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Back to learning-zone/python-interview-questions

Open-source alternatives to Python Interview Questions

11 open-source projects similar to learning-zone/python-interview-questions, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Python Interview Questions alternative.

  • je-suis-tm/quant-tradingAvatar von je-suis-tm

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    This project is a Python financial analytics framework and quantitative trading library. It provides a suite of mathematical tools for asset pricing, statistical market analysis, and the development of algorithmic trading strategies. The library is distinguished by its focus on currency and commodity correlation modeling, using regression and normalization to identify exchange rate drivers. It features a specialized portfolio optimization engine that applies graph theory, such as clique centrality and degeneracy ordering, alongside quadratic programming to balance risk-adjusted returns. The

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  • jerry-git/learn-python3Avatar von jerry-git

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    6,754Auf GitHub ansehen↗

    This is an interactive Python tutorial delivered as a collection of Jupyter notebooks. It is designed as a structured learning path for beginners, teaching fundamental language concepts through a sequence of lessons that combine explanatory text with runnable code cells and embedded practice exercises. Each notebook is a self-contained unit that introduces a topic, demonstrates it with a minimal code example, and then asks the learner to write code themselves, receiving immediate feedback from the browser-based execution environment. The curriculum is built on a progressive concept-stacking mo

    HTMLjupyter-notebooklearning-pythonpython-exercises
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  • junnplus/awesome-python-booksAvatar von junnplus

    junnplus/awesome-python-books

    4,270Auf GitHub ansehen↗

    :books: Directory of Python books

    booklearning-pythonpython-book
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  • keon/algorithmsAvatar von keon

    keon/algorithms

    25,269Auf GitHub ansehen↗

    This repository is a structured educational archive of classic computer science algorithms and data structures implemented in Python. It serves as a reference library designed for study and technical skill development, providing clean, readable examples of fundamental computational techniques rather than production-ready software components. The project distinguishes itself through its idiomatic approach, utilizing native language features and standard library conventions to demonstrate algorithmic logic clearly. Each implementation is organized into a hierarchical directory structure that mi

    Pythonalgorithmalgorithmscompetitive-programming
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  • leisurelicht/wtfpython-cnAvatar von leisurelicht

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    12,724Auf GitHub ansehen↗

    This project is a Chinese translation of a technical reference and educational resource focused on the Python interpreter. It serves as a collection of case studies and examples designed to explain unintuitive execution patterns, obscure language behaviors, and the internal mechanics of the Python language specification. The resource translates complex technical explanations from English to Chinese to improve accessibility. It focuses on mapping specific code patterns to internal execution logic, linking observed results to language rules to resolve confusing behaviors. The content covers se

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  • mahmoud/awesome-python-applicationsAvatar von mahmoud

    mahmoud/awesome-python-applications

    17,892Auf GitHub ansehen↗

    This project is a curated directory and reference library of open-source Python applications. It serves as a comprehensive index designed to help developers study real-world software architecture, design patterns, and practical implementation strategies through a diverse collection of community-driven projects. The repository distinguishes itself by focusing on the analysis of production-ready software patterns rather than providing a single tool. It offers a structured way to explore how complex features, such as modular plugin systems, configuration management, and various deployment strate

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  • realpython/python-guideAvatar von realpython

    realpython/python-guide

    29,663Auf GitHub ansehen↗

    This project is a comprehensive guide for Python development and application deployment. It provides standardized patterns for coding standards, environment configuration, and the management of language runtimes and package managers across multiple operating systems. The guide features a taxonomic mapping of libraries and third-party tools, organizing curated solutions to match specific technical problems. It establishes preferred tools and patterns for developers while offering alternative options based on project requirements. Coverage extends to the full development lifecycle, including d

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    sigmavirus24/python-interview-questions

    225Auf GitHub ansehen↗

    A listing of questions that could potentially be asked for a python job listing

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  • swaroopch/byte-of-pythonAvatar von swaroopch

    swaroopch/byte-of-python

    2,470Auf GitHub ansehen↗

    Beginners book on Python - start here if you don't know programming

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  • tuvtran/project-based-learningAvatar von tuvtran

    tuvtran/project-based-learning

    270,957Auf GitHub ansehen↗

    A list of programming tutorials in which aspiring software developers learn how to build an application from scratch. These tutorials are divided into different primary programming languages. Tutorials may involve multiple technologies and languages.

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  • vinta/awesome-pythonAvatar von vinta

    vinta/awesome-python

    303,207Auf GitHub ansehen↗

    This project is a comprehensive, community-curated directory that organizes a vast landscape of Python software libraries, frameworks, and tools. It serves as a centralized knowledge base designed to facilitate ecosystem navigation and accelerate developer discovery across the entire software development lifecycle. The directory distinguishes itself by providing a structured index of resources categorized by technical domain, ranging from foundational development utilities to specialized engineering fields. It covers high-level capabilities including artificial intelligence, data science, web

    Pythonawesomecollectionspython
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