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Brought to you by Python industry leader and author of The Python Coding Book, Stephen Gruppetta
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Course curriculum
27 lessons
3.5 hours of video content
On The Road to NumPy
Understanding the problem NumPy goes on to solve
Understanding NumPy’s ndarray Data Type
Say Hello to ndarray – Other ndarray Features
Vectorisation
Performing Operations Element-by-Element in NumPy — Comparing Loops With Lists, List Comprehensions, and NumPy Vectorisation – Let’s Race • Timing The Three Versions – A Glimpse At NumPy’s Documentation
Multiple Dimensions in NumPy Arrays
More Than One Dimension — Creating Arrays of Random Numbers • The Five-Player Three-Round Game – Broadcasting – A Brief Introduction – Another Glimpse At NumPy’s Documentation – Let’s Add One More Dimension • 3D Arrays
Boolean Operations, Boolean Indexing, Filtering and more
Boolean Operations on NumPy Arrays — Boolean Indexing and Filtering – There’s Lots More in NumPy’s API – Views and Copies – A Brief Introduction
The Met Office Temperature Dataset
Reading The Data From a CSV File to a NumPy Array — Remove What We Don’t Need From The Array – Finding the Minimum, Maximum, and Mean Temperatures – Grouping Temperatures Using a Histogram – Plotting the Data
Representing Equations Using NumPy
From an Equation on Paper to An Equation on Computer • np.arange() and np.linspace() — Plotting The Equation
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This pass gives you access to the premium content that is reserved for paid members of The Place for one week. You can complete the NumPy course or any of the others that take your interest. The Place is a relaxed and friendly place to learn Python, with direct access to me. It’s a little bit different from courses you have done before, it’s more like having a tutor for a fraction of the cost.
—Stephen
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10
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2
Books Published
100%
Customer satisfaction
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Python Students Taught
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