Things and Stuff Wiki - An organically evolving personal wiki knowledge base with an on-the-fly taxonomy containing topic outlines, descriptions, notes and breadcrumbs, with links to sites, systems, software, manuals, organisations, people, articles, guides, slides, papers, books, comments, videos, screencasts, webcasts, scratchpads and more. Quality varies drastically. Use the Table of Contents to navigate long pages, use the Small-ToC and Tiny-ToC header links on longer pages. Not that mobile friendly atm. #tnswiki on freenode IRC for feedback chat, or see About for login and further information. / et / em
- 1 General
- 2 Encoding
- 3 Serialization
- 4 Markup
- 5 Maths
- 6 Mining
- 7 Scraping
- 8 Tools
- 9 Services
- facts and statistics collected together for reference or analysis: there is very little data available
- the quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media.
- Philosophy things known or assumed as facts, making the basis of reasoning or calculation.
- https://en.wikipedia.org/wiki/Unstructured_data - information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated (semantically tagged) in documents. In 1998, Merrill Lynch cited a rule of thumb that somewhere around 80-90% of all potentially usable business information may originate in unstructured form. This rule of thumb is not based on primary or any quantitative research, but nonetheless is accepted by some. IDC and EMC project that data will grow to 40 zettabytes by 2020, resulting in a 50-fold growth from the beginning of 2010. The Computer World magazine states that unstructured information might account for more than 70%–80% of all data in organizations.
- https://en.wikipedia.org/wiki/Data_model - or datamodel, is an abstract model that organizes elements of data and standardizes how they relate to one another and to properties of the real world entities. For instance, a data model may specify that the data element representing a car be composed of a number of other elements which, in turn, represent the color and size of the car and define its owner.
The term data model is used in two distinct but closely related senses. Sometimes it refers to an abstract formalization of the objects and relationships found in a particular application domain, for example the customers, products, and orders found in a manufacturing organization. At other times it refers to a set of concepts used in defining such formalizations: for example concepts such as entities, attributes, relations, or tables. So the "data model" of a banking application may be defined using the entity-relationship "data model". This article uses the term in both senses.
Overview of data modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision. The figure is an example of the interaction between process and data models. A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form. A data model can sometimes be referred to as a data structure, especially in the context of programming languages. Data models are often complemented by function models, especially in the context of enterprise models.
- https://en.wikipedia.org/wiki/Semi-structured_data - form of structured data that does not conform with the formal structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data. Therefore, it is also known as self-describing structure. In semi-structured data, the entities belonging to the same class may have different attributes even though they are grouped together, and the attributes' order is not important. Semi-structured data are increasingly occurring since the advent of the Internet where full-text documents and databases are not the only forms of data anymore, and different applications need a medium for exchanging information. In object-oriented databases, one often finds semi-structured data.
- Data, Information, Knowledge, and Wisdom - some abstractions
- A Taxonomy of Data Science - Both within the academy and within tech startups, we’ve been hearing some similar questions lately: Where can I find a good data scientist? What do I need to learn to become a data scientist? Or more succinctly: What is data science?
- School of Data works to empower civil society organizations, journalists and citizens with the skills they need to use data effectively in their efforts to create more equitable and effective societies.
- Kaggle - Service - From Big Data to Big Analytics.
- https://en.wikipedia.org/wiki/Od_(Unix) - a program for displaying ("dumping") data in various human-readable output formats. The name is an acronym for "octal dump" since it defaults to printing in the octal data format. It can also display output in a variety of other formats, including hexadecimal, decimal, and ASCII. It is useful for visualizing data that is not in a human-readable format, like the executable code of a program.
- https://en.wikipedia.org/wiki/FourCC - literally, four-character code) is a sequence of four bytes used to uniquely identify data formats. The concept originated in the OSType scheme used in the Macintosh system software and was adopted for the Amiga/Electronic Arts Interchange File Format and derivatives. The idea was later reused to identify compressed data types in QuickTime and DirectShow.
