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Introduction to-python

This document discusses an introduction to Python training provided by DataFlair. It covers what Python is as an interpreted, high-level and general-purpose programming language. It discusses the history of Python from its conception in 1980 to the end of life for Python 2.7 in 2020. It also outlines some of Python's key features and components like functions, modules, packages and classes. Finally, it discusses frameworks and flavors of Python like Django, Flask and Jython as well as uses of Python for tasks like website building, data analysis and machine learning.

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Certified Python and Data Science Training – DataFlair Introduction to Python
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?
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
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
Certified Python and Data Science Training – DataFlair
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
Certified Python and Data Science Training – DataFlair History of Python
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
Certified Python and Data Science Training – DataFlair Components of Python Functions Packages Classes Modules
Certified Python and Data Science Training – DataFlair Collection of statements May return a value Functions Components of Python
Certified Python and Data Science Training – DataFlair Packages Modules Classes Components of Python
Certified Python and Data Science Training – DataFlair Classes Abstract data type Holds no values Components of Python
Certified Python and Data Science Training – DataFlair Packages Modules Components of Python
Certified Python and Data Science Training – DataFlair Collection of related classes and functions Components of Python Modules
Certified Python and Data Science Training – DataFlair Packages Collection of related modules Components of Python
Certified Python and Data Science Training – DataFlair Frameworks for Python
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
Certified Python and Data Science Training – DataFlair ― Web framework ― Microframework ― No database abstraction layer/ form validation ― Extensions Frameworks for Python
Certified Python and Data Science Training – DataFlair ― Microframework ― Web development ― Fast and light-weight ― Simple Frameworks for Python
Certified Python and Data Science Training – DataFlair Frameworks for Python ― Open-source ― Web framework ― High-performing and scalable ― Written in Python
Certified Python and Data Science Training – DataFlair Frameworks for Python ― Web-framework ― Not a mega-framework ― Not a micro-framework ― Optimal liberty for project
Certified Python and Data Science Training – DataFlair ― Open-source ― Web-framework ― Rapid development ― MVC architecture ― Written in Python Frameworks for Python
Certified Python and Data Science Training – DataFlair ― Open-source ― Web-framework ― Extensive use of third-party tools ― Deprecated framework Frameworks for Python
Certified Python and Data Science Training – DataFlair Flavors of Python
Certified Python and Data Science Training – DataFlair Flavors of Python ― Most-widely used implementation of Python ― Written in C ― An interpreter
Certified Python and Data Science Training – DataFlair Flavors of Python ― Implemented in C# ― Extensibility layer to application frameworks written in a .NET language
Certified Python and Data Science Training – DataFlair Flavors of Python ― Written in Java ― Can import Java classes ― Compiles to Java bytecode
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
Certified Python and Data Science Training – DataFlair Flavors of Python ― Implemented in Python ― Fast ― Easy to experiment with
Certified Python and Data Science Training – DataFlair Flavors of Python ― Browser Python ― Runs in the browser
Certified Python and Data Science Training – DataFlair Flavors of Python ― Bridge between Python and Ruby interpreters ― Marshals data between Python and Ruby virtual machines
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
Certified Python and Data Science Training – DataFlair Thank You DataFlair /c/DataFlairWS /DataFlairWS