This is the Gist the For Python Quants Bootcamp in London, 21.-24. November 2017 (http://fpq.io)
Additional files (eg Jupyter Notebooks) are found under:
https://gist.github.com/4ffd92694bee6092b5de639b6ee83dc3 (day 1)
https://gist.github.com/2561a238e9d78744207a05ab1d110e18 (day 2)
http://hilpisch.com/bootcamp.pdf
Fitch Guest
Ft1ch#2016#!
- Jake VanderPlas (2016): Python Data Science Handbook. O'Reilly.
- Wes McKinney (2017): Python for Data Analysis. 2nd ed., O'Reilly.
- Luciano Ramalho (2015): Fluent Python. O'Reilly.
- Python: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
- NumPy: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
- pandas: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf
- SciPy: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_SciPy_Cheat_Sheet_Linear_Algebra.pdf
- matplotlib: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Matplotlib_Cheat_Sheet.pdf
[Not needed for the bootcamp.]
To test whether it is installed, open a terminal window and type:
docker version
To run a docker container type:
docker run -ti -h fpq -p 8888:8888 ubuntu:latest /bin/bash
Open the Docker Quickstart Terminal.
To run a docker container type:
docker run -ti -h fpq -p 8888:8888 -e MACHINE_IP=$(docker-machine ip) ubuntu:latest /bin/bash
installation: https://conda.io/docs/user-guide/install/windows.html
To create an environment execute (Windows):
conda create -n fpq python=3.6
activate fpq
To install single or multiple Python packages:
conda install ipython jupyter numpy pandas scikit-learn matplotlib pytables
jupyter notebook
(Assuming Ubuntu running in a Docker container, for instance)
OS updates and tools:
apt-get update
apt-get upgrade
apt-get install wget bzip2 screen vim gcc
To download and install it:
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh
Open new shell instance to activate the new Python installation.
See http://conda.io
Aslo see https://conda.io/docs/_downloads/conda-cheatsheet.pdf
To create an environment execute (Linux/Mac):
conda create -n fpq python=3.6
source activate fpq
setting up an account with 10 USD starting credit: https://m.do.co/c/fbe512dd3dac
getting started: https://plot.ly/python/getting-started/
general http://oanda.com
demo account https://www.oanda.com/register/#/sign-up/demo
[email protected] | http://fpq.io
http://pyalgo.tpq.io | http://certificate.tpq.io
