Python : Pandas & Altair Data Science & Visualization

Learn how to install Python 3 on Windows, including downloading from python.org, running the installer, adding Python to the system path, and verifying the installation via the command prompt.

Verify Python 3 installation on Windows by checking environment variables and the path, using command prompt to run Python, python -V, and python --version.

Explore what a Raspberry Pi is and how single board computers differ from traditional desktops, including size, cost, components, and why the Raspberry Pi sparked the single board computer movement.

Install Raspberry Pi OS on a Raspberry Pi 4 with the Raspberry Pi Imager, then enable headless wifi, set hostname, and remote desktop via xrdp.

Connect to a Raspberry Pi desktop remotely using a VNC server and RealVNC Viewer, enabling VNC on the Pi, installing the server, configuring resolution, and accessing the GUI from Windows.

Learn to install idle3, the python 3 integrated development and learning environment, on Raspberry Pi with Raspbian, update repositories, install idle3, and verify by launching Python 3 idle.

Turn your Raspberry Pi 4 into a portable touchscreen tablet with the sunfounder raspad 3 by assembling the display, GPIO ribbon, cooling fan, power, and ports.

Learn to set up Python 3 on Windows, write a hello world program, and run it via the Python shell or command prompt to see the output.

compare interpreter mode and scripting mode in python 3, highlighting interactive prototyping in memory versus saving and running script files for larger data science tasks.

Launch idle on a Raspberry Pi from the terminal or programming section to access the Python shell and write and save .py programs.

Explore the Python package index PyPI and the pip tool to browse, download, and install thousands of third party libraries, embracing the batteries included philosophy and contributing your own packages.

Open an admin command prompt, install NumPy with pip, then install Matplotlib with pip on Windows, and verify by importing NumPy and Matplotlib in Python.

Install NumPy and Matplotlib on a Raspberry Pi, upgrade NumPy via pip3, and verify installations by importing the libraries in Python 3 to enable numeric and scientific programming.

Learn IPython and the Jupyter notebook, a web-based interactive computing environment that runs Python and other languages, allowing rich text, markdown, and inline visualizations.

Learn to install Jupiter on a Raspberry Pi, resolve dependencies, install the required kernel and prompt toolkit versions, and launch and verify the Jupiter notebook server.

Download the 64-bit putty installer from putty.org, run the setup on Windows, and add putty to the environment variables if needed, then verify by typing putty.

Learn how to start and use a Jupiter notebook, connect remotely, and manage notebooks with creating, running, saving, renaming, exporting, and markdown features for interactive coding.

Explore numpy ndarrays, learn indexing and slicing for 1d, 2d, and 3d arrays, including element access, slicing tricks, and handling out-of-bounds errors.

Explore ndarray properties by creating a 3d ndarray, and inspect shape, dimensions, data type, size, and bytes, then compute its transpose.

Explore NumPy's mathematical and scientific constants, including infinity, not a number, positive and negative infinity, positive zero and negative zero, and key constants like e, pi, and gamma.

Create and customize matrices of ones, zeros, and diagonals using functions such as empty, ones, zeros, identity, and full, including shifted diagonals and multi-dimensional arrays for scientific computing.

Generate one- and multi-dimensional random arrays with numpy, using low and high bounds and size, including 3x3 and 5D matrices for random noise in signal processing.