Installing Python - Revision history

Wiki-cours at 13:58, 11 September 2018

2018-09-11T13:58:38Z

← Older revision		Revision as of 15:58, 11 September 2018
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	* under Mac or Linux, installing from packages should be friendly. Installing [https://www.anaconda.com/download/ Anaconda] is also a good option as it contains everything but is heavy.		* under Mac or Linux, installing from packages should be friendly. Installing [https://www.anaconda.com/download/ Anaconda] is also a good option as it contains everything but is heavy.
	* under windows, we recommend to install [https://www.anaconda.com/download/ Anaconda], beware that it takes a lot of disk memory (more than a Gbyte). You can select packages.		* under windows, we recommend to install [https://www.anaconda.com/download/ Anaconda], beware that it takes a lot of disk memory (more than a Gbyte). You can select packages.
			* under Ubuntu of Linux, an alternative is the lighter version called [[Installing mini-conda]].

	== learning Python and Numpy ==		== learning Python and Numpy ==

Wiki-cours at 13:54, 11 September 2018

2018-09-11T13:54:51Z

← Older revision		Revision as of 15:54, 11 September 2018
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	== some distributions ==		== some distributions ==

	* under Mac or Linux, installing from packages should be friendly. Installing [~~http~~://~~continuum~~.io/~~downloads~~ Anaconda] is also a good option as it contains everything but is heavy.		* under Mac or Linux, installing from packages should be friendly. Installing [https://www.anaconda.com/download/ Anaconda] is also a good option as it contains everything but is heavy.
	* under windows, we recommend to install [~~http~~://~~continuum~~.io/~~downloads~~ Anaconda], beware that it takes a lot of disk memory (more than a Gbyte). You can select packages.		* under windows, we recommend to install [https://www.anaconda.com/download/ Anaconda], beware that it takes a lot of disk memory (more than a Gbyte). You can select packages.

	== learning Python and Numpy ==		== learning Python and Numpy ==

Wiki-cours at 15:36, 7 September 2017

2017-09-07T15:36:14Z

← Older revision		Revision as of 17:36, 7 September 2017
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	Therefore, you should have a look at the [https://www.scipy.org/install.html Scipy install] webpage.		Therefore, you should have a look at the [https://www.scipy.org/install.html Scipy install] webpage.

	We will try to work with Python 3 codes mostly so it is good for you to have Python 3 installed (there are two versions of Python, Python 2 and Python 3, which are not fully compatible).		We will try to work with '''Python 3''' codes mostly so it is good for you to have Python 3 installed (there are two versions of Python, Python 2 and Python 3, which are not fully compatible).

	In order to run scripts, you have several options~:		In order to run scripts, you have several options:
	* use the command line and some text editor (mostly Linux and Mac)		* use the command line and some text editor (mostly Linux and Mac)
	* use some simple IDE such as [https://en.wikipedia.org/wiki/IDLE Idle] (provided by the standard distribution) or [https://en.wikipedia.org/wiki/Spyder_(software) Spyder] (friendly under windows for instance)		* use some simple IDE such as [https://en.wikipedia.org/wiki/IDLE Idle] (provided by the standard distribution) or [https://en.wikipedia.org/wiki/Spyder_(software) Spyder] (friendly under windows for instance)

Wiki-cours: /* learning Python and Numpy */

2017-09-07T15:35:36Z

learning Python and Numpy

← Older revision		Revision as of 17:35, 7 September 2017
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	== learning Python and Numpy ==		== learning Python and Numpy ==

	* for French speaking students, you may have a look at the [[Memento_Python]]		* for French speaking students, you may have a look at the [[Memento_Python]] and below, as weel as any introductory course.
	* for English speaking students, there are many resources throughout the web: possible ones are		* for English speaking students, there are many resources throughout the web: possible ones are
	** [http://www.python-course.eu Python course]		** [http://www.python-course.eu Python course]
	** [http://www.scipy-lectures.org/ Scipy lecture notes]		** [http://www.scipy-lectures.org/ Scipy lecture notes]

Wiki-cours: /* learning Python and Numpy */

2017-09-07T15:34:54Z

learning Python and Numpy

← Older revision		Revision as of 17:34, 7 September 2017
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	== learning Python and Numpy ==		== learning Python and Numpy ==

	* for French speaking students, you may have a look at the [[~~Memento~~]]		* for French speaking students, you may have a look at the [[Memento_Python]]
			* for English speaking students, there are many resources throughout the web: possible ones are
			** [http://www.python-course.eu Python course]
			** [http://www.scipy-lectures.org/ Scipy lecture notes]