- https://en.wikipedia.org/wiki/Baudot_code - a character set predating EBCDIC and ASCII. It was the predecessor to the International Telegraph Alphabet No. 2 (ITA2), the teleprinter code in use until the advent of ASCII. Each character in the alphabet is represented by a series of bits, sent over a communication channel such as a telegraph wire or a radio signal. The symbol rate measurement is known as baud, and is derived from the same name.
- https://en.wikipedia.org/wiki/EBCDIC - an eight-bit character encoding used mainly on IBM mainframe and IBM midrange computer operating systems. EBCDIC descended from the code used with punched cards and the corresponding six bit binary-coded decimal code used with most of IBM's computer peripherals of the late 1950s and early 1960s. It is also supported on various non-IBM platforms such as Fujitsu-Siemens' BS2000/OSD, OS-IV, MSP, and MSP-EX, the SDS Sigma series, and Unisys VS/9 and MCP.
ASCII / ANSI
- https://en.wikipedia.org/wiki/ASCII - abbreviated from American Standard Code for Information Interchange, is a character-encoding scheme. Originally based on the English alphabet, it encodes 128 specified characters into 7-bit binary integers as shown by the ASCII chart on the right. The characters encoded are numbers 0 to 9, lowercase letters a to z, uppercase letters A to Z, basic punctuation symbols, control codes that originated with Teletype machines, and a space. For example, lowercase j would become binary 1101010 and decimal 106.
- https://en.wikipedia.org/wiki/Extended_ASCII - eight-bit or larger character encodings that include the standard seven-bit ASCII characters as well as others. The use of the term is sometimes criticized, because it can be mistakenly interpreted that the ASCII standard has been updated to include more than 128 characters or that the term unambiguously identifies a single encoding, both of which are untrue.
- https://ronaldduncan.wordpress.com/2009/10/31/text-file-formats-ascii-delimited-text-not-csv-or-tab-delimited-text/ 
- jp2a - a small utility that converts JPG images to ASCII. It's written in C and released under the GPL.
- http://caca.zoy.org/wiki/toilet - like figlet but w/ colours
- The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) by Joel Spolsky
- The history of UTF-8 as told by Rob Pike - Rob Pike explains how Ken Thompson invented UTF-8 in one evening and how they together built the first system-wide implementation in less than a week.
- Codepoint, n. the position of a character in an encoding system.
- Charbase - A visual unicode database
mirroring char in brackets: (test (
- https://github.com/cspeterson/splatmoji - Quickly look up and input emoji and/or emoticons/kaomoji on your GNU/Linux desktop via pop-up menu (uses rofi, a la dmenu).
- http://unicodepowersymbol.com/we-did-it-how-a-comment-on-hackernews-lead-to-4-%C2%BD-new-unicode-characters/ 
- https://github.com/reinderien/mimic - [ab]using Unicode to create tragedy
- https://en.wikipedia.org/wiki/Marshalling_(computer_science) - or marshaling is the process of transforming the memory representation of an object to a data format suitable for storage or transmission, and it is typically used when data must be moved between different parts of a computer program or from one program to another. Marshalling is similar to serialization and is used to communicate to remote objects with an object, in this case a serialized object. It simplifies complex communication, using composite objects in order to communicate instead of primitives. The inverse, of marshalling is called unmarshalling (or demarshalling, similar to deserialization).
- https://en.wikipedia.org/wiki/Unmarshalling - Comparison with deserialization: An object that is serialized is in the form of a byte stream and it can eventually be converted back to a copy of the original object. Deserialization is the process of converting the byte stream data back to its original object type.mAn object that is marshalled, however, records the state of the original object and it contains the codebase (codebase here refers to a list of URLs where the object code can be loaded from, and not source code). Hence, in order to convert the object state and codebase(s), unmarshalling must be done.
- https://en.wikipedia.org/wiki/Delimiter - a sequence of one or more characters used to specify the boundary between separate, independent regions in plain text or other data streams. An example of a delimiter is the comma character, which acts as a field delimiter in a sequence of comma-separated values. Another example of a delimiter is the time gap used to separate letters and words in the transmission of Morse code. Delimiters represent one of various means to specify boundaries in a data stream.
