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=== PSAs and Events  ===
=== Welcome to the Noisebridge PyClass! ===
(''PSAs are '''P'''ublic '''S'''ervice '''A'''nnouncements'')


'''PSA 4-6-15:''' As of today, attend PyClass on MONDAYS and THURSDAYS.<br />
PyClass is an introductory Python course run by the Noisebridge community. It helps students solve common programming problems while learning about the language.  Classes are held Mondays 7:00 - 9:00 PM in the 'Church' Classroom, and are mostly organized through [https://meetup.com/noisebridge Meetup].  If you have not been to Noisebridge before, please try to arrive 15 minutes early so that you can be introduced to the space.
Mondays in the Turing classroom will replace the previous Tuesday sessions.


'''PSA 1-26-15:''' Thursdays in the Church Classroom will replace the Wednesday sessions.
=== Course Material ===
The course contains six lessons and assorted guest lectures.  Each of the core classes covers a programming tool, from JSON in the first class to deploying a flask webapp in the last.  Each class also demonstrates a feature that makes Python special, and when taken together they are a good baseline for effective programming in the language. The current list of classes is:


'''PSA 10-1-14:''' PyClasses start at 7:00 PM, but please try to come a few minutes earlier. We want to finish up by 9:00 PM so people can hack or catch their preferred train home. You can come at any time, but YMMV (your mileage may vary).
* Storing and transmitting information with JSON
* [https://github.com/jgarst/PythonClass/tree/master/course/strings Working with text data]
* Relational databases and SQL
* Performance and Big O notation
* Objects and Classes
* Web applications with Flask


'''PSA 8-19-14:''' [https://noisebridge.net/wiki/PyClass This Noisebridge PyClass wiki] and [https://github.com/PyClass/PyClass-lesson-plans the GitHub PyClass] README.md files have the same information and updates.
The material for these is available on [https://github.com/jgarst/PythonClass/tree/master/course github]. The classes tend to move fast, but can be repeated and have references to related material in the notes.


'''PSA 8-16-14:''' 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. Scroll down to see the course list.
The first three classes (JSON, text data, SQL) are suitable for anyone, but will be more difficult if you are not comfortable using python as a calculator.


=== Scheduled Weekly Meeting Times ===
    # importing libraries
    import time
   
    # printing and calling functions
    print(time.ctime())
   
    # variables and math
    calculation = (1 * 2 * 3) / 2 
   
    # strings
    print('I've done some math!', calculation)


We set up the space at 6:45 PM - try to arrive early to help if you are able to.
* If you are comfortable this program, you will be comfortable with the class. <br \>
* If can understand understand what the program is doing, the class is a good fit for you, but might seem fast.
* If you do not have Python installed on your machine, you are invited to the class, but encouraged to arrange a time with the organizer to get started first.


* Monday 7:00 - 9:00 PM PST - 'Turing' Classroom
The last three classes assume familiarity with loops, functions and collections.  If you are comfortable with the following program you will be comfortable with the class.
* Thursday 7:00 - 9:00 PM PST - 'Church' Classroom


=== Mailing List ===
    frequency_dict = {}
    word = "noisebridge"
   
    for letter in word:
        times = frequency_dict.get(letter, 0)
        times += 1
        frequency_dict[letter] = times


Sign up for this to hear updates and conversations regarding the course!
=== Python Setup ===
We use Python 3, and encourage students to do the same.  The best way to install Python depends on your operating system, but there are good [https://realpython.com/installing-python/ online tutorials] for most cases.  The class uses Jupyter notebooks for slides and example code, but encourages students to run python from text files on their computers.  If you do not have a preferred way of editing programs, Python comes with a simple code editor called IDLE.


[http://groups.google.com/group/pyclass PyClass-Discussion]
Python can be difficult to install. If you don't yet have a programming environment, you are encouraged to message the organizer and get help with setup.


=== Class Description, Goals, and Ideal Student ===
If you want to attend class, but don't have Python installed, you can try it out with [http://repl.it/languages/Python3 repl.it].  This will allow you to follow along every class except the last one, which covers python projects and Flask.  We still recommend installing Python on your computer as soon as possible.


The pace of the courses will be fast, and the materials will be available online 24/7. We plan to frequently repeat modules with new twists as we iterate over course materials.
=== Helping out and getting additional help ===
PyClass runs on volunteer effort, and we would love to have your help keeping it it excellent!  The simplest and most appreciated contributions are simple examples of the projects you want to work on, the bugs you encounter, and the concepts you find difficult. Especially if they are succinct or easy to turn into problems that others can learn from.


A major PyClass goal is to break down the courses into independent units. In other words, you won't fall behind if you miss a week. Sounds good, right?
We are always looking for more people to teach classes.  This is a great way to solidify your understanding, find new and exciting edge cases, and help others.  We welcome people teaching existing classes, or their own classes on the subjects they are most excited about. Remember, the only thing that qualifies people to run PyClass is having enough enthusiasm to show up.


