Alternatives to gevent

Implementation of the WebSocket Protocol. RFC 6455 & RFC 7692. websockets is an open-source library that allows you to build WebSocket clients and servers in Python. It focuses on correctness and simplicity, robustness and performance. It is built on top of Python's standard asynchronous I/O framework asyncio and provides an elegant coroutine-based API. websockets has been rigorously tested to ensure compliance with RFC 6455. Continuous integration fails below 100% branch coverage. websockets was designed for production. It was the first library to correctly handle backpressure before the issue became well-known in the Python community. Memory usage is optimized and configurable. C extensions accelerate expensive operations. It is pre-compiled for Linux and macOS and packaged in the wheel format according to each Python version. websockets handles everything so you can concentrate on your application.

Seaborn is a Python data visualization tool that uses matplotlib. It provides a high-level interface to draw attractive and informative statistical graphs. The paper and introductory notes provide a brief overview of the library's ideas. To download the package and get started, visit the installation page. To see some of the seaborn-related tasks, you can look through the example gallery. Then, check out the tutorials and API reference. Visit the GitHub repository to view the code and report a bug. You can find general support questions on StackOverflow. There is also a channel for seaborn.

The Python multi-platform windowing and multimedia library. pyglet, a powerful and easy-to-use Python library, allows you to create games and other visually rich applications on Windows, Mac OS X and Linux. It supports windowing, user event handling, Joysticks and OpenGL graphics. It also supports loading images and videos. This is all done with a friendly Pythonic API that's easy to use and doesn't get in the way. pyglet is available under the BSD open source license. This allows you to use it for commercial and open-source projects without restriction. No external dependencies or installation requirements. pyglet doesn't require any additional Python to meet most application or game requirements. This simplifies distribution and installation. This makes it easy for you to package your project using freezers like PyInstaller. pyglet offers real platform native windows that allow you to use multiple windows and multi-monitor desktops.

CVXOPT, a free software package that allows convex optimization using the Python programming language, is available for download. It can be used with Python's interactive interpreter, the command line to execute Python scripts or integrated into other software via Python extension module. Its primary purpose is to simplify the development of software for convex optimization by using Python's extensive standard library as well as the strengths of Python, a high-level programming languages. Efficient Python classes that can handle dense and sparse (real and complicated) matrices. Includes Python indexing, slicing, and overloaded operations for matrix mathmetic. Interfaces to the linear programming solution in GLPK, semidefinite programming solvers DSDP5 and linear, quadratic, and second-order cone programming solutions in MOSEK.

Openpyxl is an open-source Python library that can read/write Excel 2010 files xlsx/xlsm/xltx/xltm. It was created because there wasn't an existing library that could natively read/write Python in the Office Open XML format. Openpyxl was originally built on PHPExcel. All credit to the PHPExcel team. Openpyxl doesn't guard against quadratic blowup attacks or billion laughs XML attacks by default. Defusedxml can be installed to protect against these attacks. Install openpyxl with pip This should be done in a Python virtualenv with no system packages. Sometimes, you may want to work with a particular version's checkout. This could be true if bugs have been fixed, but no release has been made. To get started with openpyxl, you don't need to create a file in the filesystem. Simply import the Workbook class to get started. When a sheet is created, it automatically gives it a name. You can give a worksheet a name to make it a key in the workbook.

Shadcn/ui, an open-source collection of beautifully designed components, is accessible and customizable. Developers can easily integrate them into their applications. These components, built with Tailwind CSS and designed for copying and pasting are easy to use, allowing rapid development without compromising design quality. The library includes a wide range of components such as buttons, sidebars and avatars. Tabs and charts are also included. All components are designed to be both aesthetically pleasing and functionally excellent. Shadcn UI focuses on composability, theming and customization. Developers can tailor components to match specific project requirements or branding guidelines. The platform offers comprehensive documentation and examples to help developers implement and customize components within their projects. Shadcn's UI allows developers to create user interfaces faster, while ensuring consistency and accessibility.

Pandas is an open-source data analysis and manipulation tool that is fast, flexible, flexible, and easy to use. It was built on top the Python programming language. Tools for reading and writing data between memory data structures and various formats: CSV, text files, Microsoft Excel, SQL databases and the fast HDF5 format. Intelligent data alignment and integrated handling missing data: Use a powerful group engine to perform split-apply/combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. You can even create domain-specific offsets and join time sequences without losing data.

