This document provides an overview of the Python programming language, including its history, implementations, key features, examples of usage, and popularity. Some of the key points covered include: - Python was created in the late 1980s and continues to be actively developed and improved. It has a simple yet powerful design philosophy. - It has multiple implementations like CPython, PyPy, Jython, and is widely used across industries like Google, NASA, and YouTube. - Python code is highly readable and emphasizes readability. It has a large standard library and ecosystem of over 100,000 packages. - Popular applications include web development, science/data analysis, machine learning, desktop GUIs, and more.

1. Why to learn?
Oleh Korkh
https://www.linkedin.com/in/oleh-korkh-ba2a6825/
https://www.facebook.com/korkholeh
https://twitter.com/korkholeh
https://bitbucket.org/korkholeh/

2. Flickr / Jonathan Kriz / CC

3. https://www.planetclaire.tv/quotes/montypython/monty-pythons-flying-circus/

4. Guido van Rossum

5. History
ABC programming language - early 1980s
Python implementation was started in 1989 (based on ideas
from ABC and Modula-3)
Python 0.9 - 1991
Python 1.0 - 1994
Python 2.0 - 2000
Python 2.7 - 2010
Python 3.0 - 2008
Python 3.6 - 2016

6. Implementations
● CPython (reference)
● PyPy
● StacklessPython
● Jython
● IronPython
● MicroPython
● Cython
https://wiki.python.org/moin/PythonImplementations

7. Code Example
lower = int(input("Enter lower range: "))
upper = int(input("Enter upper range: "))
print("Prime numbers between",lower,"and",upper,"are:")
for num in range(lower, upper+1):
# prime numbers are greater than 1
if num > 1:
for i in range(2, num):
if (num % i) == 0:
break
else:
print(num)

8. Zen of Python
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
...
https://www.python.org/dev/peps/pep-0020/

9. Key features
● Simple. Minimalistic. Easy to learn. Easy to read.
● General purpose
● Excellent documentation
● Free and Open Source
● Modern High-Level Language
● Dynamically but strong typed. Optional static typing.
● Portable
● Interpreted
● Interactive
● Object Oriented, Imperative, Functional, Procedural
● Powerful control structures and data types
● Extensible
● Embeddable
● Large standard library. 117000+ packages in PyPi
● Large community

10. Examples

11. A piece of a real code (Django-based project)

12. https://www.tiobe.com/tiobe-index/

13. https://insights.stackoverflow.com/survey/2017
Most popular Most wanted

14. Who uses Python
● Google
● Yahoo
● Dropbox
● IBM
● NASA
● Mozilla
● Quora
● Reddit
● Instagram
● Pinterest
● YouTube
and a lot of others

15. System programming, scripting

16. Web-development

17. Science
● NumPy
● SciPy
● SymPy
● Pandas
● Mathplotlib
● SimPy
● Biopython
https://wiki.python.org/moin/NumericAndScientific

18. NLP, CV, ML, DL
● scikit-learn
● OpenCV
● NLTK
● Keras
● TensorFlow
● Theano
● CNTK

19. Enterprise

20. Desktop GUI
● TkInter (Tk)
● wxPython (wxWidgets)
● pyQt (Qt)
● pySide (Qt)
● pyGTK (GTK+)
● pywin32
● Kivy
● PyGame

21. OpTIC Glyndwr Ltd
http://www.ukspa.org.uk/members/optic
https://www.glyndwr.ac.uk/
Engineering

22. Other applications

23. Any cons?
● Not so fast like compiled languages (not a big problem in 90% of the cases)
● Dynamically typed (type hinting can be helpful)
● Global Interpreter Lock (hard to load your powerful multicore CPU)
● Not for mobile development (possible but ...)
● Not for memory intensive tasks (libraries can help)
● Lambdas are quite limited (in comparison with Lisp)

24. Thanks for your time!