talkpython/100daysofcode-with-python-course

Name: 100daysofcode-with-python-course

Owner: Talk Python

Description: Course materials and handouts for #100DaysOfCode in Python course

Created: 2017-12-14 17:34:38.0

Updated: 2018-05-24 04:54:15.0

Pushed: 2018-05-24 04:54:14.0

Homepage: https://training.talkpython.fm/courses/explore_100days_in_python/100-days-of-code-in-python

Size: 4493

Language: Jupyter Notebook

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README

#100DaysOfCode with Python course

Visit the course page

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:

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.

Get the full course details

Visit the full course page for all the details: talkpython.fm/100days


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.