PyQtGraph is a pure Python graphics and GUI library based on PyQt/PySide or NumPy. It is intended for use in mathematics/scientific/engineering applications. Although written entirely in Python, the library is extremely fast thanks to its heavy use of NumPy to perform number crunching and Qt GraphicsView framework for fast display. PyQtGraph is available under the MIT open source license. Interactive view boxes for basic 2D plotting. Line and scatter plots. Data can be scaled/panned with the mouse. Rapid drawing allows for real-time data display. Displays all data types (int, float, any bit depth, RGB, RGBA or luminance). Multidimensional images can be sliced at arbitrary angles using these functions (great for MRI data). Rapid update for video display and real-time interaction Image display with interactive level control and lookup tables. Mesh rendering with isosurface generator. Interactive viewports can be rotated/zoomed with the mouse. For easier programming, use the basic 3D scenegraph.

Ant Design is an enterprise-class Angular UI component collection. All components are open-source and available under the MIT license. Ant Design of Angular aims to provide a great development experience for programmers. This StackBlitz link demonstrates a basic use-case. It is recommended that you fork this demo while working on Bug Report. This demo should not be used as a scaffold in a production environment. After changing the directory to your newly created project, you will be able to run the following commands to initialize your project's configuration. These include importing stylesheets and i18n files, and loading the initial modules. To customize the building process, you can use any existing scaffold tools from the Angular ecosystem.

Kendo UI is the ultimate collection JavaScript UI components, including libraries for jQuery and Angular as well as Vue and React. Quickly build eye-catching, high-performance, responsive web applications--regardless of your JavaScript framework choice.

Microsoft is committed to ensuring that WinJS runs for existing customers. We don't plan to invest in new features. Only bug fixes that address major issues that are preventing customer deployments will be considered. We may also consider bug fixes in order to assist customers with their WinJS-based apps. Contribute by reviewing code checkins and providing feedback, suggesting new features and testing them out as they are implemented. You can also submit bugs and help us verify fixes as they are tested. All code submissions will undergo rigorous review and testing by the team. Only those that meet a high standard for quality and design appropriateness, will be merged into source.

There are over 80 Angular UI components that will help you implement your UI needs in style. You can choose from many themes, such as material, tailwind, primeone or bootstrap, and they are all designed on a design-agnostic architecture. You can easily create amazing applications with the 280+ ready to copy-paste UI blocks. The designer is the ultimate tool for creating your PrimeNG experience. It uses a SASS-based theme engine that has 500+ variables and a visual developer. Professionally designed, highly customizable templates for application development. PrimeTek's open source products are used by millions of developers all over the globe. This is the ultimate collection of UI components for you, with over 90+ Angular components. Get connected with other members of the open source community, collaborate, and be a part of the project roadmap. You can increase your productivity and achieve amazing results by working faster.

Ruffus is a Python computation pipeline library. It is open-sourced and powerful, user-friendly, and widely used for science and bioinformatics. Ruffus was designed to automate scientific and other analyses with minimal fuss and effort. It is suitable for even the most basic tasks. Even complex pipelines can be handled. This will prevent make or scons from becoming cross-eyed and recursive. No "clever magic", no pre-processing. The lightweight syntax, which does one small thing well, is unambitious. Ruffus is licensed under the permissive MIT-free software license. This license allows for free use and inclusion in proprietary software. It is a good idea to run your pipeline in a temporary directory that is not connected to your original data. Ruffus is a lightweight Python module that can be used to build computational pipelines. Ruffus requires Python 2.6 and higher, or Python 3.0 and higher.

Matplotlib is a Python library that allows you to create interactive, animated, or static visualizations. Matplotlib makes difficult things simple and easy. Many third-party packages extend and build upon Matplotlib functionality. These include several higher-level plotting interfaces such as seaborn, HoloViews and ggplot.

