Why Python?
- Readable
- Concise
- Simple syntax
- “Pythonic” One clear way of doing things
Image CC-BY-SA By Jenny Darmody on Silicon Republic.
Python is very popular as a general purpose programming language.
Image CC-BY-SA Source: Stack Overflow
Python is the most popular language amongst data scientists.
Image CC-BY-SA Source: KdNuggets
Python has excellent tools for “Scientific computing”
- Numpy
- Pandas
- SciPy
- StatsModels
- Matplotlib
Python is the king of Data Science, Machine Learning and Artificial Inteligence
- scikit-learn
- Keras
- Tensor Flow
- PyTorch
- MXNet
- OpenCV
- NLTK
- spaCY
Python libraries almost feel like cheating!
The basics
Follow the workshop notes with me and complete the exercises after this course, on your own time, at your own pace. You will have to make a copy of the assignment to your personal Google Drive account in order to edit the notebook document. Remember, if you get stuck with the exercises, try asking your colleagues and myself in the Slack Channel. Just click on the Join the Discussion section.
Python Variables and Data Types
CLICK HERE FOR THE WORKSHOP NOTES
Python Lists
CLICK HERE FOR THE WORKSHOP NOTES
Python For Loops
CLICK HERE FOR THE WORKSHOP NOTES
CLICK HERE FOR THE LISTS AND LOOPS EXERCISE
Python If Statements
CLICK HERE FOR THE WORKSHOP NOTES
Python Functions and Packages
CLICK HERE FOR THE WORKSHOP NOTES
Intro to NumPy
CLICK HERE FOR THE WORKSHOP NOTES