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Career Path - Software Engineer

Coding Principles & Concepts, Architectural Paradigms, and top Programming Languages for cutting-edge application development & software engineering.
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Course Duration: 250 Hours
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Courses included in Software Engineer Career Path Program by Uplatz are:
 
1) Python Programming (basic to advanced)
2) R Programming
3) Java Programming
4) JavaServer Pages (JSP)
5) Java Servlets
6) JavaScript Programming
7) Angular 8
8) Node.js
9) React
10) C and Embedded C Programming
11) C++ Programming
12) SQL Programming and MySQL
13) Introduction to DevOps
14) Git and GitHub
15) Linux and Shell Scripting
16) Software Performance Engineering and Multicore Programming
17) Performance Testing with LoadRunner
 

A software engineer is a professional who specializes in the design, development, testing, and maintenance of software applications and systems. They apply principles of computer science, mathematics, and engineering to create software that meets specific requirements and solves complex problems. Software engineers play a critical role in the software development lifecycle, from initial concept and design to coding, testing, deployment, and ongoing maintenance.
 
 
Software engineering is a multifaceted field that requires a diverse set of skills to be successful. Here are some essential skills for software engineers:
1. Programming Languages: Proficiency in one or more programming languages is fundamental. Common languages include Java, Python, JavaScript, C++, C#, and Ruby. Understanding the syntax, semantics, and best practices of these languages is crucial.
2. Data Structures and Algorithms: Knowledge of data structures (arrays, linked lists, stacks, queues, trees, graphs, etc.) and algorithms (sorting, searching, hashing, dynamic programming, etc.) is essential for writing efficient and scalable code.
3. Software Development Principles: Understanding software development principles such as object-oriented programming (OOP), modularization, design patterns, and clean code practices is important for writing maintainable and reusable code.
4. Version Control Systems: Proficiency in version control systems like Git is necessary for collaborative software development. Knowledge of branching strategies, merging, and resolving conflicts is essential.
5. Database Management: Understanding of database management systems (SQL or NoSQL) and the ability to write efficient database queries is important for building data-driven applications.
6. Web Development: Familiarity with web development technologies such as HTML, CSS, and JavaScript is valuable for building web applications. Knowledge of front-end frameworks like React, Angular, or Vue.js and back-end frameworks like Node.js or Django is also beneficial.
7. Testing and Debugging: Proficiency in testing techniques and tools (unit testing, integration testing, etc.) is crucial for ensuring the quality and reliability of software. Debugging skills are important for identifying and fixing issues in code.
8. Problem-Solving: Strong problem-solving skills are necessary for analyzing complex problems, breaking them down into manageable tasks, and developing effective solutions.

Course/Topic 1 - 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.

    • 21:04
  • 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.

    • 34:34
  • 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.

    • 30:53
  • 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.

    • 45:15
  • 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.

    • 31:11
  • 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.

    • 40:45
  • 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.

    • 33:57
  • 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.

    • 54:08
  • 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.

    • 35:15
  • 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.

    • 31:05
  • 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.

    • 44:28
  • 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.

    • 37:10
  • 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.

    • 30:46
  • 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.

    • 37:25
  • 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.

    • 38:54
  • 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.

    • 38:57
  • 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.

    • 29:04
  • 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.

    • 43:57
  • 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.

    • 23:30
  • 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.

    • 55:48
  • 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.

    • 44:43
  • 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.

    • 39:20
  • 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.

    • 24:00
  • 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.

    • 34:37
  • 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.

    • 39:57
  • 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.

    • 52:22
  • 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.

    • 34:32
  • 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.

    • 38:11
  • 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.

    • 26:48
  • 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.

    • 42:07
  • 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.

    • 28:54
  • 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.

    • 31:23
  • 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.

    • 31:39
  • 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.

    • 37:02
  • 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.

    • 34:35
  • 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.

    • 36:20
  • 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.

    • 38:05
  • 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).

    • 38:08
  • 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.

    • 42:46
  • 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.

    • 31:27
  • 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.

    • 38:34
  • 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.

    • 42:03
  • 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.

    • 46:36
  • 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.

    • 53:36
  • 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).

    • 28:07
  • 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.

    • 41:04
  • 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.

    • 46:10

Course/Topic 2 - R Programming - all lectures

  • In this lecture session we learn about basic introduction of R programming for beginners and also talk about basic functions of R programming for beginners.

    • 14:34
  • In this tutorial we learn about how we install r programming in our software and also talk about the best way of installing R programming for beginners.

    • 08:50
  • In this lecture session we learn about R's basic data structures including the vector, list, matrix, data frame, and factors. Some of these structures require that all members be of the same data type (e.g. vectors, matrices) while others permit multiple data types (e.g. lists, data frames). Objects may have attributes, such as name, dimension, and class.

    • 07:10
  • In this lecture session we learn about A vector is the basic data structure in R, or we can say vectors are the most basic R data objects.

    • 04:41
  • In this lecture session we learn about R is an ideal tool when it comes to data wrangling. It allows the usage of several preprocessed packages that makes data wrangling a lot more easier. This is one of the main reasons as to why R is preferred in the Data Science community.

    • 19:10
  • In this lecture session we learn about R packages are a collection of R functions, compiled code and sample data. They are stored under a directory called "library" in the R environment. By default, R installs a set of packages during installation. More packages are added later, when they are needed for some specific purpose.

    • 11:25
  • In this tutorial we learn about R is an open-source programming language that is widely used as a statistical software and data analysis tool.

