Complete Introduction to the Scientific Python 3 Ecosystem

 Complete Introduction to the Scientific Python 3 Ecosystem   Free Tutorial Download

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


  • 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

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

Download  Complete Introduction to the Scientific Python 3 Ecosystem  Free


Password : freetuts.download

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