Bundle Multi (4-in-1) - Python Programming
You’ll learn about programming, logical code for large-scale projects.Preview Bundle Multi (4-in-1) - Python Programming course
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This is the Bundle Multi (4-in-1) - Python Programming course by Uplatz consisting of self-paced training (pre-recorded videos) on the following courses:
1. Python Programming for Beginners
2. Python Programming (basic-to-advanced)
3. Python Programming (advanced)
4. GUI Programming in Python
Python is a general-purpose programming language used in web development, data science and also for creating software prototypes. It is a very simple and easy to use programming language and a must-know for individuals who want to excel in the field of web development and Data Science.
Python is a programming language known for its code readability and use of whitespace for user-friendly design, making it easier to use the purpose of coding. Its approach aims to help programmers write clear, logical code for large-scale projects.
Python presents itself using data structures such as listing, dictionaries, strings and standard operations including sorting, mapping, concatenation and slicing. It supports Object-Oriented Programming paradigms and its class model supports polymorphism, operator overloading, and multiple inheritances.
What can Python do?
a).Python can be used on a server to create web applications.
b).Python can be used alongside software to create workflows.
c).Python can connect to database systems. It can also read and modify files.
d).Python can be used to handle big data and perform complex mathematics.
e).Python can be used for Data Science and Advanced Analytics and Statistics.
In this Bundle Multi (4-in-1) Python Programming training by Uplatz, you will get all the insights of the Python language, from functions to Datatypes and from Files to Object and Class, and how to implement the Python programming constructs to build complex applications.
In this course you’ll find Python tutorials that teach you advanced concepts so you can be on your way to become a master of the Python programming language. Once you’re past the intermediate level you can start digging into these tutorials that will teach you advanced Python concepts and patterns.
Moreover, at the end of the successful completion of this Python tutorial, learners will be awarded a certificate of completion along with having access to the whole course for a lifetime.
Course/Topic 1 - Python Programming - all lectures
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In this lecture session we learn about introduction to python programming for beginners and also talk about features of python programming.
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In this lecture session we learn about basic elements of python in python programming and also talk about features of elements of python.
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In this lecture session we learn about installation of python in your system and also talk about the best way of installation of python for beginners.
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In this lecture session we learn about input and output statements in python programming and also talk about features of input and output statements.
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In this lecture session we learn about data types in python programming and also talk about all the data types in python programming.
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In this lecture session we learn about operators in python and also talk about how we use operators in python programming.
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In this lecture session we learn about different types of operators in python programming and also talk about features of operators in python.
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In this lecture session we learn about type conversion in python programming and also talk about features of type conversion in python.
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In this lecture session we learn about basic programming in python programming for beginners.
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In this lecture session we learn about features of basic programming in python and also talk about the importance of programming in python.
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In this lecture session we learn about math modules in python programming and also talk about features of math modules in python.
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In this lecture session we learn about conditional statements in python and also talk about conditional statements in python programming.
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In this lecture session we talk about basic examples of conditional statements in python.
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In this lecture session we learn about greater and less then conditional statements in python programming.
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In this lecture session we learn about nested IF Else statements and also talk about features of nested IF else statements.
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In this lecture session we learn about looping in python in programming for beginners and also talk about looping in python.
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In this lecture session we learn about break and continue keywords and also talk about features of break continue keywords.
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In this lecture session we learn about prime number programs in python and also talk about functions of prime number programs in python.
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In this lecture session we learn about while loop in python programming and also talk about features of while loop in python.
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In this lecture session we learn about nested For loop in python programming and also talk about features of nested For loop.
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In this lecture session we learn about features of nested for loop in python and also talk about the importance of nested For loop in python.
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In this lecture session we learn about functions in python and also talk about different types of functions in pythons.
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In this lecture session we learn about passing arguments to functions in python programming and also talk about features of passing arguments to functions
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In this lecture session we learn about return keywords in python and also talk about features of return keywords in python.
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In this lecture session we learn about calling a function in python programming and also talk about calling a function.
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In this lecture session we learn about factors of calling a function in python programming and also talk about features of calling a function.
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In this lecture session we learn about a program to swap 2 numbers using calling a function in python programming.
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In this lecture session we learn about functions of arbitrary arguments in python programming and also talk about features of arbitrary arguments.
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In this lecture session we learn about functions keywords arguments in python programming and also talk about features of keyword arguments.
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In this lecture session we learn about functions default arguments in python programming and also talk about features of default argument.
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In this lecture session we learn about global and local variables in python programming and also talk about features of global and local variables.
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In this lecture session we learn about global and local keywords and also talk about features of global and local keywords.
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In this lecture session we learn about strings in python programming and also talk about features of string in python.
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In this lecture session we learn about string methods in python programming and also talk about features of string methods in python.
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In this lecture session we learn about string functions in python and also talk about features of strings functions in python.
