Why do I need Anaconda?
Installing Python from scratch is no joy. Many scientific packages
require a specific version of Python or R computer language along with many
dependencies. It's hard to keep packages from interacting with each other, and
harder to keep them all updated. Anaconda makes getting and maintaining all
these packages quick and easy.
What is Anaconda?
The open source version of
Anaconda is an easy-to-install high performance Python and R distribution with
a package manager, environment manager and collection of 720+ open source
packages with free community support.
Then what is Miniconda?
It's Anaconda without the collection of 720
open source packages. With Miniconda you download only the packages you want
with the conda command, "conda install
PACKAGENAME"
|
Will
it work on
|
Yes, Anaconda is available for Windows,
OS X or Linux, 32- or 64-bit, 400 MB HD
|
my
machine?
|
available. Miniconda same but
needs only 3 MB HD.
|
Quick
Install It
|
docs.continuum.io/anaconda/install
|
Get
your conda
|
conda.pydata.org/docs/using/cheatsheet.html
|
cheat
sheet
|
|
Take the
test drive
|
conda.pydata.org/docs/test-drive.html
|
NOW PLAY WITH THE
WORLD'S MOST AWESOME DATA SCIENCE PACKAGES
Packaged included in Anaconda 4+,
or get with "conda install
PACKAGENAME"
1.NumPy | numpy.org
N-dimensional array for numerical computation
2.SciPy | scipy.org
Collection of numerical algorithms
and toolboxes, including signal processing and optimization
3.MatPlotLib | matplotlib.org
Plotting library for Python
4.Pandas | pandas.pydata.org
Powerful Python data analysis toolkit
5.Seaborn | stanford.edu/~mwaskom/software/seaborn/
Statistical data visualization
6.Bokeh | bokeh.pydata.org
Interactive web visualization library
7.SciKit-Learn | scikit-learn.org/stable
Python modules for machine learning and data
mining
8.NLTK | nltk.org
Natural language toolkit
9.Notebook | jupyter.org
Web-based interactive computational environment combines code
execution, rich text, mathematics, plots and rich media
10.
R essentials | conda.pydata.org/docs/r-with-conda.html
R with 80+ of the most used R packages for data science
"conda install -c r
r-essentials"
Follow us on Twitter @continuum.io
and join the #AnacondaCrew!
Connect with other talented, like-minded data scientists and
developers while contributing to the open source movement. Visit https://continuum.io/community
See full user documentation for Anaconda docs.continuum.io/anaconda
http://know.continuum.io/rs/387-XNW-688/images/Anaconda_CheatSheet.pdf?mkt_tok=eyJpIjoiWmprNE5UaGtOemMxTWpBeiIsInQiOiJmWEhPY2NFUE9TVWpVSG1qMHkrc3NvT0FIZVNTK0p6bUdaVkh3TitLQUJyYzVtMlZtQlRja3J2Y1ZSa1grVDVkc1VzY2dQb2NmVWF6eEh5eWFkcTlud2ZvM3JGSUkrVlRONzI3N3poSVwvdDliWUgxMFh1VXRQazBOaUdCWE9pUjUifQ%3D%3D
Continuum.io · info@continuum.io ·
512-776-1066 8/30/2016
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