These resources are available at http://github.com/dlab-berkeley/python-fundamentals
Materials for teaching and learning at the Python FUNdamentals workshop at UC Berkeley's D-lab.
Read only access to course slides.
Setup for your programming environment is described in the VM-SETUP.md file
(should be available wherever you found this file!).
There are two approaches to going through this material. One is by going through
the numbered directories in order in the challenges directory. There, you can
use pytest (or your preferred test runner) to build up the requested code and
programs. Confusingly, the pytest command-line program is called py.test (for
historical reasons). From the root python-fundamentals directory (where you'll
also find this README.md file!), execute:
cd challenges/01-Intro
python A_<tab>
Note that <tab> above means "press the tab key" - that way you don't need to type everything out. Now, you've executed your first python script! (or maybe your 100th...) To continue, go through each python (.py) file alphabetically. For each file, there's an associated test_A_...py file. You run this like so:
py.test test_A<tab>
OR...
These materials may accompany the following lessons in the Python track at Codecademy
- What is Python, Python Syntax
- Strings and Console
- Conditionals and Control Flow
- Functions
- Lists and Dictionaries
- Lists and Functions
- Loops
- Classes/Objects
- File Input and Output
Our "official" course textbook is Think Python.
More help:
A more complete list of Python references: http://python.berkeley.edu
- cheat-sheets: IPython notebooks illustrating basic concepts
- challenges: python scripts (starting with capital letters) to progress through
as you learn, and test scripts (starting with
test_<capital letter>) to scaffold the approach.
HAPPY CODING!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent