![]() To do this, visit the Anaconda with Python 3 on 64-bit Linux page, and find the version you’ve downloaded. Now it’s time to check against the hash shown in the Anaconda Docs, under hashes for Python 3, for my version. In my case, when checking the latest version at the time of writing, the command looks like this: $ sha256sum Anaconda3-2018.12-Linux-x86_64.sh While still in the /tmp directory, run the sha256sum command to verify your script’s checksum. Once the script has been downloaded, it’s recommended that we check the file’s integrity by verifying the script’s hash via the sha256sum command, after which we’ll check the hash that the command returns against the hash shown on the Anaconda website. $ wget Step 2 – Verify the Installer Script’s Integrity In our example, I’ll be downloading Anaconda 2018.12 with Python 3.7. To keep things clean, let’s change our directory to /tmp and download the script there. Do keep this in mind if you intend on copy pasting the following commands. NOTE: As you can see, at the time of writing, the latest version is Anaconda 2018.12. To locate the script for the latest version of Anaconda, visit the Anaconda Downloads Page and retrieve the first download link – either from the big Download button or the link under it, corresponding to your preferred Python version. We’ll install Anaconda via the bash installation script made available on the Anaconda website. Step 1 – Download the Anaconda Install Script Step 4 – Verify the Anaconda Installation.Step 3 – Run the Anaconda Installer Script.Step 2 – Verify the Installer Script’s Integrity.Step 1 – Download the Anaconda Install Script.Jupyter Notebook documents take statements similar to REPL additionally it also provides code completion, plots, and rich media. ![]() Jupyter Notebook is an interactive web UI environment to create notebook documents for python, R languages. Anaconda is the most used distribution platform for python & R programming languages in the data science & machine learning community as it simplifies the installation of packages like pandas, NumPy, SciPy, and many more. In this article you have learned how to install Anaconda distribution on windows and using Jupyter notebook. I have tried my best to lay out step-by-step instructions, In case I miss any or If you have any issues installing, please comment below. This completes installing Anaconda on windows and running Jupyter Notebook. On Jupyter, each cell is a statement, so you can run each cell independently when there are no dependencies on previous cells. ![]() Now select New -> PythonX and enter the below lines and select Run. This opens up Jupyter Notebook in the default browser. It will take a few seconds to install Jupyter to your environment, once the install completes, you can open Jupyter from the same screen or by accessing Anaconda Navigator -> Environments -> your environment (mine pandas-tutorial) -> select Open With Jupyter Notebook. Once you create the anaconda environment, go back to the Home page on Anaconda Navigator and install Jupyter Notebook from an application on the right panel. Select + Create icon at the bottom of the screen to create an Anaconda environment. If you already have an environment, you can use it too. This gives complete segregation of different package installs for different projects you would be working on. ![]() 2.2 Create an EnvironmentĬreating an environment is optional, but recommended to create an environment before you proceed. 2.1 Open Anaconda NavigatorĪnaconda Navigator is a UI application where you can control the Anaconda packages, environment e.t.c, Open it from windows start or by searching it. For example, you may have one environment with NumPy 1.7 and its dependencies, and another environment with NumPy 1.6 for legacy testing. Create Anaconda EnvironmentĪ conda environment is a directory that contains a specific collection of conda packages that you have installed. This completes the installation of Anaconda distribution, now let’s see how to create an environment and install Jupyter Notebook. ![]()
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