To best experience the course, spend a short time reviewing the course materials before you come in. If you wish to know this week's courses, please join the mailing list and send an email out to PyClass@googlegroups.com
If you need help getting started, getting unstuck, or getting someone to look at your code we are happy to help!  There are usually office hours during the week, announced in the class, and designed to solve these problems.  Feel free to reach out over meetup to learn more.


Lessons are available on GitHub [https://github.com/PyClass/PyClassLessons here] ([https://github.com/PyClass/PyClassLessons https://github.com/PyClass/PyClassLessons]).
=== Code of Conduct ===
PyClass holds to the Noisebridge [https://www.noisebridge.net/wiki/Community_Standards Community Standards], which we take seriously.


===== The 'ideal student' for this course can grasp the following code: =====
We also follow the Recurse Center [https://www.recurse.com/social-rules social rules], because they are excellent at creating an environment where people are comfortable learning.


(Feel free to use web resources to look up anything you don't understand)
=== Python Resources ===


<source lang="python">letter_frequency_dict = {}
For learning programming, we recommend that you consult multiple resources with a variety of formats and priorities.  Some of our favorite resources are <br />
word = &quot;noisebridge&quot;
-[http://learnpythonthehardway.org/ Learn Python the Hard Way] - A clear introduction to python intended for people new to programming. Written well enough to be useful for more advanced programmers as well.  Available in the Noisebridge library. <br />
   
-[https://docs.python.org/3 Python Documentation] - The Python documentation is a well written and comprehensive reference. It isn't a page turner, but should be one of your first stops when confused. <br />
for letter in word:
-[http://pymotw.com/3/ Python Module of the Week] - Python comes with batteries included, but it can still be hard find the best tool among the hundreds of modules it provides.  Python Module of the Week walks you through each of the standard library modules provided by the language.  <br />
    times = letter_frequency_dict.get(letter, 0)
- [https://pyvideo.org/ pyvideo] - A searchable index of Python conference talks.  Drop by class for some specific recommendations! <br />
    times += 1
- [http://pythontutor.com/ python tutor] - pythontutor.com allows you to walk through small pieces of code and understand how Python thinks of them.  An excellent resource for debugging mysterious Python behavior.
    letter_frequency_dict[letter] = times</source>
===== We use the [http://www.criticalthinking.org/pages/socratic-teaching/606 Socratic Method] =====


====== A Socratic questioner should ======
There are more good resources for learning Python than we can list here.  Do you have a favorite that you think is missing?  Let us know!


# keep the discussion focused
=== Free to all - please donate to Noisebridge! ===
# keep the discussion fact based*
# stimulate the discussion with probing questions
# periodically summarize what has and what has not been dealt with and/or resolved
# draw as many students as possible into the discussion.


:<nowiki>*</nowiki> [https://en.wikipedia.org/wiki/Intellectual_responsibility intellectually responsible] can be effectively replaced with 'fact based' for our needs.
This course only happens because the Noisebridge community provides a space for it to exist.  Maintaining the space and broader community is difficult and thankless work.  The course is free, but if you want to help the community pay rent go to: https://www.noisebridge.net/wiki/Donate_or_Pay_Dues. <br />
Recommended Donations: $15, $50, $200+ Recommended monthly donations: $10, $20, $40, $80+ / month


=== New Student Reading ===
[[Category:Programming languages]]
 
If you are new to python or programming in general here are some excellent resources:<br />-[http://learnpythonthehardway.org/ Learn Python the Hard Way] - great guide for total beginner<br />-[http://www.swaroopch.com/notes/python/ Byte of Python] - nice guide for total beginner and new to python<br />-[https://docs.python.org/2/tutorial/ Excellent Official Python Tutorial - 2.7.8] - great for new to python<br />-[http://shop.oreilly.com/product/0636920028154.do Learning Python 5th edition (also at sf lib)] - A comprehensive guide to the language and its uses<br />-[http://pymotw.com/2/ Python Module of the Week] - Learning the standard library by example<br />-[https://www.python.org/doc/ The docs themselves! 2.x for this class] - Learn what is and how to use the standard library
 
There are many, many good resources for learning the language of Python and how to do awesome things with it. Those listed above are just a few based on personal experience and strong recommendations.
 
=== OS / Environment / Versions ===
 
This section is under development.
 
[https://www.digitalocean.com/?refcode=1a1061eaf303 Digital Ocean $10 Credit]
 
For the sake of our sanity we use Python 2.x for this course.
 
Installing Python with [http://docs.python-guide.org/en/latest/ The Hitchhiker’s Guide to Python!]
 
Emergency Python Command Line: http://repl.it/languages/Python
 
'''We accept refugees using all operating systems. You will be politely prodded in the direction of solutions that are closer to posix standards: http://en.wikipedia.org/wiki/POSIX#Mostly_POSIX-compliant'''
 
Some routes:<br />1. Install a linux virtual machine on another computer using virtualbox.<br />2. Use the command line in your apple machine.<br />3. Explore POSIX for windows: http://en.wikipedia.org/wiki/POSIX#POSIX_for_Windows
 
Another critical tool is git:<br />''Windows: http://git-scm.com/download/win<br />''Mac: http://git-scm.com/download/mac<br />*Linux: (use your package manager)

Revision as of 00:26, 10 July 2019

Welcome to the Noisebridge PyClass!

