Complete SciPy Masterclass: Go from Zero to Hero in SciPy

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 hours | Size: 4.52 GB

What you’ll learn

Understand and explain the Scientific Ecosystem
Work with Ndarrays in NumPy
Work with Matrices
Mathematical and Statistical Functions
FFTs
SciPy for Image Processing
Signal Processing
Basic Visualizations using Matplotlib

Requirements

Windows PC/ Raspberry Pi with Internet Connection
Basic Programming and Python Programming Basics
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level

Description

Become a Master in SciPy and acquire employers’ one of the most requested skills of 21st Century! A great Scientific Python programmer earns more than $120000 per year.

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

With over 70 lectures and more than 10 hours of video this comprehensive course leaves no stone unturned in teaching you SciPy with Python 3!

This course will teach you SciPy in a very practical manner, with every lecture comes a full SciPy 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

Who is the target audience?

Data Science Professionals
Machine Learning Professionals
AI Professionals
Computer Vision Professionals
Raspberry Pi Enthusiasts
Scientists
Engineering
Mathematicians
Physicists
Anyone with zeal and enthusiasm to learn

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