Skip to content

Commit e8d99cb

Browse files
InessaPawsonInessaPawson
authored
Minor fix in formatting
1 parent 55dc586 commit e8d99cb

File tree

1 file changed

+35
-15
lines changed

1 file changed

+35
-15
lines changed

‎content/en/learn.md

Lines changed: 35 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -7,30 +7,42 @@ For the **official NumPy documentation** visit [numpy.org/doc/stable](https://nu
77

88
***
99

10-
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
10+
Below is a curated collection of educational resources, both for self-learning and
11+
teaching others, developed by NumPy contributors and vetted by the community.
1112

1213
## Beginners
1314

14-
There's a ton of information about NumPy out there. If you are just starting, we'd strongly recommend the following:
15+
There's a ton of information about NumPy out there. If you are just starting, we'd
16+
strongly recommend the following:
1517

1618
<i class="fas fa-chalkboard"></i> **Tutorials**
1719

1820
* [NumPy Quickstart Tutorial](https://numpy.org/devdocs/user/quickstart.html)
19-
* [NumPy Tutorials](https://numpy.org/numpy-tutorials) A collection of tutorials and educational materials in the format of Jupyter Notebooks developed and maintained by the NumPy Documentation team. To submit your own content, visit the [numpy-tutorials repository on GitHub](https://github.com/numpy/numpy-tutorials).
21+
* [NumPy Tutorials](https://numpy.org/numpy-tutorials) A collection of tutorials and
22+
educational materials in the format of Jupyter Notebooks developed and maintained by
23+
the NumPy Documentation team. To submit your own content, visit the
24+
[numpy-tutorials repository on GitHub](https://github.com/numpy/numpy-tutorials).
2025
* [NumPy Illustrated: The Visual Guide to NumPy *by Lev Maximov*](https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b)
21-
* [Scientific Python Lectures](https://lectures.scientific-python.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
26+
* [Scientific Python Lectures](https://lectures.scientific-python.org/) Besides covering
27+
NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
2228
* [NumPy: the absolute basics for beginners](https://numpy.org/devdocs/user/absolute_beginners.html)
2329
* [NumPy tutorial *by Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
2430
* [Stanford CS231 *by Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)
2531
* [NumPy User Guide](https://numpy.org/devdocs)
2632

2733
<i class="fas fa-book"></i> **Books**
2834

29-
* [Guide to NumPy *by Travis E. Oliphant*](https://web.mit.edu/dvp/Public/numpybook.pdf) This is the first and *free* edition of the book. To purchase the latest edition, [click here](https://www.amazon.com/exec/obidos/ASIN/151730007X/acmorg-20).
30-
* [From Python to NumPy *by Nicolas P. Rougier*](https://www.labri.fr/perso/nrougier/from-python-to-numpy/) *(free)*
31-
* [Elegant SciPy](https://www.amazon.com/Elegant-SciPy-Art-Scientific-Python/dp/1491922877) *by Juan Nunez-Iglesias, Stefan van der Walt, and Harriet Dashnow*
35+
* [Guide to NumPy *by Travis E. Oliphant*](https://web.mit.edu/dvp/Public/numpybook.pdf)
36+
This is the first and *free* edition of the book. To purchase the latest edition,
37+
[click here](https://www.amazon.com/exec/obidos/ASIN/151730007X/acmorg-20).
38+
* [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
39+
*by Nicolas P. Rougier* *(free)*
40+
* [Elegant SciPy](https://www.amazon.com/Elegant-SciPy-Art-Scientific-Python/dp/1491922877)
41+
*by Juan Nunez-Iglesias, Stefan van der Walt, and Harriet Dashnow*
3242

33-
You may also want to check out the [Goodreads list](https://www.goodreads.com/shelf/show/python-scipy) on the subject of "Python+SciPy." Most books there are about the "SciPy ecosystem," which has NumPy at its core.
43+
You may also want to check out the [Goodreads list](https://www.goodreads.com/shelf/show/python-scipy)
44+
on the subject of "Python+SciPy." Most books there are about the "SciPy ecosystem,"
45+
which has NumPy at its core.
3446

3547
<i class="far fa-file-video"></i> **Videos**
3648

@@ -44,20 +56,28 @@ Try these advanced resources for a better understanding of NumPy concepts like a
4456

4557
<i class="fas fa-chalkboard"></i> **Tutorials**
4658

47-
* [100 NumPy Exercises](http://www.labri.fr/perso/nrougier/teaching/numpy.100/index.html) *by Nicolas P. Rougier*
48-
* [An Introduction to NumPy and Scipy](https://engineering.ucsb.edu/~shell/che210d/numpy.pdf) *by M. Scott Shell*
49-
* [Numpy Medkits](http://mentat.za.net/numpy/numpy_advanced_slides/) *by Stéfan van der Walt*
50-
* [NumPy Tutorials](https://numpy.org/numpy-tutorials) A collection of tutorials and educational materials in the format of Jupyter Notebooks developed and maintained by the NumPy Documentation team. To submit your own content, visit the [numpy-tutorials repository on GitHub](https://github.com/numpy/numpy-tutorials).
59+
* [100 NumPy Exercises](http://www.labri.fr/perso/nrougier/teaching/numpy.100/index.html)
60+
*by Nicolas P. Rougier*
61+
* [An Introduction to NumPy and Scipy](https://engineering.ucsb.edu/~shell/che210d/numpy.pdf)
62+
*by M. Scott Shell*
63+
* [Numpy Medkits](http://mentat.za.net/numpy/numpy_advanced_slides/)
64+
*by Stéfan van der Walt*
65+
* [NumPy Tutorials](https://numpy.org/numpy-tutorials) A collection of tutorials and educational
66+
materials in the format of Jupyter Notebooks developed and maintained by the NumPy Documentation team.
67+
To submit your own content, visit the [numpy-tutorials repository on GitHub](https://github.com/numpy/numpy-tutorials).
5168

5269
<i class="fas fa-book"></i> **Books**
5370

54-
* [Python Data Science Handbook](https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1098121228) *by Jake Vanderplas*
55-
* [Python for Data Analysis](https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X) *by Wes McKinney*
71+
* [Python Data Science Handbook](https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1098121228)
72+
*by Jake Vanderplas*
73+
* [Python for Data Analysis](https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X)
74+
*by Wes McKinney*
5675
* [Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy, and Matplotlib](https://www.amazon.com/Numerical-Python-Scientific-Applications-Matplotlib/dp/1484242459) *by Robert Johansson*
5776

5877
<i class="far fa-file-video"></i> **Videos**
5978

60-
* [Advanced NumPy - broadcasting rules, strides, and advanced indexing](https://www.youtube.com/watch?v=cYugp9IN1-Q) *by Juan Nunez-Iglesias*
79+
* [Advanced NumPy - broadcasting rules, strides, and advanced indexing](https://www.youtube.com/watch?v=cYugp9IN1-Q)
80+
*by Juan Nunez-Iglesias*
6181

6282
***
6383

0 commit comments

Comments
 (0)
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy