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Python is the most population language for data science — which seems weird, given that it’s a high-level, dynamic language whose performance doesn’t come even close to that of C. How can it be, that such a language is so popular for working with data?
The answer: NumPy, a library that gives you the best of both worlds, combining the speed of C with the friendliness of Python.
This course introduces you to NumPy, giving you the conceptual and syntactic background you need to successfully start working with Python in the world of data.
If you want to use Python for working with data, then you need to learn NumPy. This course will teach it to you, with the same techniques and exercises I’ve been using at Fortune 500 companies for more than two decades.
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I’m a one-person company dedicated to improving your career via Python and related technologies. If you haven’t gotten value from any of my courses, then just tell me — and I’ll refund your money.
Reuven is a full-time Python trainer. In a given year, he teaches courses at companies in the United States, Europe, Israel, India, and China — as well as to people around the world, via his online courses.
Reuven created one of the first 100 Web sites in the world just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996.
In 2020, Reuven published “Python Workout,” a collection of Python exercises with extensive explanations, published by Manning. He’s currently finishing edits on “Pandas Workout,” a similar collection of exercises using the “Pandas” library for data analytics.
Reuven’s free, weekly “Better developers” newsletter, about Python and software engineering, is read by more than 30,000 developers around the globe. His “Trainer weekly” newsletter is popular among people who give corporate training.
Reuven’s most recent venture is Bamboo Weekly: Every Wednesday, he presents a problem based on current events, using a public data set. And every Thursday, he shared detailed solutions to those problems using Pandas.
Reuven’s monthly column appeared in Linux Journal from 1996 until the magazine’s demise in 2019. He was also a panelist on both the Business of Freelancing and Freelancers Show podcasts.
Reuven has a bachelor’s degree in computer science and engineering from MIT, and a PhD in learning sciences from Northwestern University. He lives in Modi’in, Israel with his wife and three children.
I send a full-length Python article to more than 30,000 people each week — on topics ranging from iterators to descriptors, variable assignment to sets, exceptions to command-line arguments. Join me, and get smarter about Python each week!