193 projects for "analysis" with 2 filters applied:

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  • 1
    Source Code Hunter

    Source Code Hunter

    Source code analysis of Spring, MyBatis, Redis, Netty, and more

    Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated...
    Downloads: 9 This Week
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  • 2
    PocketFlow Tutorial Codebase Knowledge
    ...By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers.
    Downloads: 0 This Week
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  • 3
    Complete-Python-Bootcamp

    Complete-Python-Bootcamp

    The complete Python bootcamp guide

    ...Later sections dive into advanced Python concepts, including memory management, multithreading, and multiprocessing, giving learners exposure to performance and concurrency topics that many beginner courses skip. The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks.
    Downloads: 1 This Week
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  • 4
    Interviews

    Interviews

    Comprehensive computer science and interview preparation guide

    Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and...
    Downloads: 5 This Week
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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  • 5
    LeetCode Book

    LeetCode Book

    Comprehensive study guide for coding interviews

    LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include...
    Downloads: 4 This Week
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  • 6
    Complete-Python-3-Bootcamp

    Complete-Python-3-Bootcamp

    Course Files for Complete Python 3 Bootcamp Course on Udemy

    ...In addition, it includes applied exercises in areas such as web scraping, working with APIs, and using Python libraries like NumPy, pandas, Matplotlib, and Seaborn for data analysis and visualization. Learners can progress from beginner-friendly basics to more advanced programming skills while reinforcing their knowledge with practice problems and projects. Because it mirrors the course content, this repository is widely used by students taking the Udemy course.
    Downloads: 4 This Week
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  • 7
    Book5_Essentials-Probability-Statistics

    Book5_Essentials-Probability-Statistics

    The book 5 of statistics in simplicity

    Book5_Essentials-of-Probability-and-Statistics is a Visualize-ML educational volume that introduces the statistical and probabilistic concepts underpinning modern data analysis and machine learning. The repository explains topics such as distributions, sampling, inference, and uncertainty using visual demonstrations and intuitive narratives. Its teaching philosophy prioritizes conceptual clarity over heavy formalism, making statistical thinking more approachable for beginners. The material connects probability theory directly to real analytical workflows, helping learners understand how statistics supports predictive modeling. ...
    Downloads: 0 This Week
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  • 8
    TechCPP

    TechCPP

    C++ learning and interview guide aimed at back-end systems developers

    TechCPP is a comprehensive C++ learning and interview guide aimed at back-end and systems developers preparing for professional roles. It gathers frequently asked concepts and deep dives—value categories (lvalue/rvalue), perfect forwarding, casts, memory models, atomics, and more—into a structured, readable format. The material goes beyond syntax to discuss performance, optimization techniques, and how standard library containers are implemented under the hood. You’ll also find practical...
    Downloads: 0 This Week
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  • 9
    Self Hosting Guide

    Self Hosting Guide

    Learn all about locally hosting (on premises & private web servers)

    The Self Hosting Guide repository is a comprehensive, community-curated handbook for individuals and teams who want to deploy and manage their own self-hosted services — from applications and infrastructure to networking and security. It covers conceptual guidance on why self-hosting can be advantageous (e.g., privacy, control, cost savings) as well as detailed, actionable instructions on setting up popular services such as web servers, media servers, home automation stacks, VPNs, backups,...
    Downloads: 0 This Week
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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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  • 10
    Python Zero to Hero for DevOps Engineers

    Python Zero to Hero for DevOps Engineers

    Learn Python from DevOps Engineer point of you

    ...The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It places a strong emphasis on DevOps-specific use cases: environment variables, command-line arguments, configuration handling, and automating log analysis or user management tasks are all explicitly woven into the exercises. As you progress, you encounter increasingly rich Python features such as lists (with list comprehensions), dictionaries, sets, operators, and control flow, always tied back to practical automation or infrastructure examples.
    Downloads: 0 This Week
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  • 11
    Perfect Roadmap To Learn Data Science

