Installing Python: Difference between revisions
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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) | ||
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== some distributions == | == some distributions == | ||
* under Mac or Linux, installing from packages should be friendly. Installing [ | * 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 [ | * 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 == |
Latest revision as of 15:58, 11 September 2018
You need to install a Python distribution that contains the scientific libraries scipy, numpy and matplotlib. Therefore, you should have a look at the 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 (friendly under windows for instance)
- use the IPython notebook called 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
- under Mac or Linux, installing from packages should be friendly. Installing Anaconda is also a good option as it contains everything but is heavy.
- under windows, we recommend to install 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
- 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