Introduction to python
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This document provides an introduction to the Python programming language. It discusses what Python is, its key features such as being multi-purpose, object oriented, and interpreted. It describes Python's releases and popularity compared to other languages. The document also covers how to run and write Python programs, popular IDEs and code editors, installing packages with pip, categories of public Python packages, and package popularity. It discusses Python modularity with Anaconda and conda versus pip for installation.
![Python public packages (category) [1/2]
Admin Panels
Algorithms and Design Patterns
Audio
Authentication
Build Tools
Built-in Classes Enhancement
Caching
ChatOps Tools
CMS
Code Analysis
Command-line Interface Development
Command-line Tools
Compatibility
Computer Vision
Concurrency and Parallelism
Con鍖guration
Cryptography
Data Analysis
Data Validation
Data Visualization
Database
Database Drivers
Date and Time
Debugging Tools
Deep Learning
DevOps Tools
Distributed Computing
Distribution
Documentation
Downloader
E-commerce
Editor Plugins and IDEs
Email
Environment Management
Files
Foreign Function Interface
Forms
Functional Programming
Game Development
Geolocation
GUI Development
Hardware
HTML Manipulation
HTTP Clients
Image Processing
Implementations
Interactive Interpreter
Internationalization
Job Scheduler
Logging
Machine Learning
Total: 63595 packages](https://image.slidesharecdn.com/introductiontopython-190820054621/85/Introduction-to-python-19-320.jpg)
![Python public packages (category) [2/2]
Miscellaneous
Natural Language Processing
Network Virtualization
Networking
News Feed
ORM
Package Management
Package Repositories
Permissions
Processes
Queue
Recommender Systems
RESTful API
Robotics
RPC Servers
Science
Search
Serialization
Serverless Frameworks
Speci鍖c Formats Processing
Static Site Generator
Tagging
Template Engine
Testing
Text Processing
Third-party APIs
URL Manipulation
Video
Web Asset Management
Web Content Extracting
Web Crawling
Web Frameworks
WebSocket
WSGI Servers
Total: 63595 packages
https://github.com/vinta/awesome-python](https://image.slidesharecdn.com/introductiontopython-190820054621/85/Introduction-to-python-20-320.jpg)
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Introduction to python
- 1. Introduction to Python Delft, 19 Aug 2019
- 2. What is Python? Multi-purpose (Web, GUI, Scripting, etc.) Object Oriented Interpreted Both strongly typed and dynamically typed Focus on readability and productivity
- 3. Features Batteries Included Everything is an Object Interactive Shell Strong Introspection Cross Platform CPython, Jython, IronPython, PyPy
- 4. Releases Created in 1989 by Guido Van Rossum Python 1.0 released in 1994 Python 2.0 released in 2000 Python 3.0 released in 2008 Python 2.7 is the recommended version 3.0 adoption will take a few years
- 5. Python popularity among other languages TIOBE, Jan 2019 PyPL, Jan 2019
- 6. Python among other programming languages (benchmark) https://en.wikipedia.org/wiki/List_of_programm ing_languages_by_type https://attractivechaos.github.io/plb/ http://www.bioinformatics.org/benchmark/resu lts.html https://github.com/kostya/benchmarks
- 7. End-users just dont care: 0.001 vs. 0.01 seconds no matter; horizontal scalability used More productive: more concise and expressive language and requires less time, effort, and lines of code to perform the same operations Execution Speed does not matter as much as Business Speed Rich set of standard libraries and frameworks Large community (packages, Q/A, discussions) Despite being slow, why is Python still popular?
- 8. How readable is Python?
- 9. How readable is Python?
- 10. How readable is Python?
- 11. How readable is Python?
- 12. How readable is Python?
- 13. When use and not use Python? Use Execution speed does not matter Everyone is new to programming Readability is more important Not use Speed-intensive applications including games that require high-performance OS or system-level applications (e.g., memory manipulation)
- 14. How to run a Python program Using embedded interpreter in IDE/Notebook Using stand-alone interpreter Using the interactive shell
- 15. How to write a Python program IDE: Eclipse + PyDev, Visual Studio, PyCharm, Spyder, Thonny Code editor: Sublime Text, Atom, GNU Emacs, Vi / Vim / Nano, Visual Studio Code, ... Notebook: Jupyter, Zeppelin
- 16. How to write a Python program Use IDE: write a complex program, collaboration in a team, many dependencies/libraries/binaries Use code editor: write a simple program Notebook: interactive, reporting-like deliverable
- 17. Most popular Python IDE/Code Editor https://insights.stackoverflow.com/survey/201 9#development-environments-and-tools
- 18. Python package installer (pip) pip is the recommended tool to install python package from python package public repos (such as public PyPI - and its mirrors) and private repos pip can install from either Source Distributions (sdist) or wheels, but if both are present on PyPI, pip will prefer a compatible wheel (pre-built).
- 19. Python public packages (category) [1/2] Admin Panels Algorithms and Design Patterns Audio Authentication Build Tools Built-in Classes Enhancement Caching ChatOps Tools CMS Code Analysis Command-line Interface Development Command-line Tools Compatibility Computer Vision Concurrency and Parallelism Con鍖guration Cryptography Data Analysis Data Validation Data Visualization Database Database Drivers Date and Time Debugging Tools Deep Learning DevOps Tools Distributed Computing Distribution Documentation Downloader E-commerce Editor Plugins and IDEs Email Environment Management Files Foreign Function Interface Forms Functional Programming Game Development Geolocation GUI Development Hardware HTML Manipulation HTTP Clients Image Processing Implementations Interactive Interpreter Internationalization Job Scheduler Logging Machine Learning Total: 63595 packages
- 20. Python public packages (category) [2/2] Miscellaneous Natural Language Processing Network Virtualization Networking News Feed ORM Package Management Package Repositories Permissions Processes Queue Recommender Systems RESTful API Robotics RPC Servers Science Search Serialization Serverless Frameworks Speci鍖c Formats Processing Static Site Generator Tagging Template Engine Testing Text Processing Third-party APIs URL Manipulation Video Web Asset Management Web Content Extracting Web Crawling Web Frameworks WebSocket WSGI Servers Total: 63595 packages https://github.com/vinta/awesome-python
- 21. Python public package popularity https://stackoverflow.blog/2017/09/14/python- growing-quickly/
- 22. Python public package popularity
- 23. Python modularity Anaconda (app+ libraries+ binaries) *Miniconda is the light version of Anaconda (less packages)
- 24. Python modularity: conda vs pip pip installs only Python packages, but conda installs also the system binaries needed by the Python packages. Very important for a non-sudo user to leverage the server capability
- 25. Python modularity in practice
- 26. Basic Python Tutorial Were using Anaconda Clone: https://gitlab.erc.monash.edu.au/andrease/Python4Maths