Exploring #Python default arguments! Understanding how default lists, objects, and functions work differently than having numbers or strings. Something you will definitely run into when building out features. beyondpython.com/article/def…

Getting summary statistics on a #pandas dataframe by using `describe`. An easy way to see aggregate information quickly in #Python. beyondpython.com/article/sim…

Taking a look at #Python's built-in ~filter~ function to see which pattern it can help with and how it can be used to simplify code around looping with if statements. beyondpython.com/article/usi…

Exploring when it's time to start using #Python's #numpy library in your applications. Think about your audience, what kind of performance you need, and how you could leverage vector-based algorithms! What started your path to learning numpy? beyondpython.com/article/whe…

#Python's #matplotlib default styling might not be for you. Check out the different built-in styles available 📊 and how you can up your charting game in a single line! 💪 📈 beyondpython.com/article/exp…

Exploring #Python list slicing and the benefits of #numpy arrays! Jump into learning as you go with clear code examples beyondpython.com/article/sli…

New release - bit.ly/2z6kiTv 4.0 - bit.ly/2SGpdAl. Check out the new rendering framework compatible with Jupyter notebooks & other notebook systems such as Colab, Azure & Kaggle plus IDEs such as PyCharm, VSCode, Spyder and others.

#Python performance 💪: List comprehension vs map lambda vs for-loops! Using #jupyter notebooks to explore the use of %timeit. beyondpython.com/article/how…

🐍Python tutorials accessible for non-coders👩‍💻, students👨🏾‍🎓, and professionals👩🏻‍💼. Full source code, datasets, and visuals to complete each exercise from scratch. beyondpython.com/