Weekly Python Exercise helps you achieve Python fluency in the best way: Lots and lots of practice. Every Tuesday, receive a new Python challenge, and every Friday, receive a detailed solution. A dedicated forum lets you chat with other WPE subscribers, swapping ideas and finding people to pair with. Want to level up your Python? WPE is for you.
Git might be super powerful, but it's also super confusing to many of the developers who use it. This course, with more than 7.5 hours of video, 80 exercises, and 11 slide decks, is an Internet version of the course I give to Fortune 100 companies. Understand repositories, commits, branches, merges, and Git on the network.
Do you use Python? But do you also go to Stack Overflow to solve a problem? That's because you're not fluent in the language. What you need is directed practice in order to ipmrove. WPE is a year-long course that improves your Python fluency through a combination of exercises and community. Improve your Python, and your career, with WPE.
Are you relatively new to Python, but need to check on Stack Overflow every time you write a new function? How about modules — how do you feel about those? Weekly Python Exercise provides you with 15 practice problems, solved with a community.
Want to improve your Python skills? The best way is via practice. Python Workout is a new book that helps you to improve your Python skills via 50 problems on a variety of topics — from strings and lists to objects and iterators.
Looking for a job using Python? My new, free course, "Ace Python Interviews," has 6 hours of video walking you through 50 common questions asked at job interviews. Comes with the Jupyter notebooks I created in making the screencasts.
Improve your Pandas skills, one week at a time.
Every week, I'll pose a question based on current events, and point you to a public data set on that topic. The next day, I'll share my solution.
Join me, as we all get better at analytics with Pandas!
Bamboo Weekly is the fun, easy, effective way to improve your Pandas skills.
Every Wednesday, get questions from a real-world data set, on a topic based on current events. The following day, get detailed solutions, including the Jupyter notebook.