WEkEO is the EU Copernicus DIAS reference service for environmental data, virtual processing environments and skilled user support. The data delivered by the Sentinel satellites can be accessed through points called DIAS (for “Data and Information Access Services”). Thanks to initiatives like the EU’s Copernicus Pro gramme, we have seen the launch of the Sentinel satellites, a ground-breaking achievement that delivers a huge data boost from space.Īt this very moment, the Sentinel satellites are in orbit hundreds of kilometres above the planet, beaming down a constant flow of freely available data (16 TB/day) on our environment for us to use. Our ability to harness the power of Earth observation data from satellites is increasing at a phenomenal rate. This open-source library will undoubtedly expand big data analytics literacy in Earth observation and data science, as well as kickstart training for the next generation of users. WEkEO provides free online access to all Copernicus datasets and features the Jupyter Lab, where you can develop and test your notebook. With your help, we aim to build a community-driven resource of notebooks on the Copernicus WEkEO online platform that will empower others to start their own journeys with Earth observation data. Show us your creative approach to developing a notebook that captures the potential of Copernicus environmental data. Share your environmental story, a visualisation of climate data, or even a how-to on new machine learning techniques. Thus, if you have experience in coding, data science or Earth observation, you could contribute to increasing the availability and accessibility of Copernicus data. And the best notebooks will win cash prizes.Īccessing and fully utilising Earth observation data can be difficult, at least, to begin with, this is where the Jupyter Notebook Competition comes in. In the middle of the page, in the Jupyter notebook tile, click Ī Jupyter file browser will open in a web browser tab.For this competition, we are calling on bright minds from around the world to showcase their skills and develop new Jupyter Notebooks using Copernicus data that will help others understand and work with this data. Open Anaconda Navigator using the Windows start menu and select ->. Anaconda Navigator comes with the Anaconda distribution of Python. One additional way to open a Jupyter notebook is to use Anaconda Navigator. ![]() This web browser page is a Jupyter notebook. You will see a new tab open in your web browser. If a web browser doesn't open automatically, you can copy the web address from the Anaconda Prompt and paste it into a web browser's address bar. Ī web browser should open, and you should be able to see the Jupyter file browser. The output in the Anaconda Prompt will look something like the output shown below:Ĭopy/paste this URL into your browser when you connect. This command starts the Jupyter notebook server. The Anaconda Prompt window should look something like the image below.Īt the Anaconda Prompt type: > jupyter notebook Download Anaconda at the following link: /distribution If you don't see the Anaconda Prompt in the Windows Start Menu, then you need to install the Anaconda distribution of Python. Go to the Windows start menu and select under. ![]() Then click the run button in the middle of the menu at the top of the notebook.Īnother method to open a Jupyter notebook is to use the Anaconda Prompt. Try typing the code below in the first cell in the notebook to the right of the In : prompt: import this In the upper right select -> Ī new notebook will open as a new tab in your web browser. This action opens the Jupyter file browser in a web browser tab. Open the Windows start menu and select -> ![]() Note that the Anaconda distribution of Python must be installed to use the Windows Start Menu to open a Jupyter notebook. One way to open a Jupyter notebook is to use the Windows Start Menu. On Windows, a Jupyter notebook can be started from the Anaconda Prompt, the Windows start menu and Anaconda Navigator. Jupyter notebooks contain Python code, the output that code produces and markdown cells usually used to explain what the code means. One way problem solvers can write and execute Python code is in Jupyter notebooks. In this section, you will learn how to open a Jupyter notebook on Windows and MacOS. Opening a Jupyter Notebook Opening a Jupyter Notebook Problem Solving with Python Book Construction Open a Jupyter Notebook with Anaconda Navigator Open a Jupyter Notebook with the Anaconda Prompt Open a Jupyter notebook with the Windows Start Menu
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