Merge pull request #695 from jarrodmillman/lectures

Author: melissawm

content/en/learn.md

@@ -18,7 +18,7 @@ There's a ton of information about NumPy out there. If you are just starting, we
 * [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).
 * [NumPy Illustrated: The Visual Guide to NumPy *by Lev Maximov*](https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b)
-* [SciPy Lectures](https://scipy-lectures.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
+* [Scientific Python Lectures](https://lectures.scientific-python.org/) Besides covering 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 *by Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
 * [Stanford CS231 *by Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)

content/ja/learn.md

@@ -18,7 +18,7 @@ NumPyについての資料は多数存在しています。 初心者の方に
 * [NumPy Quickstart チュートリアル](https://numpy.org/devdocs/user/quickstart.html)
 * [NumPyチュートリアル](https://numpy.org/numpy-tutorials)で、いくつかのチュートリアルと教育的資料を見ることができます。 このページのゴールは、NumPyプロジェクトによる質のいい資料を提供することです。 自習と講義形式の両方を想定しており、Jupyterノートブック形式で提供されます。 もしあなた自身の資料を追加することに興味がある場合、[Github上のnumpy-tutorialsリポジトリ](https://github.com/numpy/numpy-tutorials)をチェックしてみて下さい。
 * [イラストで学ぶNumPy *by Lev Maximov*](https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b)
-* [SciPyレクチャー](https://scipy-lectures.org/) NumPyだけでなく、科学的なPythonソフトウェアエコシステムを広く紹介しています。
+* [Scientific Pythonレクチャー](https://lectures.scientific-python.org/) NumPyだけでなく、科学的なPythonソフトウェアエコシステムを広く紹介しています。
 * [NumPy: 初心者のための基本](https://numpy.org/devdocs/user/absolute_beginners.html)
 * [NumPy チュートリアル *by Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
 * [スタンフォード大学 CS231 *by Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)

content/pt/learn.md

@@ -18,7 +18,7 @@ Há uma tonelada de informações sobre o NumPy lá fora. Se você está começa
 * [NumPy Quickstart Tutorial (Tutorial de Início Rápido)](https://numpy.org/devdocs/user/quickstart.html)
 * [NumPy Tutorials](https://numpy.org/numpy-tutorials) Uma coleção de tutoriais e materiais educacionais no formato de Notebooks Jupyter desenvolvidos e mantidos pelo time de documentação do NumPy. Se você tiver interesse em adicionar o seu próprio conteúdo, verifique o repositório [numpy-tutorials no GitHub](https://github.com/numpy/numpy-tutorials).
 * [NumPy Illustrated: The Visual Guide to NumPy *por Lev Maximov*](https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b)
-* [SciPy Lectures](https://scipy-lectures.org/) Além de incluir conteúdo sobre a NumPy, estas aulas oferecem uma introdução mais ampla ao ecossistema científico do Python.
+* [Scientific Python Lectures](https://lectures.scientific-python.org/) Além de incluir conteúdo sobre a NumPy, estas aulas oferecem uma introdução mais ampla ao ecossistema científico do Python.
 * [NumPy: the absolute basics for beginners ("o básico absoluto para inciantes")](https://numpy.org/devdocs/user/absolute_beginners.html)
 * [NumPy tutorial *por Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
 * [Stanford CS231 *por Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)