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In this lecture session we learn about string indexing in python programming and also talk about features of string indexing in python programming.
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In this lecture session we learn about introduction of lists in python programming and also talk about features of introduction to lists.
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In this lecture session we learn about basics of lists python programming and also talk about features of basics of lists in python.
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In this lecture session we learn about list methods and also talk about features of list method python programming.
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In this lecture session we learn about linear search on list and also talk about features of linear search on list in brief.
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In this lecture session we learn about the biggest and smallest number of the list and also talk about features of MAX and Min in a list.
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In this lecture session we learn about the difference between 2 lists in python programming and also talk about features of 2 lists.
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In this lecture session we learn about tuples in python programming and also talk about tuples in python programming.
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In this lecture session we learn about introduction to sets in python and also talk about functions of introduction to sets in python.
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In this lecture session we learn about set operations in python programming and also talk about features of set operation in brief.
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In this lecture session we learn about set examples and also talk about features set examples.
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In this lecture session we learn about introduction to dictionaries in python programming and also talk about featured dictionaries.
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In this lecture session we learn about creating and updating dictionaries in python programming and also talk about features of creating and updating dictionaries.
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In this lecture session we learn about deleting items in a dictionary in python programming and also talk about features of deleting items in a dictionary.
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In this lecture session we learn about values and items in a dictionary in python programming and also talk about features of values and items in the dictionary.
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In this lecture session we learn about dictionary methods in python programming and also talk about features of dictionary methods.
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In this lecture session we learn about built in methods in python programming and also talk about features of built in methods in python.
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In this lecture session we learn about lambda functions and also talk about features of lambda function in python programming.
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In this lecture session we learn about file handling in python programming and also also talk about the importance of file handling in python.
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In this lecture session we learn about file handling in python programming and also talk about features of file handling in python.
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In this lecture session we learn about exception handling in python and also talk about features of exception handling in python.
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In this lecture session we learn about exception handling examples in python programming.
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In this lecture session we learn about python programs in python programming and also talk about features of python programs
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In this lecture session we learn about the program of printing odd numbers in python programming and also talk about the best way of printing.
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In this lecture session we learn about counting the number of vowels and consonants in a string and also talk about features of these programs.
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In this lecture session we learn about python programs of swapping two numbers in a list by taking indexes as parameters.
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In this lecture session we learn about bubble sort and also talk about features of bubble sort in brief.
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In this lecture session we learn about operator precedence in python and also talk about features of operator precedence in python.
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In this lecture session we learn about operator precedence in python and also talk about features of operator precedence types.
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In this lecture session we learn about recursion in python and also talk about features of recursion in python.
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In this lecture session we learn about binary search in python and also talk about features of binary search in python programming.
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In this lecture session we learn about binary search in python and also talk about the importance of binary search in python.
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In this lecture session we learn about object oriented programming and also talk about features of object oriented programming in brief.
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In this lecture session we learn about factors and types of object oriented programming in python programming.
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In this lecture session we learn about OOPS and procedural programming and also talk about features of OOPS and procedural programming in OOPS.
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In this lecture session we learn about OOPS programs in python and also talk about the importance of OOPS.
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In this lecture session we learn about inheritance in python programming and also talk about features of inheritance.
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In these lecture sessions we learn about features of object creation in python programming and also talk about object creation in python.
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In this lecture session we learn about OOPS terminology and functions and also talk about features of OOPS terminology and functions.
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In this lecture session we learn about built in class attributes and garbage collection in python programming.
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In this lecture session we learn about inheritance in python and also talk about features of inheritance in python.
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In this lecture session we learn about the importance of inheritance in python programming and also talk about functions of inheritance.
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In this lecture session we learn about programs in inheritance in python programming and also talk about features of inheritance in python.
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In this lecture session we learn about polymorphism in python programming polymorphism and also talk about polymorphism in python.
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In this lecture session we learn about features of polymorphism in python and also talk about the importance of polymorphism in python.
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In this lecture session we learn about the time module in python and also talk about features time module in python in features.
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In this lecture session we learn about the importance of time modules in python time module in python in brief.
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In this lecture session we learn about the calendar module in python programming in brief.
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In these lecture sessions we learn about calendar methods in python programming and also talk about the importance of calendar methods.
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Class 28.1 - Boolean in Python
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In this lecture session we learn about python iterators and also talk about features of python iterators in brief.
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In this lecture session we learn about python programs and summary in python programming and also talk about python programs.
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In this lecture sessions we learn about python programs and also talk about features of python programs and summary.
Course/Topic 2 - Python Programming (basic to advanced) - all lectures
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This video comprehends the terms Python which is to develop by Guido van Rossum. Guido van Rossum started implementing Python in 1989. Python is a very simple programming language so even if you are new to programming, you can learn python without facing any issues.