- https://en.wikipedia.org/wiki/Delimiter-separated_values - store two-dimensional arrays of data by separating the values in each row with specific delimiter characters. Most database and spreadsheet programs are able to read or save data in a delimited format. A delimited text file is a text file used to store data, in which each line represents a single book, company, or other thing, and each line has fields separated by the delimiter. Compared to the kind of flat file that uses spaces to force every field to the same width, a delimited file has the advantage of allowing field values of any length
- https://github.com/dbohdan/structured-text-tools - A list of command line tools for manipulating structured text data  
- https://en.wikipedia.org/wiki/S-expression - sexprs or sexps (for "symbolic expression") are a notation for nested list (tree-structured) data, invented for and popularized by the programming language Lisp, which uses them for source code as well as data. In the usual parenthesized syntax of Lisp, an s-expression is classically defined as "an atom", or "an expression of the form (x . y) where x and y are s-expressions." The second, recursive part of the definition represents an ordered pair, which means that s-expressions are binary trees.
- https://en.wikipedia.org/wiki/IBM_Generalized_Markup_Language - GML, 1969, is a set of macros that implement intent-based (procedural) markup tags for the IBM text formatter, SCRIPT. SCRIPT/VS is the main component of IBM's Document Composition Facility (DCF). A starter set of tags in GML is provided with the DCF product.
- https://en.wikipedia.org/wiki/Common_Business_Communication_Language - (CBCL) is a communications language proposed by John McCarthy that foreshadowed much of XML. The language consists of a basic framework of hierarchical markup derived from S-expressions, coupled with some general principles about use and extensibility. Although written in 1975, the proposal was not published until 1982, and to this day remains relatively obscure.
- GNU Recutils - a set of tools and libraries to access human-editable, plain text databases called recfiles. The data is stored as a sequence of records, each record containing an arbitrary number of named fields. The picture below shows a sample database containing information about GNU packages, along with the main features provided by recutils.
- https://en.wikipedia.org/wiki/Document_type_definition - a set of markup declarations that define a document type for an SGML-family markup language (SGML, XML, HTML).
A Document Type Definition (DTD) defines the legal building blocks of an XML document. It defines the document structure with a list of legal elements and attributes. A DTD can be declared inline inside an XML document, or as an external reference. XML uses a subset of SGML DTD.
As of 2009, newer XML namespace-aware schema languages (such as W3C XML Schema and ISO RELAX NG) have largely superseded DTDs. A namespace-aware version of DTDs is being developed as Part 9 of ISO DSDL. DTDs persist in applications that need special publishing characters, such as the XML and HTML Character Entity References, which derive from larger sets defined as part of the ISO SGML standard effort.
- http://www.w3.org/TR/NOTE-dcd - Document Content Description for XML
- w3c: XQuery - a query and functional programming language that queries and transforms collections of structured and unstructured data, usually in the form of XML, text and with vendor-specific extensions for other data formats (JSON, binary, etc.). The language is developed by the XML Query working group of the W3C. The work is closely coordinated with the development of XSLT by the XSL Working Group; the two groups share responsibility for XPath, which is a subset of XQuery.
- http://www.xembly.org/ Xembly is an Assembly-like imperative programming language for data manipulation in XML documents. It is a much simplier alternative to XSLT and XQuery. Read this blog post for a more detailed explanation: Xembly, an Assembly for XML.
- XML Linking Language (XLink)
- https://en.wikipedia.org/wiki/XLink - an XML markup language and W3C specification that provides methods for creating internal and external links within XML documents, and associating metadata with those links.
- http://en.wikipedia.org/wiki/XSL - Extensible Stylesheet Language (XSL) is used to refer to a family of languages used to transform and render XML documents.
- JSON Web Token (JWT) is a compact URL-safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is digitally signed using JSON Web Signature (JWS). - IETF. 
- https://github.com/letsencrypt/acme-spec - over https
- BSON, short for Binary JSON, is a binary-encoded serialization of JSON-like documents. Like JSON, BSON supports the embedding of documents and arrays within other documents and arrays. BSON also contains extensions that allow representation of data types that are not part of the JSON spec. For example, BSON has a Date type and a BinData type.
