Anaconda Starter Guide Cheat Sheet
Anaconda_Starter_Guide_CheatSheet
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ANACONDA DISTRIBUTION STARTER GUIDE See full documentation for Anaconda Distribution: docs.anaconda.com/anaconda/ BEFORE STARTING Why do I need Anaconda Distribution? Many scientific packages require a specific version of Python to run. It’s difficult to keep various Python installations on one computer from interacting and breaking, and harder to keep them up-to-date. Anaconda Distribution makes management of multiple Python versions on one computer easier, and provides a large collection of highly optimized, commonly used data science libraries to get you started faster. What is Anaconda Distribution? An easy-to-install collection of high performance Python libraries along with Conda, our tool for managing packages and environments. Beyond the collection of open source packages in the Anaconda installer, you can use Conda to install over 1.5k packages (including the R language) from the Anaconda public repository and more than 20k packages from community channels, such as Conda-forge and bioconda. What is Miniconda? Miniconda is Conda and its dependencies. With Miniconda, you can build your environments from scratch by installing only the packages needed to run the Conda command. It’s a much smaller installer, typically used with an active internet connection. conda install PACKAGENAME Example: conda install anaconda-navigator DOWNLOADING Will it work on my machine? Anaconda Distribution is available for Windows 7 and newer, macOS 10.10 and newer, or any Linux distribution with a glibc version greater than 2.12 (CentOS 6). Anaconda requires 3GB of free hard drive space, while Miniconda needs only 400 MB. Quick install https://docs.anaconda.com/anaconda/install Getting started with Anaconda https://docs.anaconda.com/anaconda/user-guide/getting-started Take the Conda test drive conda.io/docs/test-drive.html EXPLORING Packages included in Anaconda 4.4+, or install with "conda 1. NumPy numpy.org N-dimensional array for numerical computation 2. SciPy scipy.org Scientific computing library for Python 3. Matplotlib matplotlib.org 2D Plotting library for Python 4. Pandas pandas.pydata.org Powerful Python data structures and data analysis toolkit 5. Seaborn seaborn.pydata.org/ Statistical graphics library for Python 6. Bokeh bokeh.pydata.org Interactive web visualization library install PACKAGENAME" 7. Scikit-Learn scikit-learn.org/stable Python modules for machine learning and data mining 8. NLTK nltk.org Natural language toolkit 9. Jupyter Notebook jupyter.org Web app that allows you to create and share documents that contain live code, equations, visualizations and explanatory text 10. R essentials https://docs.anaconda.com/anaconda/ user-guide/tasks/use-r-language 80+ of the most used R packages for data science can be installed with “conda install r-essentials” R package list https://docs.anaconda.com/anaconda/ packages/r-language-pkg-docs CONTINUED ON BACK → ANACONDA NAVIGATOR CHEAT SHEET See full documentation for Anaconda Navigator: docs.anaconda.com/anaconda/navigator/ BEFORE STARTING What is Anaconda Navigator? A graphical interface for launching common Python programs without having to use command lines. It can also be used to install packages and manage your environments. DOWNLOADING Will it work on my machine? Anaconda Navigator is available for Windows, macOS or Linux. Navigator is automatically installed with Anaconda Distribution. Follow the graphical install instructions docs.anaconda.com/anaconda/install Open Anaconda Navigator On Windows, the installer will create a Start menu shortcut for Navigator. On macOS, if using the GUI (.pkg) installer, you’ll get an icon for Navigator in Launchpad. On Linux or macOS installed via .sh installer, open a terminal and enter this command: anaconda-navigator MORE RESOURCES Community support bit.ly/anaconda-community EXPLORING Training anaconda.com/training Consulting anaconda.com/anacondaconsulting Take Data Science to Your Organization Anaconda Enterprise extends Anaconda Distribution by enabling data science teams to build, train, and deploy models at speed and scale, while fulfilling IT governance and security needs. Learn more at www.anaconda.com/enterprise Follow us on Twitter @anacondainc and join the #AnacondaCrew! Connect with data scientists and developers and contribute to the open source movement at anaconda.com/community. anaconda.com · info@anaconda.com · 512-776-1066 v1.18
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