Note: Moving to a new repository: learning-roadmaps
A roadmap for learning the python language, eventually focusing on Data Science.
Estimating an initial 10 hours of study per week.
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.
- Complete the CodeAcademy.com Python Course (only the free content)
- Work through the contents of Learn Python the Hard Way
- Read Lean Python, Chapters 1-2
- Install Python 3 / configure local develpment environment
- Read Lean Python, Chapters 3-6
- Sign up for CodeWars.com
- Attempt to solve one-to-three python challanges which are either
7kyuor8kyu - Read Lean Python, Chapters 6-8
- Read Comparison of Python v2 vs v3 from python.org
- Complete the CodeAcademy.com Python Course (only the free content)
- Read Lean Python, Chapters 8-11
- Read Seemingly Inverse Logic. Article gives insight and reasoning behind some of python's peculiarities.
- Install a library using pip.
- Choose and complete a project from the projects list.
Project Week
- 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.
- Solve three to five python challenges which are '
7kyu' - Choose and complete a project from the projects list.
To be added.
- 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
nterms.nshould default to 100. - Create a module with two functions, one which parses and compiles markdown into html, and the other jade into html.