    • 22:33
  • In this lecture session we learn that R can be used as a powerful calculator by entering equations directly at the prompt in the command console. Simply type your arithmetic expression and press ENTER. R will evaluate the expressions and respond with the result.

    • 18:48
  • In this tutorial we learn about Conditional statements are those statements where a hypothesis is followed by a conclusion. It is also known as an " If-then" statement.

    • 28:48
  • In this tutorial we learn about In coding, you ask your computer to check conditions by writing conditional statements. Conditional statements are the way computers can make decisions.

    • 16:15
  • In this lecture session we learn about It is a type of control statement that enables one to easily construct a loop that has to run statements or a set of statements multiple times. For loop is commonly used to iterate over items of a sequence.

    • 25:02
  • In this lecture session we learn about Repeat loop, unlike other loops, doesn't use a condition to exit the loop instead it looks for a break statement that executes if a condition within the loop body results to be true.

    • 15:32
  • In this lecture session we learn that Sum of n natural numbers can be defined as a form of arithmetic progression where the sum of n terms are arranged in a sequence with the first term being.

    • 07:17
  • In this lecture session we learn about The formula to find the sum of n terms in AP is Sn = n/2 (2a+(n−1)d), in which a = first term, n = number of terms, and d = common difference between consecutive terms.

    • 05:52
  • In this tutorial we learn about A switch statement that allows a variable to be tested for equality against a list of values. Each value is called a case, and the variable being switched on is checked for each case.

    • 33:57
  • In this lecture session we learn about Data preprocessing, a component of data preparation, describing any type of processing performed on raw data to prepare it for another data processing procedure.

    • 1:01:55
  • In this tutorial we learn about Data preprocessing is essential before its actual use. Data preprocessing is the concept of changing the raw data into a clean data set. The dataset is preprocessed in order to check missing values, noisy data, and other inconsistencies before executing it to the algorithm.

    • 37:44
  • In this lecture session we learn about Factor in R is a variable used to categorize and store the data, having a limited number of different values. It stores the data as a vector of integer values. Factor in R is also known as a categorical variable that stores both string and integer data values as levels.

    • 37:01
  • In this tutorial we learn about A data frame is a table or a two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column.

    • 37:47
  • In this tutorial we learn about In R we use merge() function to merge two dataframes in R. This function is present inside the join() function of the dplyr package.

    • 20:37
  • In this lecture session we learn about The R merge function allows merging two data frames by common columns or by row names. This function allows you to perform different database (SQL) joins, like left join, inner join, right join or full join, among others.

    • 25:10
  • In this tutorial we learn about The two data frames must have the same variables, but they do not have to be in the same order.

    • 23:49
  • In this lecture session we learn about merge is a generic function whose principal method is for data frames: the default method coerces its arguments to data frames and calls the "data. frame" method. By default the data frames are merged on the columns with names they both have, but separate specifications of the columns can be given by.

    • 10:08
  • In this lecture session we learn about The functions which are already created or defined in the programming framework are known as a built-in function. R has a rich set of functions that can be used to perform almost every task for the user.

    • 14:32
  • In this lecture session we learn about Melting and Casting are one of the interesting aspects in R programming to change the shape of the data and further, getting the desired shape.

    • 11:35

Course/Topic 3 - Java Programming - all lectures

  • In this video you will learn the introduction to Java programming. This tutorial explains the installation and usage of the Java programming language. It also contains examples for standard programming tasks.

    • 14:43
  • In this video you will learn based on the data type of a variable, the operating system allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different data types to variables, you can store integers, decimals, or characters in these variables.

    • 27:17
  • In this video you will learn about the control statement in java is a statement that determines whether the other statements will be executed or not. It controls the flow of a program. An 'if' statement in java determines the sequence of execution between a set of two statements.

    • 21:16
  • In this video you will learn Looping in programming languages is a feature which facilitates the execution of a set of instructions/functions repeatedly while some condition evaluates to true. while loop: A while loop is a control flow statement that allows code to be executed repeatedly based on a given Boolean condition.

    • 28:22
  • In this video you learn about Classes and Objects are basic concepts of Object Oriented Programming which revolve around the real life entities. A class is a user defined blueprint or prototype from which objects are created. It represents the set of properties or methods that are common to all objects of one type.

    • 14:24
  • In this you will learn In Java, static keyword is mainly used for memory management. It can be used with variables, methods, blocks and nested classes. It is a keyword which is used to share the same variable or method of a given class. Basically, static is used for a constant variable or a method that is same for every instance of a class.

    • 29:37
  • In this video you will learn about Array an array is a group of like-typed variables that are referred to by a common name. Arrays in Java work differently than they do in C/C++. Following are some important points about Java arrays.

    • 28:13
  • In this video you will learn the java.util.Arrays.binarySearch(Object[] a, Object key) method searches the specified array for the specified object using the binary search algorithm. The array be sorted into ascending order according to the natural ordering of its elements prior to making this call. If it is not sorted, the results are undefined.

    • 32:51
  • In this video, you will learn about the Java multidimensional array using 2-dimensional arrays and 3-dimensional arrays with the help of examples.

    • 22:37
  • In this video you will learn the java.util.Arrays.sort(Object[] a, int fromIndex, int toIndex) method sorts the specified range of the specified array of objects into ascending order, according to the natural ordering of its elements. The range to be sorted extends from index fromIndex, inclusive, to index toIndex, exclusive.

    • 14:35
  • In this video you will learn Inheritance in Java is a mechanism in which one object acquires all the properties and behaviors of a parent object. It is an important part of OOPs (Object Oriented programming system).

    • 26:27
  • In this video you will learn more about Inheritance.

    • 23:04