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Conda, PyGotham 2015
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Christine Doig
August 15, 2015
Technology
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Conda, PyGotham 2015
Conda lightning talk at PyGotham 2015
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Transcript
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CONDA PACKAGE AND ENVIRONMENT MANAGER LANGUAGE AGNOSTIC CROSS-PLATFORM Python R
Java OS X Linux Windows Scala
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CO NDA INSTALL PYTHO N=3.4 M O NG O DB
PYTHO N=2.7 R SPARK NUTCH R-M ATRIX PANDAS NUM PY FLASK NO DE
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CONDA IS OPEN SOURCE https://github.com/conda BSD licensed
ANACONDA MINICONDA PYTHON CONDA PACKAGES PYTHON CONDA a bunch of
for scientific computing and data science
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CONDA VS PIP(+VIRTUALENV) CONDA PIP Language agnostic Python packages handles
environments ! natively virtualenv installs binaries compiles from source general purpose ! envs python! envs
CONDA + PIP $ conda install pip $ pip install
foo CONDA SKELETON PYPI $ conda skeleton pypi foo $ conda build foo/
WHY USE CONDA? Seen this message too many times:“Storing debug
log for failure in /.pip/pip.log” Python with compiled, platform- dependent C, C++, or Fortran code Multi-language Data Science Projects
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ANACONDA.ORG ~GITHUB FOR BINARY PACKAGES $ conda build conda.recipe/ $
conda server upload my_foo_pkg $ conda install -c chdoig my_foo_pkg
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ANACONDA.ORG/R $ conda install -c r r-foo
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ENVIRONMENT.YML name: myenv! channels:! - chdoig! - r! - foo!
dependecies:! - python=2.7! - r! - r-ldavis! - pandas! - mongodb! - spark=1.5! - pip! - pip:! ! ! ! - flask-migrate! ! ! ! - bar=1.4
$ conda env create $ source activate myenv CREATE AND
ACTIVATE
FREEZE VERSIONS $ conda env export -n freeze.yml name: pygotham-topic!
dependencies:! - certifi=14.05.14=py27_0! - gensim=0.10.3=py27_0! - ipython=3.2.1=py27_0! - ipython-notebook=3.2.1=py27_0! - jinja2=2.8=py27_0! - jsonschema=2.4.0=py27_0! - libsodium=0.4.5=2! - markupsafe=0.23=py27_0! - mistune=0.7=py27_0! - ncurses=5.9=1! - nltk=3.0.4=np19py27_0! - numpy=1.9.2=py27_0!
UPLOAD ENVIRONMENTS TO ANACONDA.ORG $ conda server upload my_foo_env.yml $
conda env create chdoig/my_foo_env.yml
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CONDA AUTO ENV cdoig:~$ cd pygotham-topic-modeling/ discarding /anaconda/bin from PATH
prepending /anaconda/envs/pygotham-topic/bin to PATH (pygotham-topic)cdoig:~/pygotham-topic-modeling$ https://github.com/chdoig/conda-auto-env
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CONDA.PYDATA.ORG
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CONTINUUM.IO/BLOG/CONDA-DATA-SCIENCE
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CONTINUUM.IO
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https://speakerdeck.com/chdoig/conda-pygotham-2015 @ch_doig Christine Doig, Data Scientist Introduction to Topic Modeling
in Python PyGotham 2015, Sun 3.30pm