Fix indentation in the multiline lists

Author: InessaPawson

content/en/learn.md

@@ -19,13 +19,13 @@ strongly recommend the following:
 
 * [NumPy Quickstart Tutorial](https://numpy.org/devdocs/user/quickstart.html)
 * [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).
+  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).
 * [NumPy Illustrated: The Visual Guide to NumPy](https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b)
-*by Lev Maximov*
+  *by Lev Maximov*
 * [Scientific Python Lectures](https://lectures.scientific-python.org/) Besides covering
-NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
+  NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
 * [NumPy: the absolute basics for beginners](https://numpy.org/devdocs/user/absolute_beginners.html)
 * [NumPy tutorial](https://github.com/rougier/numpy-tutorial) *by Nicolas Rougier*
 * [Stanford CS231](http://cs231n.github.io/python-numpy-tutorial/) *by Justin Johnson*
@@ -34,12 +34,12 @@ NumPy, these lectures offer a broader introduction to the scientific Python ecos
 <i class="fas fa-book"></i> **Books**
 
 * [Guide to NumPy](https://web.mit.edu/dvp/Public/numpybook.pdf) *by Travis E. Oliphant*
-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).
+  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).
 * [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
-*by Nicolas P. Rougier* *(free)*
+  *by Nicolas P. Rougier* *(free)*
 * [Elegant SciPy](https://www.amazon.com/Elegant-SciPy-Art-Scientific-Python/dp/1491922877)
-*by Juan Nunez-Iglesias, Stefan van der Walt, and Harriet Dashnow*
+  *by Juan Nunez-Iglesias, Stéfan van der Walt, and Harriet Dashnow*
 
 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," 
@@ -58,27 +58,29 @@ Try these advanced resources for a better understanding of NumPy concepts like a
 <i class="fas fa-chalkboard"></i> **Tutorials**
 
 * [100 NumPy Exercises](http://www.labri.fr/perso/nrougier/teaching/numpy.100/index.html)
-*by Nicolas P. Rougier*
+  *by Nicolas P. Rougier*
 * [An Introduction to NumPy and Scipy](https://engineering.ucsb.edu/~shell/che210d/numpy.pdf)
-*by M. Scott Shell*
+  *by M. Scott Shell*
 * [Numpy Medkits](http://mentat.za.net/numpy/numpy_advanced_slides/)
-*by Stéfan van der Walt*
+  *by Stéfan van der Walt*
 * [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).
+  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).
 
 <i class="fas fa-book"></i> **Books**
 
 * [Python Data Science Handbook](https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1098121228)
-*by Jake Vanderplas*
+  *by Jake Vanderplas*
 * [Python for Data Analysis](https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X)
-*by Wes McKinney*
-* [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*
+  *by Wes McKinney*
+* [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*
 
 <i class="far fa-file-video"></i> **Videos**
 
 * [Advanced NumPy - broadcasting rules, strides, and advanced indexing](https://www.youtube.com/watch?v=cYugp9IN1-Q)
-*by Juan Nunez-Iglesias*
+  *by Juan Nunez-Iglesias*
 
 ***