- json-stat.org is an attempt to define a JSON schema for statistical dissemination or at least some guidelines and good practices when dealing with stats in JSON.
- JSON API is a JSON-based read/write hypermedia-type designed to support a smart client who wishes build a data-store of information.
- Superfeedr: XMPP-FTW XMPP and JSON for the Web
- What is rss.js? - Dave Winer; "what would JSONified RSS look like?"
- JSON Web Key (JWK) is a JSON data structure that represents a set of public keys.
- YouTube: Douglas Crockford: The JSON Saga
- JSONLint - The JSON Validator
- https://github.com/benbernard/RecordStream - commandline tools for slicing and dicing JSON records
- Pjson - Like python -mjson.tool but with moar colors (and less conf)
- jq is like sed for JSON data – you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text.
- YouTube: JSON: Like a Boss
- https://github.com/tomnomnom/gron/ - Make JSON greppable! gron transforms JSON into discrete assignments to make it easier to grep for what you want and see the absolute 'path' to it. It eases the exploration of APIs that return large blobs of JSON but have terrible documentation. 
- StrictYAML - a type-safe YAML parser that parses a restricted subset of the YAML specificaton.
- https://github.com/toml-lang/toml - 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.
- Hjson - a syntax extension to JSON. It's NOT a proposal to replace JSON or to incorporate it into the JSON spec itself. It's intended to be used like a user interface for humans, to read and edit before passing the JSON data to the machine. 
- https://en.wikipedia.org/wiki/External_Data_Representation - XDR, is a standard data serialization format, for uses such as computer network protocols. It allows data to be transferred between different kinds of computer systems. Converting from the local representation to XDR is called encoding. Converting from XDR to the local representation is called decoding. XDR is implemented as a software library of functions which is portable between different operating systems and is also independent of the transport layer. XDR uses a base unit of 4 bytes, serialized in big-endian order; smaller data types still occupy four bytes each after encoding. Variable-length types such as string and opaque are padded to a total divisible by four bytes. Floating-point numbers are represented in IEEE 754 format.
- DSPL - stands for Dataset Publishing Language. It is a representation format for both the metadata (information about the dataset, such as its name and provider, as well as the concepts it contains and displays) and actual data of datasets. The metadata is specified in XML, whereas the data are provided in CSV format.
- HAL - a format you can use in your API that gives you a simple way of linking. It has two variants, one in JSON and one in XML.
- HStore - a key value store within Postgres. You can use it similar to how you would use a dictionary within another language, though it's specific to a column on a row.
- Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats.
- Cap'n Proto - an insanely fast data interchange format and capability-based RPC system. Think JSON, except binary. Or think Protocol Buffers, except faster. In fact, in benchmarks, Cap’n Proto is INFINITY TIMES faster than Protocol Buffers. This benchmark is, of course, unfair. It is only measuring the time to encode and decode a message in memory. Cap’n Proto gets a perfect score because there is no encoding/decoding step. The Cap’n Proto encoding is appropriate both as a data interchange format and an in-memory representation, so once your structure is built, you can simply write the bytes straight out to disk!
- MessagePack - an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.
- CBOR - RFC 7049 “The Concise Binary Object Representation (CBOR) is a data format whose design goals include the possibility of extremely small code size, fairly small message size, and extensibility without the need for version negotiation.”
- Amazon Ion - a richly-typed, self-describing, hierarchical data serialization format offering interchangeable binary and text representations. The text format (a superset of JSON) is easy to read and author, supporting rapid prototyping. The binary representation is efficient to store, transmit, and skip-scan parse. The rich type system provides unambiguous semantics for long-term preservation of business data which can survive multiple generations of software evolution. Ion was built to solve the rapid development, decoupling, and efficiency challenges faced every day while engineering large-scale, service-oriented architectures. Ion has been addressing these challenges within Amazon for nearly a decade, and we believe others will benefit as well.
- Apache Pulsar - a distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API.
