What is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.

Workshop and lab content for Amazon Aurora MySQL compatible databases. This code will contain a series of templates, instructional guides and sample code to educate users on how to use Amazon Aurora features. The AWS CloudFormation templates will create the relevant resources in a user's account, the Bash and Python scripts will support the lab, by automating tasks, generating load or execute changes on resources created using AWS CloudFormation.

A sample app for automated phone surveys with Twilio, TwiML, Python and Django

teemi: A Python package for reproducible and FAIR microbial strain construction. Simulate the entire dbtl-cycle, generate genetic parts, design libraries, and track samples. Open-source Python platform for workflow flexibility and automated tasks, accelerating metabolic engineering. Try teemi with our Google Colab notebooks!

Sample behave, lettuce, nose, unit, py.test code for running selenium with BrowserStack Automate

This repository contains the infrastructure as code to bootstrap your next CI/CD project. It is developed with security best practices in mind, provides a robust and automated deployment process that utilizes a combination of CDK Stacks primarily written in TypeScript. It also deploys sample Python Lambda functions.

Sample Python script for automating WebInspect scans and pushing results to SSC

A sample app for automated phone surveys with Twilio, TwiML, Python and Flask

This is a sample code snippet for Robot framework with Python is written by GrandEL, to run Automated cross Browser and cross platform testing on Browserstack

A Python and Command Line based set of samples for interacting with Adobe's Substance Automation Toolkit APIs with the purpose of automating content creation.

Python program for automating the "Aimless Transition Ensemble Sampling and Analysis" (ATESA) aimless shooting workflow on PBS/TORQUE or Slurm.

PICA (Python-based Instrument Control and Automation) is a modular, open-source software suite designed to automate advanced transport measurements for electronic devices and material samples. It serves as a robust software platform that enables advanced high‑precision characterisation of materials.

A Sample app to automate on lambdatest grid using python behave

A precise and versatile tool for mapping antenna radiation patterns. This system automates high-precision rotation , data sampling, gain calculations, and visualization, Built using ESP8266, Python, and modular mechanics, it’s an open-source, budget-friendly solution for researchers and engineers.

Ida python script for automating string decryption of Astaroth/Guildma samples

This sample tool shows how to programmatically create, update, and delete SAP Data Warehouse Cloud artifacts. The tool, referred to as **provisioner**, is written in Python and demonstrates how to automate various SAP Data Warehouse Cloud provisioning activities.

This is an automated workflow pipeline for analyzing and processing Bulk-RNA seq data, implemented primarily in bash, python and R, and wrapped in a NextFlow workflow to characterize the gene landscape in the samples.

Old version of ATESA, a Python program for automating Aimless Transition Ensemble Sampling and Analysis (ATESA) with the Amber molecular simulations package

This a sample project of Automated Testing Framework in Python. It uses Selenium WebDriver in POM Structure and topped with BDD using Behave.

Sample API tests for the workshop on Tavern, which is a Python library for automated testing of APIs. The API that is tested is GitHub's own REST API.

Sample code of the Gmail-IMAP-Oauth2 authentication procedure, in Python and Go. Allows to perform automated operations on emails without toggling the "less secure apps" switch on the Google account page.

A Python script to automate the extraction of topobathymetric data from DEM raster files to Delft3D-FM hydrodynamic model grid points. This tool processes multiple raster files, samples elevation values at specified grid points, and exports the results as text files, ensuring compatibility with Delft3D-FM modeling workflows.

A basic Python web vulnerability scanner built during IIT Jammu Summer School 2025. Automates web crawling and detects common flaws like SQL Injection and XSS for educational and demo purposes. Includes setup instructions, code, and sample results.

Production-grade VaR system for a $65M equity portfolio with weekly short SPX calls. GJR-GARCH passes both Kupiec and Christoffersen backtests over 783 out-of-sample days. Regime-aware HMM with causal forward filter drives option sizing. Full greeks monitoring, automated risk alerts, and modular 9-file Python architecture.

This python project extracts the time tracking information from GitLab users within an org and adds up the number of hours part-timers worked in a given work week. It then produces a report that HR/Payroll can use. It also includes a sample shell script that can automate running it as a cron job.

Forecasting blood supply is a serious and recurrent problem for blood collection managers.In this Project, you will work with data collected from the donor database of Blood TransfusionService Center. The dataset, obtained from the Machine Learning Repository, consists of arandom sample of 748 donors. Your task will be to predict if a blood donor will donate within a giventime window. You will look at the full model-building process: from inspecting the dataset to usingthe tpot library to automate your Machine Learning pipeline. To complete this Project, you need to know some Python, pandas, and logistic regression.

A greenfield automated deployment of application gateway ingress controller with a python sample app

Several code samples for automating work with python.

Sample of a simple automated python SDK

Python module to automate sampling of conditional statistics