Wiki-cours at 15:29, 7 September 2017

2017-09-07T15:29:38Z

← Older revision		Revision as of 17:29, 7 September 2017
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	In order to run scripts, you have several options~:		In order to run scripts, you have several options~:
	* use the command line and some text editor (mostly Linux and Mac)		* use the command line and some text editor (mostly Linux and Mac)
	* use some simple IDE such as Idle (provided by the standard distribution) or Spyder (~~for~~ windows for instance)		* use some simple IDE such as [https://en.wikipedia.org/wiki/IDLE Idle] (provided by the standard distribution) or [https://en.wikipedia.org/wiki/Spyder_(software) Spyder] (friendly under windows for instance)
	* use the IPython notebook called [https://jupyter.org/ Jupyter] (for Windows, Mac and Linux) in which you can write text+formula+code+output, as in Mathematica. The notebook is an option to write your reports for Homeworks, together with the usual TeX+Figures		* use the IPython notebook called [https://jupyter.org/ Jupyter] (for Windows, Mac and Linux) in which you can write text+formula+code+output, as in Mathematica. The notebook is an option to write your reports for Homeworks, together with the usual TeX+Figures

	== some distributions ==		== some distributions ==

			* under Mac or Linux, installing from packages should be friendly. Installing [http://continuum.io/downloads Anaconda] is also a good option as it contains everything but is heavy.
			* under windows, we recommend to install [http://continuum.io/downloads Anaconda], beware that it takes a lot of disk memory (more than a Gbyte). You can select packages.

			== learning Python and Numpy ==

	~~La procédure recommandée est d'utiliser une distribution tout-en-un qui inclut les toutes les bibliothèques utiles au prix d'une certaine occupation du disque.~~		* for French speaking students, you may have a look at the [[Memento]]
	~~Consulter le site [https://www.scipy.org/install.html Scipy install] pour plus de précisions.~~
	* Pour ce cours, nous avons essayé la distribution [http://continuum.io/downloads Anaconda] qui fonctionne bien sur PC individuels mais a posé des problèmes pour les dossiers utilisateurs partagés en réseau.
	* ~~[http://python-xy.github.io/ Python(x~~,~~y)]~~ a ~~mieux fonctionné.~~

	~~== sous Linux ou Mac OS ==~~

	~~Python est nativement installé. Si besoin, il faut installer IPython et le notebook, ainsi que les bibliothèques scientifiques scipy, numpy, matplotlib.~~
	~~Consulter le site~~ [~~https://www.scipy.org/install.html Scipy install] pour plus de précisions.~~

	~~La distribution~~ [~~https://store.continuum.io/cshop/anaconda/ anaconda~~] ~~est également disponible sous Linux et Mac OS.~~

	~~Pour en savoir plus:~~
	* [https://github.com/python-prepa/python-prepa/blob/master/preparation/mail_installation.rst Conseils sur l'installation]

Wiki-cours: Created page with "You need to install a Python distribution that contains the scientific libraries scipy, numpy and matplotlib. Therefore, you should have a look at the [https://www.scipy.org/i..."

2017-09-07T15:17:13Z

Created page with "You need to install a Python distribution that contains the scientific libraries scipy, numpy and matplotlib. Therefore, you should have a look at the [https://www.scipy.org/i..."

New page

You need to install a Python distribution that contains the scientific libraries scipy, numpy and matplotlib.
Therefore, you should have a look at the [https://www.scipy.org/install.html Scipy install] webpage.

We will try to work with Python 3 codes mostly so it is good for you to have Python 3 installed (there are two versions of Python, Python 2 and Python 3, which are not fully compatible).

In order to run scripts, you have several options~:
* use the command line and some text editor (mostly Linux and Mac)
* use some simple IDE such as Idle (provided by the standard distribution) or Spyder (for windows for instance)
* use the IPython notebook called [https://jupyter.org/ Jupyter] (for Windows, Mac and Linux) in which you can write text+formula+code+output, as in Mathematica. The notebook is an option to write your reports for Homeworks, together with the usual TeX+Figures

== some distributions ==

La procédure recommandée est d'utiliser une distribution tout-en-un qui inclut les toutes les bibliothèques utiles au prix d'une certaine occupation du disque.
Consulter le site [https://www.scipy.org/install.html Scipy install] pour plus de précisions.
* Pour ce cours, nous avons essayé la distribution [http://continuum.io/downloads Anaconda] qui fonctionne bien sur PC individuels mais a posé des problèmes pour les dossiers utilisateurs partagés en réseau.
* [http://python-xy.github.io/ Python(x,y)] a mieux fonctionné.

== sous Linux ou Mac OS ==

Python est nativement installé. Si besoin, il faut installer IPython et le notebook, ainsi que les bibliothèques scientifiques scipy, numpy, matplotlib.
Consulter le site [https://www.scipy.org/install.html Scipy install] pour plus de précisions.

La distribution [https://store.continuum.io/cshop/anaconda/ anaconda] est également disponible sous Linux et Mac OS.

Pour en savoir plus:
* [https://github.com/python-prepa/python-prepa/blob/master/preparation/mail_installation.rst Conseils sur l'installation]