MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 hours | Size: 3.74 GB
What you’ll learn
Understand and explain the Scientific Ecosystem
Work with NumPy
Work with Ndarrays in NumPy
Create basic data visualization with Matplotlib
Work with Matrices
Mathematical and Statistical Functions in NumPy
Use NumPy and Matplotlib for Image Processing
FFTs
Basic Visualizations using Matplotlib
Requirements
A Windows Computer or Raspberry Pi
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 NumPy and Numerical Python and learn employers’ one of most requested skills of 21st Century! A great Data Science professional makes $150000 per year.
This is the most comprehensive, yet straight-forward course for the Numerical Python (NumPy) on Udemy! Whether you have never used NumPy before, already know basic a bit of Python, or want to learn about the advanced features of NumPy with Python, this course is for you! In this course we will teach you NumPy with Python.
With over 65 lectures and more than 7.5 hours of video this comprehensive course leaves no stone unturned in teaching you NumPy with Python 3!
This course will teach you NumPy in a very practical manner, with every lecture comes a full NumPy programming videos and corresponding Jupyter notebooks that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3 and NumPy installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
Basics of Scientific Python Ecosystem
Basics of 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
FFTs
Bitwise Operations
Matrices
Linear Algebra
Ndarray Manipulation
Basic Visualization with Matplotlib
Mathematical Functions
Trigonometric Functions
Statistical Functions
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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