Note: Moving to a new repository: learning-roadmaps

Learn Python, a roadmap

A roadmap for learning the python language, eventually focusing on Data Science.

Disclaimer

Estimating an initial 10 hours of study per week.

Week 0

If you know programming already, skip week 0.

You can clone or fork this repository to use it as a checklist; tracking progress as you go.

If you are starting on week 0, skip any tasks that are repeated in later weeks—or—use them as an oppurtunity for review.

1. [ ] Complete the CodeAcademy.com Python Course (only the free content)
2. [ ] Work through the contents of Learn Python the Hard Way

Week 1

1. [ ] Read Lean Python, Chapters 1-2
2. [ ] Install Python 3 / configure local development environment
3. [ ] Read Lean Python, Chapters 3-6
4. [ ] Sign up for CodeWars.com
5. [ ] Attempt to solve one-to-three python challanges which are either 7kyu or 8kyu
6. [ ] Read Lean Python, Chapters 6-8
7. [ ] Read Comparison of Python v2 vs v3 from python.org

Week 2

1. [ ] Complete the CodeAcademy.com Python Course (only the free content)
2. [ ] Read Lean Python, Chapters 8-11
3. [ ] Read Seemingly Inverse Logic. Article gives insight and reasoning behind some of python's peculiarities.
4. [ ] Install a library using pip.
5. [ ] Choose and complete a project from the projects list.

Week 3

Project Week

1. [ ] Review the table of contents of Learn Python the Hard Way. Look for language facets that you do not recognize, and read their entries. Cross-reference with python documentation, if needed.
2. [ ] Solve three to five python challenges which are '7kyu'
3. [ ] Choose and complete a project from the projects list.

Week 4

Challenges Week.

1. [ ] Solve as many python challenges which as possible to achieve '7kyu'/'6kyu'/'5kyu' rank on codewars.
2. [ ] Choose and complete a project from the projects list.

Projects

• [ ] Create a module that checks if a haiku is following proper format (5-7-5 syllable pattern)
• [ ] Create a slackbot (HTTP server) for rolling dice via /roll.
• [ ] Create a module that calculates statistical methods. (Mean, Median, Mode, standard deviation, and variance.
• [ ] Create a module that outputs the Fibonnacci Sequence up to n terms. n should default to 100.
• [ ] Create a module with two functions, one which parses and compiles markdown into html, and the other jade into html.

Want to add a project? Open a PR!

More Resources

• Learn Python in X Minutes
• :star: /r/learnpython wiki
• Project Mega List