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This topic will cover, Installing Python which is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers now come with Python already installed.
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In this Python tutorial, we will learn about Python variables and data types which is being used in Python. We will also learn about converting one data type to another in Python and local and global variables in Python. So, let’s begin with Python variables and data types Tutorial.
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In this topic you will learn about the data type which is an important concept. Variables can store data of different types, and different types can do different things.
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This session will teach you about the Python defines type conversion functions to directly convert one data type to another which is useful in day to day and competitive programming. This article is aimed at providing information about certain conversion functions.
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In this tutorial, you will learn about the keywords which is the reserved words in Python and identifiers names given to variables, functions, etc. We cannot use a keyword as a variable name, function name or any other identifier. They are used to define the syntax and structure of the Python language.
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In this tutorial, we are going to learn how to take multiple inputs from the user in Python. The data entered by the user will be in the string format. So, we can use the split method to divide the user entered data.
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This tutorial focuses on two built in functions print and input to perform Input and Output task in Python. Also, you will learn to import modules and use them in your program. Some of the functions like input and print are widely used for standard input and output operations respectively. Let us see the output section first.
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This tutorial covers the different types of operators in Python, operator overloading, precedence and associativity. Just like in mathematics, programming languages like Python have operators. You can think of them as extremely simple functions that lie at the basis of computer science.
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In this tutorial, you'll learn everything about different types of operators in Python, their syntax and how to use them with examples. Operators are special symbols in Python that carry out arithmetic or the logical computation. The value that the operator operates on is called the operand.
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Previously, in our tutorial on Python Operators., Today, in this Python Bitwise Operators Tutorial, we will discuss Python Bitwise AND, OR, XOR, Left-shift, Right-shift, and 1’s complement Bitwise Operators in Python Programming. Along with this, we will discuss syntax and example of Python Bitwise Operators.
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Today, we talk about Python decision making constructs. This includes Python if statements, if else statements, elif statement, nested if conditions and single statement conditions. We will understand these with syntax and example to get a clear understanding. So, let’s start the Python Decision Making Tutorial.
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In this session you will learn about the if elif else which are conditional statements that provide you with the decision making that is required when you want to execute code based on a particular condition. The if elif else statement used in Python helps automate that decision making process.
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In this session, you'll learn the different variations of for loop, for loop is used for iterating over a sequence that is either a list, a tuple, a dictionary, a set, or a string. This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.
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In this session, you will learn to create a while loop in Python. Loops are used in programming to repeat a specific block of code. In this article, you will learn to create a while loop in Python. Loops are used in programming to repeat a specific block of code.
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In this session, we show how to create an infinite loop in Python. An infinite loop that never ends it never breaks out of the loop. So, whatever is in the loop gets executed forever, unless the program is terminated. For certain situations, an infinite loop may be necessary.
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In this video, you will learn how to make the computer execute a group of statements over and over if certain criterion holds. The group of statements being executed repeatedly is called a loop.
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In this session, you'll learn about the different numbers used in Python, how to convert from one data type to the other, and the mathematical operations supported in Python. Python supports integers, floats and complex numbers.
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In the tutorial on strings in Python, you learned how to define strings objects that contain sequences of character data. Processing character data is integral to programming. It is a rare application that doesn’t need to manipulate strings at least to some extent.
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As discussed in the above tutorial, strings in Python are immutable and thus updating or deleting an individual character in a string is not allowed, which means that changing a particular character in a string is not supported in Python. Although, the whole string can be updated and deleted.
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In this session, we'll learn everything about Python lists, how they are created, slicing of a list, adding or removing elements from them and so on. The list is a most versatile datatype available in Python which can be written as a list of comma-separated values items between square brackets. Important thing about a list is that items in a list need not be of the same type.
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In this tutorial, learn how to update list element using Python. Use the index position and assign the new element to change any element of List. You can change the element of the list or item of the list with the methods given here.
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In that tutorial of Python Functions, we discussed user-defined functions in Python. But that isn’t all, a list of Python built-in functions that we can toy around with. In this tutorial on Built-in functions in Python, we will see each of those, we have 67 of those in Python 3.6 with their Python Syntax and examples.
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In this tutorial, you'll learn everything about Python tuples. More specifically, what are tuples, how to create them, when to use them and various methods you should be familiar with. A tuple in Python is similar to a list. The difference between the two is that we cannot change the elements of a tuple once it is assigned whereas we can change the elements of a list.
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This session teaches you the tuple in Python which are immutable sequences, you cannot update them. You cannot add, change, remove items (elements) in tuples.Tuple represent data that you don't need to update, so you should use list rather than tuple if you need to update it. However, if you really need to update tuple, you can convert it to list, update it, and then turn it back into tuple.
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In this tutorial, you'll learn everything about Python dictionaries how they are created, accessing, adding, removing elements from them and various built in methods. Python dictionary is an unordered collection of items. Each item of a dictionary has a pair. Dictionaries are optimized to retrieve values when the key is known.
