Make the best of Jupyter Notebooks!
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data.
https://www.anaconda.com/download
Anaconda software helps you create an environment for many different versions of Python and its versions.
This is the best you could get to store your Python and data science material.
Installing IDE on Windows, Linux and Mac:
Install JupyterLab with pip
:
pip install jupyterlab
Once installed, launch JupyterLab with:
jupyter lab
Homebrew
Homebrew is a package manager for macOS and Linux. You can use it to install Jupyter by running:
brew install jupyterlab
Jupyter Notebook
Install the classic Jupyter Notebook with:
pip install notebook
Jupyter notebooks help you to document your whole assignments or projects in an attractive and educative way.
Jupyter Notebook for documentation:
Cells:-
There are two types of cells in a Jupyter Notebook:
1.Markdown cell
2.Code cell
Markdown cells are used to format the documentation. You can add a Heading, Bold text, Itlalics, attach links and images to your document. It helps to make tables and graphs in the code.
You can create bold text by adding two asterisks or underscores before and after a word in a sentence.
To make the headings in bold text:
Use # at the beginning of the sentence.
Something like the below image and write in the markdown and run the cell.
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You can create a table by using markdowns and make lists.
You can also attach hyperlinks, logos and images to your document.
The best Cheatsheets:
https://www.ibm.com/docs/en/watson-studio-local/1.2.3?topic=notebooks-markdown-jupyter-cheatsheet
https://images.datacamp.com/image/upload/v1676302533/Marketing/Blog/Jupyterlab_Cheat_Sheet.pdf
https://cheatography.com/datamansam/cheat-sheets/jupyter-notebook/
https://jupyter-notebook.readthedocs.io/en/stable/custom_css.html
Coding in Jupyter Notebook
Jupyter supports execution environments (called "kernels") in various languages, including R and Python (via the IPython kernel).
Coding is very easy in the jupyter notebooks.
You can also install and import packages and many other using pip install method and more by running cells.