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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.  \nThe open source version of Anaconda is an easy-to-install high performance Python and  \nR distribution with a package manager, environment manager and collection of 720+ open source packages with free community support.  \nWhat is Anaconda?  \nThen what is Miniconda? It's Anaconda without the collection of 720 open source packages.  \nWith Miniconda you download only the packages you want with the conda command,\" conda install PACKAGENAME\"  \nGET IT  \nWill it work on my machine?  \nYes, Anaconda is available for Windows, OS X or Linux, 32-or 64-bit, 400 MB HD available. Miniconda same but needs only 3 MB HD.  \nQuick Install It [docs.continuum.io/anaconda/install](docs.continuum.io/anaconda/install)  \nGet your condacheat sheet  \n[conda.pydata.org/docs/using/cheatsheet.html](conda.pydata.org/docs/using/cheatsheet.html)  \nTake the test drive [conda.pydata.org/docs/test-drive.html](conda.pydata.org/docs/test-drive.html)  \nNOW PLAY WITH THE WORLD'S MOST AWESOME DATA SCIENCE PACKAGES  \nPackaged included in Anaconda 4+, or get with \" conda install PACKAGENAME\"  \n[1. NumPy](1. NumPy | numpy.org)[ |](1. NumPy | numpy.org)[ numpy.org](1. NumPy | numpy.org)  \nN-dimensional array for numerical computation  \n[2. SciPy](2. SciPy | scipy.org)[ |](2. SciPy | scipy.org)[ scipy.org](2. SciPy | scipy.org)  \nCollection of numerical algorithms and toolboxes, including signal processing and optimization  \n[3. MatPlotLib](3. MatPlotLib | matplotlib.org)[ |](3. MatPlotLib | matplotlib.org)[ matplotlib.org](3. MatPlotLib | matplotlib.org)[ ](3. MatPlotLib | matplotlib.org)Plotting library for Python  \n[4. Pandas](4. Pandas | pandas.pydata.org)[ |](4. Pandas | pandas.pydata.org)[ pandas.pydata.org](4. Pandas | pandas.pydata.org)[ ](4. Pandas | pandas.pydata.org)Powerful Python data analysis toolkit  \n[5. Seaborn](5. Seaborn | stanford.edu/~mwaskom/software/seaborn/)[ |](5. Seaborn | stanford.edu/~mwaskom/software/seaborn/)[ stanford.edu/~mwaskom/software/seaborn/](5. Seaborn | stanford.edu/~mwaskom/software/seaborn/)[ ](5. Seaborn | stanford.edu/~mwaskom/software/seaborn/)Statistical data visualization  \n[6. Bokeh](6. Bokeh | bokeh.pydata.org)[ |](6. Bokeh | bokeh.pydata.org)[ bokeh.pydata.org](6. Bokeh | bokeh.pydata.org)[ ](6. Bokeh | bokeh.pydata.org)Interactive web visualization library  \n[7. SciKit-Learn](7. SciKit-Learn | scikit-learn.org/stable)[ |](7. SciKit-Learn | scikit-learn.org/stable)[ scikit-learn.org/stable](7. SciKit-Learn | scikit-learn.org/stable)  \nPython modules for machine learning and data mining  \n[8. NLTK](8. NLTK | nltk.org)[ |](8. NLTK | nltk.org)[ nltk.org](8. NLTK | nltk.org)[ ](8. NLTK | nltk.org)Natural language toolkit  \n[9. Notebook](9. Notebook | jupyter.org)[ |](9. Notebook | jupyter.org)[ jupyter.org](9. Notebook | jupyter.org)  \nWeb-based interactive computational environment combines code execution, rich text, mathematics, plots and rich media  \n[10. R essentials](10. R essentials | conda.pydata.org/docs/r-with-conda.html)[ |](10. R essentials | conda.pydata.org/docs/r-with-conda.html)[ conda.pydata.org/docs/r-with-conda.html](10. R essentials | conda.pydata.org/docs/r-with-conda.html)[ ](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\"  \nFollow us on Twitter @continuum. io and join the \\#AnacondaCrew!  \nConnect with other talented, like-minded data scientists and developers while contributing to the open source movement. Visit [htt","cbCaif64KYrrmxBG","https://ap.wps.com/l/cbCaif64KYrrmxBG","pdf",229956,"English","# Before You Start\n# Get It\n# Now Play With the World’s Most Awesome Data Science Packages\n## Included Packages","[{\"question\":\"What problem does Anaconda solve compared with installing Python manually?\",\"answer\":\"It reduces the pain of installing scientific stacks by preventing package conflicts, handling dependencies, and keeping packages updated more easily.\"},{\"question\":\"How does Miniconda differ from Anaconda?\",\"answer\":\"Miniconda is Anaconda without the full 720+ open source package collection, letting you download only the packages you need using conda commands.\"},{\"question\":\"What platforms and disk space requirements are mentioned for Anaconda and Miniconda?\",\"answer\":\"Anaconda is available for Windows, OS X, or Linux (32- or 64-bit) with about 400 MB HD available, while Miniconda needs about 3 MB HD.\"}]","Anaconda Cheat Sheet - Quick Start and Package Management Guide | PDF",1791925660]