Python NumPy For Your Grandma
- Basic knowledge of Python
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 transformations and random sampling.
The course is presented as a series of on-demand lecture style videos with lots of animated examples, code for you to follow, and challenge problems to test your knowledge. Go as fast or as slow as you want. No formal tests. No pressure.
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!
- Python developers interested in scientific computing and data science
- 1.0 Course Introduction01:06
- 2.0 Introduction To NumPy Arrays00:04
- 2.1 What's A NumPy Array?02:42
- 2.2 Creating NumPy Arrays01:03
- 2.3 Indexing And Modifying 1-D Arrays01:55
- 2.4 Indexing And Modifying Multidimensional Arrays02:19
- 2.5 Basic Math01:11
- 3.0 Intermediate Array Stuff00:10
- 3.1 Broadcasting04:29
- 3.2 newaxis01:13
- 3.3 reshape()01:50
- 3.4 Boolean Indexing03:15
- 3.5 nan01:06
- 3.6 infinity01:09
- 3.7 random03:09
- 4.0 Common Operations00:09
- 4.1 where()01:59
- 4.2 Math Funcs01:46
- 4.3 all() and any()00:48
- 4.4 concatenate()01:14
- 4.5 Stacking04:46
- 4.6 Sorting04:53
- 4.7 unique()01:36
- 5.0 Challenges00:33
- 5.1 New Column From Others01:23
- 5.2 Replace N Values Where01:16
- 5.3 Random Insertions01:03
- 5.4 Index Onwards01:04
- 5.5 One-Hot-Encoding01:26
Hi I’m Ben. I spent five years doing actuarial work for an insurance company before ditching the cubicle and opening up my freelance machine learning consultancy, GormAnalysis. Now I build predictive models for companies spanning a range of industries including insurance, ecommerce, tech, real estate, and others. I'm also a Kaggle Master, for whatever that's worth..
I've been blogging about technical machine learning topics for years, but since I personally prefer learning from videos, I decided to upgrade my blog into video format. You see, these courses are not intended for you; they're a reference for future me, when I forget how things work. But you can use them too, for a small fee :)