Search Results for "python-dpkt" - Page 3
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Showing 403 open source projects for "python-dpkt"
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Markdown package LaTeX
Package for converting and rendering markdown documents in TeX
The Markdown package converts CommonMark markup to TeX commands. The functionality is provided both as a Lua module, and as plain TeX, LaTeX, and ConTeXt macro packages that can be used to directly typeset TeX documents containing markdown markup. Unlike other convertors, the Markdown package does not require any external programs and makes it easy to redefine how each and every markdown element is rendered. Creative abuse of the markdown syntax is encouraged. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
...It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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Protocol Buffers
Google's data interchange format
...It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come. -
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tmuxp
tmux session manager. built on libtmux
A session manager for tmux. Built on libtmux. -
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TOML
Tom Preston-Werner's obvious, minimal language
Tom's Obvious, Minimal Language. By Tom Preston-Werner, Pradyun Gedam, et al. TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages. TOML shares traits with other file formats used for application configuration and data serialization, such as YAML and JSON. TOML and JSON both are simple and use ubiquitous data... -
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wikmd
A file based wiki that uses markdown
It’s a file-based wiki that aims to simplicity. Instead of storing the data in a database I chose to have a file-based system. The advantage of this system is that every file is directly readable inside a terminal etc. Also when you have direct access to the system you can export the files to anything you like. -
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Dataclasses JSON
Easily serialize Data Classes to and from JSON
This library provides a simple API for encoding and decoding dataclasses to and from JSON. -
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Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
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JS Beautifier
Beautifier for javascript
...JS Beautifier is hosted on two CDN services: cdnjs and rawgit. You can beautify javascript using JS Beautifier in your web browser, or on the command-line using node.js or python. -
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OSCAL
Open Security Controls Assessment Language (OSCAL)
NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are... -
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granary
The social web translator
The social web translator. Fetches and converts data between social networks, HTML and JSON with microformats2, ActivityStreams/ActivityPub, Atom, JSON Feed, and more. Granary is a library and REST API that fetches and converts between a wide variety of social data sources and formats. Free yourself from silo API chaff and expose the sweet social data foodstuff inside in standard formats and protocols. -
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LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers
LovelyPlots is a repository containing matplotlib style sheets to nicely format figures for scientific papers, theses, and presentations while keeping them fully editable in Adobe Illustrator. Additionally, .svg export options allow figures to automatically adapt their font to your document's font. For example, .svg figures imported in a .tex file will automatically be generated with the text font used in your .tex file. -
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CWhy
Explains and suggests fixes for compile-time errors for C, C++, C#, Go
Explains and suggests fixes for compiler error messages for a wide range of programming languages, including C, C++, C#, Go, Java, LaTeX, PHP, Python, Ruby, Rust, Swift, and TypeScript. CWhy needs to be connected to an OpenAI account or an Amazon Web Services account. Your account will need to have a positive balance for this to work (check your OpenAI balance). CWhy currently defaults to GPT-4, and falls back to GPT-3.5-turbo if a request error occurs. For the newest and best model (GPT-4) to work, you need to have purchased at least $1 in credits (if your API account was created before August 13, 2023) or $0.50 (if you have a newer API account). -
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Awkward Array
Manipulate JSON-like data with NumPy-like idioms
Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not. -
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HTTPie CLI
Modern, user-friendly command-line HTTP client for the API era
HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers. The HTTP & HTTPS commands allow for creating and sending arbitrary HTTP requests. They use simple and natural syntax and provide formatted and colorized output. -
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arxiv_latex_cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper
This tool allows you to easily clean the LaTeX code of your paper to submit to arXiv. From a folder containing all your code, e.g. /path/to/latex/, it creates a new folder /path/to/latex_arXiv/, that is ready to ZIP and upload to arXiv. -
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SAFRS
SqlAlchemy Flask-Restful Swagger Json:API OpenAPI
SAFRS exposes SQLAlchemy database models as a JSON:API web service and generates the corresponding swagger/OpenAPI. Database objects such as the User class from the demo.py example can be extended to include relationships with other objects. The demo_relationship.py contains the following extension of the User class where a relationship with the Book class is implemented. -
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adstex
Automated generation of NASA ADS bibtex entries directly from citation
adstex automatically identifies all citation keys (e.g., identifiers, author+year) in your TeX source files and uses NASA's Astrophysics Data System (ADS) to generate corresponding bibtex entries. Write your papers without worrying about the bibtex entries. Simply put down arXiv IDs, ADS bibcodes, DOIs, or first author & year citation keys in your \cite commands, and then use adstex to automatically generate the bibtex file for you. -
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RenderCV
LaTeX CV generator from a YAML/JSON input file
RenderCV is a LaTeX CV/resume framework. It allows you to create a high-quality CV as a PDF from a YAML file with full Markdown syntax support and complete control over the LaTeX code. RenderCV offers built-in LaTeX and Markdown templates ready to produce high-quality CVs. However, the templates are entirely arbitrary and can easily be updated to leverage RenderCV's capabilities with your custom CV themes. -
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PackageDev
Tools to ease the creation of snippets, syntax definitions, etc.
PackageDev provides syntax highlighting and other helpful utility for Sublime Text resource files. Resource files are ways of configuring the Sublime Text text editor to various extends, including but not limited to: custom syntax definitions, context menus (and the main menu), and key bindings. Thus, this package is ideal for package developers, but even normal users of Sublime Text who want to configure it to their liking should find it very useful. -
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Go support for Protocol Buffers
The Go support for Google's protocol buffers
...You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. Package jsonpb serializes protobuf messages as JSON. ... -
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fmt
Formatting library as an alternative to C stdio and C++ iostreams
...The format API is similar in spirit to the C printf family of function but is safer, simpler and several times faster than common standard library implementations. The format string syntax is similar to the one used by str.format in Python. The library is fully type safe, automatic memory management prevents buffer overflow, errors in format strings are reported using exceptions or at compile time. The library produces compact per-call compiled code. The library is highly portable and relies only on a small set of C++11 features, like variadic templates, type traits, rvalue references, decltype, trailing return, types, deleted functions, alias templates. ... -
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Great Expectations
Always know what to expect from your data
Great Expectations helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. Software developers have long known that testing and documentation are essential for managing complex codebases. Great Expectations brings the same confidence, integrity, and acceleration to data science and data engineering teams. Expectations are assertions for data. They are the workhorse abstraction in Great Expectations, covering all kinds of common data issues. Expectations... -
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Ruby
Ruby programming language
A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. He has often said that he is “trying to make Ruby natural, not simple,” in a way that... -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,...