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In this session we will teach you the dictionary which is a data type similar to arrays, but works with keys and values instead of indexes. Each value stored in a dictionary can be accessed using a key, which is any type of object a string, a number, a list, etc. instead of using its index to address it.
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In this session we will teach you the Python for beginners training course which is a lead the students from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.
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In this video, you will learn to manipulate date and time in Python with the help of examples. Python has a module named datetime to work with dates and times. Let's create a few simple programs related to date and time before we dig deeper.
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In this session, you'll learn about functions, what a function is, the syntax, components, and types of functions. Also, you'll learn to create a function in Python. In Python, a function is a group of related statements that performs a specific task. Functions help break our program into smaller and modular chunks.
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In this video we will learn, the function which use the same variable and object. Pass by Value. In pass by value the function is provided with a copy of the argument object passed to it by the caller. That means the original object stays intact and all changes made are to a copy of the same and stored at different memory locations.
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In this tutorial, you'll learn about the anonymous function, also known as lambda functions. You'll learn what they are, their syntax and how to use them with examples.
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In this tutorial we will teach you the module which is a piece of software that has a specific functionality. Like, when building a ping pong game, one module would be responsible for the game logic, and another module would be responsible for drawing the game on the screen. Each module is a different file, which can be edited separately.
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This session teaches you the Python rename method which is used to rename a file or directory. This method is a part of the python module and comes extremely handy.
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In this tutorial, you'll learn about Python file operations. More specifically, opening a file, reading from it, writing into it, closing it, and various file methods that you should be aware of.
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In this tutorial we will learn about program for files in Python which provides us with an important feature for reading data from the file and writing data into a file. Mostly, in programming languages, all the values or data are stored in some variables which are volatile in nature.
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In this session we will tell you the method that you the current position within the file; in other words, the next read or write will occur at that many bytes from the beginning of the file. The seek method changes the current file position.
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In this tutorial, you'll learn how to handle exceptions in your Python program using try, except and finally statements with the help of examples. Python has many built-in exceptions that are raised when your program encounters an error (something in the program goes wrong).
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In this tutorial, you will learn about different types of errors and exceptions that are built-in to Python. They are raised whenever the Python interpreter encounters errors.
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In this video we will teach you about the Exception handling in Python which is very similar to Java. The code, which harbors the risk of an exception, is embedded in a try block.
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In this tutorial, you will learn about the core functionality of Python objects and classes. You'll learn what a class is, how to create it and use it in your program.
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In this session you will learn about the programming in Python (object-oriented programming) for some time, then you have definitely come across methods that have self as their first parameter. Let us first try to understand what this recurring self-parameter is.
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This tutorial teaches you about the regular expression which is a special sequence of characters that helps you match or find other strings or sets of strings, using a specialized syntax held in a pattern. Regular expressions are widely used in UNIX world.
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In this tutorial we will learn about the python search which is a method of the module That is Syntax of search () re. search (pattern, string). It is similar to re. match () but it doesn’t limit us to find matches at the beginning of the string only. Unlike in re. match () method, here searching for pattern ‘Tutorials’ in the string ‘TP Tutorials Point TP’ will return a match.
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This workshop will introduce GUI programming in Python, it is a is a popular language for elementary programming but it not so easy to write programs with a graphical user interface (GUI).
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In this tutorial, we will learn how to develop graphical user interfaces by writing some Python GUI examples using the Tkinter package. Tkinter package is shipped with Python as a standard package, so we don’t need to install anything to use it.
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This session teaches you about the frame widgets which is a rectangular region on the screen. The frame widget is mainly used as a geometry master for other widgets, or to provide padding between other widgets.
Course/Topic 3 - Python Programming (advanced) - all lectures
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In this lecture session of python programming we learn about the basic introduction of Numpy and also talk about features of Numpy in python programming.
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In this lecture session we learn about Numpy tutorial basics and also talk about functions and importance of Numpy in python programming in advance.
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In this lecture session we learn about Numpy attributes and functions in python programming in python programming and also talk about features of Num py attributes.
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In this lecture session we learn about creating arrays from existing data and also talk about how we create arrays in the best way and features of array.
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In this lecture session we learn about creating arrays from ranges in python programming and also talk about features of creating arrays from ranges in brief.
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In this lecture session we learn about indexing and slicing in Numpy and also talk about features and importance of indexing and slicing in Num py.
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In this lecture session we learn about advanced slicing in Num py and also talk about features of advanced slicing in Numpy.
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In this lecture session we learn about append and resize functions in python programming and also talk about functions of append and resize functions.
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In this lecture session we learn about Nditer function and broadcasting in python programming and also talk about Nditer functions.
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In this lecture session we learn about Nditer functions in python programming and also talk about features of Nditer functions in brief.
