Complete PYTHON Programming for Beginners – 2022

Complete PYTHON Programming for Beginners - 2022

Complete PYTHON Programming for Beginners – 2022

The easiest way to learn Python in-depth and build complex, scalable programs!

Language: english

Note: 4.4/5 (1,783 notes) 134,420 students

Instructor(s): Hemanth kumar

Last update: 2022-08-01

What you’ll learn

  • You will learn to create professional real-world programs in Python the ultimate OOP way!
  • Learn how to plan your Python programs before writing them!
  • Learn and apply proper design principles when programming in Python!
  • Learn to troubleshoot code issues using debuggers!
  • Get a deep understanding of how Python works under the hood!
  • Learn to write highly organized modular code!
  • You will build large real-world Python applications.



  • Access to a computer (Windows, Mac, or Linux)



On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.

The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.

Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.

We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.

Do I need previous experience with other programming languages to take this course?

No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.


Who this course is for

  • Absolute Beginners
  • Non-Absolute Beginners
  • Intermediates


Course content

  • Introduction of scripting
    • Scripting and types of Scripting languages
    • Difference between scripting and programming language
  • Explanation of Programming language paradigm
    • Programming language paradigm
  • Introduction of Python
    • History of Python
    • Python file extensions
  • Explanation of Python script
    • Python script mode
    • Installation of Python and Pycharm
  • About Python
    • Characteristics and features of python
    • Python comments
  • Anaconda Framework
    • Explanation of Anaconda framework
    • Anaconda python
    • Working with SPYDER IDE
    • Working with JUPYTER NOTEBOOK
  • IDE and Debugging
    • Pycharm IDE
    • Debugging python code
  • Explanation of Variables
    • Python Variables
    • Explanation of python code(or) statement
  • Python Datatypes
    • Python Numerical Datatypes
  • Python Literals
    • Python Binary,octa,Hexa decimal literals
  • Explanation of order of operations
    • Order of operations
  • Python MATH module
    • Python MATH module
    • Python MATH module part-2
  • Explanation of Number type conversions
    • Number type conversions in python
  • Python String Operations
    • Python String operations
    • Special characters in strings
    • String Indices in python
    • Updating Strings in python
    • String Formatting operator in Python
    • Python Identifiers
    • Structuring with Indentation in Python
    • String Library in Python
    • Max method in Python
    • Split method in Python
  • Datastructures in python
    • Data
    • Datastructure
    • Types of Datastructures
    • Datastructures in python
    • Lists in Python
    • Lists Implementation in python
    • Tuples in python
    • Set in python
    • Python Dictionaries
    • Working with Python Lists
    • Basic operations on Lists
    • Accessing elements from Lists
    • Pre-defined methods of Lists
    • Python Enumerate method
    • Working with Tuple
    • Pre-defined methods of Tuple
    • Built-in functions of Tuple
    • Working with set
    • Iterating sets using for loop
    • Working with python Dictionaries
  • Python Operators
    • Operators in Python
    • Arithmetic operators in python
    • Comparison operators in python
    • Assignment operators in Python
    • Logical operators in python
    • Special operators in python
    • Python Bitwise and operator
    • Python Bitwise or operator
    • Python Bitwise XOR Operator
    • Bitwise compliment operator
    • Binary Left shift and Right shift operators
  • Working with Range function
    • Range function in Python
    • Example of Range function
  • Functions in Python
    • Types of functions in Python
    • Defining and calling a function in python
  • Python module
    • Working with Python module
  • OOPS IN Python
    • OOPS in python
    • Class,object,method in python
    • Inheritance in python
    • Abstraction in OOPS Python
    • Example of Abstract class,method in python
  • Working with Multi-threading
    • Multi-threading in python
    • Example of Multi-threading
  • Working with Access specifiers
    • Working with Access Specifiers in Python
  • Python errors
    • Working with Python errors


Complete PYTHON Programming for Beginners - 2022Complete PYTHON Programming for Beginners - 2022

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