Python programming course in Hindi with Certificate.


Python is a high-level programming language used for many different types of applications, including web development, data analysis, artificial intelligence, machine learning, scientific computing, and many more. An outline of a typical Python course can be found here:

Python introduction:

The course typically begins with an introduction to Python, its background, and its fundamental syntax. Python installation, programming execution, and interactive shell usage are all covered in this course.

Data types and variables:

Data types including integers, strings, lists, tuples, and dictionaries will be covered in this section. Also, you’ll discover how to construct and work with variables Control flow statements:

Control flow statements:

The if-else, loop, and conditional expression statements, as well as other control flow statements, are covered in this section.


You will learn how to define and call functions, pass parameters, and return values in this section.

File handling:

You will discover how to make folders, read and write files, and control file permissions in this part.

Object-oriented programming:

You will learn about object-oriented programming (OOP) ideas including classes, objects, inheritance, and polymorphism in this part.

Modules and packages:

You will learn how to utilise built-in modules in this part as well as how to make your own modules and packages.

Web development:

This section discusses building websites with Python frameworks like Flask and Django. You will gain knowledge about how to create web apps, manage requests, and use databases.

Data analysis and visualization:

Using Python packages like Pandas, NumPy, and Matplotlib, this part discusses data analysis and visualisation. You will gain knowledge in data manipulation, statistical analysis, and visualization.

Machine learning:

The use of Python libraries like Scikit-learn, TensorFlow, and Keras for machine learning is covered in this section. You will gain knowledge of model training, data preparation, and prediction techniques.

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