By: James Shaddix
Major
Examples:
1. Current Python Version: 3.7.4
2. Numpy: 1.17.0
Minor
Patch
.
.
incompatible API changes
add functionality in a backwards-compatible manner
backwards-compatible bug fixes
What About a:
0
.
X
Y
.
Release #:
Release?
Examples:
1. Pandas: 0.25
| Python 1 | 1991 |
| Python 2 | 2000 |
| Python 3 | 2008 |
| Core Philosophy |
|---|
| 1. Beautiful is better than ugly |
| 2. Explicit is better than implicit |
| 3. Simple is better than complex |
| 4. Complex is better than complicated |
| 5. Readability counts |
Python Is A: general purpose, extensible programming language
| Creation |
|---|
Is Python Slow?
Sort of ...
The core Functionality of Python is comparatively slow to many languages
We Can Fix This!
FAST
scientific libraries.
3rd Party
Python Development Model:
2. Figure out where the code is slow, and rewrite in C.
Open Source
My developers:
Develop highly efficient code and
aren't afraid of long nights at the office.
My developers:
Write beautiful code,
have cool hobbies, and
families to go home to ...
Broad Strokes
Python Benefits
1. Free
2. Language is simple
3. Scales well for large projects
4. Open Source
5. General Purpose
Matlab Benefits
1. Easier for Beginners
2. Interactive Tools
3. Simulink
So which one is better???
What if ...
L = Third Party Library
P = Matlab Package
Using Python For Data Analysis means you have to manage a lot of third party libraries.
1. You will quickly start to accrue hundreds of packages.
2. It's going to be your job to install/update all of these packages
3. It's your job to have to deal with conflicting packages
This is NOT Trivial !!!
Introducing:
1. Comes with the package manager "conda"
2. Allows us to make use of virtual enviroments
3. Comes with a bunch of useful software
4. Comes with pre-installed python packages for data analysis
Ipython Notebook
Jupyter
Notebook
Jupyter
Lab
For Interactive Development
for rigorous software development
By Jim Shaddix
Presentation for graduate physics community at Colorado State University.
