Python Topics List for Beginners Basic to Advanced

Python is a very popular general purpose, dynamic, high-level, and interpreted programming language. It is a very powerful and widely used interpreted programming language that was created by Guido Van Rossum around 1991 at the national research institute for mathematics and computer science in Netherlands. It also supports object-oriented programming system to develop applications.

Python is an open-source software with a huge community of users and contributors. Therefore, it is freely available to anyone with proper documentation over the internet. The first version of Python was released on February 20, 1991. Another Python 1.0 version was released in Jan 1994. Python software foundation organizes and governs the open-source project. The source code of Python is available under General Public License (GPL).

Why Python?

Python is widely used for developing websites, software applications, automation task, data analysis, and data visualization. Since Python is a very easy to use language with simple syntax, it is a perfect programming language to learn for beginners, school and college students as well as for many non-programmers such as accountants and scientists. Python is a great choice for multiple purposes. These includes:

  • Web and internet development
  • Scientific and numeric computing
  • Education
  • Software development
  • GUI development
  • Database programming
  • Games
  • Robotics programming
  • Business applications
  • Rapid prototyping, and many more.

Reasons for Popularity

There are several reasons by which Python has gained the popularity over the recent years. These include:

  • Open source software
  • Easy to read, learn, and write
  • Interpreted language
  • Interactive
  • Productive language
  • Dynamically typed language
  • Easy to maintain
  • Object-oriented programming language
  • Extensive support libraries
  • Presence of third-party modules
  • Portable
  • Scalable
  • User-friendly data structure
  • GUI programming

Which Companies Use Today?

Several multinational companies or organizations use Python for different purposes. These include:

  • Google: In web search system
  • Youtube: Video sharing services
  • Bit-torrent: Peer to peer file sharing system
  • Intel, HP, IBM, Qualcomm, Seagate: Hardware testing
  • JP Morgan, UBS: Financial market forecasting
  • Fermilab, NASA: Scientific programming
  • IronPort: Email servers
  • NSA: Cryptographic and intelligence analysis

These are the list of multinational companies that use Python for different purposes.

List of Python Topics

If you are a beginner, school or engineering college student, and want to learn Python programming, you are in the right place. Here, we have listed all the Python topics for beginners that you need to follow, one by one, to learn Python programming. In all Python topics, we have explained each concept from basic to advanced levels with the help of various practical example programs.

We have also covered advanced example programs for those who want to enhance their skills in Python programming. Lastly, you will find Python interview coding questions that will help you crack the interview and get the job. So, let’s start your journey with Python.

Module 1: Python Introduction
Python Tutorial
Features of Python
Advantages of Python
Applications of Python
Install Python on Windows
Download and Install Python on Mac OS
First Python Program
Install PyCharm
Indentation in Python
Comments in Python
Python Docstring
Python vs C
Python vs C++
Python vs Java
Module 2: Basic Python
Python Tokens
Reserved Keywords in Python
Identifiers in Python
Literals in Python
Delimiters in Python
Python Escape Sequence
Python Variables
Built-in Data Types
Global and Local Variables
Memory Management in Python
Module 3: Python Operators
Operators in Python
Assignment Operators
Comparison Operators
Logical Operators
Bitwise Operators
Identity Operators
Membership Operators
Ternary Operators
Python Expression
Operator Precedence
Module 4: Python Condtional Statements
Conditional Statements
If Statement
If-else Statement
If-elif-else Statement
Nested If-else Statement
Loops in Python
While Loop
For Loop
Nested Loops
Infinite Loop
Break Statement
Continue Statement
Pass Statement
Switch Statement
Module 5: Python Functions
Functions
User defined Functions
Calling a Function
Function Arguments
Pass by Value and Pass by Reference
Return Statement
Void Function
Python Scope
Global Keyword
Lambda Function
Recursion in Python
Fibonacci Series
Module 6: Python Built-in Functions
Built-in Functions
ads() Function
Module 7: Python String
Mutable and Immutable Concepts
Strings in Python
String Length
String Concatenation
String Comparison
String Slicing
Iterate over String
String Formatting
Substring
String Methods and Functions
Module 8: Python Lists
List in Python
How to Access List Elements
How to Find Length of List
Array vs List
Ways to Concatenate Lists
How to Add Elements in List
Ways to Remove Elements from List
Sorting List
How to Slice List
Nested List in Python
Module 9: Python Tuple
Tuple in Python
How to Access Tuple Elements
Tuple Methods
Tuple Operations
Difference between List and Tuple
Module 10: Python Set
Set in Python
Set Methods
Set Operations
Frozenset
Module 11: Python Dictionary
Dictionary in Python
Dictionary Methods
Nested Dictionary
Module 12: Python Comprehensions
What is Comprehension in Python
List Comprehension
Set Comprehension
Dictionary Comprehension
Module 13: Python Modules and Packages
Modules in Python
Namespaces
Packages
Math Module
Module 14: Python OPPs Concepts
OPPs Concepts in Python
Class
Object
Constructor
Self Keyword
Static Variable
Instance Method
Class Method
Static Method
Inheritance
Types of Inheritance
Encapsulation
Access Modifiers
Getter and Setter Methods
Data Hiding
Method Overloading
Operator Overloading
Method Overriding
Polymorphism
Abstraction
Interface
Module 15: Python Errors and Exceptions
Exception Handling in Python
Types of Exception
Try Except Block
Handling Multiple Exceptions
Finally Block
User-defined Exception
How to Raise Exception in Python
Assertions in Python
Debugging in Python
Module 16: Python File Handling
File Handling in Python
How to Write File in Python
How to Read Text File in Python
File Operations with Example
Module 17: Python Multithreading
Multithreading in Python
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