Study room

💬 Join or Return to our Discord server

Schedule

11:00 - 12:30 start
12:30 - 13:00 break for lunch
13:00 - 14:15 early afternoon session
14:15 - 14:30 stretch your legs
14:30 - 15:30 final stretch
15:30 - 16:00 wind down, helping each other

Welcome to the study room

Welcome to the study room. This is where you can find all the resources we'll be using on the day for the NSA Python study group.

🌟 The course is designed for self-study or classroom work.

🌟 We will work together on the course material, and support each other.

🌟 We will make inroads on the first few modules and assess the course material together.

💬 Use Discord to share with the group. We're in channel: #nsa-python-study-group

Ways of working

The format of the event is a live stream for everyone to view, combined with smaller working groups facilitated by a social cafe (created by the brilliant Kevin Lewis).

We'll explore the text of the course together through a live stream and Discord - use the #nsa-python-study-group channel to ask, comment and answer as we work through it.

A we reach exercises or hands-on sections, we'll use the social cafe so that you can talk in groups while doing it.

Keep the live stream open - so you can hear when it's time to start again.

Shared tools (below)

Live stream - where we'll be presenting the material
Social cafe - where you can work together in groups on exercises
Library - with deep links to each module in the source material

To be ready for the study group, install Anaconda and a text editor eg. Visual Studio Code

Live stream

Join the study group at 11.00am on Saturday 28th.

Social cafe

Join the social cafe to work together with others in smaller groups during the exercises.

We have randomly assigned you a table number to help evenly distribute people across all the tables.
Ideally each table will have a mix of abilities - so feel free to ask and answer questions.
If you'd like to talk to the room at large, you can use our Discord server (join | return), we're in channel #nsa-python-study-group

Library

Use the library to dive into the source material for our course.
Each link below takes you to the start of a module.

Basics of Python

Advanced topics and modules

Module: Collections and Itertools
Module: Command-line arguments
Module: Dates and times
Module: Interactive user input with ipywidgets
Module: GUI basics with TKinter
Module: Logging
Module: Math and more
Module: Visualization
Module: Pandas
Module: A bit about Geos
Module: My first web application
Module: Network communication over HTTPS and sockets
Module: HTML processing with BeautifulSoup
Module: Operations with compression and archives
Module: Regular expressions
Module: Hashes
Module: SQL and Python
Module: Structured data: CSV, XML and JSON
Module: System interaction
Module: Threading and subprocesses
Module: Machine learning introduction