Pygame is a collection of Python modules that can be used to create video games. Pygame is an extension of the SDL library. This allows you create full-featured games and multimedia programs using the python programming language. Pygame is portable and can be used on almost every platform and operating system. Pygame is completely free. Pygame is free and open-source. You can use it to create commercial, freeware, shareware, or open-source games. Dual-core CPUs are common and 8-core CPUs easily available on desktop systems, multi-core CPUs allow you to do more with your game. Select pygame functions will release the dreaded Python GIL. This is something you can do with C code. Optimized C and assembly code are used for core functions. C code is often 10-20x faster than Python code, while assembly code can easily be 100x faster than Python code. It is compatible with many operating systems. You just need to apt-get or emerge.

Properties allow you to access all URL parts, such as scheme, user password, host, path, query, path, port, and password. All URL manipulations result in a new URL object. Strings passed to constructor or modification methods are automatically encoded and give canonical representations as a result. Regular properties are percent-decoded. To get encoded strings, you can use raw_ versions. As.human_repr(), URLs can be represented in a human-readable format. PyPI has binary wheels for Linux and MacOS. You can use the tarball to compile yarl from the source code if you want to install it on another operating system (such as Alpine Linux, which isn't manylinux-compliant due to the missing glibc). It requires Python headers and a C compiler. The pure-Python version (uncompiled) is slower. PyPy uses a pure Python implementation and is therefore unaffected by this variable.

python_docx is a Python library that allows you to create and update Microsoft Word (.docx), files. Word's fundamental structure is the paragraph. They are used for body text as well as headings and list items such bullets. Although you can specify width and height, it is not recommended. If you only specify one, python docx uses it for the correct scaled value of both. This ensures that your image doesn't look stretched and preserves the aspect ratio. You should learn what a Word paragraph format is. It allows you to apply multiple formatting options to a paragraph at a time. Python-docx can be used to create new documents and make changes to existing documents. It only allows you to make changes to existing documents. However, if you start with a blank document, it may feel like you are creating one from scratch.

Tox aims automate and standardize Python testing. It is part of a larger vision to simplify the packaging, testing, and release of Python software. Tox is a generic virtualenv management tool and test command-line tool that you can use to verify that your package works with different Python versions. You can also run your tests in each environment. It also acts as a frontend for continuous integration servers, reducing boilerplate and merging CI. First, install tox using pip install tox. Next, add basic information about your project as well as the test environments that you would like your project to run into a tox.ini.py file. To generate a tox.ini automatically, run tox-quickstart. Answer a few questions. Test your project against Python2.7 or Python3.6.

WTForms allows you to easily validate and render forms for Python web development. It works with any web framework or template engine. It supports data validation, CSRF Protection, Internationalization (I18N), among other features. There are many community libraries that allow for closer integration with popular frameworks. WTForms strives to make APIs as easy as possible. WTForms can be used by a variety of libraries. However, if a library is not listed it doesn't necessarily mean it won't work. Any ORM or object-DB should be able to work as long as they allow access to members via data objects. WTForms uses unicode string throughout the source code. It assumes that input to forms has been forced to unicode by your framework. WTForms fields default to unicode strings. As long as your templating engine is capable of handling that, you should not have unicode issues.

The NumPy vectorization and indexing concepts are fast and flexible. They are the current de-facto standard in array computing. NumPy provides comprehensive mathematical functions, random numbers generators, linear algebra routines and Fourier transforms. NumPy is compatible with a wide variety of hardware and computing platforms. It also works well with sparse array libraries, distributed, GPU, or GPU. NumPy's core is C code that has been optimized. Enjoy Python's flexibility with the speed and efficiency of compiled code. NumPy's high-level syntax makes it easy for programmers of all backgrounds and experience levels. NumPy brings the computational power and simplicity of languages such as C and Fortran into Python, making it a language that is much easier to learn and to use. This power is often accompanied by simplicity: NumPy solutions are often simple and elegant.

Bokeh allows you to create simple plots but can also handle custom or specialized use cases. Apps, dashboards and plots can be published on web pages or in Jupyter notebooks. Python offers a wide range of powerful analytics tools, including NumPy and Scipy, Pandas. Scikit-Learn, OpenCV and Scikit-Learn. Bokeh server allows you to connect these tools to rich interactive visualizations in your browser. It has a wide range of widgets, plot tools and UI events that trigger Python callbacks. Researchers at Monash University maintain Microscopium. Researchers can use it to explore large image datasets using Bokeh's interactive tools. Panel is a tool that allows for polished data presentation and makes use of the Bokeh server. Anaconda created it and supports it. Panel allows you to easily create interactive web apps and dashboards using user-definable widgets. These widgets can be connected to plots, images or tables, text, or any other data.

