Python workshop
- 1. Python ProgrammingPython Programming Crash Course WorkshopCrash Course Workshop behzadimbehzadim mariebehzadimariebehzadi mariebehzadimariebehzadi 26-Nov-2018
- 2. Scripting Language â—Ź What is Scripting Language? â—Ź Interpreted Programs vs Compiled Programs â—Ź #!
- 3. What is Python? ● Created in 1990 by Guido van Rossum ● Rossum was BDFL until 2018 ● Origin name from British comedy group Monty Python ● An important goal of Python's developers is keeping it fun to use ● Interpreted high-level programming language ● General-purpose language ● Paradigm – Object-oriented – Imperative – Functional – Procedural – Reflective
- 6. Python 2.7 2016 → 71.9% 2017 → 63.7%
- 7. Why Python? â—Ź Designed to be easy to learn and master â—Ź Readable and Maintainable Code â—Ź Multiple Programming Paradigms â—Ź Robust Standard Library â—Ź Extensive Support Libraries â—Ź Compatible with Major Platforms and Systems â—Ź Many Open Source Frameworks and Tools â—Ź General Purpose Programming Language â—Ź Adopt Test Driven Development â—Ź Lots of 3rd Party Tools â—Ź Active Open-Source Community
- 8. Popularity
- 9. Popularity
- 10. Productivity ● Reduced Development Time – Code is 2-10x shorter than C, C++, Java ● Improved Program Maintenance – High Readability ● Less Training – Easy to Learn
- 13. Python Basics (Math Operations)
- 14. Python Basics (Variable and Types)
- 18. Python Basics (Data Structures)
- 19. Python Basics (Data Structures)
- 20. Python Basics (Data Structures)
- 23. More Details (Exception Handling)
- 24. More Details (Module) ● logically organize your Python code ● Grouping related code → easy, high readability ● Simply, a module is a file consisting of Python code ● A module can define functions, classes and variables. ● A module can also include runnable code.
- 25. The Python Standard Library ● Python comes standard with a set of modules, known as the “standard library” ● Incredibly rich and diverse functionality available from the standard library ● All common internet protocols, sockets, CGI, OS services, GUI services (via Tcl/Tk), database, Berkeley style databases, calendar, Python parser, file globbing/searching, debugger, profiler, threading and synchronisation, persistency, etc https://docs.python.org/3/library/
- 27. Numpy â—Ź Numerical Python â—Ź Why NumPy? â—Ź Designed for scientific computing â—Ź Open-Source â—Ź ndarray is the core object â—Ź Advanced functions to work with arrays â—Ź Universal Functions (ufunc) â—Ź Basic Linear Algebra â—Ź Basic Statistical Operations â—Ź Random Simulation â—Ź discrete Fourier transforms â—Ź mathematical, logical, shape manipulation â—Ź Numeric + Numarray ~ NumPy
- 28. Numpy / Linear Algebra
- 29. Pandas â—Ź data manipulation and analysis â—Ź data structures and operations for manipulating numerical tables and time series â—Ź The name is derived from the term "panel data" â—Ź DataFrame is the Core Object â—Ź Suitable for Data Wrangling â—Ź Open-Source
- 31. scikit-learn ● free software machine learning library for the Python ● Used in data mining and data analysis ● Built on NumPy, SciPy, and matplotlib ● Open-Source ● classification, regression and clustering algorithms – support vector machines – random forests – gradient boosting – k-means – DBSCAN
- 32. scikit-learn (Data Modeling & Prediction)