#100DaysOfCode in Python

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----- TalkPython Video Training -----
Duration: 17h 21m | Video: h264, 1280x720 | Audio: AAC, 48kHz, 2 Ch | 8.3 GB
$69 ~ Genre: eLearning | Language: English

#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 students are saying
I have taken 4 or 5 [courses]. I highly recommend the Talk Python trainings, Mr. Kennedy is a great trainer and all of them have been worth every penny.
-- Silweane

Source code and course GitHub repository
github.com/talkpython/100daysofcode-with-python-course

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:

Understating 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!

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.
Screenshots

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