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In this lecture session we learn about Numpy broadcasting in python programming and also talk about features of Numpy broadcasting.
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In this lecture session we learn about Numpy broadcasting in python programming and also talk about features of Numpy broadcasting.
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In this lecture session we learn about Numpy broadcasting functions in python programming and also talk about functions of Num py broadcasting.
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In this lecture session we learn about arrays manipulation functions in python programming and also talk about features of array manipulation functions.
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In this lecture session we learn about Num py unique in python programming and also talk about features of Num py uniques.
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In this lecture session we learn about Numpy delete in python programming and also talk about features of Numpy delete().
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In this lecture session we learn about containing alternate values from array deleted and also talk about double dimension arrays.
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In this lecture session we learn about Num py insert function in python programming and also talk about different types of function in python.
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In this lecture session we learn about Num py Ravel() swapaxes in python programming and also talk about features of swapaxes().
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In this lecture session we learn about split function in python programming and also talk about some functions and features of split function.
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In this lecture session we learn about HSplit functions in python programming and also talk about the importance of HSplit functions.
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In this lecture session we learn about left shift and right shift functions in python programming and also talk about features of left shift and right shift functions.
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In this lecture session we learn about left shift and right shift functions in python programming and also talk about features of left shift and right shift functions.
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In this lecture session we learn about In this lecture session we learn about and also talk about features of NumPy Trigonometric Functions.
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In this lecture session we learn about Numpy round functions in python programming and also talk about factors of round functions.
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In this lecture session we learn about Num py arithmetic functions in python programming and also talk about features of arithmetic functions.
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In this lecture session we learn about Num py power and reciprocal functions in python programming and also talk about features of Num py power and reciprocal functions.
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In this lecture session we learn about Num py power and mod function in python programming and also talk about features of mod functions.
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In this lecture session we learn about Num py Imag() and real() in python programming and also talk about features of Imag() real() functions.
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In this lecture session we learn about Numpy concatenate functions in python programming and also talk about factors and features of concatenate functions.
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In this lecture session we learn about Num py statistical functions in python programming and also talk about features of statistical functions.
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In this lecture session we learn about Numpy statistical functions in python programming and also talk about mean median Ptp functions in brief.
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In this lecture session we learn about Num py average functions in python programming and also talk about features of average functions.
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In this lecture session we learn about Num py sort search counting and also talk about factors of search counting functions in brief.
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In this lecture session we learn about Num py search sort algorithms in python programming and also talk about features of search sort algorithms in brief.
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In this lecture session we learn about Sort() functions and also talk about features of Sort() function in python programming.
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In this lecture session we learn about Numpy sort functions and also talk about features Sort function in brief.
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In this lecture session we learn about Numpy argsort in python programming and also talk about features of argsort in brief.
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In this lecture session we learn about Non zero where in python programming and also talk about function of Nonzero where in brief.
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In this lecture session we learn about Extract and Int in python programming and also talk about key features of Extract.
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In this lecture session we learn about argmax() and argmin in python programming and also talk about features of argos and argmin.
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In this lecture session we learn about Byteswap copies and views in python programming and also talk about features of Byteswap couples and views.
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In this lecture session we learn about str functions in Numpy in python programming and also talk about features of str functions.
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In this lecture session we learn about string function in numpy add and also talk about features of ADD() and Multiply() functions.
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In this lecture session we learn about Numpy centers in python programming and also talk about functions of Numpy centers.
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In this lecture session we learn about capitalize centers in python programming and also talk about features of capitalize centers.
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In this lecture session we learn about string functions in python programming and also talk about features of string functions.
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In this lecture session we learn about String functions in advance and string functions in python programming in brief.
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In this lecture session we learn about Numpy matrix library in python programming and also talk about features of Numpy matrix in brief.
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In this lecture session we learn about Numpy joining arrays in python programming and also talk about functions of arrays joining.
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In this lecture session we learn about Linear algebra in python programming and also talk about features of linear algebra.
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In this lecture session we learn about features of Linear algebra in python programming and also talk about the importance of linear algebra.
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In this lecture session we learn about Linear algebra examples and also talk about real time examples of linear algebra.
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In this lecture session we learn about Linear algebra features and real time examples of Arrays functions using linear algebra.
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In this lecture session we learn about the program of determination in matrix using linear algebra and also talk about features of determination in matrix.
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In this lecture session we learn about inverse of matrix using linear algebra and also talk about features of inverse of algebra.
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In this lecture session we learn about the program of inverse of matrix in brief and also talk about functions of inverse of matrix.
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In this lecture session we learn about random modules in python programming and also talk about features of random modules in brief.
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In this lecture session we learn about features of random modules in python programming and also talk about functions of random modules.
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In this lecture session we learn about random rand modules in python programming and also talk about Numpy import in brief.
