change R2 to ENSAI

README.md

@@ -1,10 +1,9 @@
-# Python tools for Big Data
+# Parallel Computing with Python
 
-Notebooks for [Master of Data Science Rennes](https://www.sites.univ-rennes2.fr/master-mas/index.html)
+Notebooks for [Master for Smart Data Science ENSAI Rennes](https://ensai.fr/en/2-cursus/msc-statistics-for-smart-data/)
 
 [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pnavaro/big-data/master)
 [![JupyterBook](https://github.com/pnavaro/big-data//workflows/book/badge.svg)](https://github.com/pnavaro/big-data/actions/)
-[![Gitpod Ready-to-Code](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/pnavaro/big-data)
 
 - [Website](https://pnavaro.github.io/big-data) generated with [jupyterbook](https://jupyterbook.org).
 - [Website](https://pnavaro.github.io/big-data/quarto/intro.html) generated with [quarto](https://quarto.org).
@@ -14,6 +13,7 @@ The content of these notebooks are made thanks to these [references](https://pna
 ## Run Jupyter notebooks with docker
 
 ### Get docker app
+
  - [Mac](https://www.docker.com/docker-mac)
  - [Windows](https://www.docker.com/docker-windows)
  - [Linux](https://runnable.com/docker/install-docker-on-linux)
@@ -26,5 +26,4 @@ git clone https://github.com/pnavaro/big-data.git
 docker run --rm -v $PWD/big-data:/home/jovyan/ -p 8888:8888 -p 4040:4040 pnavaro/big-data
 ```
 
-
 <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.

notebooks/_config.yml

@@ -1,6 +1,6 @@
 title: Python tools for Big data
 author: Pierre Navaro
-logo: images/logoR2-Noir.png
+logo: images/logo_ENSAI.png
 
 latex:
   latex_documents:

notebooks/_quarto.yml

@@ -4,7 +4,7 @@ project:
 
 site:
   title: "Python tools for Big Data"
-  logo: images/logoR2-Noir.png
+  logo: images/logo_ENSAI.png
   navbar:
     type: dark
     background: primary

notebooks/intro.md

@@ -1,8 +1,6 @@
-# Python tools for Big data
+# Parallel Computing with Python
 
-This course is being taught at as part of Master Datascience Rennes II
-
-[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/pnavaro/big-data) [![View on Deepnote](https://beta.deepnote.com/buttons/launch-in-deepnote.svg)](https://deepnote.com/workspace/pierre-navaro-e83f212c-c65d-4fbd-ab8d-f435272b1d5b/project/Rennes2-70d1fe9d-dab0-43fc-8e68-32e5ce63f747)
+This course is being taught at as part of [Master For Smart Data Science](https://ensai.fr/2-cursus/msc-statistics-for-smart-data/) ENSAI Rennes.
 
 ## Run Jupyter notebooks with docker
 
@@ -54,6 +52,10 @@ docker run --rm -v $PWD/big-data:/home/jovyan/ -p 8888:8888 -p 4040:4040 pnavaro
   	   * [Hortonworks Data Tutorials](https://github.com/hortonworks/data-tutorials)
 
 ### Blog posts
+  * [Why Polars uses less memory than Pandas](https://pythonspeed.com/articles/polars-memory-pandas/)
+  * [Reducing Pandas memory usage #1: lossless compression](https://pythonspeed.com/articles/pandas-load-less-data/)
+  * [Reducing Pandas memory usage #2: lossy compression](https://pythonspeed.com/articles/pandas-reduce-memory-lossy/)
+  * [Reducing Pandas memory usage #3: Reading in chunks](https://pythonspeed.com/articles/chunking-pandas/)
   * [Don't use Hadoop - your data isn't that big](https://www.chrisstucchio.com/blog/2013/hadoop_hatred.html)
   * [Format Wars: From VHS and Beta to Avro and Parquet](http://www.svds.com/dataformats/)  overview of Hadoop File formats.
   * [Should you replace Hadoop with your laptop?](http://veekaybee.github.io/2017/03/20/hadoop-or-laptop/) by Vicki Boykis.