    Perfect Roadmap To Learn Data Science

    Basic To Intermediate Python data science guide

    Perfect Roadmap To Learn Data Science In 2025 is an extended, updated learning pathway curated for the modern data-science landscape — blending classical data-analysis, statistics, machine learning, deep learning, computer vision, NLP, as well as current deployment and MLOps practices to prepare learners for data-science careers in 2025. The roadmap is organized to guide learners systematically: starting with Python fundamentals and math/statistics, then progressing through classical machine-learning, deep-learning, data preprocessing, feature engineering, and onto domain-specific applications like computer vision or NLP, ending with deployment, real-world project construction, and best practices for production readiness. ...
    Downloads: 0 This Week
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  • 12
    Java Modelling Tools is a suite of scientific tools for performance analysis and modelling using queueing theory and colored stochastic Petri nets. Models are solved either with analytical, asymptotic or simulation methods; workload characterization tools are also included in the suite. See the project website for more details: http://jmt.sf.net
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    Downloads: 85 This Week
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  • 13
    Quite Universal Circuit Simulator

    Quite Universal Circuit Simulator

    A circuit simulator with graphical user interface (GUI)

    Qucs is a circuit simulator with graphical user interface. The software aims to support all kinds of circuit simulation types, e.g. DC, AC, S-parameter, Transient, Noise and Harmonic Balance analysis. Pure digital simulations are also supported.
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    Downloads: 1,062 This Week
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  • 14
    xoscope is a digital oscilloscope using input from a sound card or EsounD and/or a ProbeScope/osziFOX and will soon support Bitscope hardware. Includes 8 signal displays, variable time scale, math, memory, measurements, and file save/load.
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    Downloads: 35 This Week
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  • 15
    Libro

    Libro

    An interactive program for statistical analysis of texts

    A cross-platform text analysis program written in Python and Free Pascal/Lazarus which scans a whole text file (in plain text, HTML, EPUB, or ODT formats) and ranks all used words according to frequency, performing a quantitative analysis of the text using Shannon-Weaver information statistic and Zipf power law function. It counts words, sentences, chars, spaces, and syllables.
    Downloads: 2 This Week
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  • 16
    Digital Forensics Guide

    Digital Forensics Guide

    Learn all about Digital Forensics and Computer Forensics

    The Digital Forensics Guide repository is a comprehensive, structured reference for investigators, analysts, students, and cybersecurity professionals interested in digital forensics principles, tools, methodologies, and workflows. It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis.
    Downloads: 4 This Week
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  • 17
    Object-oriented crystallographic library and program, for the analysis of Crystal structures from scattering experiments: optimized scattering computation, Graphical interface for structures and data, global optimization algorithms.
    Downloads: 8 This Week
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  • 18
    DVA-Profession

    DVA-Profession

    Mass video digitization workflow management for archiving

    Professional digital video archiving system solution, developed and used by the Austrian national audio/video archive, designed to handle vast amounts of video content from ingest to long-term storage, including analysis, transcoding and metadata.
    Downloads: 1 This Week
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  • 19

    Glove

    Data analysis tool

    Glove provides an interface to data acquisition systems, sophisticated (and correct) statistical analysis, a plotting tool, and the ability to easily manipulate the data. Its modular design allows plug-ins for acquisition, manipulation, and analysis. ChangeLog: http://glove.sourceforge.net/ChangeLog.html
    Downloads: 0 This Week
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  • 20
    Python Data Science Handbook

    Python Data Science Handbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    ...Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. Users can also launch the notebooks in Google Colab or Binder directly, making it extremely accessible.
    Downloads: 12 This Week
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  • 21
    data-science-on-gcp

    data-science-on-gcp

    Source code accompanying book: Data Science on the GCP

    ...It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. The repository is organized into multiple directories that reflect real-world pipelines, such as ingesting data, running SQL-based analytics, streaming data processing, using Spark and Dataproc, applying BigQuery ML, and deploying models with Vertex AI. It emphasizes practical, production-oriented workflows rather than isolated examples, showing how different Google Cloud services interact to form cohesive pipelines.
    Downloads: 0 This Week
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  • 22
    Data Analysis for the Life Sciences

    Data Analysis for the Life Sciences

    Rmd source files for the HarvardX series PH525x

    This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. The repo is licensed under MIT, allowing reuse and modification. ...
    Downloads: 0 This Week
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  • 23
    ...Base on PHP and MySQL so you can put this application on intranet or internet web in simply way. Custumable test, Time control, Personalize information, realtime result. Item Test Analysis, Item T
    Downloads: 0 This Week
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  • 24
    Stats With Julia Book

    Stats With Julia Book

    Collection of runnable Julia code examples for a statistics book

    ...It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. ...
    Downloads: 0 This Week
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  • 25
    Quantitative-Notebooks

    Quantitative-Notebooks

    Educational notebooks on quantitative finance, algorithmic trading

    Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. ...
    Downloads: 0 This Week
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