Free Course Image Python for complete beginners

Free online coursePython for complete beginners

Duration of the online course: 65 hours and 36 minutes

4.71

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Build real Python skills fast with a free online course: setup, data types, loops, functions, modules, pip and virtualenv—practice with quizzes and learn confidently.

In this free course, learn about

  • Install Python and verify version via terminal (e.g., python --version / python3 --version)
  • Work with strings: quoting/escaping, concatenation, formatting, and common quote-related errors
  • Use numeric types (int/float) and operators incl. modulo (e.g., 3 % 2 == 1)
  • Master core collections: lists, tuples, sets (unordered, unique items) and their typical operations
  • Use dictionaries for key-value data and common methods (get, keys, items, update, pop, etc.)
  • Write conditionals with booleans; combine tests with and/or/not and handle branching with if/elif/else
  • Control flow with for/while loops; understand break vs continue behavior
  • Define and use functions for reuse, abstraction, and maintainability; pass args and return values
  • Import modules and explore the standard library; understand implications of using import *
  • Set up Python dev environments in editors/IDEs: Sublime, Atom, Eclipse; use plugins like PyDev
  • Manage packages with pip, including freezing dependencies to requirements.txt for sharing/reproducibility
  • Use virtual environments (virtualenv) and tools/strategies for managing multiple projects and env vars
  • Use Anaconda/conda for data science workflows and environment/package management
  • Use Jupyter notebooks for interactive, reproducible analysis and experimentation; apply slicing & comprehensions

Course Description

If you have ever wanted to learn Python but felt intimidated by code, this beginner-friendly course is designed to help you start from zero and gain real confidence. You will begin by setting up Python on Mac or Windows and learning how to verify your installation, so you can avoid the common frustration of misconfigured environments and get straight to coding.

From there, you will build a solid foundation in the core pieces of the language. You will work with text and numbers, understand how Python represents data, and learn how to avoid typical errors beginners face when handling strings. You will practice organizing information using Python’s most important built-in structures, moving from simple collections to key-value data that helps you model real-world problems in a clean, readable way.

As you progress, you will start thinking like a programmer. You will use conditionals to make decisions, apply boolean logic to control behavior, and write loops to handle repetitive tasks efficiently. You will also learn to write functions so your code becomes reusable, easier to test, and easier to maintain as your projects grow.

A key part of learning Python today is learning how to work with the ecosystem around it. This course guides you through importing modules and exploring the standard library, then takes you into practical tooling: editors and IDE options, package management with pip, and the importance of isolated dependencies using virtual environments. You will also see how Anaconda and conda can simplify workflows, especially for data-focused projects.

Finally, you will explore productive techniques such as Jupyter notebooks for experimentation, variable scope rules that explain why some values behave unexpectedly, slicing for efficient data handling, and comprehensions for writing cleaner, more expressive code. Throughout the lessons, quick checks and exercises reinforce what you learn, helping you turn explanations into working skills you can use immediately in your own projects.

Course content

  • Video class: Python Tutorial for Beginners 1: Install and Setup for Mac and Windows

    15m

  • Exercise: What command can you use in the terminal to check the version of Python installed on your system?

  • Video class: Python Tutorial for Beginners 2: Strings - Working with Textual Data

    21m

  • Exercise: What can cause an error when handling strings with single quotes in Python?

  • Video class: Python Tutorial for Beginners 3: Integers and Floats - Working with Numeric Data

    11m

  • Exercise: What is the result of 3 modulo 2 in Python?

  • Video class: Python Tutorial for Beginners 4: Lists, Tuples, and Sets

    29m

  • Exercise: Which Python data type allows for unordered collections with no duplicates?

  • Video class: Python Tutorial for Beginners 5: Dictionaries - Working with Key-Value Pairs

    09m

  • Exercise: Which of the following actions can be performed using dictionary methods in Python?

  • Video class: Python Tutorial for Beginners 6: Conditionals and Booleans - If, Else, and Elif Statements

    16m

  • Exercise: What is the purpose of the 'and' keyword in Python conditionals?

  • Video class: Python Tutorial for Beginners 7: Loops and Iterations - For/While Loops

    10m

  • Exercise: What is the difference between 'break' and 'continue' in loops?

  • Video class: Python Tutorial for Beginners 8: Functions

    21m

  • Exercise: What is a key benefit of using functions in programming as mentioned in the video?

  • Video class: Python Tutorial for Beginners 9: Import Modules and Exploring The Standard Library

    21m

  • Exercise: What does the 'import *' syntax do when importing modules in Python?

  • Video class: Setting up a Python Development Environment in Sublime Text

    26m

  • Exercise: What is one of the primary purposes of the 'Package Control' in Sublime Text?

  • Video class: Setting up a Python Development Environment in Atom

    23m

  • Exercise: What is one advantage of using Atom over Sublime Text for setting up a Python development environment?

  • Video class: Setting up a Python Development Environment in Eclipse

    16m

  • Exercise: What is the purpose of the PyDev plugin in Eclipse IDE for Python development?

  • Video class: Python Tutorial: pip - An in-depth look at the package management system

    09m

  • Exercise: Which command would you use to generate a requirements file listing all installed packages with their version numbers in a format suitable for sharing?

  • Video class: Python Tutorial: virtualenv and why you should use virtual environments

    09m

  • Exercise: What is the primary use of virtual environments in Python?

  • Video class: Python Tutorial: Anaconda - Installation and Using Conda

    11m

  • Exercise: What is a primary benefit of using Anaconda for data science?

  • Video class: Python Tutorial: How I Manage Multiple Projects, Virtual Environments, and Environment Variables

    20m

  • Exercise: What tool is primarily used to create and manage Python virtual environments in the video?

  • Video class: Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough

    30m

  • Exercise: What is one of the key benefits of using Jupyter notebooks?

  • Video class: Python Tutorial: Variable Scope - Understanding the LEGB rule and global/nonlocal statements

    20m

  • Exercise: How can you modify a global variable within a Python function?

  • Video class: Python Tutorial: Slicing Lists and Strings

    10m

  • Exercise: How do you perform reverse slicing on a list in Python?

  • Video class: Python Tutorial: Comprehensions - How they work and why you should be using them

    18m

  • Exercise: What is a main advantage of using list comprehensions in Python?

This free course includes:

65 hours and 36 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

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Course comments: Python for complete beginners

DS

Digar singh Rautela

StarStarStarStarStar

amazing teaching style

KJ

Kalyani Jadhav

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this course is very good for beginners it provides all information about our course and understanding levels is very nice

DS

David Skea

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teaching is very easy to understand the way he does it

NA

Nazim Afridi

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How can I download it please replay

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