PyClass is an introductory Python course run by the Noisebridge community. It helps students solve common programming problems while learning about the language. Classes are held Mondays 7:00 - 9:00 PM in the 'Church' Classroom, and are mostly organized through Meetup. If you have not been to Noisebridge before, please try to arrive 15 minutes early so that you can be introduced to the space.

Course Material

The course contains six lessons and assorted guest lectures. Each of the core classes covers a programming tool, from JSON in the first class to deploying a flask webapp in the last. Each class also demonstrates a feature that makes Python special, and when taken together they are a good baseline for effective programming in the language. The current list of classes is:

  • Storing and transmitting information with JSON
  • Working with text data
  • Relational databases and SQL
  • Performance and Big O notation
  • Objects and Classes
  • Web applications with Flask

The material for these is available on github. The classes tend to move fast, but can be repeated and have references to related material in the notes.

The first three classes (JSON, text data, SQL) are suitable for anyone, but will be more difficult if you are not comfortable using python as a calculator.

   # importing libraries
   import time
   
   # printing and calling functions
   print(time.ctime())
   
   # variables and math
   calculation = (1 * 2 * 3) / 2  
   
   # strings
   print('I've done some math!', calculation)
  • If you are comfortable this program, you will be comfortable with the class.
  • If can understand understand what the program is doing, the class is a good fit for you, but might seem fast.
  • If you do not have Python installed on your machine, you are invited to the class, but encouraged to arrange a time with the organizer to get started first.

The last three classes assume familiarity with loops, functions and collections. If you are comfortable with the following program you will be comfortable with the class.

   frequency_dict = {}
   word = "noisebridge"
   
   for letter in word:
       times = frequency_dict.get(letter, 0)
       times += 1
       frequency_dict[letter] = times

Python Setup

We use Python 3, and encourage students to do the same. The best way to install Python depends on your operating system, but there are good online tutorials for most cases. The class uses Jupyter notebooks for slides and example code, but encourages students to run python from text files on their computers. If you do not have a preferred way of editing programs, Python comes with a simple code editor called IDLE.

Python can be difficult to install. If you don't yet have a programming environment, you are encouraged to message the organizer and get help with setup.

If you want to attend class, but don't have Python installed, you can try it out with repl.it. This will allow you to follow along every class except the last one, which covers python projects and Flask. We still recommend installing Python on your computer as soon as possible.

Helping out and getting additional help

PyClass runs on volunteer effort, and we would love to have your help keeping it it excellent! The simplest and most appreciated contributions are simple examples of the projects you want to work on, the bugs you encounter, and the concepts you find difficult. Especially if they are succinct or easy to turn into problems that others can learn from.

We are always looking for more people to teach classes. This is a great way to solidify your understanding, find new and exciting edge cases, and help others. We welcome people teaching existing classes, or their own classes on the subjects they are most excited about. Remember, the only thing that qualifies people to run PyClass is having enough enthusiasm to show up.

If you need help getting started, getting unstuck, or getting someone to look at your code we are happy to help! There are usually office hours during the week, announced in the class, and designed to solve these problems. Feel free to reach out over meetup to learn more.

Code of Conduct

PyClass holds to the Noisebridge Community Standards, which we take seriously.

We also follow the Recurse Center social rules, because they are excellent at creating an environment where people are comfortable learning.

Python Resources

For learning programming, we recommend that you consult multiple resources with a variety of formats and priorities. Some of our favorite resources are
-Learn Python the Hard Way - A clear introduction to python intended for people new to programming. Written well enough to be useful for more advanced programmers as well. Available in the Noisebridge library.
-Python Documentation - The Python documentation is a well written and comprehensive reference. It isn't a page turner, but should be one of your first stops when confused.
-Python Module of the Week - Python comes with batteries included, but it can still be hard find the best tool among the hundreds of modules it provides. Python Module of the Week walks you through each of the standard library modules provided by the language.
- pyvideo - A searchable index of Python conference talks. Drop by class for some specific recommendations!
- python tutor - pythontutor.com allows you to walk through small pieces of code and understand how Python thinks of them. An excellent resource for debugging mysterious Python behavior.

There are more good resources for learning Python than we can list here. Do you have a favorite that you think is missing? Let us know!

Free to all - please donate to Noisebridge!

This course only happens because the Noisebridge community provides a space for it to exist. Maintaining the space and broader community is difficult and thankless work. The course is free, but if you want to help the community pay rent go to: https://www.noisebridge.net/wiki/Donate_or_Pay_Dues.
Recommended Donations: $15, $50, $200+ Recommended monthly donations: $10, $20, $40, $80+ / month