talkpython/100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course


repo name	talkpython/100daysofcode-with-python-course
repo link	https://github.com/talkpython/100daysofcode-with-python-course
homepage	https://training.talkpython.fm/courses/explore_100days_in_python/100-days-of-code-in-python
language	Jupyter Notebook
size (curr.)	8401 kB
stars (curr.)	1019
created	2017-12-14
license	MIT License

#100DaysOfCode with Python course

Course details page: talkpython.fm/100days

Course Summary

#100DaysOfCode in Python is your perfect companion to take the 100 days of code challenge and be successful. This course is 1-part video lesson, 2-parts guided projects. You will be amazed at how many Python technologies and libraries you learn on this journey. Join the course and get started.

What’s this course about and how is it different?

100 days of code is not just about the commitment. The true power and effectiveness is in having a guide and pursuing the “right-sized” projects. That’s why we have 33 deeply practical projects. Each paired with 20-40 minute lessons at the beginning of the project.

Just a small sampling of the projects you’ll work on include:

Understanding basic Python data structures
Searching large text corpuses with regular expressions
Consume HTTP services including the Twitter and GitHub APIs among others
Visual data with graphs using plotly
Convert your Python CLI (command line interface) app to a GUI application
Program against Excel in Python to automate your spreadsheet data
Build a text-based game and learn object-oriented programming
Automate multi-step web processes using selenium
Test your code with pytest and unit testing
Create a basic web app with Flask
Create a JSON-based online game service using Flask too
And 22 more projects!

View the full course outline.

Who is this course for?

This course is for anyone who wants to immerse themselves in Python for 100 days worth of learning and hands-on projects.

We don’t start from absolute zero in terms of programming but if you are new to Python we have a language appendix and we start somewhat slow. By the end of the course, we get into intermediate-level Python projects.

Course flow and the 33 projects

Course flow

We have broken the 100 days worth of coding into 33 3-day segments. As you can see, the first day is largely learning the new topics (HTTP APIs, web scraping, databases, etc.). The following two days have some guidance but is much more hands-on than the first day.