Geospatial Python Tutorial - Part 1

May 03, 2019 | category 👉 python, GIS, cartography, remote sensing, image processing

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Setup Jupyter Notebook’s working directory

We already setup our python environment in this tutorial, so let move forward to the next step where we going to setup our working directory. For this tutorial I will using Jupyter Notebook, but before that lets setup and prepare our workspace.

First, lets check a list of available environment within Anaconda. From previous tutorial we already created an environment called ‘geopy’. Type this command in the Anaconda terminal to check our environment:

conda env list

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As you can see, the output will be a list of available environment. OK, lets activate the ‘geopy’ environment.

conda activate geopy

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We are in our ‘geopy’ environment now and next we will create a configuration file jupyter_notebook_config.py. Create this file using following command line:

jupyter notebook --generate-config

Check that file in your home directory, usually for Windows user it is in %userprofile%/.jupyter. In my case it is in C:\Users\lerryw\.jupyter, open jupyter_notebook_config.py and edit the line with # c.NotebookApp.notebook_dir. Remove # sign and write the working directory at the end of the line.

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For this tutorial I have created a folder named C:\PythonTutorial and I need the notebook server to be run within this directory.

So now we can start running the Jupyter Notebook by following command line:

jupyter notebook

The notebook server address will be directed to http://localhost:8888/tree and it will open automatically in your favourite browser.

Viola..! now you can start working in Jupyter Notebook.

Create a new notebook by clicking a New button then select Python 3 png

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