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Moscow Institute of Physics and Technology

Programming in Python

Moscow Institute of Physics and Technology , Mail.Ru Group and Meta via Coursera


In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.

You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development.

By the end of this course, you will be able to:
• Prepare your computer system for Python programming
• Show understanding of Python syntax and how to control the flow of code
• Demonstrate knowledge of how to handle errors and exceptions
• Explain object-oriented programming and the major concepts associated with it
• Explain the importance of testing in Python, and when to apply particular methods

This is a beginner course for learners who would like to prepare themselves for a career in back-end development or database engineering. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.


  • Getting started with Python
    • Get started with the Python programming language and associated foundational concepts.
  • Basic Programming with Python
    • Learn basic Python syntax, to use control flow and loops and work with functions and data structures. You will also learn how to recognise possible errors, their causes and how to handle them.
  • Programming paradigms
    • Learn about the paradigms of procedural programming and the associated logical concepts. You'll explore functional and object-oriented programming, and get an introduction to algorithms.
  • Modules, packages, libraries and tools
    • Supercharge your coding environment with popular modules libraries and tools for Python. You'll also learn about the different types of testing and how to write a test.
  • End-of-Course Graded Assessment
    • Practice and reflect on the skills you learned in this course.

Taught by

Емелин Александр Юрьевич, Жебрак Александр Михайлович and Швеенков Дмитрий Борисович


4.6 rating at Coursera based on 1203 ratings

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