This is a repository of wxPython tutorials. It is to accompany the lecture videos I've uploaded (pending) to YouTube.

• Link to be added upon video uploads

• wxPython version 4.0.2+

• Python 3.6+

• Some python experience (strongly recommended)

• Git (recommended, you're on Github)

• Bash-like terminal (recommended)

People who

• don't want to learn PyQT and don't want to pay for the liscensing.

• need a simple GUI platform

Better looking platforms exist, but wxPython can be quick and easy to develop applications in.

All code was written on a Ubuntu machine, but is compatible with most Windows machines. If you are developing natively on Windows, be sure to have a Unix like terminal available like Git-bash or Ubuntu terminal.

• Git Bash

• Install the Linux Subsystem on Windows 10 | Microsoft Docs

You will need Git to clone this project directory

git clone https://github.com/Johnnyboycurtis/wxtutorials.git

All code was developed using Python 3.6+ and wxPython 4.0.2. If you are still using Python 2, please consider migrating to Python 3 as support is for version 2 is limited; see count down.

There are many flavors of Python. I recommend using Anaconda's Miniconda; not the full blown Anaconda download.

For your sanity's sake, I highly recommend using virtualenv or conda's environments. I use miniconda; you can create a new environment with whatever version of Python you'd like with a simple command

conda create -n myenv python=3.6

and activate it on your system's (bash) terminal with

source activate myenv

Reference: Managing environments — Conda documentation

To install wxPython and all other necessary packages, run

conda install -c anaconda wxpython
conda install matplotlib numpy ipython

Here are some helpful resources, but beware, they may be outdated

• http://zetcode.com/wxpython/

• https://wiki.wxpython.org/How%20to%20Learn%20wxPython

• https://www.tutorialspoint.com/wxpython/

I recommend Corey Schafer's Python Tutorials

Practice, my friend. Complexity and the Ten-Thousand-Hour Rule