Boolean indexing in NumPy and Pandas

Are you using Python for data science or machine learning?  If so, then you’re probably using NumPy and/or Pandas. These libraries are powerful and efficient — but they use something known as “boolean indexing” for filtering and retrieval of data. After having taught these libraries to hundreds of programmers around the world, I know that it can be frustrating to start using boolean indexes. If you have found them to be frustrating, then you’re not alone!

My 15-part e-mail course is designed to help you become fluent with boolean indexes. If you’re a data scientist, or just aspiring to be one, then you will be using boolean indexes every day. Don’t let your unfamiliarity with the syntax slow you down.  Every day, I’ll send you a new lesson or exercise to help you become more fluent with boolean indexes. By the end of the course, you’ll be able to accomplish your data science tasks more quickly and easily than ever before.

Sign up today, and become a more  efficient data scientist tomorrow!  It’s 100% free and without obligation.