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In this lecture session we learn about the program of random rand modules in python programming and also talk about features of random modules.
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In this lecture session we learn about python tags, copyright and credits in randam modules and also talk about features of tags, copyrights and credit.
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In this lecture session we learn about the difference between randn and rand() functions in python programming.
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In this lecture session we learn about random integers and also talk about features of random integers modules in brief.
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In this lecture session we learn about how we use dimension of arrays in random modules in brief.
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In this lecture session we learn about permutation in random modules in python programming and also talk about functions of permutations.
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In this lecture session we learn about python random modules in python programming and also talk about python modules.
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In this lecture session we learn about random choice sequences and also talk about features of random choices.
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In this lecture session we learn about random select modules in python programming and also talk about functions of random select modules.
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In this lecture session we learn about how we get a random boolean in python using random choices and also talk about features of choice from the tuples.
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In this lecture session we learn about how we generate random strings and passwords in python and also talk about import random.
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In this lecture session we learn about how to generate an uppercase random string of fixed length and also talk about features of uppercase random string module.
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In this lecture session we learn about how we generate a random alphanumeric string letter and also talk about features of alphanumeric string.
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In this lecture session we learn about random seed in python programming and also talk about functions of random need modules.
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In this lecture session we learn about random use, random seed and shuffle in python programming.
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In these lecture sessions we learn about generating a random alphanumeric string with a fixed count of letters.
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In this lecture session we learn secrets modules in python programming and also talk about features of secrets modules in brief.
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In this lecture session we learn about secret python modules to generate secure random numbers and also talk about the importance of secrets modules.
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In this lecture session we learn about random module uniform functions and also talk about features of random module uniforms functions.
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In this lecture session we learn about random modules that generate numbers except K and also talk about features of random modules that generate numbers except K.
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In this lecture session we learn about secrets module generate tokens in python programming.
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In this lecture session we learn about random modules that generate binary strings in brief.
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In this lecture session we learn about Numpy module revision in python programming and also talk about features of Numpy module revision in brief.
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In this lecture session we learn about Numpy module revision features in python programming and also talk about importing Numpy.
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In this lecture session we learn about Numpy indexing in python programming and also talk about the importance of indexing.
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In this lecture session we learn about Numpy basic operations in python programming and also talk about features of basic operations.
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In this lecture session we learn about Unary operators in Numpy in python programming and also talk about features of unary operators in Numpy.
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In this lecture session we learn about binary operators in Numpy in python programming and also talk about the importance of binary operators.
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In this lecture session we learn about universal operators in Numpy and also talk about features of universal operators in Numpy.
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In this lecture session we learn about Numpy filter arrays and also talk about the importance of filter arrays in python programming.
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In this lecture session we learn about Numpy module projects in python programming and also talk about other module projects.
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In this lecture session we learn about how to remove from one array those items that exist in another module projects.
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In this lecture session we learn the Numpy program to find the max and mine in python programming.
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In this lecture session we learn about compute mean, STD, variance of a given array along the second axis in python programming.
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In this lecture session we learn about the covariance matrix of 2 arrays and also talk about features of the covariance matrix.
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In this lecture session we learn about covert Numpy dtypes to native python types also talk about features of covert dtypes.
a).Learn how to create web applications.
b).How to read and modify files.
c).How to handle big data and perform complex mathematics.
d).How to learn about data Science and Advanced Analytics and Statistics.
This comprehensive course covers essential aspects of Python programming, including core Python concepts, data analysis with libraries like Pandas and NumPy, web development using Flask, and an introduction to machine learning with Scikit-Learn. Participants will gain practical skills and hands-on experience to build real-world applications.
