Anaconda Ok and Dont Show Again

In this postal service, I nowadays step-by-pace instructions for installing Anaconda, a Python package manager for data science, and a number of included data science Python packages, including Spyder and Jupyter Notebook.

What is Anaconda?

If you want to exercise some data science with Python, it is highly recommended that you employ Anaconda .  Co-ordinate to the Anaconda website , "Anaconda® is a packet director, an environment manager, a Python/R data science distribution, and a collection of over 1,500+ open source packages."  Then, what that means is that it looks later on installing and managing various Python packages for data science in an easy-to-use manner. It's way easier than dealing with all the interactions and dependencies betwixt the various versions of those packages.

Why do you want to use Anaconda?  Once more, co-ordinate to the Anaconda Starter Guide :

Many scientific packages require a specific version of Python to run. It's difficult to go on diverse 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 calculator easier, and provides a large drove of highly optimized, normally used data science libraries to get you lot started faster.

What is included with Anaconda?  From that Starter Guide, here's the highlight of some of the things that are either installed with Anaconda, or can be installed with Anaconda:

• NumPy: scientific computer library for Python
• SciPy: scientific computing library for Python
• Matplotlib:2D plotting library for Python
• Pandas: powerful Python data structures and data assay toolkit
• Seaborn: statistical graphics library for Python
• Bokeh: interactive web visualization library
• Scikit-Larn: Python modules for machine learning and data mining
• NLTK: natural language toolkit
• Jupyter Notebook: web app that allows you to create and share documents that contain live code, equations, visualizations and explanatory text
• R essentials: lxxx+ of the most used R packages for data scientific discipline

That'south just a few of the highlights. There are over 1500 packages that can be installed with Anaconda.

This post leads you through the steps to install Anaconda on a reckoner running the Debian Linux distribution.  My Debian box (actually, a Vagrant Virtualbox VM running Debian) uses the XFCE desktop environment; you'll need some GUI to utilize Anaconda.  But, you can also use the command-line based "conda" program if you don't want a GUI.

Installing Anaconda

The Anaconda website is at https://world wide web.anaconda.com .  The documentation for it is at https://docs.anaconda.com/anaconda/ . Y'all tin can detect the downloads at https://www.anaconda.com/distribution/ ; at the time of this writing, the latest version for Linux is Anaconda 2018.12.  I'm going to employ the Python 3.7 version; if you want to utilise the Python two.7 version, download that instead.  You tin see all the downloads at https://repo.anaconda.com/archive/ .  Either download the installer with your browser, or download information technology from a Terminal window.  I downloaded information technology from a Terminal window.

Open a Terminal window on the GUI, and download the latest 64-bit version of the Anaconda installer:

                wget                                https://repo.anaconda.com/archive/Anaconda3-2018.12-Linux-x86_64.sh              

It's quite big (652.5M), so it takes a while to download.

Installation instuctions are at https://docs.anaconda.com/anaconda/install/linux/ .  To install:

                bash Anaconda3-2018.12-Linux-x86_64.sh              

Be sure you execute this in the directory that you downloaded the file to!

• Printing enter to review the license agreement, hitting space to curl through the agreement.  When asked if you lot take the license terms, type yes and press enter to accept.

• Press enter to confirm the install location of /home/ username /anaconda3 (for me, my username is vagrant)

• The installer now installs a number of packages, and and then asks if you lot want the installer to initialize Anaconda in your .bashrc file

• Typically, you lot'll desire the installer to update your .bashrc file.  Type yes and press enter to practice so. You might not desire information technology to if you accept multiple installations of Anaconda, simply that'due south pretty rare.
• After your .bashrc file is updated, you'll be asked if yous want to install Microsoft VSCode.

• I'one thousand not going to install it.  Type no and printing enter to Not install Microsoft VSCode.  Notation: if yous want to install it, y'all would need to run the installer as root.

• Close and re-open up the Terminal window so that the changes to your .bashrc file are read in.

You can cheque for successful installation by running "anaconda-navigator" from the terminal.

anaconda-navigator

When it starts upwardly, yous'll be asked if you want to provide anonymized usage information.  If you're OK with that, click the "OK, and don't show again" button (otherwise, it asks every fourth dimension you lot get-go it up); if not, uncheck the "Aye, I'd like to help ameliorate Anaconda." checkbox, then click the "OK, and don't bear witness once more" button.

And here's Anaconda Navigator in all its glory!

Observe the applications that take been installed.  I've got:

• Jupyter Lab 0.35.3
• Jupyter Notebook 5.7.4
• Jupyter Qt console 4.four.3
• Spyder 3.iii.2

Exit anaconda-navigator (File / Quit).  If told that Anaconda Navigator is still busy, click Yes to exit.

The installer and the packages that it includes are quite large.  Let's free up some space now. First, delete the file Anaconda3-2018.12-Linux-x86_64.sh.

rmAnaconda3-2018.12-Linux-x86_64.sh              

Then, using conda, the control line version of Anaconda, remove the downloaded parcel installers.  From the Final, run:

                conda clean --tarballs              

Yous'll be given a list of all of the parcel installers that volition be deleted, every bit well as the size of those files.  You'll and so exist asked whether to continue; type y and press enter to delete them.

Updating packages installed with Anaconda

Now, let'south make sure we've got all of the latest versions of packages that have been installed with Anaconda.  But, rather than using Anaconda, we'll utilize the control line version, conda. The reason for this is you need to update packages ane at a fourth dimension with Anaconda; with conda, you can update everything at once.

In your Final window, execute:

                conda update --all              

This will bank check to see which packages tin exist updated, listing them, and ask you lot to proceed.  Type y and press enter.

Subsequently doing this, free upward space once more:

                conda clean --tarballs              

And, you've now got Anaconda installed and up-to-date!

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Source: https://shanemcd.org/tag/anaconda/

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