Python Programming (basic to advanced)Learn Python programming from scratch. Use Python for web development, data analysis, scientific computing, machine learning, and complex applications
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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Python is regarded as one of the most preferred languages in data science and data analysis as more and more data scientists choose open source scripting languages for machine learning and their working algorithms. in data science. The reason for this growing popularity over the years is due to Python's easy-to-code syntax and large number of built-in libraries and frameworks.
Python can be used for a wide range of applications, including web development, data analysis, scientific computing, machine learning, and more. It is often used in fields such as finance, healthcare, and technology, as well as in academia and research.
Some of the key features of Python include:
1) Easy to learn: Python has a simple and intuitive syntax that makes it easy to learn and read. This makes it an ideal language for beginners and experienced programmers alike.
2) Large standard library: Python comes with a large standard library that provides a wide range of modules and functions for tasks such as web development, data analysis, and scientific computing. This reduces the need for developers to write code from scratch and makes it easier to develop complex applications.
3) Cross-platform: Python can run on a variety of operating systems, including Windows, macOS, and Linux. This makes it a versatile language that can be used in many different environments.
4) Dynamically typed: Python is a dynamically typed language, which means that variable types are determined at runtime. This makes it easier to write and read code, but can also lead to errors if types are not handled correctly.
5) Object-oriented: Python is an object-oriented language, which means that it provides tools for organizing code into classes and objects. This makes it easier to write modular and reusable code.
In this Python Programming course by Uplatz, taught by our renowned tutor Imad Jaweed, you’ll learn how to code like a real programmer. You'll begin by learning how to leverage built-in modules and functions to efficiently optimize your code. Next, you’ll get hands-on as you learn how to write functions following best practices, such as how to write documentation and use context managers and decorators.
This Python training will help you gain an understanding of software engineering concepts, including modularity, documentation, and automated testing, before diving in to learn unit-testing skills like debugging code, Test Driven Development (TDD), and using fixtures and mocking.
Along your learning journey on the Python programming course, you'll use packages like pandas, NumPy, setuptools, pytest, and pycodestyle. By the end of the Python course, you'll be using your object-oriented programming (OOP) skills to read, reuse, and maintain your code.
Course/Topic - Python Programming (basic to advanced) - all lectures
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
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.
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).
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.
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.
· Master the fundamentals of writing Python scripts
· Learn core Python scripting elements such as variables and flow control structures
· Discover how to work with lists and sequence data
· Write Python functions to facilitate code reuse
· Use Python to read and write files
· Make their code robust by handling errors and exceptions properly
· Work with the Python standard library
· Explore Python's object-oriented features
· Search text using regular expressions
· Understand why Python is a useful scripting language for developers
· Learn how to design and program Python applications
· Learn how to use lists, tuples, and dictionaries in Python programs
· Learn how to identify Python object types
· Learn how to use indexing and slicing to access data in Python programs
· Define the structure and components of a Python program
· Learn how to write loops and decision statements in Python
· Learn how to write functions and pass arguments in Python
· Learn how to build and package Python modules for reusability
· Learn how to read and write files in Python
· Learn how to design object‐oriented programs with Python classes
· Learn how to use class inheritance in Python for reusability
· Learn how to use exception handling in Python applications for error handling
Introduction to Python Programming
· What is Python Programming?
· History of Python Programming
· Features of Python Programming
· Why to learn Python Programming
· Application of Python Programming
Setup of Python Programming
· Getting Python
· Installation of Python
· Getting started with the first Python program
· Running the first Python Program
Variables and Data types
· What is a variable?
· Declaration of variable
· Variable assignment
· Data types in Python
· Checking Data type
· Data types Conversion
· Python programs for Variables and Data types
Python Identifiers, Keywords, Reading Input, Output Formatting
· What is an Identifier?
