Python 3 Pandas, Bokeh, and Seaborn Data Visualization

download and install Python 3 on Windows from python.org, choose Python 3 vs Python 2, add Python to the path, and verify the installation via the command prompt.

Verify Python 3 installation on Windows via the command prompt, ensure python path and scripts directory are set in environment variables, and check version with python -V or python --version.

Discover how Raspberry Pi, a credit-card sized single-board computer, sparked the IoT era and features processor, RAM, GPIO header, USB-C, micro HDMI, USB 2.0/3.0, and Ethernet.

Learn to install Raspberry Pi OS on a Raspberry Pi 4 using Raspberry Pi imager. Configure wifi and hostname, then access the Pi remotely via the Windows remote desktop client.

Learn to access the Raspberry Pi desktop remotely via VNC by enabling the VNC server, installing the RealVNC viewer, and connecting with the Pi's IP to use the graphical interface.

Install IDLE3 on Raspbian for the Raspberry Pi using apt-get update followed by apt-get install idle3, then verify by launching Python 3's IDLE from the programming section.

Explore how to use Python 3 on Raspberry Pi, switch from Python 2, locate Python interpreters and IDLE, and run hello world in multiple IDEs or the shell.

Explore additional tools for remote Raspberry Pi access, including Putty, WinSCP, and mobile system, to perform remote terminal work, file transfers, and X11 forwarding.

Turn a Raspberry Pi 4 into a portable touchscreen tablet using the SunFounder Raspad 3, guiding you through assembly, cooling, and connecting display, power, and GPIO ribbon.

Learn to write and run a hello world program in Python 3 on Windows using the interpreter and the command prompt.

Learn to write and run a Python program on a Raspberry Pi, using Python 3, shell execution, chmod permissions, and a shebang to launch directly from the command line.

Compare Python 3 interpreter mode with scripting mode, outlining interactive prototyping, memory-resident execution, and saving code to a script file for cron-enabled automation.

Explore IDLE on the Raspberry Pi, via terminal or menu. Learn the interactive Python shell, saving .py files, and editing with indentation, commenting, and trimming whitespace.

Contrast Raspberry Pi 3 Model B Plus with MacBook Pro and a custom built computer to compare specs, power, and practical use cases for data visualization and learning.

Explore PyPI, the Python package index, an online repository of third-party libraries that supports Python’s batteries included philosophy, and learn to download, install, and contribute packages using pip.

Learn how to use pip on Windows to manage Python packages. Upgrade pip, list installed utilities, search the Python package index, and install or uninstall packages from the command line.

Upgrade pip3 on the Raspberry Pi and manage Python packages by listing, searching, installing, and uninstalling with sudo when required.

Install numpy and matplotlib on Windows using pip, run in an admin command prompt, and verify installation by importing them in Python.

Learn to install numpy and matplotlib on a Raspberry Pi, upgrade numpy via pip3, and verify installations by importing numpy and matplotlib in Python 3.

Explore IPython and Jupyter notebooks for interactive computing, visualization, and language-agnostic workflows. Discover how web-based notebooks embed code, text, Markdown, and outputs to support teaching and collaboration.

Install and run Jupyter on Windows via an admin command prompt, launch notebooks, create and save a Python notebook, and run a simple hello world program.

Install Jupyter on Raspberry Pi, resolve IPython kernel dependencies, install prompt toolkit, and launch and verify the notebook server and browser on the Raspberry Pi.

Install and verify PuTTY on Windows by downloading the 64-bit installer, running the setup with admin privileges, and adding PuTTY to the environment PATH for easy access.

Connect to a remote Jupyter Notebook running on a Raspberry Pi in headless mode from a Windows PC via SSH tunneling, using a token and browser access for Python development.

Learn to start and access a Jupyter notebook server on a Raspberry Pi or Windows, create and run Python notebooks, use code and markdown cells, and save or download results.

Discover NumPy, the fundamental Python package for scientific computing, introducing the ndarray data structure, multidimensional arrays, and essential operations used by image and signal processing libraries.

Create and manipulate NumPy ndarrays in Python, from 1D to 3D multidimensional arrays, and learn indexing, slicing with colon notation, printing, and out-of-bounds awareness.

Explore ndarray properties by inspecting shape, number of dimensions, data type, size, and bytes, and compute the transpose of a three dimensional ndarray.

Explore NumPy's mathematical and scientific constants, including infinity, NaN, positive and negative zero, and key constants like e and gamma, by printing and inspecting their values.

Learn how to create zeros, ones, identity, and full matrices, shift diagonals with k, and build empty and multi-dimensional arrays with specific dtypes for 2d, 3d, and beyond.

Explore routines to create upper and lower triangular matrices in Python, filling diagonals with ones and shifting the diagonal by k, with examples of 5x5 matrices.

Matplotlib provides a Matlab‑like interface for Python to create bar charts, scatter plots, power spectra, and more with lines of code, and it runs in IPython/Jupyter as an open-source tool.

Explore numerical ranges and visualization techniques in a Jupyter notebook, using linspace, arange, logspace, and geometric spacing to plot multiple lines with titles and optional axis off.

Generate random arrays with numpy's random functions. Create a size 10 one-dimensional array with values 0 to 9, a 3x3 matrix, and a 2x2x2x2x2 array for random data and noise.