Updated 06/2022
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.9 GB | Duration: 103 lectures • 13h 25m
Learn NumPy, SciPy, Matplotlib, Jupyter Notebook, Pandas, and Scikit-image in a single course
What you’ll learn
Understand and explain the Scientific Ecosystem
Work with Ndarrays in NumPy
Mathematical and Statistical Functions
Signal and Image Processing with NumPy, SciPy, and Scikit-image
Basic and Advanced Visualizations using Matplotlib
Introduction to Data Science with Pandas
K-Means Clustering
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Basic Mathematics and Programming
Zeal and enthusiasm to learn new things
A burning desire to take your career to the next level
Description
Become a Master in Scientific Python and acquire employers’ one of the most requested skills of 21st Century! A great Scientific Python programmer earns more than $150000 per year.
This is the most comprehensive, yet straight-forward course for the Scientific Python on Udemy! Whether you have never used SciPy before, already know basics of Python, or want to learn the advanced features of NumPy with Python 3, this course is for you! In this course we will teach you NumPy, SciPy, Matplotlib, Jupyter Notebook, Pandas, and Scikit-image.
With over 100 lectures and more than 13 hours of video this comprehensive course leaves no stone unturned in teaching you Scientific Python!
This course will teach you Scientific Python in a very practical manner, with every lecture comes a full Python 3 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, Jupyter, and SciPy installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including
Basics of Scientific Python Ecosystem
Basics of SciPy, 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
Ndarrays
Array Creation Routines
Basic Visualization with Matplotlib
Ndarray Manipulation
Installation of SciPy
Constants and Linear Algebra
Integration
FFTs
Signal Processing
Interpolation
Image Processing with NumPy, SciPy, Matplotlib, and Scikit-image
Pandas and Data Science
K-Means clustering with SciPy
You will get lifetime access to over 100 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!
So what are you waiting for? Learn SciPy 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 Science and Machine Learning Professionals
Computer Vision Professionals
Raspberry Pi Enthusiasts
Anyone with zeal and enthusiasm to learn
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