An Introduction to NumPy: Make Python Faster
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This video introduces NumPy, which is an essential package in Python used for scientific computing. If you want to get into Data Science, NumPy is impossible to ignore. It offers efficient data structures: NumPy arrays, which we discuss in detail. Vectorization is a process to replace loops with array operations, which makes your code a lot faster. This video also covers NumPy functions, matrix multiplication, merging data, and the ravel vs flatten debate.
The code is available on GitHub (https://github.com/GerhardKling/Pytho....
Chapters
0:00 Introduction to NumPy
0:56 NumPy Functions
1:49 NumPy Array
5:56 Matrix Multiplication
9:12 Descriptive Statistics
9:42 The arange and linspace Functions
10:48 Merging Data
12:24 The ravel vs flatten Debate
The course
This video belongs to the course "Python for Data Science", which introduces Python and its use in the context of data analysis, machine learning, and simulations.
The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages including Python, Stata, and C++ to tackle problems and for fun.
Stay in touch
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Hashtags
#datascience #python #pythonprogramming
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