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Last updated 4/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 510.10 MB | Duration: 1h 3m
Introduction to NumPy
What you'll learn
How to install Python
Create Python files
Run Python files
How to use NumPy
How to create arrays in NumPy
How to apply mathematical functions to arrays and matrices
How to apply statistical functions to arrays and matrices
And more...
Requirements
PC with Windows or Mac
Internet connection
Basic knowledge in Python (How to create simple python scripts)
Description
This courses will teach you how to get started with Numpy. Python was described as the language that is capable of doing anything and everything. The good news about this course is that you don't need advanced knowledge in Python nor in any programming language. All you need is just simple knowledge of how to create simple Python functions/scripts.Learning NumPy is very important if you want to either use it in machine learning and data science or on its own for mathematical purposes. And this course gives you the opportunity to learn that in a simple step-by-step approach. By the end of this course you will have learned how to use NumPy, how to create array, matrices call mathematical and statistical functions of NumPy.Why should you take this course?There are many reasons why this course is extremely important. You will learn one of the most important libraries that is used extensively in data science and machine learning.Secondly you will improve your python skills by learning a new skill.You will be able to use NumPy for mathematical purposes.What you will learn in this course?1. How to install Python.2. Create Python files.3. Run Python files.4. How to create arrays in NumPy.5. How create matrices in NumPy.6. How to apply NumPy's mathematical functions.7. How to apply statistical functions of NumPy.8. Tips & techniques.9. Much much more...Note: The project that will be created throughout this course will be provided so that you can download it and use it for commercial and non-commercial purposes.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Which IDE should be used?
Lecture 3 Installing Python - MAC Users
Lecture 4 Installing Python - Windows Users
Lecture 5 Installing NumPy
Section 2: NumPy
Lecture 6 Project folder
Lecture 7 Run file
Lecture 8 Import NumPy
Lecture 9 Array info
Lecture 10 Arrange
Lecture 11 Reshape
Lecture 12 Array of zeros
Lecture 13 Array of ones
Lecture 14 Steps
Lecture 15 Big arrays
Lecture 16 Math operations
Lecture 17 2-dim math
Lecture 18 More on math
Lecture 19 Math functions 1
Lecture 20 Math functions 2
Lecture 21 Compression
Lecture 22 Exponential
Lecture 23 Sum
Lecture 24 Root
Lecture 25 Sub array
Lecture 26 Statistical functions
Lecture 27 For
Lecture 28 NumPy doc
Python developers (All levels),Programmers who want to learn Numpy
Homepage
https://www.udemy.com/course/python-numpy-for-beginners/
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