Complete Python & Matplotlib Data Visualization

Name: Complete Python & Matplotlib Data Visualization
Rating: 4.1 (48 reviews)

Learn Python 3 Data Visualization: Jupyter, NumPy, and Matplotlib in a single course, Create awesome visualizations

Created byAshwin Pajankar • 85,000+ Students Worldwide

Last updated 7/2022

English

What you'll learn

Prepare excellent Visualizations
Publications and Printing quality Visualizations
3D Visualizations
Image Processing with NumPy and Matplotlib
Add Matplotlib and NumPy in resume
Appear for interviews confidently

Course content

24 sections • 86 lectures • 10h 10m total length

Objectives, Expected Audience, and Prerequisites of the course8:27
Discover the course objectives, audience, and prerequisites for visualizing data with Python and Matplotlib, including the scientific Python ecosystem, Jupyter notebooks, and interview-ready skills.
Course Contents and Topics Overview4:15
Explore the Python ecosystem with NumPy and Matplotlib, install and run Python on Windows and Raspberry Pi, set up Jupyter notebooks, and develop 2D and 3D visualizations and image processing.
Please do leave your feedback0:59
Scientific Python 3 Ecosystem6:15
Explore the core Python scientific stack, including NumPy, SciPy, Matplotlib, SymPy, Pandas, and IPython, plus essential add-ons like scikit-image, scikit-learn, and Jupyter for data analysis.
What is Matplotlib?3:53
Visualize data with Matplotlib, a Python visualization library that supports sophisticated and basic plotting, including 3D capabilities, with a Matlab-like interface, and requires few lines of code in notebooks.
PDF of URLs of projects in the Scientific Python 3 Ecosystem0:04

What is Raspberry Pi?5:55
Explore Raspberry Pi, the bestselling credit-card size single board computer embedded on a PCB, with non-upgradable design and GPIO, USB, HDMI ports.
Raspberry Pi OS Setup27:11
Remote Desktop with VNC12:30
Install IDLE3 on Raspberry Pi Raspbian2:50
Open the command prompt on Raspberry Pi running Raspbian, run sudo apt-get update, then sudo apt-get install idle3. Verify by launching Python 3 from the programming section.
Python 3 on Raspberry Pi7:01
Discover how to run Python 3 on Raspberry Pi, invoke the Python 3 interpreter, explore IDEs and shells, and write and execute a hello world program.
Additional Software for Remote Connection14:38
Explore additional software for remote connection to Raspberry Pi, including putty and mobile system, highlighting remote command line access, remote file transfer, and X11 forwarding with an all-in-one solution.
Turn your Raspberry Pi 4 into a portable tablet with Raspad 33:32

Jupyter and IPython12:48
Explore IPython and Jupyter as interactive notebooks that run in the browser and render Markdown and rich outputs. See how language-agnostic kernels extend Python to many languages for data visualization.
Install Jupyter on Windows PC6:31
Install Jupyter on Windows via an admin command prompt, install with pip, configure antivirus exceptions, launch the notebook, create and run a hello world notebook, then save and shut down.
Install Jupyter on Raspberry Pi6:36
Install Jupiter on Raspberry Pi and resolve dependencies, including the prompt toolkit 2.0. Then launch the Jupiter notebook server and verify the installation in a browser.
Install PuTTY on Windows PC4:01
Remote Connection to Remote Notebook Server7:59
A brief tour of Jupyter22:02
Learn how to start and connect to a Jupiter notebook, set a project root, write and run Python cells, and save, rename, and share ipynb notebooks from a Raspberry Pi.
List of commands used in this section0:03

What is NumPy4:53
NumPy provides the foundation for scientific computing in Python with a powerful multidimensional array object and fast numerical operations used by image and signal processing libraries.
Ndarrays, Indexing, and Slicing20:55
Ndarray Properties6:59
NumPy Constants2:51
Explore NumPy constants such as inf, -inf, nan, and zero, and review key mathematical constants like e and gamma using a simple notebook demonstration.
NumPy Datatypes0:03

Ones and Zeros8:23
Matrices4:59
Explore routines to create lower and upper triangular matrices filled with ones, shift diagonals, and visualize 5x5 examples to understand how diagonal position affects matrix structure.
Numerical Ranges and Visualizations15:54
Explore numerical ranges in Python and visualize them with matplotlib, using range, linspace, logspace, and geometric space to generate x and y data, apply transformations, and customize plots.

Requirements

Basic Knowledge of Computers and Mathematics
A Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to Learn
Burning desire to take your career to the next level

Description

Become a Master in Data Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! A great data visualization engineer earns more than $150000 per year!

This is the most comprehensive, yet straight-forward course for the Data Visualization with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of matplotlib and NumPy with Python 3, this course is for you! In this course we will teach you Data Visualization with Python 3, Jupyter, NumPy, and Matplotlib.

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 85 lectures and more than 10 hours of video this comprehensive course leaves no stone unturned in teaching you Data Visualization with Python 3!

This course will teach you Data Visualization in a very practical manner, with every lecture comes a full programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, and Jupyter installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

Basics of Scientific Python Ecosystem
Basics of Digital Image Processing
Basics of NumPy and Matplotlib
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
NumPy Ndarrays
Array Creation Routines
Basic Visualization with Matplotlib
Ndarray Manipulation
Random Array Generation
Bitwise Operations
Statistical Functions
Plotting with Matplotlib
Other types of visualizations (bar, histograms, scatter, and bubble)
Contours
3D Visualizations (plot, mesh, and surfaces)
Advanced Concepts in Matplotlib
Basics Image Processing with NumPy and Matplotlib
and much more.....

You will get lifetime access to over 75 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures!

So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Who this course is for:

Data Scientists, Data Analysts, and Data Engineers
Mathematicians, Statisticians, Scientists, and Engineers
Image Processing and Computer Vision Professionals
Machine Learning and AI Professionals
Bioinformatics and Biostatistics professionals
Programmers and Developers
Students, Job seekers, anyone wanting to learn new stuff

Complete Python & Matplotlib Data Visualization

What you'll learn

Explore related topics

Course content

Introduction6 lectures • 24min

Python 3 On Windows2 lectures • 13min

Raspberry Pi and Python 37 lectures • 1hr 14min

Python 3 Basics5 lectures • 36min

Python Package Index and pip3 lectures • 19min

Installation of NumPy and Matplotlib2 lectures • 10min

Jupyter Notebook for Scientific Computing7 lectures • 1hr

Getting Started with NumPy5 lectures • 36min

Creation of Arrays and Matplotlib Visualizations3 lectures • 29min

Random Sampling1 lecture • 5min

Requirements

Description

Who this course is for: