This post contains my top 5 Python tools. These 5 tools are the ones I use the most and recommend for Python programmers. These tools help me write, run and revise code and they make me a more productive programmer.

In this post, I'll review creating virtual environments on three different operating systems: Windows 10, Linux and Mac OSX. Using virtual environments is good programming practice when using Python. A virtual environment will separate the Python interpreter and installed modules from the main Python installation.

To start a new Python project, it is best practice to create a new virtual environment. I have the Anaconda distribution of Python installed on my Windows 10 machine at work. When you install Anaconda, it comes with the very useful Anaconda Prompt. Using the Anaconda Prompt is a bit …

In this post, we will run through installing the Anaconda distribution of Python on Windows 10. I think the Anaconda distribution of Python is the the best option for undergraduate engineers who want to use Python. Anaconda is free (although the download is large which can take time) and can be installed on school or work computers where you don't have administrator access or the ability to install new programs.