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Python in Science - Introduction to numpy

Get Started with Scientific Python
Course from Udemy
 8 students enrolled
 en
use the Jupyter Notebook web application as well as some other development tools to some extent
create numpy arrays in a couple of different ways
use the attributes of numpy arrays
slice and index numpy arrays in a couple of different ways
reshape and merge numpy arrays
operate on numpy arrays

Get started with scientific Python by learning numpy. This module is widely used throughout the whole realm of science or data science.


Learn the Power of numpy Arrays.


· The Ipython console

· Magic functions

· The Spyder IDE

· Jupyter Notebook

· The attributes of numpy arrays

· Data types

· Numpy arrays with constant values

· Numpy arrays with uniformly or logarithmically spaced values

· Numpy arrays with diagonals set to specific values

· Numpy arrays created from functions

· Indexing numpy arrays

· Slicing numpy arrays

· Views and copies

· Fancy indexing

· Boolean indexing

· Reshaping numpy arrays

· Merging numpy arrays

· Arithmetic operations on numpy arrays

· Broadcasting

· Mathematical functions

· Aggregation

· Comparing numpy arrays

· Conditional functions

· Logical functions

· Random numbers

· Set operations

· Non-elementwise operations on numpy arrays

· The dot product

Python in Science - Introduction to numpy
$ 24.99
per course
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