· Reading Input
· Taking multiple inputs from user
· Output Formatting
· Python end parameter
Operators in Python
· Operators and types of operators
a) Arithmetic Operators
b) Relational Operators
c) Assignment Operators
d) Logical Operators
e) Membership Operators
f) Identity Operators
g) Bitwise Operators
· Python programs for all types of operators
· Introduction to Decision making
· Types of decision-making statements
· Introduction, syntax, flowchart and programs for
a) if statement
b) if…else statement
c) elif statement
· Introduction to loops
· Types of loops
a) for loop
b) while loop
c) infinite loop
d) nested loop
· Break, continue and pass statement
· Python programs for all types of loops
· Number Type Conversion
· Random Number Functions
· Trigonometric Functions
· Mathematical Constants
· Accessing Values in Strings
· Updating Strings
· String Special Operators
· Built-in String Methods
· Python Lists
· Accessing Values in Lists
· Updating Lists
· Deleting List Elements
· Basic List Operations
· Built-in List Functions and Methods
· Accessing Values in Tuples
· Updating Tuples
· Deleting Tuple Elements
· Basic Tuples Operations
· Built-in Tuple Functions
· Difference between list and tuple
· Accessing Values in Dictionary
· Updating Dictionary
· Delete Dictionary Elements
· Properties of Dictionary Keys
· Built-in Dictionary Functions and Methods
DATE AND TIME
· What is Tick?
· What is TimeTuple?
· Getting Current Time
· Getting Formatted Time
· Getting Calendar for a Month
· Defining a Function
· Calling a Function
· Passing by Reference versus Passing by Value
· Ways to write function
· Types of functions
· Anonymous function
· Recursive Function
· What is a module?
· Creating a module
· The import Statement
· The ‘from’ import Statement
· Renaming a module
· Using the dir() function
· The ‘from’ import * Statement
· Locating Modules
· Printing to the Screen
· Opening and Closing Files
· The open Function
· The file Object Attributes
· The close() Method
· Reading and Writing Files
· The write() Method
· The read() Method
· More Operations on Files
· What is Exception?
· Handling an Exception
· The except Clause with No Exceptions
· The except Clause with Multiple Exceptions
· The try-finally Clause
· List of Standard Exception
· Raising an Exception
· Argument of an Exception
CLASSES AND OBJECTS
· What is an Object?
· What is a Class?
· Creating a Class
· Creating an object
· Self in Python
· __init__ method
· What is a REGULAR EXPRESSION?
· match() function
· search() function
· re.match() vs re.search()
· findall() function
· split() function
· sub() function
· What is a GUI PROGRAMMING?
· Tkinter Programming
· Tkinter Widgets
· Building Your First Python GUI program with Tkinter
The Python Programming (basic to advanced) Certification ensures you know planning, production and measurement techniques needed to stand out from the competition.
Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose.
It is a Python module that implements various iterator building blocks and together they form 'iterator algebra' which makes it possible to efficiently build tools in the Python language. The functions in itertools work on iterators itself which in turn return more complex iterators.
Yes, it's absolutely possible to learn Python on your own. Although it might affect the amount of time you need to take to learn Python, there are plenty of free online courses, video tips, and other interactive resources to help anyone learn to program with Python.
In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
The Advanced Programming course is a successor to the Introduction to Programming course. This course teaches some advanced programming concepts. It builds upon prior knowledge of students about programming using languages like C.
Uplatz online training guarantees the participants to successfully go through the Python Programming (basic to advanced) Certification 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 Programming (basic to advanced) online course.
The Python Programming (basic to advanced) draws an average salary of $125,000 per year depending on their knowledge and hands-on experience.
The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
Python Programming Language Application
Lead Python developer.
Python Programming Language Application Developer.
Software Engineering: Python Developer.
1 - What are the uses of Python language?
Ans - Python is the most powerful programming language widely used for data analysis, machine learning, data science, web applications, machine learning, artificial intelligence, and analysis science.
2 - What are the pre-requisites of learning Python language?
Ans - No pre-requisite is required. You can learn Python language from scratch even if you do not have any programming background.
3 - Who is Python programming course for?
This course is intended for programmers who need to write or maintain scripts in Python. This course is also suitable for trainee programmers who may have little, to no in-depth knowledge of programming.
4 - Why Python language is more important for IT companies?
Python is one of the most popular languages for business analytics because it is easy to use, powerful, object-oriented, open-source, and run everywhere, from Windows PC, Linux, Android, etc.
5 - Is Python an object-oriented language?
Yes, Python is an object-oriented language because it is easy to create and use classes and objects.
6 - What are the benefits of Python?
Some of the benefits of Python include:
a) Open source and community development
b) Wide support libraries
c) Learning ease and support available
d) User-friendly data structures
e) Productivity and speed