The Pylons web framework was designed to make it easy and quick to build web applications and websites. They can be as simple as one Python module or as complex as a directory layout for larger, more complex web applications. Pylons includes project templates to help you set up a new web app project. Or, you can create your own and customize it as you wish. This framework makes it easy to write Python web applications. It is simple to expand on the minimalist, component-based philosophy. Use existing Python knowledge. Extensible application design. High performance, fast and efficient with a very small per-request stack. Uses well-tested Python packages. The Pylons 1.0 series is stable, production-ready, but in maintenance-only mode. The Pylons Project maintains the Pyramid web framework to support future development. Pylons 1.0 users are strongly encouraged to use Pyramid for their next project.

statsmodels is an Python module that provides classes, functions, and methods for the estimation of various statistical models. It also allows for statistical data exploration and statistical tests. Each estimator has a comprehensive list of available result statistics. To ensure accuracy, the results are compared to existing statistical packages. The package is available under the Modified BSD (3 clause) license. statsmodels allows you to specify models using R-style formulas or pandas DataFrames. To see the available results, take a look at dir (results). Results describe attributes. __doc__, results methods have their own documentation strings. Numpy arrays can be used in place of formulas. Installing statsmodels as part of the Anaconda distribution is the easiest way to do so. This cross-platform distribution allows for data analysis and scientific computing. This is the preferred method of installation for most users.

The h5py package provides a Pythonic interface for the HDF5 binary data format. It allows you to store large amounts of numerical data and allow you to easily manipulate that data using NumPy. You can cut into multi-terabyte datasets on disk as if they were NumPy arrays. You can store thousands of datasets in one file. You can categorize and tag them however you like. H5py makes use of simple NumPy and Python metaphors like dictionary syntax and NumPy array syntax. You can, for example, iterate over files or examine the.shape and.dtype attributes of data. To get started, you don't need any knowledge about HDF5. In addition to an easy-to-use interface, h5py relies on an object-oriented Cython wrap of the HDF5 CAP API. You can do almost anything from C in HDF5 with h5py.

JDeli can read and write images in HEIC format. It also provides a complete HEIC conversion between HEIC file formats and many other image file formats. JDeli can convert the image in one step. You can also read and write the HEIC file separately if you need to process the image using Java. Threading can improve the performance of your code reading and writing. JDeli can be used with threads, unlike ImageIO. JDeli has a similar API to ImageIO. It is also easy to switch between the two in your code. JDeli is actively being developed by IDRsolutions' development team, who use it in their other products. Unable to add a platform dependence? JDeli is 100% Java, and does not require plugins or native dependencies.

Scapy is an interactive packet manipulation program. It can forge and decode packets from a variety of protocols, send them over the wire, capture them and match requests and responses. It can handle most of the classic tasks such as scanning, tracerouting and probing, attacks, or network detection (it can replace Hping, 85% nmap, arpspoofsk, arping), tcpdumpshark, p0f and tshark). It can also handle a lot more specific tasks than most other tools, such as sending invalid frames, injecting 802.11 frames, combining technologynics (VLAN hopping+ARP caching poisoning, VOIP descoding on WEP encrypted channel), and so forth. Scapy works natively on Linux and Windows as well as OSX and most Unixes that have libpcap. The same code base runs natively on Python 2 and Python 3 Scapy development uses Git version control system. The GitHub repository hosts the Scapy reference repository.

Bootstrap your application using beautiful Material Design components React Toolbox is a collection of React components that implements the Google Material Design specification. It is built on top of some of today's most popular proposals, such as CSS Modules (written using SASS, Webpack, and ES6). The library seamlessly integrates with your Webpack workflow. It's also easily customizable and flexible. Check out our amazing documentation, which is built using React Toolbox. You can also try all the components with real examples. Our components are so much fun that you don't even need to install them. The app bar is a unique type of toolbar that can be used for branding, navigation and search as well as actions. It usually has controls on the right- and left-sides, as well as a title that displays the current section or the app name. The content should contain elements for children. You can use text, images, or both to create content that is consistent with your app's colors theme.

