Change title notebooks

ipynb/020_basic_statements.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Standard types and basic statements
 

ipynb/030_functions.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Functions
 

ipynb/040_readwritefiles.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Read / write files
 

ipynb/060_import_standard_library.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Modules, `import` statement and the standard library
 

ipynb/070_data_struct.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # [Data structures](https://docs.python.org/3/tutorial/datastructures.html)
 

ipynb/080_oop_encapsulation.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTERRE), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Object-oriented programming: encapsulation
 

ipynb/081_oop_inheritance.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Object-oriented programming: inheritance
 

ipynb/100_environnement.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTERRE), Christophe Picard (LJK)
 
 # Python "environments", "extensions", "packages"
 

ipynb/110_intro_numpy_scipy_pandas.ipynb

 %% Cell type:markdown id: tags:
 
-# Python training UGA 2017
+# Scientific computing course 2020
 
-**A training to acquire strong basis in Python to use it efficiently**
+**Acquire strong basis in Python to use it efficiently**
 
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Oliver Henriot (GRICAD), Christophe Picard (LJK), Loïc Huder (ISTerre)
 
 # Python scientific ecosystem
 # A short introduction to Numpy, Scipy and Pandas

ipynb/111_intro_matplotlib.ipynb

 %% Cell type:markdown id: tags:
-# Python training UGA 2017
-**A training to acquire strong basis in Python to use it efficiently**
+# Scientific computing course 2020
+**Acquire strong basis in Python to use it efficiently**
 Pierre Augier (LEGI), Cyrille Bonamy (LEGI), Eric Maldonado (Irstea), Franck Thollard (ISTerre), Oliver Henriot (GRICAD), Christophe Picard (LJK), Loïc Huder (ISTerre)
 # Python scientific ecosystem
 # A short introduction to Matplotlib ([gallery](http://matplotlib.org/gallery.html))

ipynb/200_Mercurial_and_Gitlab.ipynb

@@ -36,11 +36,11 @@
 
 For advanced Git users, when using Mercurial, you loose the Git index (but not what you usually do with it) and you gain very interesting features, like for example long-term named branches, safe distributed history edition (phases, obsolete changesets, evolve extension) and the command `hg absorb` (automatic injection of uncommitted changes into prior commits in a PR).
 
 - https://www.mercurial-scm.org/ 
 
-- https://fluiddyn.readthedocs.io/en/latest/mercurial_bitbucket.html
+- https://fluiddyn.readthedocs.io/en/latest/mercurial_heptapod.html
 
 %% Cell type:markdown id: tags:
 
 ### Why Gitlab?
 
@@ -48,11 +48,11 @@
 
 ### Warning! Gitlab does not natively support Mercurial!
 
 For now, we'll have to use a Mercurial extension (hg-git) and it won't be as nice as if we could use a platform natively supporting Mercurial (as for example Bitbucket).
 
-But [Heptapod (Gitlab with Mercurial support)](https://octobus.net/blog/2018-09-18-heptapod-announce.html) is coming.
+But there is now [Heptapod (Gitlab with Mercurial support)](https://heptapod.net/).
 
 %% Cell type:markdown id: tags:
 
 ## Level 0: command `help`