Search Results for "common"
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Showing 26 open source projects for "common"
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. ... -
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The Art of Debugging Open Book
The Art of Debugging Open Book
The Art of Debugging is an evolving open book that teaches systematic methods for finding and understanding difficult software problems. It focuses on both rapid diagnosis of common failures and strategies that make complicated bugs tractable. The repository combines methodology chapters with practical copy-and-paste recipes and tool recommendations. Dedicated material covers Unix debugging utilities, compiled programs, Python applications, and PyTorch workloads. Topics include tools such as strace, GDB, ldd, nm, profiling utilities, memory investigation, and performance analysis. ... -
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Ansible-lint
Best practices checker for Ansible
Ansible Lint is a command-line tool for linting playbooks, roles and collections aimed towards any Ansible users. Its main goal is to promote proven practices, patterns and behaviors while avoiding common pitfalls that can easily lead to bugs or make code harder to maintain. Ansible lint is also supposed to help users upgrade their code to work with newer versions of Ansible. Due to this reason we recommend using it with the newest version of Ansible, even if the version used in production may be older. As any other linter, it is opinionated. ... -
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Oppia
A free, online learning platform to make quality education accessible
Oppia is an online learning tool that enables anyone to easily create and share interactive activities (called 'explorations'). These activities simulate a one-on-one conversation with a tutor, making it possible for students to learn by doing while getting feedback. Oppia identifies common wrong answers and provides tailored feedback, so that students get a personalized experience. Our lessons keep students engaged through playful characters and use different strategies to solidify their knowledge. Check out our math lessons with proven results! In addition to developing the Oppia platform, the team is also developing and piloting a set of free and effective lessons on basic mathematics. ... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Learn Python Regular Expressions
Learn Python Regular Expressions step by step
...Early chapters explain anchors, alternation, grouping, escaping, character classes, and quantifiers. Later material explores backreferences, lookarounds, flags, Unicode, common tasks, debugging, and regex pitfalls. Hundreds of examples show how each feature behaves in practical text-processing situations. Exercises are provided separately with complete solutions, and an interactive TUI app can be used for additional practice. The book is available as Markdown and a web edition, with PDF and EPUB versions offered separately. -
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xrayutilities
a package with useful scripts for X-ray diffraction physicists
xrayutilities is a python package used to analyze x-ray diffraction data. It can support with performing diffraction experiments and used for common steps in the data analysis. It can read experimental data from several data formats (spec, edf, xrdml, ...); convert them to reciprocal space for arbitrary goniometer geometries and different detector systems (point, linear as well as area detectors); for further processing the data can be gridded (transformed to a regular grid). ... -
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100 Days of Code YouTube
Source code for 100 days of code python course on YouTube
...The repository organizes lessons into numbered folders that progress from basic concepts to advanced language features. Early material covers variables, data types, input, strings, conditions, loops, functions, and common collections. Intermediate lessons explore exceptions, modules, file I/O, functional programming, and extensive object-oriented programming concepts. Later days introduce command-line utilities, generators, regular expressions, AsyncIO, multithreading, and multiprocessing. Exercises and solution days are distributed throughout the sequence so learners can repeatedly apply what they have studied. -
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DIG
A library for graph deep learning research
...If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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python-tutorial
Practical Python tutorials, including Python basics
...It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. Its examples are tested in a Python 3 environment and organized into topic-based directories. The repository also includes notebook-style learning materials for basic data types and core language concepts. It is useful as a structured self-study resource, classroom supplement, or quick reference for practical Python usage. -
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Practice Python
Part of my daily plan for studying Python
...The tasks emphasize real coding over passive reading, nudging you to write, run, and iterate on solutions. Exercises commonly target strings, lists, dictionaries, control flow, functions, classes, and common algorithms, reinforcing idiomatic Python patterns. Many problems are intentionally minimal in boilerplate so you can concentrate on logic and clarity. The collection is well suited to daily practice sessions or warm-ups before tackling more complex projects. It is also friendly for learners returning to Python after time away, helping reacquire muscle memory through repetition. -
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Python Tutorials
Machine Learning Tutorials
...It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches. -
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interactive-coding-challenges
120+ interactive Python coding interview challenges
...The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
...Because the tutorials are concise and practical, the project is widely used in classrooms and self-study environments. Overall, it functions as both a learning curriculum and a quick reference for common PyTorch workflows. -
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Web Security Dojo
Virtual training environment to learn web app ethical hacking.
Web Security Dojo is a virtual machine that provides the tools, targets, and documentation to learn and practice web application security testing. A preconfigured, stand-alone training environment ideal for classroom and conferences. No Internet required to use. Ideal for those interested in getting hands-on practice for ethical hacking, penetration testing, bug bounties, and capture the flag (CTF). A single OVA file will import into VirtualBox and VMware. There is also an Ansible... -
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
...It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. ... -
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A few python functions to read common metrology formats from different instruments: Zygo, MountainView, Digital Surf, .sur
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Network Simulator (fork CORE - Live USB)
Live DVD with CORE network simulator
The Common Open Research Emulator (CORE) is a tool for emulating networks on one or more machines. You can connect these emulated networks to live networks. CORE consists of a GUI for drawing topologies of lightweight virtual machines, and Python modules for scripting network emulation. -
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Learn Python the Hard Way
Concise study notes derived from “Learn Python the Hard Way”
This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. Because the content is intentionally compact, it’s easy to revisit a topic quickly when preparing for interviews or refreshing fundamentals. The material favors clarity over abstraction, keeping examples runnable and easy to modify in any editor. It works well as a companion to more exhaustive books, giving you a lightweight way to drill fundamentals and build muscle memory. -
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SCRAM
Probabilistic Risk Assessment Tool
SCRAM is a free and open source probabilistic risk analysis tool. The tool is under development to include fault tree, event tree, common cause, and other standard analyses. -
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FOSSMMO
To create an open source and openly developed mmorpg
...The second is to develop in an open and well documented way to help others learn the trade of game programming. FOSSMMO will be developed using python. While python is not a common language for game development I'm a fan. Also I recently watched http://pyvideo.org/video/381/pycon-2011--algorithmic-generation-of-opengl-geom which looked amazingly fun and is influencing my selection. -
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Biblio is a school-library-management-system, written in Python, featuring the management of multiple book-copies as common in school-libraries.
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...It permits to configure all services needed by a ltsp server and the individual client configurations. This tool is intended for making the ltsp administration simple to common users.
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The Python scripts for the conversion from the Chinese Pinyin transcription(ISO 7098) to International Phonetic Alphabet(IPA), comprised of a core module for developers and a flexible GUI application for the common end-users on Modern Chinese phonetics.
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APLEpy stands for Algebraic Programming Language Extension for Python. It is an open source alternative to commercial products such as AMPL and GAMS. It offers the same high level of abstraction while keeping the advantages of using Python environment.
