Introduction to-python
- 1. Certified Python and Data Science Training – DataFlair Introduction to Python
- 2. Certified Python and Data Science Training – DataFlair Agenda What is Python? History of Python Features of Python Components of Python Frameworks for Python Flavors of Python Why Python?
- 3. Certified Python and Data Science Training – DataFlair What is Python? An , for general-purpose programming interpreted high-level programming language ― Each statement translated into subroutines ― Platform-independent ― Dynamic typing ― Easier debugging ― Automatic memory management ― Adding or changing functions at runtime ― No need to recompile again to test a small section ― Slower ― Checking for errors- dynamic
- 4. Certified Python and Data Science Training – DataFlair What is Python? An , for general-purpose programming interpreted high-level programming language ― Strong abstraction ― Closer to the end-user ― May use elements of natural language ― May be simpler ― May automate areas like memory management
- 5. Certified Python and Data Science Training – DataFlair
- 6. Certified Python and Data Science Training – DataFlair History of Python 1980 2000 2008 2017 2020 1980- Conception 19891989- Implementation 2000- Python 2.0 Release 2008- Python 3.0 Release 2017- Python 2.7 to Go Transcompiler 2020- End-of-life: Python 2.7 Guido Van Rossum
- 7. Certified Python and Data Science Training – DataFlair History of Python
- 8. Certified Python and Data Science Training – DataFlair Features of Python Large Library Extensible and Embeddable Easy Free and Open-Source Object- oriented GUI Programming Interpreted Portable Dynamically typed
- 9. Certified Python and Data Science Training – DataFlair Components of Python Functions Packages Classes Modules
- 10. Certified Python and Data Science Training – DataFlair Collection of statements May return a value Functions Components of Python
- 11. Certified Python and Data Science Training – DataFlair Packages Modules Classes Components of Python
- 12. Certified Python and Data Science Training – DataFlair Classes Abstract data type Holds no values Components of Python
- 13. Certified Python and Data Science Training – DataFlair Packages Modules Components of Python
- 14. Certified Python and Data Science Training – DataFlair Collection of related classes and functions Components of Python Modules
- 15. Certified Python and Data Science Training – DataFlair Packages Collection of related modules Components of Python
- 16. Certified Python and Data Science Training – DataFlair Frameworks for Python
- 17. Certified Python and Data Science Training – DataFlair ― Free and open-source ― Database-driven websites ― DRY Principle (Don’t Repeat Yourself) ― Instagram, Mozilla, Disqus Frameworks for Python
- 18. Certified Python and Data Science Training – DataFlair ― Web framework ― Microframework ― No database abstraction layer/ form validation ― Extensions Frameworks for Python
- 19. Certified Python and Data Science Training – DataFlair ― Microframework ― Web development ― Fast and light-weight ― Simple Frameworks for Python
- 20. Certified Python and Data Science Training – DataFlair Frameworks for Python ― Open-source ― Web framework ― High-performing and scalable ― Written in Python
- 21. Certified Python and Data Science Training – DataFlair Frameworks for Python ― Web-framework ― Not a mega-framework ― Not a micro-framework ― Optimal liberty for project
- 22. Certified Python and Data Science Training – DataFlair ― Open-source ― Web-framework ― Rapid development ― MVC architecture ― Written in Python Frameworks for Python
- 23. Certified Python and Data Science Training – DataFlair ― Open-source ― Web-framework ― Extensive use of third-party tools ― Deprecated framework Frameworks for Python
- 24. Certified Python and Data Science Training – DataFlair Flavors of Python
- 25. Certified Python and Data Science Training – DataFlair Flavors of Python ― Most-widely used implementation of Python ― Written in C ― An interpreter
- 26. Certified Python and Data Science Training – DataFlair Flavors of Python ― Implemented in C# ― Extensibility layer to application frameworks written in a .NET language
- 27. Certified Python and Data Science Training – DataFlair Flavors of Python ― Written in Java ― Can import Java classes ― Compiles to Java bytecode
- 28. Certified Python and Data Science Training – DataFlair Flavors of Python ― MicroPython ― Designed to run on a microcontroller ― Uses a MicroPython board ― This runs MicroPython on bare metal
- 29. Certified Python and Data Science Training – DataFlair Flavors of Python ― Implemented in Python ― Fast ― Easy to experiment with
- 30. Certified Python and Data Science Training – DataFlair Flavors of Python ― Browser Python ― Runs in the browser
- 31. Certified Python and Data Science Training – DataFlair Flavors of Python ― Bridge between Python and Ruby interpreters ― Marshals data between Python and Ruby virtual machines
- 32. Certified Python and Data Science Training – DataFlair Why Python? Computer Vision Build a website Scientific Computing Machine Learning Automate a web browser Develop a game Web Scraping Data Analysis Scripting Artificial Intelligence Robotics
- 33. Certified Python and Data Science Training – DataFlair Thank You DataFlair /c/DataFlairWS /DataFlairWS