Python NumPy For Your Grandma
Python NumPy For Your Grandma, available at Free, has an average rating of 4.75, with 44 lectures, based on 242 reviews, and has 10532 subscribers.
You will learn about NumPy for scientific computing in Python Create and manipulate NumPy Arrays Understand how to index multidimensional arrays (including 3+ dimensional arrays) Familiarization with numpy functions like stack(), argsort(), unique(), as_strided(), einsum() This course is ideal for individuals who are Python developers interested in scientific computing and data science It is particularly useful for Python developers interested in scientific computing and data science.
Enroll now: Python NumPy For Your Grandma
Summary
Title: Python NumPy For Your Grandma
Price: Free
Average Rating: 4.75
Number of Lectures: 44
Number of Published Lectures: 32
Number of Curriculum Items: 44
Number of Published Curriculum Objects: 32
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- NumPy for scientific computing in Python
- Create and manipulate NumPy Arrays
- Understand how to index multidimensional arrays (including 3+ dimensional arrays)
- Familiarization with numpy functions like stack(), argsort(), unique(), as_strided(), einsum()
Who Should Attend
- Python developers interested in scientific computing and data science
Target Audiences
- Python developers interested in scientific computing and data science
Wanna learn NumPy?
Look no further. This course covers everything from how to install and import NumPy to how to solve complex problems involving array creation, transformations, and random sampling.
Course Structure
The course is presented as a series of on-demand lecture style videos with lots of animated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want.
Philosophy
The course has a heavy emphasis on understanding NumPy, as opposed to rote memorization. …But don’t take my word for it. Check out the free lecture videos in the course curriculum below!
Course Curriculum
Chapter 1: Course Introduction
Lecture 1: 1.1 Introduction
Lecture 2: PLEASE READ!
Chapter 2: Basic Array Stuff
Lecture 1: 2.1 NumPy Array Motivation
Lecture 2: 2.2 NumPy Array Basics
Lecture 3: 2.3 Creating NumPy Arrays
Lecture 4: 2.4 Indexing 1-D Arrays
Lecture 5: 2.5 Indexing Multidimensional Arrays
Lecture 6: 2.6 Basic Math On Arrays
Lecture 7: 2.7 Challenge: High School Reunion
Lecture 8: 2.8 Challenge: Gold Miner
Lecture 9: 2.9 Challenge Chic-fil-A
Chapter 3: Intermediate Array Stuff
Lecture 1: 3.1 Broadcasting
Lecture 2: 3.2 newaxis
Lecture 3: 3.3 reshape()
Lecture 4: 3.4 Boolean Indexing
Lecture 5: 3.5 nan
Lecture 6: 3.6 infinity
Lecture 7: 3.7 random
Lecture 8: 3.8 Challenge: Love Distance
Lecture 9: 3.10 Challenge: Psycho Parent
Chapter 4: Common Operations
Lecture 1: 4.1 where()
Lecture 2: 4.2 Math Functions
Lecture 3: 4.3 all() and any()
Lecture 4: 4.4 concatenate()
Lecture 5: 4.5 Stacking
Lecture 6: 4.6. Sorting
Lecture 7: 4.7 unique()
Lecture 8: 4.8 Challenge: Movie Ratings
Lecture 9: 4.9 Challenge: Big Fish
Chapter 5: Advanced Array Indexing
Lecture 1: 5.1 Advanced Array Indexing
Lecture 2: 5.2 View vs Copy
Lecture 3: 5.6 Challenge: Peanut Butter
Instructors
-
Ben Gorman
Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 7 votes
- 3 stars: 22 votes
- 4 stars: 85 votes
- 5 stars: 127 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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