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complete Python tutorial| Jupyter Lab| Spyder| 0 to 100 | ML
Rating: 4.6 out of 5(18 ratings)
135 students

complete Python tutorial| Jupyter Lab| Spyder| 0 to 100 | ML

Python Programming Language
Created byGhazal Lalooha
Last updated 2/2025
English

What you'll learn

  • Python programming language's basic concepts
  • data structures in Python and their applications
  • functions and modules in Python (including module creation)
  • advanced concepts of functions in Python
  • classes and objective programming in Python
  • advanced concepts of objective programming in Python

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

6 sections • 38 lectures • 23h 20m total length

  • Python introduction and installation35:56
  • Familiarity with Python37:23
  • familiarity with Python
  • Ch03-Familiarity with Python28:47
  • Ch04-familiarity with Python21:24

    Explore practical concepts in Python programming, including data structures, for loops, indentation, range function usage, importing modules, and using time and random modules to control execution delays and randomness.

  • elementary hints about Python modules and functions
  • Data structures
  • Order of operations in Python

Requirements

  • no prerequisites is needed. You will learn everything you need.

Description

Are you ready to embark on a comprehensive journey to mastering Python programming? My course is designed to take you from absolute beginner to accomplished Python developer. Whether you have no prior programming experience or are looking to consolidate and advance your existing Python skills, this course covers everything you need.

This course provides a step-by-step guide through the fundamentals of Python, including data types, control structures, functions, and object-oriented programming. You'll also delve into more advanced topics such as modules, file handling, and error handling.

I ensure that the learning process is hands-on and engaging, with plenty of exercises and projects to apply what you've learned.

One of the highlights of this course is the use of Jupyter Lab and Spyder, two of the most powerful tools in the Python ecosystem. Jupyter Lab offers an interactive environment that's perfect for data science and scientific computing, while Spyder provides a robust integrated development environment (IDE) tailored for Python development. You'll learn to leverage these tools to write, test, and debug your Python code efficiently.

By the end of this course, you'll have built a solid foundation in Python and will be capable of tackling real-world projects with confidence.

Join us and transform your programming skills from 0 to 100 with expert guidance and a structured learning path!

Who this course is for:

  • Those interested in learning the python programming language and working in the field of data science.

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