MCandPython

Jupyter sessions for lecture on Python and Monte Carlo techniques.

Introduction to Python for numerical calculations
- The language: basics and syntax
- Numpy module
- Matplotlib module
Monte Carlo techniques in statistics and error handling.
- Estimator
- probability density functions
- Monte Carlo methods
- Error propagation

How to install Python and that is necessary for the lectures

If you are familiar with prompts or Python is already installed by administrators but you can not have admin access go to (ii.):
1. Go to https://www.python.org/ and download the windows version (or go directly here: https://www.python.org/downloads/windows/ ). Take executable installer of the version > 3.5 (currently at the creation of this readme it is 3.6.1)
2. Open a powershell prompt (search for powershell executable)
3. Then create a "virtual environment" that will have isolated environment in which you can install modules without affecting the main installation:
```
python -m venv myenv
```
4. Set the environment variables:
```
myenv\Scripts\activate
```
5. Now install jupyter module :
```
pip3 install jupyter
```
6. Now install the other modules :
```
pip3 install numpy
pip3 install matplotlib
pip3 install scipy
pip3 install pandas
```
7. You can start a jupyter server with: jupyter notebook
If you have admin access and want to be quick :
1. Go to Anaconda website: https://www.continuum.io/downloads and download the packaged python distribution that will includes jupyter, numpy, etc in one setup.

Install through your distribution the version python that you want (2.7 or >3.5)

Use pip install or pip install --user to install the following modules :

pip3 install --user jupyter
pip3 install --user numpy
pip3 install --user scipy
pip3 install --user pandas
pip3 install --user matplotlib

Those seminar sessions were written by Christophe Rappold

Those sessions are published under the terms of the CC BY-SA 4.0 license