IMSL numerical libraries can improve performance and reduce development time. IMSL's tools allow you to achieve your strategic goals. Your IMSL library can be used to model regression, create decision trees, build neural networks, forecast time series, and make decisions. The IMSL C Numerical Library has been proven reliable and robust across all industries. It provides companies with a high-ROI solution to building cutting-edge analytics tools. The IMSL C Numerical Library is able to quickly add sophisticated functionality to your analytic applications, including data mining, forecasting, and advanced statistical analysis. Integration and deployment are easy with the IMSL C library. Easy migrations, support common platforms and combination of platforms, and no additional infrastructure to embed in applications or databases, all possible with the IMSL C library.

Flowbite, an open-source library for interactive UI components, is built on Tailwind CSS. It was designed to speed up web development through a comprehensive collection of pre-designed elements. It includes over 56 components, such as buttons, alerts and breadcrumbs. Interactive elements, like dropdowns and modals are also available. Developers can integrate Flowbite with Tailwind CSS projects using npm or CDN. It supports various frameworks including React, Vue.js Angular and Next.js. The library includes a Figma system that allows designers to prototype and design apps before development. Flowbite Pro is available for those who want advanced features. It includes additional components and templates. Flowbite Blocks provides over 450 website components and advanced UI elements built with Tailwind CSS.

dbExpress, a database-independent layer, provides fast access to SQL database servers using C++Builder and Delphi on Windows and macOS (32/64-bit and 64/64-bit), and Linux (64/64-bit). dbExpress provides a driver for each supported server. This independent library implements the common interfaces of dbExpress for processing queries and stored procedure. dbExpress is simple and thin, and provides high-performance database connectivity. It is also easy to deploy. Our drivers can be used in the same manner as Embarcadero's.

Bit is a collaborative and scalable way to create and reuse components. It provides everything you need, from local development to cross-project integrations. It's free to try. Bit is an open-source toolchain that allows for component-driven development. Distribute composable software instead of monolithic apps. Distribute component ownership across development teams. Components are simple to replace and refactor. Develop consistency and standards across products and teams. Instead of reinventing the wheel, combine existing components to create new ones. Create a reusable design system and UI. Develop a consistent and reusable UI system. Code and teams should be distributed. Encourage autonomy and standardization. Scale to cross-team collaboration. This will bridge the gap between product design, development, and design. A composable and scalable backend that doesn't repeat itself is possible.

Altair Engineering, Inc. is not affiliated with the Vega-Altair open-source projects. Altair's API is easy to use, consistent, and friendly. It is built on top VegaLite's powerful visualization grammar. This simple design produces beautiful and efficient visualizations with minimal code. The idea behind linking data columns to visual encoding channels is the key. All other details of the plot are handled automatically. This declarative plotting idea allows for a surprising variety of plots and visualizations. It is possible to create them using relatively simple grammar.

Nevron Open Vision is a suite that includes advanced components to enable.NET application development using WinForms, WPF and Xamarin.Mac. All components are cross-platform. NOV makes it easier to develop with.NET. It allows you to write UI code that runs on Windows or Mac OS X with no modifications. NOV offers a consistent windowless UI experience, which allows for efficient and fast management of UI resources. It also supports 4K-enabled interfaces. All controls are GPU-accelerated. Besides quality common UI controls (buttons, checkboxes, list boxes, tree view, etc.) NOV also contains class-leading heavy controls like Barcode, Chart and Diagram, Gauge Grid, Rich Text Editor, and Scheduler. All controls in the suite can be implemented as native NOV controls or platform-specific controls like WinForm, WPF or Xamarin. You can drag and drop Mac controls to your forms. All UI controls found in the suite are free.

Leaflet is the most popular open-source JavaScript library to create mobile-friendly interactive maps. It is only 42KB in size and has all the mapping features that most developers need. Leaflet was designed to be simple, fast, and easy to use. It is compatible with all major mobile and desktop platforms. It can be extended with many plugins. It has a beautiful, well-documented API that is easy to use and readable source code that makes it easy to contribute. Leaflet isn't trying to be everything to everyone. Leaflet focuses on the essentials and makes them work perfectly. Mobile apps feel as smooth as native apps thanks to hardware acceleration. CSS3 features are used to make zooming and panning very easy. It's very fast thanks to smart polyline/polygon rendering that includes dynamic clipping and simplifying. Modular build system allows you to leave out features that you don't use. Mobile tap delay elimination