- https://en.wikipedia.org/wiki/Abstract_Syntax_Notation_One - ASN.1 is an interface description language for defining data structures that can be serialized and deserialized in a standard, cross-platform way. It's broadly used in telecommunications and computer networking, and especially in cryptography. Protocol developers define data structures in ASN.1 modules, which are generally a section of a broader standards document written in the ASN.1 language. Because the language is both human-readable and machine-readable, modules can be automatically turned into libraries that process their data structures, using an ASN.1 compiler. ASN.1 is similar in purpose and use to protocol buffers and Apache Thrift, which are also interface description languages for cross-platform data serialization. Like those languages, it has a schema (in ASN.1, called a "module"), and a set of encodings, typically type-length-value encodings. However, ASN.1, defined in 1984, predates them by many years. It also includes a wider variety of basic data types, some of which are obsolete, and has more options for extensibility. A single ASN.1 message can include data from multiple modules defined in multiple standards, even standards defined years apart.
- https://en.wikipedia.org/wiki/X.690 - an ITU-T standard specifying several ASN.1 encoding formats: Basic Encoding Rules (BER), Canonical Encoding Rules (CER), Distinguished Encoding Rules (DER)
- https://github.com/google/der-ascii - a small human-editable language to emit DER (Distinguished Encoding Rules) or BER (Basic Encoding Rules) encodings of ASN.1 structures and malformed variants of them.
- MQTT - a machine-to-machine (M2M)/"Internet of Things" connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium. For example, it has been used in sensors communicating to a broker via satellite link, over occasional dial-up connections with healthcare providers, and in a range of home automation and small device scenarios. It is also ideal for mobile applications because of its small size, low power usage, minimised data packets, and efficient distribution of information to one or many receivers (more...)
- https://en.wikipedia.org/wiki/MQTT - (MQ Telemetry Transport or Message Queuing Telemetry Transport) is an ISO standard (ISO/IEC PRF 20922) publish-subscribe-based messaging protocol. It works on top of the TCP/IP protocol. It is designed for connections with remote locations where a "small code footprint" is required or the network bandwidth is limited. The publish-subscribe messaging pattern requires a message broker.
- MQTT Version 5.0 - a Client Server publish/subscribe messaging transport protocol. It is light weight, open, simple, and designed to be easy to implement. These characteristics make it ideal for use in many situations, including constrained environments such as for communication in Machine to Machine (M2M) and Internet of Things (IoT) contexts where a small code footprint is required and/or network bandwidth is at a premium.
- https://github.com/eclesh/recordio - recordio implements a file format for a sequence of records
- https://github.com/google/riegeli - a file format for storing a sequence of string records, typically serialized protocol buffers. It supports dense compression, fast decoding, seeking, detection and optional skipping of data corruption, filtering of proto message fields for even faster decoding, and parallel encoding.
- DataHub - represents our vision for data management and automation. It’s a tool for transforming our ability to create and use quality data, bringing dramatic improvements in ease, speed and reliability. As a community, we want DataHub to be a home for people passionate about data like us. A place to discover and share high quality datasets, to connect with others and to share knowledge.
- Data Protocols - the Open Knowledge Labs home of simple protocols and formats for working with open data. Our mission is both to make it easier to develop tools and services for working with data, and, to ensure greater interoperability between new and existing tools and services.
- smf - a new RPC system and code generation like gRPC, Cap n Proto, Apache Thrift, etc, but designed for microsecond tail latency.
- Scuttlebot - an open source peer-to-peer log store used as a database, identity provider, and messaging system. It features global replication, file-syncronization, and end-to-end encryption.
- ScraperWiki - Accurately extract tables from web pages and PDFs
- Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
- Portia is a tool for visually scraping web sites using Scrapy without any programming knowledge. Just annotate web pages with a point and click editor to indicate what data you want to extract, and portia will learn how to scrape similar pages from the site.
- https://github.com/cantino/huginn/ - like yahoo pipes
- http://openrefine.org/ - google refine
- https://wiki.idhypercubed.org/wiki/ProjectMustardSeed - A Framework for developing and deploying secure cloud applications to collect, compute on, and share personal data
- DataLad - Providing a data portal and a versioning system for everyone, DataLad lets you have your data and control it too.