About Course
Dive deep into the world of Python NumPy with this comprehensive course. Starting with basic concepts like arrays and functions, you’ll progress to advanced topics like conditional selection, array operations, and stacking. Gain hands-on experience through practical examples and practice questions. This course is authored By Codeitup and is perfect for anyone looking to master data manipulation with Python.
Course Content
Python Numpy Course Content
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Introduction to Python NumPy
08:02 -
Installing NumPy with Anaconda
10:08 -
Writing, Compiling, and Running Programs in NumPy
12:48 -
Creating One-Dimensional Arrays in NumPy
06:59 -
Creating Two-Dimensional Arrays in NumPy
06:32 -
Exploring Functions in NumPy
12:05 -
Indexing and Slicing NumPy Arrays
12:47 -
Reshaping Arrays in NumPy
09:03 -
Using the Seed Function in NumPy
05:29 -
Creating 2D Arrays with User Input in NumPy
13:37 -
Slicing Two-Dimensional Arrays in NumPy
12:57 -
View vs. Copy in NumPy
07:41 -
Conditional Selection in NumPy
08:23 -
Performing Operations on NumPy Arrays
11:54 -
NumPy Array Functions – Part 1
07:23 -
NumPy Array Functions – Part 2
08:09 -
NumPy Array Functions – Part 3
08:35 -
Stacking Arrays in NumPy
07:00 -
Practice Questions on NumPy
03:31 -
Solutions to NumPy Practice Questions
14:27 -
NumPy vs. Python Lists
10:52 -
Searching Elements in NumPy Arrays
09:41
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