By George Freedom
Master Python fundamentals with this hands-on course (Lessons 0-9). Designed for aspiring developers and tech explorers, these materials will help you build future-ready skills in Python, AI, and beyond!
This repository hosts "Python Foundations: From Core Concepts to Strategic Application" – a comprehensive introductory course presented in a series of Jupyter Notebooks. These materials have been crafted to guide you on your journey into the world of programming.
This course is designed for beginners, career-changers, and anyone looking to build a solid understanding of Python from the ground up. We'll navigate from the absolute basics through core programming principles, empowering you to start your coding adventure with confidence.
- Lesson 0: Setup & Introduction – Preparing your gear and understanding the map.
- Lesson 1: Variables & Core Functions – Your basic toolkit and first discoveries.
- Lesson 2: Strings, Functions & Methods – Charting and manipulating textual data-paths.
- Lesson 3: Conditions & Flow Control – Making decisions at the crossroads of your code.
- Lesson 4: Collections & Their Methods (Lists, Dictionaries, Sets, Tuples, Frozensets) – Organizing your data, supplies, and discoveries.
- Lesson 5: Cycles, Loops & Iterations – Automating repetitive tasks and scouting an area thoroughly.
- Lesson 6: Functions Deep Dive – Crafting reusable tools and standard exploration procedures.
- Lesson 7: Modules & Packages – Expanding your toolkit with external guides and specialized gear.
- Lesson 8: Error Handling – Navigating unexpected obstacles and building robust routes.
- Lesson 9: Strategic Learning & Next Steps – Consolidating your knowledge, best practices for the journey ahead, and charting pathways for continued development.
Upon completing this expedition, you will be able to:
- Understand and apply fundamental Python programming concepts.
- Write clean, readable, and functional Python code for basic tasks.
- Utilize core data structures like lists and dictionaries effectively.
- Design and use your own functions to create reusable code.
- Develop a strategic mindset for problem-solving and continuous learning in tech.
- No prior programming experience is required! This course is designed for absolute beginners.
- A willingness to explore, experiment, and learn.
- A computer with internet access.
The lessons are provided as Jupyter Notebook (.ipynb) files. To use them:
- Online: Download the Jupyter files and go on: https://jupyter.org/try .. and upload&open the files there
-- OR--
- Clone or Download: Get a copy of this repository onto your local machine.
git clone https://github.com/GeorgeFreedomTech/python-foundations-course.git
- Ensure Jupyter is Installed: You'll need Jupyter Notebook or JupyterLab.
- The common way is to install the Anaconda Distribution (which includes Jupyter).
- Alternatively, install it via pip:
pip install notebook # or for JupyterLab pip install jupyterlab
- Launch Jupyter: Open your terminal or command prompt, navigate to the directory where you cloned/downloaded the files, and run:
or for JupyterLab:
jupyter notebook
jupyter lab
- Explore: Your browser should open the Jupyter interface. Navigate to the lesson files and open them to start your learning expedition! Each lesson notebook contains explanations, code examples, and exercises. A corresponding "Solutions" notebook is provided for the exercises.
These materials serve multiple purposes:
- Educational Resource: A practical, hands-on guide for self-study or as a supplementary resource.
- Professional Portfolio: Demonstrating my teaching methodology and expertise.
- Content Foundation: A source of examples, concepts, and inspiration for articles, tutorials, and social media content.
- Lead Magnet: An insight into the quality and style of my mentoring services.
- Visit my website: https://GeorgeFreedom.com
- Connect on LinkedIn: https://www.linkedin.com/in/georgefreedom/
- Let's talk: https://cal.com/georgefreedom
Copyright (c) 2025 Jiří Svoboda (George Freedom) / George Freedom Tech
This work (educational materials, including text, explanations, exercises, and accompanying code examples within the Jupyter Notebooks) is licensed under:
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Learn to speak the language of Python !