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Libraries.md

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import seaborn as sns
color = sns.color_palette() - This returns a list of colors or a continuous colormap defining a palette.
sns.color_palette('pastel') - shows a list of pastel shades! try it out, gurl!!

Shell or Command Shell - A command line interface to your computer. It can be used to:

  • start and stop processes that run programs
  • create and delete files and directories (a.k.a folders)
  • set environment variables
  • manage processes and process resources
  • automate tasks.
  • Windows - cmd, power shell, Unix - bash, MacOS - tcsh.

IPython - A powerful toolkit with an interactive python shell + a Jupyter Kernel.

  • IPython kernel helps with displaying plots that are outputs of jupyter code cells. It is designed to work with matplotlib library.
  • Before plotting anything, use the magic function %matplotlib to set up the inner workings of IPython with matplotlib.
  • If we use the %matplotlib magic function without any parameter, then by default, the plot is shown using the default matplotlib backend - outside the notebook on a separate window.
  • If we use %matplotlib inline, the plot is shown using the inline backend, which places it immediately below the code cell, and can be stored as part of the notebook document.
  • Can be used to try out short sequences of commands.
  • IPython interpreter can be launched by typing ipython on the command line. If on Anaconda, there might be a separate launcher.

Jupyter notebook is used for longer interactive analysis, and interactive development environments (IDEs) like Emacs or VSCode, are used for creating resuable python packages.

  • A browser-based GUI to the IPython shell + builds a rich set of dynamic display capabilities on it.
  • Apart from Python/IPython statements, Jupyter notebooks allow formatted text, static and dynamic visualizations, mathematical equations, JavaScript widgets, etc.
  • The notebooks open and run on a browser, but they first connect to a running Python process (called kernel) in order to execute code. This is done by running "jupyter lab" in the system shell, or starting a Jupyter notebook from Anaconda or a standalone installation.

IPython/Jupyter both, help in answering complicated questions:

  • the ? character is used to explore documentation
  • the ?? characters to explore source code
  • the tab key for autocompletion.

Magic functions!
%matplotlib inline -