What you would learn in The Complete Scientific Python 3 Bootcamp course?
The most thorough and easy-to-follow course available for Python 3 on Scientific Python on Udemy! If you've never used SciPy previously, are familiar with the fundamentals of Python, or are looking to discover the more advanced features of NumPy using Python 3, this course is ideal! This course will instruct you on NumPy SciPy, Matplotlib, Jupyter Notebook, Pandas, and Scikit-image.
With more than 100 lectures and over 13 hours of video, this thorough course is thorough in educating your Scientific Python!
This course will help you efficiently learn Scientific Python. For each lecture, you will receive a complete Python 3 programming video and an accompanying Jupyter notebook, including Python 3 code! Learn however you think is best for you!
We'll start by helping you install Python3, NumPy, Matplotlib, Jupyter, and SciPy on your Windows PC and Raspberry Pi.
We cover a broad range of subjects, such as:
The basics of the Scientific Python Ecosystem
The basics of SciPy, NumPy and Matplotlib
The installation of Python 3 on Windows
Set up Raspberry Pi
A tour of the Python 3 environment on Raspberry Pi
Installation and basic Jupyter knowledge
Ndarrays
Array Routines Creation Routines
Basic Visualization using Matplotlib
Ndarray Manipulation
Installation of SciPy
Constants along with Linear Algebra
Integration
FFTs
Signal Processing
Interpolation
Image Processing using NumPy, SciPy, Matplotlib, and Scikit-image
Pandas and Data Science
K-Means clustering using SciPy
Course Content:
- Explain and comprehend the Scientific Ecosystem
- Use Ndarrays in NumPy
- Mathematics and Statistical Functions
- Imaging and Signal Processing using NumPy, SciPy, and Scikit-image
- Beginning as well as Advanced Visualizations using Matplotlib
- An introduction to Data Science with Pandas
- K-Means Clustering
Download The Complete Scientific Python 3 Bootcamp from below links NOW!
