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''' Important announcement: ''' | ''' Important announcement: ''' | ||
The new curriculum for the Noisebridge PyClass is a crash course in the Python standard library, also touching on modules that are popular but not quite part of the standard modules | The new curriculum for the Noisebridge PyClass is a crash course in the Python standard library, also touching on modules that are popular but not quite part of the standard modules. | ||
The pace of the courses will be | The pace of the courses will be fast, and the materials will be available online 24/7 and we plan to frequently repeat modules that are in high demand with new twists as we iterate over the course materials. | ||
To best experience the course, spend a short time studying the course materials before you come in. If you wish to know the upcoming courses, please send an email out to PyClass@googlegroups.com | |||
The ideal student for this course can understand the following code (it's fine to use Google to loop up the built in functions, and we use tons of web resources throughout the course materials): | The ideal student for this course can understand the following code (it's fine to use Google to loop up the built in functions, and we use tons of web resources throughout the course materials): |
Revision as of 01:41, 16 August 2014
Noisebridge's Learning Python Classes
Important announcement:
The new curriculum for the Noisebridge PyClass is a crash course in the Python standard library, also touching on modules that are popular but not quite part of the standard modules.
The pace of the courses will be fast, and the materials will be available online 24/7 and we plan to frequently repeat modules that are in high demand with new twists as we iterate over the course materials.
To best experience the course, spend a short time studying the course materials before you come in. If you wish to know the upcoming courses, please send an email out to PyClass@googlegroups.com
The ideal student for this course can understand the following code (it's fine to use Google to loop up the built in functions, and we use tons of web resources throughout the course materials):
<source lang="python">
word_frequency_dict = {} word = "noisebridge"
for letter in word:
times = word_frequency_dict.get(letter, 0) times += 1 word_frequency_dict.update( {letter : times} )
</source>
Please drop by at the normal times:
- Tuesday 7:00 - 9:00 PM PST - 'Turing' Classroom
- Wednesday 7:00 - 9:00 PM PST - 'Church' Classroom
The new standard curriculum is now available:
The order of the following courses has not yet been determined. Please email PyClass@googlegroups.com if you want to know which courses are coming up!
Without further ado:
- JSON format, Python Types, and the JSON Module
- Control Flow, itertools, and Functional Programming
- Built-in Functions
- Built-in Types and String Services
- Numeric and Mathematical Modules, and Operators
- argparse, ConfigParser, and more - configuring your applications
- pip, virtualenv, packaging, versions, and inspect.
- Logging your applications: logging, logging.config, logging.handlers
- Exceptions and Debugging: Exception behavior, custom exceptions, pdb, cProfile, timeit, time, trace.
- os, sys, and io (Caution, here be Python 3, inside the io module)
- (potential for a unittest course)
The following material is old material from Kellan and Liz's long-running PyClass:
Come learn Python!!
See our awesome website for both PyClasses at Noisebridge Learning Python
After 9pm Tuesdays, we'll have open hacking time and time for questions for those that are kicking so much ass they just can't go home yet, or even for those that may have gone to Mondays' Front-end Web Development class and want to come back for more. If you have problems from work or home, feel free to bring them after 9 and everyone can help each other.
Mailing List
Sign up for this now!
Once you join the mailing list, send a request to join the PyClass organization to https://github.com/egonSchiele
Semi-Official Intro to Python Class Texts
- Think Python: How to Think Like a Computer Scientist
- Learn Python The Hard Way - A good introductory text with lots of exercises written by prolific programmer Zed Shaw
- PEP 8 -- The highly recommended Style Guide for Python Code
Other Intro to Python Texts
- A Byte of Python
- Learn Python - Free Interactive Python Tutorial
- How to Think Like a Computer Scientist: Learning with Python 2nd Edition
- The Python Tutorial - written by Guido van Rossum, creator of the Python programming language
- Python 2.x.x Documentation download - Contains Python Tutorial & other docs in various readable formats
PyClass Githubs
- PyClass Organization
- Invent with Python Textbook Code <404 Error>
- https://github.com/noisebridge/Intro-Python / Kellan Jacobs Notes
- https://github.com/noisebridge/web2py-noiselist
- https://github.com/noisebridge/flask-noiselist / E Leddy
- https://github.com/tachang/django_noiselist
d=== [Old] Class Slides ===
Other Helpful PyClass links
- Main Python.org site
- Python in a Nutshell - an older but handy reference
- Pygame
- Invent Your Own Computer Games with Python - written by Noisebridger Al Sweigart, free to download here or here