Anaconda Install Instructions V3
anaconda_install_instructions_v3
anaconda_install_instructions_v3
anaconda_install_instructions_v3
User Manual:
Open the PDF directly: View PDF 
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Page Count: 12
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Alexander Fred-Ojala
afo@berkeley.edu
Data-X at Berkeley
About Me:
Data-X at Berkeley:
Install instructions for Mac OSX / Linux
(also works for Windows)
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Windows Instructions
For Windows, when you install
Anaconda, choose to also install
Anaconda Prompt.
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Create Virtual Environment for Data-X
•Open Terminal
•Run the command:
conda create -n data-x python=3 anaconda tensorflow keras
To activate Virtual environment:
source activate data-x
on Windows: activate data-x
To deactivate Virtual environment:
source deactivate
on Windows: deactivate
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Before you install packages or run a notebook
Always Activate the Virtual Environment first!
(This way you will never run into problem with crashing your root Python / Anaconda installation)
Run:
source activate data-x
(on Windows: activate data-x)
every time you open a new terminal window.
The word within the parenthesis at the start of every line in the command
prompt indicate what Virtual Environment you have activated
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How to Install packages into your Virtual Environment
Anaconda comes with many packages pre-installed, but if you
want to install additional packages (or update existing ones)
you can run:
Install a package by running:
conda install [package name]
Install packages by running:
conda install [pkg1] [pkg2] [pkg3]
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Required packages
The packages you need can be installed by running the
command below:
Install a package by running:
conda install html5lib py-xgboost
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Installing packages not available via conda
Some packages are not available via conda, instead you can
visit https://anaconda.org/ (Anaconda Cloud, a package
management service) and search for the package you want
to install. Here you can usually find any Python package for
your specific machine settings.
Install a package by (for example) running:
conda install -c conda-forge [PACKAGE-X]
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Run your first notebook
Anaconda comes with Jupyter notebooks installed.
In order to run Jupyter notebook, open the terminal, source your Virtual
Environment, cd into the specific working directory and then run the command:
jupyter notebook
A new browser window with your current directory will open and you can create a
new notebook or open an existing one.
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Troubleshooting / In-depth explanations
Please refer to the material below and / or Google if you encounter any
problems or would like a more in-depth explanation:
•https://machinelearningmastery.com/setup-python-enviro
nment-machine-learning-deep-learning-anaconda/
•https://medium.com/k-folds/setting-up-a-data-science-envi
ronment-5e6fd1cbd572
•https://drivendata.github.io/pydata-setup/
OPTIONAL Install pyspark for Big Data locally:
http://mortada.net/3-easy-steps-to-set-up-pyspark.html
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Good Luck!