MUI provides a complete suite of UI tools that will help you get new features out the door faster. Material UI is our fully-loaded component library. You can also bring your design system to our production-ready parts. You can build at a faster pace without losing flexibility or control. Every component is available for production. You can easily create beautiful UIs. You can start with Google's Material Design or create your own theme. Our components are as versatile as they are powerful. You have complete control over how your components look and behave. We believe in building for all. Every new feature we release is accessible to everyone. Discover why thousands of open-source developers and teams around world trust MUI's tools. Access a growing number of components that are ready-to-use, completely free, and always accessible. We have created the foundational UI blocks to your design system so that you don't need to.

Many domains have shown program autotuning to be more efficient and portable. Autotuners are not always portable between projects. This is because they need to be able to use a domain-informed search space representation. Also, no single search technique will work for all problems. OpenTuner is a new framework that allows you to create multi-objective, domain-specific program autotuners. OpenTuner allows for fully customizable configuration representations and extensible technique representations to allow for domain-specific methods. It also provides an easy-to use interface for communicating with the tuned programs. OpenTuner allows you to use multiple search techniques simultaneously. Techniques that perform well will get larger testing budgets while techniques that perform poorly will be disabled.

We have put a lot of effort into making ngx_bootstrap modular. This allows you to implement your templates, styles, and whatnot. All components are designed with adaptability and extensibility in mind. They will work on both Mobile and Desktop with equal performance. To improve code readability and maintainability, we have included a set style guidelines and guidelines. We provide full coverage for unit-test coverage and support all Angular versions. We are developers ourselves so we know the importance of documentation. Documentation that is well-written and regularly updated can greatly simplify the lives of developers and improve the quality of software. We do our best to provide the best documentation possible. You need to understand what you are getting when working with visually rich libraries. We have created a set of great demos for the majority of the component's methods.

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High performance computing has become a more affordable resource for researchers in the scientific community over the past years. The popularity of clusters of workstations and clusters of Beowulf classes has been strongly influenced by the combination of high quality open-source software and cheap hardware. Message-passing is one of the most effective parallel computational models. This paradigm is especially suited for distributed memory architectures. It is used in today’s most complex engineering and scientific applications related to modeling, simulation and design. Because of the incompatible options developers had to choose from, portable message-passing parallel programming used to be a nightmare. This situation has changed significantly since the MPI Forum published its standard specification.

SQL Server offers unparalleled performance and endless possibilities. SQL Server Data Access Components is a collection of components that allows native connectivity to SQL Server using Delphi and C++Builder, including Community Edition. It also includes Lazarus (and Free Pascal), for Windows, Linux and macOS, iOS, Android, and Android for 32-bit and 64 bit platforms. SDAC-based applications can connect to SQL Server directly via OLE DB, which provides a native interface to SQL Server. SDAC is intended to make it easier for programmers to create SQL Server database applications faster and cleaner. SDAC is a high-performance and feature-rich SQL Server connectivity option that can be used to replace standard SQL Server connectivity solutions. It offers an efficient native alternative for the Borland Database Engine, (BDE), and standard dbExpress driver to access SQL Server. SDAC-based DB apps are easy to install and do not require additional data provider layers.

The Python Imaging Library provides image processing capabilities for your Python interpreter. This library supports many file formats, an efficient internal representation, as well as powerful image processing capabilities. The core image library allows for quick access to data stored only in basic pixel formats. It should be a solid foundation for an image processing tool. Tidelift subscribers can get Pillow for Enterprise. The Python Imaging Library is perfect for batch processing and image archival applications. The library can be used to create thumbnails, convert file formats, and print images. The current version can identify and read a wide range of formats. The most common interchange and presentation formats are the only ones that support writing. The library includes basic image processing functionality such as point operations, filtering using a set of convolution kernels and color space conversions.

The ROOT data analysis framework can be used extensively in High Energy Physics (HEP). It also has its own output format (.root). ROOT can be interfaced with C++ software. pyROOT is a Python software tool. Unfortunately, pyROOT is not compatible with python3.4. broot is a small library which converts data from python numpy to ROOT files. These ROOT files contain trees with a branch each array. This library provides a generic way to convert python numpy datastructures into ROOT files. The library should be portable, and it should support python2, ROOT v5 or ROOT v6 (no modifications to the ROOT part required). The library should be easy to install. Users will only need to compile the library once.