Part 1: Introduction to Python Programming
Week 1: Getting Started with Python
a).Introduction to Python: History, features, and applications
b).Setting up the Python environment (Anaconda, Jupyter Notebook, IDEs)
c).Understanding basic syntax: Variables, data types, and operators
d).Hands-on exercise: Writing and executing your first Python script
Week 2: Control Structures and Functions
a).Conditional statements (if, elif, else)
b).Loops: for and while
c).Functions: defining, calling, and passing arguments
d).Hands-on exercise: Creating functions and using control structures
Week 3: Data Structures in Python
a).Overview of built-in data structures: lists, tuples, dictionaries, and sets
b).Understanding list comprehensions and dictionary comprehensions
c).Hands-on exercise: Manipulating and utilizing data structures
Part 2: Data Analysis with Python
Week 4: Introduction to NumPy
a).Understanding NumPy arrays and their advantages
b).Array operations: indexing, slicing, and reshaping
c).Mathematical functions and statistical operations in NumPy
d).Hands-on exercise: Performing array manipulations and calculations
Week 5: Data Manipulation with Pandas
a).Introduction to Pandas DataFrames and Series
b).Importing and exporting data (CSV, Excel)
c).Data cleaning, filtering, and grouping
d).Hands-on exercise: Analyzing and manipulating datasets using Pandas
Week 6: Data Visualization
a).Overview of data visualization libraries: Matplotlib and Seaborn
b).Creating various types of plots: line, bar, histogram, and scatter plots
c).Customizing visualizations for better insights
d).Hands-on exercise: Visualizing data using Matplotlib and Seaborn
Part 3: Web Development with Flask
Week 7: Introduction to Web Development with Flask
a).Overview of web frameworks and Flask architecture
b).Setting up a Flask application and routing
c).Understanding HTML, CSS, and JavaScript basics
d) Hands-on exercise: Creating a simple Flask web application
Week 8: Working with Databases
a).Introduction to SQL and relational databases
b).Using Flask-SQLAlchemy for database interactions
c).Building forms and handling user input
d).Hands-on exercise: Implementing a CRUD application with Flask and SQL
Part 4: Introduction to Machine Learning
Week 9: Basics of Machine Learning
a).Understanding machine learning concepts and types (supervised, unsupervised)
b).Introduction to Scikit-Learn and its ecosystem
c).Data preprocessing and feature selection techniques
d).Hands-on exercise: Preparing data for machine learning
Week 10: Building Machine Learning Models
a).Overview of regression and classification algorithms
b).Implementing models: Linear Regression and Decision Trees
c).Evaluating model performance using metrics (accuracy, precision, recall)
d).Hands-on exercise: Building and evaluating a simple machine learning model
Part 5: Capstone Project
Week 11: Capstone Project Preparation
a).Overview of capstone project objectives
b).Defining project scope and selecting a topic
c).Initial project planning and outlining tasks
d).Group discussion and feedback session on project ideas
Week 12: Capstone Project Execution
a).Implementing the project using learned skills (Python programming, data analysis, web development, machine learning)
b).Presenting findings and applications to the class
c).Peer reviews and discussions on project experiences and challenges
Recommended Resources:
a)Textbooks:
a. "Python Crash Course" by Eric Matthes
b. "Python for Data Analysis" by Wes McKinney
c. "Flask Web Development" by Miguel Grinberg
b)Online Resources:
a. Official Python documentation and tutorials
b. Kaggle for data science and machine learning practice
c) Tools:
a. Python environment (Anaconda, Jupyter Notebook, Flask framework)
Assessment:
a).Weekly quizzes and assignments
b).Mid-term project focused on data analysis or web development
c).Final capstone project showcasing a complete application utilizing Python skills
The Python Programming Certification ensures you know planning, production and measurement techniques needed to stand out from the competition.
Python is a backend programming language that's great for beginners. Python is similar in many ways to Ruby, but is less verbose than other programming languages - a little less wordy. Python is approachable. Even if you haven't taken a CS class, you can still write a useful tool in Python.
Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.
A valuable Python certificate is a powerful weapon in the race for better employment, first-rate expertise and greater competitiveness. Certification opens doors to a better job and a better salary. It is a great motivator for self-improvement and self-development.
Uplatz online training guarantees the participants to successfully go through the Python Programmingcertification provided by Uplatz. Uplatz provides appropriate teaching and expertise training to equip the participants for implementing the learnt concepts in an organization.
Course Completion Certificate will be awarded by Uplatz upon successful completion of the Python Programmingonline course.
The Python Programming draws an average salary of $110,000 per year depending on their knowledge and hands-on experience. The Python Programming developer job roles are in high demand and make a rewarding career.
Python is not only one of the most popular programming languages across the globe, but it is one that offers the most promising career opportunities as well. This demand for Python developers is increasing every year. There is a reason why this high-level programming language is so popular.
The highest number of Python programming jobs is for software engineer roles. People with this job title very often specialize in another programming language aside from Python – Java and Javascript are among the popular options. The second type of role with the most Python coding jobs is data scientist.
Note that salaries are generally higher at large companies rather than small ones. Your salary will also differ based on the market you work in.
a).Python Programming Language Application
b).Lead Python developer.
c).Python Programming Language Application Developer.
d).Software Engineering: Python Developer.
Q1.What are the core default modules available in Python? List down a few of them.
Ans. Following are a few of the default modules available in Python.
a) email – Help to parse, handle, and generate email messages.
b) string – Contains functions to process standard Python strings.
c) sqlite3 – Provides methods to work with the SQLite database.
d) XML – Enables XML support.
e) logging – Adds support for log classes and methods.
f) traceback – Allows to extract and print stack trace details.
Q2.Why is <__init__.py> module used in Python?
Ans.
The <__init__.py> module can help in fulfilling following objectives.
1.It makes Python interpret directories as containing packages by excluding the ones with a common name such as string.
2.It grants a programmer with the control to decide which directory is a package and which is not.
