Jupyter Notebook Complete Beginner Guide – From Jupyter to Jupyterlab, Google Colab and Kaggle!
Jupyter notebooks and python notebooks are an important tool for data science. If you want to learn about them this is the ultimate jupyter notebook guide made in 2022. In this tutorial I try to provide everything you need to know to get started with notebooks. Jupyter notebook, jupyter lab, google colab and kaggle notebooks are all covered! Rob Mulla wil guide you though this tutorial.
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This article on Jupyter notebook ties in nicely with a previous article on Scientific Writing so another really interesting article relating to this posted to the fediverse. This gives some useful tips and tricks to help you make the most of this powerful software.
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Jupyter experimentation
Further to recent videos on Jupyter notebook, I have been doing some simple experimenting to get the feel of this.]
This reat for writing and data visualisation. As the following two example screenshots show. I have not fully written the code here, but I have made modifications. The table now shows total rows and columns after I did some research and figured out how to count columns.
Presenting data as a table, using Pandas
Presenting data in graphical form, using MatPlotLib
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How to Install Anaconda (Python) and Jupyter Notebook on Windows 10
Further to my post on Jupyter notebook, I am posting a link to another tutorial on how to install Anaconda and Jupyter notebook on Windows 10.
If you are using Linux or another operating system then there are other tutorials that will cover this.
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Jupyter Notebook intro
If you are interested in Sciences and I think with this specifically data science or science generally then it seems that Jupyter notebook is very popular and powerful tool.
The following is an introductory video.
Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
If there is interest, perhaps we can look in to this at a future STEM group meeting and try and invite someone along who may be able to help explain and or demonstrate further.
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