Imageio is an image library written in Python that allows you to easily read and write a variety of image data including animated images, volumetrics data, and scientific formats. It runs on Python 3.5+ and is cross-platform. Imageio is written entirely in Python, making it easy to install. Imageio is compatible with Python 3.5+. It works with Pypy. Imageio is dependent on Numpy, Pillow. For some formats, imageio needs additional libraries/executables (e.g. Imageio can help you download/install ffmpeg. You need to know where to look for the causes of problems if something doesn't work. This overview will help you understand how things work and where they might go wrong.

It uses a familiar, non XML syntax and compiles into Python modules to maximize performance. Mako's syntax borrows from many other sources, including Jinja2 templates, Cheetah and Myghty, as well as the best ideas of Genshi and Django. Conceptually Mako is embedded Python (i.e. Python Server Page) language. It refines the familiar ideas o componentized layout and inheritance to create one of the most flexible and straightforward models. While still keeping close ties to Python scoping and calling semantics, Mako is conceptually an embedded Python (i.e. Mako's method is very efficient, and was originally designed to be as fast as Cheetah. Today Mako is very similar in speed to Jinja2, who uses a similar approach, and for which Mako was an inspiration. You can access variables from the template's request context as well as their enclosing scope.

urllib3 is a powerful and user-friendly HTTP client that Python uses. You should use urllib3 as a client for your Python environment. Many critical features are missing from the Python standard library, and urllib3 provides them. Thread safety, connection pooling and client-side SSL/TLS verification. Multipart encryption is used for file uploads. Helpers for dealing with HTTP redirects and retrying requests. Support for deflate, gzip, and brotli encryption. Proxy support for HTTPS and SOCKS. 100% coverage of the test. urllib3 is one the most downloaded Python packages. It is a dependency on many popular Python packages such as Requests, Pip and more! urllib3 is available under the MIT License. API Reference documentation provides API-level documentation. The User Guide explains how to use the library to accomplish common tasks. For lower-level tweaking, the Advanced Usage Guide is a more detailed guide.

Cryptography can include both high-level instructions and low-level interfaces for common cryptographic algorithms like symmetric ciphers and message digests. Use cryptography's high level symmetric encryption recipe to encrypt. Cryptography can be broadly divided into two levels. One that uses safe cryptographic recipes and requires very few configuration options. These are safe and simple to use, and don't require developers make many decisions. The second level is low-level cryptographic primitives. These can be dangerous and could be misused incorrectly. These require the ability to make decisions and have a deep understanding of cryptographic concepts. This layer is known as the "hazardous materials" (or "hazmat") because of the danger involved in working at this level. These materials live in the cryptography.hazmat packaging, and their documentation will always include an admonition at its top.

Python-sql allows you to create SQL queries in a pythonic manner. Select with where condition, simple selects Select with multiple joins or with join. Select with group_by or select with the output name Select with order_by or sub-select. Select another schema and insert query using default values. Insert query with query and values. Update query with values. Update query with where condition. Update query with from list. Delete query with where condition and delete query using sub-query. Provides limit style and qmark style as well as numeric style.

This package can be used in any Python project independently. It is maintained by Zope Toolkit. This package implements Python's "object interfaces". Interfaces allow objects to be labeled as conforming to a contract or API. This package can be considered an implementation of Python's Design By Contract support. Interfaces are objects that document the external behavior of objects "provided" by them. An interface describes behavior through informal documentation, such as doc strings, attribute definitions and invariants. These are conditions that must be met for objects to provide the interface. Attribute definitions specify specific attributes. They provide documentation and constraints for attribute values. There are many ways to define attributes.

gTTS (Google Text-to-Speech) is a Python library and CLI to interface with Google Translate’s text-to-speech API. For further audio manipulation or to write spoken mp3 data to files, you can use bytestring (file-like object) or stdout. You can also pre-generate Google Translate request URLs to feed an external program. A speech-specific sentence tokenizer that can be customized to allow for unlimited text lengths, while maintaining proper intonation, abbreviations and decimals. You can also make pronunciation corrections with custom-designed text pre-processors.

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps