PyCon

Python

NumPy: What Has Changed and What Is Going To Change

Learn what in NumPy has changed and what is going to change in this talk by Matti Picus at PyCon Israel 2019.

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Data Science Python

Data Science Best Practices with pandas

Data School has a great video on the pandas library. In it, you’ll use pandas to answer questions about a real-world dataset. Through each exercise, you’ll learn important data science skills as well as “best practices” for using pandas. By the end of the tutorial, you’ll be more fluent at using pandas to correctly and […]

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AI Data Science

Building Your Own Data Science Platform With Python and Docker

Here’s an interesting talk from PyCon Germany by Joshua Görner, a Data Scientist at BMW. From the video description: Interactive notebooks like Jupyter have become more and more popular in the recent past and build the core of many data scientist’s workplace. Being accessed via web browser they allow scientists to easily structure their work by […]

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Python

Understanding Python Bytecode

Spend some time in Python and you’ll likely encounter its bytecode files — those ‘.pyc’ files Python likes to leave behind after it runs. Have you ever wondered what’s really going on in those files? Watch this video from PyCon 2018 to learn more about these files and what’s in them.

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Data Science Pandas

Using Pandas for Better (Or Worse) Data Science

The pandas library is a powerful tool for multiple phases of the data science workflow, including data cleaning, visualization, and exploratory data analysis. However, proper data science requires careful coding, and pandas will not stop you from creating misleading plots, drawing incorrect conclusions, ignoring relevant data, including misleading data, or executing incorrect calculations. In this […]

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