Python is bursting with updates and innovations worthy of your attention. This week’s report highlights some of the best of them, with handy guides to get you started.

Have you ever wished you could edit Python packages installed locally without reinstalling them? Editable installs are the way.

In this section, we'll use the Seaborn library, which I've covered previously, to visualize statistical data with Python the way you would with a graphing calculator in a stats class.

You can take your existing Python knowledge, immediately apply it, and not have to become a finance pro, or learn all of these random formulas in order to be effective in a sheet.

Python in Excel a Smarter Way to Use External Data Watch this video on YouTube. Stay informed about the latest in Python in Excel by exploring our other resources and articles.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.