📋 Prerequisites for the FastAPI Course

💻 Must-Have Skills

1. Basic Knowledge of Python Programming
   • You’ve danced with Python 3 before, right? Make sure you’re comfortable with:
     • Variables, loops, and conditionals: The bread and butter of any Python script.
     • Functions, modules, and packages: Your toolkit for building reusable code.
     • Data structures: Lists, dictionaries, sets, and tuples—your data’s best friends.
     • Error handling: Mastering the art of try-except to keep your code running smoothly.
   • And of course, you know your way around pip for installing those nifty Python packages.
2. Understanding of Web Development Concepts
   • Get cozy with the web’s lingua franca:
     • HTTP: Know your GETs from your POSTs, and how the web talks back and forth.
     • REST APIs: The secret handshake of web services—understand the principles and how they connect with clients.
     • JSON: The universal data format—like the Esperanto of the web!
3. Basic Command Line Skills:
   • The command line is your command center:
     • Navigate directories and run scripts like a pro.
     • Manage virtual environments with venv or virtualenv—your sandbox for Python projects.
4. Familiarity with Version Control (Git):
   • Git is your time machine for code:
     • Clone, commit, and push your way through repositories.
     • Branching and pull requests? You’ve got this at a basic level.
5. Basic Knowledge of Databases:
   • SQL and relational databases are your data’s home:
     • Understand tables, relationships, and basic queries (SELECT, INSERT, UPDATE, DELETE).
   • Schemas and migrations? Nice to know, but not a dealbreaker.
6. Exposure to Docker and Containers (Optional but recommended):
   • Docker is your ship for deploying apps:
     • Grasp the basics of containerization and commands like docker build and docker run.
   • Deployment practices (Heroku, AWS)? Handy, but not essential.
7. Machine Learning (for specific modules):
   • If you’re eyeing the Machine Learning module, brush up on:
     • The ML workflow: training, testing, and deploying models.
     • Python ML libraries like scikit-learn, PyCaret, or MLflow.

🛠️ Tools and Software Requirements

1. Python 3.7+: Your trusty Python interpreter.
2. Text Editor/IDE: Whether it’s Visual Studio Code, PyCharm, or another favorite, make sure it’s ready to go.
3. Docker: For those deployment adventures.
4. Git: Installed and ready, with a GitHub account for version control.

➕ Additional Resources

To reinforce your understanding of the FastAPI course prerequisites, here are some valuable resources:

Python Programming

• Official Python Tutorial: https://docs.python.org/3/tutorial/
• Real Python: https://realpython.com/
• Learn Python: https://learnpythonthehardway.org/

Web Development Concepts

• MDN Web Docs: https://developer.mozilla.org/en-US/
• REST API Tutorial: https://m.youtube.com/watch?v=BRdcRFvuqsE
• JSON Tutorial: https://www.tutorialspoint.com/org_json/org_json_quick_guide.htm

Command Line Skills

• Linux Foundation’s Command Line Heroes: https://www.redhat.com/en/command-line-heroes
• The Linux Command Line: https://linuxcommand.org/tlcl.php

Version Control (Git)

• GitHub Guides: https://github.com/git-guides
• Git Tutorial: https://www.atlassian.com/git/tutorials

Databases

• W3Schools SQL Tutorial: https://www.w3schools.com/sql/
• SQLBolt: https://sqlbolt.com/

Docker

• Docker Documentation: https://docs.docker.com/
• Docker Tutorial: https://docs.docker.com/get-started/

Machine Learning

• Scikit-learn Tutorials: https://scikit-learn.org/
• Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course

Remember:

These prerequisites are your ticket to a smooth ride through the FastAPI course.

If you’re missing any of these skills, consider a quick refresher to get up to speed.