What you would learn in NumPy, SciPy, and Matplotlib Recipes course?
Be a Master of Scientific Python and acquire employers their most demanded skills of the 21st Century! A top Scientific Python programmer earns more than $150,000 per year.
It is the most complete and easy-to-follow course available for this version of Scientific Python on Udemy! If you've never heard of SciPy, are familiar with the basic concepts of Python, or want to master the advanced capabilities of NumPy along with Python 3, this course is ideal! In this course, we'll guide you through NumPy, SciPy, Matplotlib as well as Jupyter Notebook.
With more than 100 lectures and over 10 hours of video, this complete course will leave no stone unturned in educating the students in Scientific Python!
This course will introduce you to Scientific Python in an efficient manner. Each class has a comprehensive Python 3 programming video and an accompanying Jupyter notebook with Python 3 code! Learn however you think is best for you!
We'll begin by helping you install Python3, NumPy, Matplotlib, Jupyter, and SciPy on your Windows computer and Raspberry Pi.
We cover a broad range of topics, such as:
Fundamentals of Scientific Python Ecosystem
Basics of SciPy NumPy and Matplotlib
The installation of Python 3 on Windows
Installing the Raspberry Pi
The tour through the Python 3 environment on Raspberry Pi
Installation of Jupyter and the basics
Ndarrays
Array Create Routines
Basic Visualization using Matplotlib
Ndarray Manipulation
Installation of SciPy
Image Processing using NumPy and Matplotlib
NumPy and SciPy
Scientific and Business Visualizations
K-Means clustering using SciPy
Course Content:
- Learn and explain the Scientific Ecosystem
- Utilize Ndarrays in NumPy
- Mathematics and Statistical Functions
- Image Processing using NumPy and Matplotlib
- Fundamental as well as Advanced Visualizations using Matplotlib
- SciPy, NumPy, and Matplotlib Recipes
- K-Means Clustering
Download NumPy, SciPy, and Matplotlib Recipes from below links NOW!
