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1. Pip install jupyter notebook how to#
2. Pip install jupyter notebook code#
3. Pip install jupyter notebook license#

Pip install jupyter notebook license#

You will now be guided through the regular steps of installing third-party software, including reading the end user license agreement and choosing a directory for the application. Once the download is complete, navigate to your Downloads folder and click on the. pkg file, which may take a minute or so to complete. With that out of the way, click on the download button below the Python 3.7 Version header. The only time you should ever use Python 2 is if you’re working on a legacy project that is already built on Python 2 (and therefore not compatible with Python 3). If you’re learning Python today or building a new project, you should always use Python 3. What are the differences between Python 2.7 and Python 3.7? Like most technologies, Pyhton is continuously improved over time and they make small changes regularly to improve the programming language. Note that these versions may change after this course is published. This will bring you to a page asking you to select between the Python 3.7 and the Python 2.7 version of Anaconda. The easiest way to do this is by running a Google search for something like “download anaconda python.” I navigated to the first link on this search:Ĭlick the large ‘Download’ button to proceed.

Pip install jupyter notebook how to#

With that out of the way, let’s dig in to how to install Anaconda! How to Install Anaconda Once that install has been completed, you can open a Jupyter Notebook using the following command: If you want to use the Jupyter Notebook but NOT Anaconda, you can install the Jupyter Notebook application using the following command:

Pip install jupyter notebook code#

If you’re an experienced Python user and want to skip using both Anaconda and the Jupyter Notebook, please feel free to use a different environment of your choice (like VS Code or vim). A Word For Experienced Developersīefore we dig in, it’s worth noting that you do not necessarily need to use Anaconda to benefit from this course.

Anaconda makes sure they work well together!Īnaconda also comes with the Jupyter Notebook application installed, which is the environment that we will be using to run and test our code. Said differently, some of the more complex libraries that we’ll be using in this course have certain dependencies. A distribution ensures that these libraries work well together.

That probably doesn’t mean very much unless you’re already a Python expert.so let’s define what a distribution is, too.Ī distribution contains various Python libraries (which are chunks of code that help you build applications). What is Anaconda? Anaconda is a distribution of Python. Before we can begin this course, you’ll need to download Anaconda.