![]() ![]() You might want to put Anaconda to your system path, so it will use Anaconda’s Python as the default python distribution. ![]() Downloading and Installingĭownload the right installer for your OS type (Window, OSX, Linux), OS version(32- or 64 bit), and Python version(2.7 or 3.5)įollow the instructions to install Anaconda If you did not start to use it yet, I highly recommend you a try. In this post, I describe some basic knowledge on Anaconda I have learned through my experience. ![]() Anaconda not only comes with various packages that I would like to use, such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and Jupyter/IPython, but also provides more functionalities, like creating and managing environments, installing and updating packages, and so on. I decide to give Anaconda (by Continuum Analytics) a try, what it provides far exceed my expectation and I feel guilty did not try it earlier.Īnaconda is a free, cross-platform, and easy-to-install all-in-one analytic/scientific Python platform. Then I followed the directions in the documentation, which instructed me to issue the following Bash command whether I was in the Bash shell or not: $ bash Anaconda3-5.1.0-Linux-x86_64.As more and more Python packages I need to install for my daily work and learn, I get tired of searching and installing individual packages, especially on my Window system, like what I did in how to install scientific Python packages on Windows. ![]() To install Anaconda on my Linux laptop (an I3 with 4GB of RAM), I downloaded the Anaconda 5.1 Linux installer and ran md5sum to verify the file: $ md5sum Anaconda3-5.1.0-Linux-x86_64.sh The documentation is incredibly detailed and there is an excellent community of users for additional support. The default environment is Python 3.6, but you can also easily install Python 3.5, Python 2.7, or R. I recommend using Anaconda Navigator, a desktop graphical user interface (GUI) system that includes links to all the applications included with the distribution including RStudio, iPython, Jupyter Notebook, JupyterLab, Spyder, Glue, and Orange. As Anaconda's website says, "The Python and R conda packages in the Anaconda Repository are curated and compiled in our secure environment so you get optimized binaries that 'just work' on your system." The distribution comes with more than 1,000 data packages as well as the Conda package and virtual environment manager, so it eliminates the need to learn to install each library independently. I appreciate that Anaconda eases the frustration of getting started for new users. It is easy to download and install, and it is supported on Linux, MacOS, and Windows. As I was trying to work through the challenges of installing data science packages like NumPy and Matplotlib and solving the various dependencies, I learned about the Anaconda Python distribution.Īnaconda is a complete, open source data science package with a community of over 6 million users. When I took Udemy courses on the R and Python programming languages, I downloaded and installed the applications independently. Like many others, I've been trying to get involved in the rapidly expanding field of data science. ![]()
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