Python. Why to learn?
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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.
Python. Why to learn?
- 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
- 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)
- 14. Who uses Python Google Yahoo Dropbox IBM NASA Mozilla Quora Reddit Instagram Pinterest YouTube and a lot of others
- 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
- 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!