Close Anaconda Navigator and launch Anaconda Prompt. Jupyter Notebook documents take statements similar to REPL additionally it also provides code completion, plots, and rich media. Now that we have installed Anaconda, let’s get Keras and Tensorflow in our machine. 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. On Windows, open an Anaconda Prompt and run where python On macOS and Linux, open the terminal and run which python To see which packages are installed in your current conda environment and their version numbers, in your terminal window or an Anaconda Prompt, run conda list. Additionally, it provides access to over 720 Python and R packages that can easily be installed using the conda dependency and environment manager, which is included in Anaconda. In this article you have learned how to install Anaconda distribution on windows and using Jupyter notebook. The open source version of Anaconda is a high performance distribution and includes over 100 of the most popular Python packages for data science. 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. how to install Beautiful Soup in Anaconda on Windows 10 / and on Linux in windows it should run like so: Run the following command from Command Prompt: conda install -c anaconda. 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.
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