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NumPy, SciPy, and Matplotlib Recipes
Rating: 4.3 out of 5(35 ratings)
245 students

NumPy, SciPy, and Matplotlib Recipes

Learn to code Scientific Python recipes and Image Processing with NumPy, SciPy, Matplotlib, and Jupyter Notebook
Created byAshwin Pajankar • 85,000+ Students Worldwide
Last updated 7/2022
English

What you'll learn

  • Understand and explain the Scientific Ecosystem
  • Work with Ndarrays in NumPy
  • Mathematical and Statistical Functions
  • Image Processing with NumPy and Matplotlib
  • Basic and Advanced Visualizations using Matplotlib
  • SciPy, NumPy, and Matplotlib Recipes
  • K-Means Clustering

Course content

27 sections • 100 lectures • 10h 47m total length

  • Objectives, Prerequisites, and Audiences3:00

    Build comfort with the scientific Python ecosystem, master the Jupyter notebook for scientific programming, and create polished visualizations using NumPy, SciPy, and Matplotlib.

  • Contents and Topics Overview1:36

    Learn Python 3 basics and the scientific Python ecosystem. Explore NumPy, SciPy, and Matplotlib recipes, Jupyter Notebook, Raspberry Pi setup, and 15–20 image processing recipes with a downloadable core bundle.

  • Please leave your feedback0:59
  • Scientific Python Ecosystem6:16

    Explore the scientific python ecosystem from numpy and scipy to matplotlib and pandas, then add image processing, symbolic math, data analysis, interactive notebooks, and testing tools.

  • Introduction to NumPy4:53
  • Important Projects in scientific Python Ecosystem0:05

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, and Jupyter Notebook. 

With over 100 lectures and more than 10 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

  • Image Processing with NumPy and Matplotlib

  • NumPy and SciPy

  • Scientific and Business Visualizations

  • 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, NumPy, and Matplotlib 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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