This document introduces Conda, a package and environment manager for Python. It notes that directly installing scientific Python packages with pip can cause issues due to dependencies and compiler requirements. Conda addresses these issues by providing pre-compiled packages for different operating systems and Python versions, and allowing creation of isolated environments with different package configurations. The document provides an overview of main Conda commands and demonstrates how to create and use Conda environments for different Python versions or projects.

1. INTRODUCTION TO
CONDA
Python Bordeaux Meetup – Node
2016-02-04
Damien Garaud

2. WHO AM I?
Damien Garaud
Scientist Programmer
Trainer & learning-addict
@jazzydag
https://github.com/garaud

3. PACKAGE DISTRIBUTION FAMILY
easy_install
pip
virtualenv
wheel

4. PIP FOR SCIENTIFIC PACKAGES
Have you ever try a
pip install scipy?

5. JUST DON'T

6. DID YOU SAY COMPILATION?
Give me a C/C++/Fortran compiler please
OS & Architecture dependent
ABI compatibility
Numpy stack <- pandas, scipy, matplotlib, sklearn,
skimages, OpenCV, PyTables, numexpr

7. PYTHON PACKAGING
Python version 2.7, 3.4, 3.5
Which compilers? Which version?
Numpy C API version 1.7, 1.8, 2.X
Deep Dependencies
I'm a pandas

8. GREAT POWER, GREAT RESP...
You should manage your own stuff
GNU/Linux: apt, yum, pacman
OSX: macports, homebrew
Windows: ??

9. (ANA)CONDA
Python distribution: 2.7, 3.5
Package Manager: conda
Continuum Analytics company
http://docs.continuum.io/anaconda/index
http://conda.pydata.org/docs/index.html

10. MAIN COMMANDS
Command Line doesn't bite
conda help
conda search <pkg>
conda install <pkg>
conda upgrade <pkg>
conda uninstall <pkg>

11. CONDA ENVIRONMENTS
Quite similar to virtualenv
conda create ‐n newenv <pkg1> <pkg2>
Can use different Python versions
conda create ‐n py35 python=3.5
source activate py35
pip still works
clone, reproduce, build, share

12. DEMO
...
A Prayer for the Wireless God
...

13. THANKS
Inspired from
https://speakerdeck.com/teoliphant/packaging-and-
deployment-with-conda