Commit 05a72127 authored by paugier's avatar paugier
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Change title notebooks

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# 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
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# 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
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%% 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
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%% 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
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%% 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)
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%% 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
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%% 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
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%% 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"
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%% 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
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# 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 Matplotlib ([gallery](http://matplotlib.org/gallery.html))
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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
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### Why Gitlab?
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### 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/).
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## Level 0: command `help`
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