Master the fundamentals of Python programming and advance your skills to tackle more 
complex projects and data analysis tasks in this comprehensive course.

  • Gain a solid understanding of Python syntax, variables, data types, operators, and control flow statements.
  • Learn to work with lists, tuples, dictionaries, and sets to efficiently store and manage data.
  • Write functions to build reusable code blocks and structure your programs effectively.
  • Master object-oriented programming (OOP) concepts to create modular and maintainable Python applications.
  • Explore file I/O operations to handle text and binary files for data persistence.
  • Handle errors and exceptions gracefully to ensure program robustness.
  • Utilize Python's built-in modules and libraries for common tasks, including math, date and time, and string manipulation.
  • Apply Python for data analysis and visualization using libraries like NumPy, Pandas, and Matplotlib.


  • Ram Dutt Gupta 32 Days ago

    Basic Python

    I've always been interested in coding, and this Basic Python course was the perfect introduction. After this course, now I know how to write basic scripts and solve simple problems, which has been incredibly satisfying, personally. The instructor's teaching style made learning Python enjoyable and accessible, and I am impressed by the learning experience. Looking forward to learning new courses.

  • Khadak Singh 30 Days ago

    Basic Python

    I’m a commerce student trying to venture into the programming world. This Basic Python course was invaluable for quenching my curiosity. Now I feel more confident in my programming abilities.

  • Chanderpal 28 Days ago

    Basic Python

    Very thankful for this course. This course helped me build solid skills in python programming and data science. I would definitely recommend this course to people who want to study python.

  • Aman 27 Days ago

    Basic Python

    My goal for taking this course was to future-proof my career as things get more automated. And this course was really time well-spent for me. Now I have learned to think more programmatically using a more accessible language.

Frequently Asked Questions.

How do I start basic Python?

For a beginner in Python, one must follow the following steps:


  • Choose an easy-to-use platform
  • Visit beginner tutorials
  • Be keen on fundamental ideas
  • Keep practicing

What are the basics in Python?

Below are the breakdown of the basics of Python:

  • Variables and Data Types
  • Operators
  • Control Flow
  • Functions
  • Input and Output

What is Python used for?

Its flexibility in use has popularized python in multiple sectors. Data analysis and website design as well as scientific stimulation besides task automation are among the fields where python is used. Its simplicity in writing and wide range of reference libraries are features that attract programmers of all levels.

How to write Python code?

Follow the basic guide provided below to write Python code:

  • Choose between a text editor such as Notepad or a user-friendly IDE such as PyCharm which has advanced features. 
  • The most important thing about Python syntax is indenting by using spaces so you can separate different sections of your codes through space formatting. 
  • Begin with a simple program that says `print('Hello, World!')` then save it as a .py file name extension after which you can run it from either within your Integrated Developer Environment or terminal command line. 
  • Increase your understanding by considering other topics like what variables mean, different categories under which data falls and repeat these steps on a more complicated level.

How to run Python commands?

By executing python commands, it can be done using two ways which are software or command line. 

  • Command-line: Navigate with your cd option to where an ending with .py is and use python followed by file name then press Enter key which executes the code for example python hello_world.py. 


  • IDE (Integrated Development Environment): Many Integrated Development Environments such as PyCharm or Visual Studio Code come with predefined features enabling developers run their Scripts through run button on interface itself while documentation contains more information about how this works.

Is Python or C++ better?

Both the programming tools are powerful. The choice between Python and C++ largely depend on your current project and familiarity with the languages.




  • Pros: Easier for beginners, simple syntax, with rich libraries for data science, web development, automation. It is suitable both for starters and fast prototyping. 
  • Cons: Because of being an interpreted language, it can run slower than c++ in time critical applications. 




  • Pros: It has a more ascendible ability to overrule memory addresses and machines themselves that's why it works faster and more efficiently as compared to Python language. 
  • Cons: It has a longer learning curve due to complex syntax and manual memory management.

Is Python good for AI?

Python is often considered to be one of the best programming languages in the context of Artificial Intelligence. The reasons are listed below:


  • Simplicity and Readability
  • Extensive Libraries
  • Versatility
  • Large Community and Resources
  • Open-Source and Free


The richness of Python is combined with a very large number of libraries and individuals who participate in it, make it great for someone new in AI or is working on an AI project of any size.

Is Python written in C?

CPython is Python's default implementation. This implies that any code written by Python will be finally converted into C-code through the medium of the Python interpreter that itself has been written using the C language.

Is Java or Python better?

Both Java and Python are useful programming languages, but they excel in different areas. 



    • Strengths:

      • Enterprise applications
  • Object-oriented
  • Platform independent
  • Large community and resources



  • Steeper learning curve
  • Can be verbose


  • Strengths:

  • Beginner-friendly
    • Rapid development
    • Versatility
    • Large community and resources


  • Performance
  • Not ideal for large-scale enterprise applications


How to learn Python step by step?

Follow the below steps to learn Python step-by step:

  1. Set Up Your Learning Environment:
  • Install Python
  • Choose a code editor or IDE
  • PyCharm
  • Visual Studio Code
  • Beginner-oriented IDE
  1. Grasp the Basics:
  • Start with online tutorials or courses
  • Websites
  • Courses
  • Focus on core concepts
  1. Practice and Experiment:
  • Work on small coding exercises
  • Don't be afraid to experiment
  1. Deepen Your Knowledge
  • Utilize online resources and books
  • Explore functionalities beyond the basics
  1. Build Projects
  • Find beginner-friendly project ideas
  • Gradually increase complexity
  1. Engage with the Python Community
  • Join online forums and communities
  • Attend meetups or workshops (if required)