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Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
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Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
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AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
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Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
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Integrated Development Environments (IDEs) are software programs which provide an integrated environment for a programmer to develop their code. The IDEs usually provide tools such as a text editor, compiler, and debugger. They are designed to increase productivity by allowing programmers to work on multiple components of their project in the same environment. IDEs also typically offer features such as syntax highlighting, suggestions for identifiers, and auto-completion that aid in coding accuracy.
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Application development software is a type of software used to create applications and software programs. It typically includes code editors, compilers, and debuggers that allow developers to write, compile, and debug code. It also includes libraries of pre-written code that developers can use to create more complex and powerful applications.
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3 Products for "python decompiler" with 4 filters applied:

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  • 1
    Studio 3T

    Studio 3T

    Studio 3T

    ...Break down aggregation queries into manageable steps and build them stage by stage, for easier debugging and querying. Generate instant code in JavaScript (Node.js), Java (2.x and 3.x driver API), Python, C#, PHP, and Ruby from MongoDB and SQL queries that you can copy and paste into your application. Save MongoDB imports, exports, data comparisons, and migrations as tasks that you can run on demand. Or even better, skip the reminders and schedule them to run exactly when you need them. Make changes to your collection’s schema in just a few clicks, perfect for schema performance tuning, restructuring, or cleaning up after data migration.
    Starting Price: $499/year/user
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  • 2
    KDevelop
    ...It provides editing, navigation and debugging features for several programming languages, as well as integration with multiple build systems and version-control systems, using a plugin-based architecture. KDevelop has parser backends for C, C++ and Javascript/QML, with further external plugins supporting e.g. PHP or Python. KDevelop Windows installers are also available to download from the binary-factory. These versions don’t contains the translations and are intended for testing purpose. Get involved and help us making them better! This release brings half a year of work, focused mainly on stability, performance, and future maintainability. Many existing features have received small improvements again, and there is one highly-visible addition, optional display of inline notes for problems at the end of the line.
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  • 3
    Qt Creator

    Qt Creator

    Qt Group

    Qt Creator's advanced code editor lets you code in C++, QML, JavaScript, Python and other languages. It features code completion, syntax highlighting, refactoring and has built-in documentation at your fingertips. Qt Creator integrates with most popular version control systems, including Git, subversion, perforce, and mercurial. Integrated visual editors for building C++ widget-based applications or fluid Qt Quick-based animated UIs with ready-made controls.
    Starting Price: $83 per month
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