3.However, the <__init__.py> can also be an empty file. It can then help in executing the initialization code for a package or setting the <__all__> variable.
Q3.What is a negative index in Python?
Ans.
In Python, we can access both arrays & lists using a positive or negative numbers (aka index). A negative index reads the list elements from the end counting in the backward direction. Check out from the example given below.
>
>> import array >>> a = [1, 2, 3] >>> print a[-3] 1 >>> print a[-2] 2 >>> print a[-1] 3
Q4. What is Pickling and how does it differ from Unpickling?
Ans.
Pickling is a process by which a Python object gets converted into a string via a pickle module. The process then puts it into a file by calling the dump() method.
Whereas unpickling does the reverse of the above-said process. It retrieves the stored string and turns it back into an object.
Q5.What is slicing in Python? Explain with example.
Ans.
Slicing in Python is a mechanism to select a range of items from Sequence types like strings, list, tuple, etc.
>>> l=[1,2,3,4,5]
>>> l[1:3]
[2, 3]
>>> l[1:-2]
[2, 3]
>>> l[-3:-1] # negative indexes in slicing
[3, 4]
>>> s="Hello World"
>>> s[1:3]
'el'
>>> s[:-5]
'Hello '
>>> s[-5:]
'World'
Q6. What are the different ways to generate random numbers in Python?
Ans
#1. random() - This command returns a floating point number, between 0 and 1.
#2. uniform(X, Y) - It returns a floating point number between the values given as X and Y.
#3. randint(X, Y) - This command returns a random integer between the values given as X and Y.
Q7. Why is the “pass” keyword used for in Python?
Ans.
The “pass” keyword is a no-operation statement in Python. It signals that no action is required. It works as a placeholder in compound statements which are intentionally left blank.
>>> if x==0:
pass
else:
print "x!=0"
Q8. What are iterators in Python?
Ans.
Iterators in Python enables to traverse containers like a list or a set of elements. For a container to support iterator, it must provide the <__iter__()> method.
container.__iter__() :
# This returns an iterator object.
Q9. What are the generators in Python?
Ans.
Generators are a way of implementing iterators. A generator function is a normal function except that it contains yield expression in the function definition making it a generator function.
This function returns a generator iterator known as a generator.
To get the next value from a generator, we use the same built-in function as for iterators: <next(). next()> takes care of calling the generator’s <__next__()> method.
Q10.How will you run a subprocess or an external program with arguments in Python?
Ans.
There are two methods which can run a subprocess or external programs. First is to use the subprocess module in the stdlib.
from subprocess import call
call(["ls", "-l"])
The advantage of subprocess vs system is that it is more flexible. You can get the stdout, stderr, the “real” status code and better error handling. The second approach to run a program with arguments is as follows.
subprocess.Popen(arglist,stdout=outputfile)
Q11. How will you remove the duplicate elements from the given list?
words = [‘one’, ‘one’, ‘two’, ‘three’, ‘three’, ‘two’]
Ans.
A simple solution is to iterate over the list, identify duplicates and remove them.
But the best solution which we can recommend is as follows.
a = [1,2,2,3]
list(set(a))
The set is another type available in Python. It doesn’t allow copies and provides some good functions to perform set operations like union, difference etc.
Q12.How will you print the sum of numbers starting from 1 to 100 (inclusive of both)?
Ans-
print sum(range(1,101))
#range() returns a list to the sum function containing
#all the numbers from 1 to 100. Please see that
#the range function does not include the end given (101 here).
print(sum(xrange(1, 101)))
#xrange() returns an iterator rather than a list
#which is less heavy in the memory.
Q13.What is the best approach to store a list of an employee’s first and last names?
Ans.
A list of first and last names is best stored as a list of dictionaries. The following format can be used.
{'first_name':'Example','last_name':'TechBeamers'}
Q14:Does Python allow arguments Pass by Value or Pass by Reference?
Ans.
Neither the arguments are Pass by Value nor does Python supports Pass by reference. Instead, they are Pass by assignment.
The parameter which you pass is originally a reference to the object not the reference to a fixed memory location. But the reference is passed by value. Additionally, some data types like strings and tuples are immutable whereas others are mutable.
Q15.What are the different methods Python provides for copying an object?
Ans. We can either use a “Shallow Copy” or follow a “Deep Copy” approach.
Shallow Copy method.
The content of an object (say dictionary) doesn’t get copied by value but by creating a new reference.
>>> a = {1: [1,2,3]}
>>> b = a.copy()
>>> a, b
({1: [1, 2, 3]}, {1: [1, 2, 3]})
>>> a[1].append(4)
>>> a, b
({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})
Deep Copy method.
It copies all the contents by value.
>>> c = copy.deepcopy(a)
>>> a, c
({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})
>>> a[1].append(5)
>>> a, c
({1: [1, 2, 3, 4, 5]}, {1: [1, 2, 3, 4]})