LernerPython

NumPy

Learn NumPy, the foundation for all numeric and scientific computing in Python

What you should know

Course Content

Course length

5.5 hours

Number of lessons

Training materials

25 PDFs + Jupyter notebooks

Coding exercises

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About the Course

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.

What you’ll learn

What are NumPy arrays? How are they different from Python lists?
Creating arrays
Retrieving from arrays
Common methods and calculations
Reading from, and writing to files
Broadcasting operations
Choosing dtypes
Boolean indexing
Multi-dimensional arrays
Plotting with Matplotlib

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Instructor

This course, like all others on LernerPython.com, is taught by Reuven Lerner.

Pricing

100% Money Back Guarantee

I’m a one-person company dedicatedto 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.

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$40

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