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for Developers | flashcards.github.io\nA community-based collection of developer flashcards to boost your professional skills.\n\n\nTopics\nAlgorithms\n\nRecursion\nAsymptotic Notation\nBubble Sort\nMerge Sort\nQuicksort\n\nAWS FAQs\n\nCloudFront\nDynamoDB\nEC2\nLambda\nRDS\nRedshift\nSageMaker\nS3\n\nBash Shortcuts\nCommand Line\n\nNavigating the File System\nViewing and Changing the File System\nRedirecting Input and Output\nConfiguring the Environment\n\nCSS\n\nSyntax and Selectors\nVisual Rules\nThe Box Model\nDisplay and Positioning\nColors\nTypography\nLayout with Flexbox\nGrid\nCSS - Transitions\nLearn Responsive Design\n\nDockerfile\nGit\nHTML\n\nElements and Structure\nTables\nForms\nSemantic HTML\n\nHTTP Status Codes\nNode.js\n\nIntroduction to Node.js\nNode.js Essentials\nSetting up a Server with HTTP\n\nPython\n\nBasics\nControl Flow\nControl Flows Extended\nLists\nLoops\nFunctions\nStrings\nModules\nDictionaries\nFiles\nClasses\nFunction Arguments\nLogging\nFunctional Programming\nDatabase Operations\nConcurrent Programming\n\nReact\n\nReact Terminology\nRedux Terminology\nJSX\nReact Components\nComponents Interacting\nComponents and Props\nReact Programming Patterns\nHooks\nLifecycle Methods\nReact Styles\nAdvanced React: Custom Hooks\nAdvanced React: Context\n\nRuby\n\nIntroduction to Ruby\nControl Flow in Ruby\nLooping with Ruby\nArrays and Hashes\nBlocks and Sorting\nHashes and Symbols\nRefactoring\nBlocks, Procs, and Lambdas\nObject-Oriented Programming, Part I\nObject-Oriented Programming, Part II\n\nSQL\n\nManipulation\nQueries\nAggregate Functions\nMultiple Tables\nSQLite\nYAML\n\nContributing\nThe flashcards.github.io community is possible thanks to kind volunteers like you. We welcome any and all contributions to the community and are excited to welcome you aboard.\nIf you've noticed a mistake or have a new deck, open a pull request or start a discussion!\nSteps to contributing to this GitBook:\n\nClone the repository here.\nInstall the GitBook CLI.\nRun npm install via the command line.\nRun gitbook build via the command line.\nRun cp -R _book/* . via the command line.\nRun git clean -fx _book via the command line.\nCommit your changes and open a PR.\n\n\nCreated by Zachary Lawson\n"},"command_line/":{"url":"command_line/","title":"Command Line","body":"Learn Command Line | Flashcards for Developers\nLearn Command Line - a text interface for your computer. 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Here we used touch to create a new file named keyboard.txt inside the 2014/dec/ directory.\ngrep\ngrep stands for “global regular expression print”. It searches files for lines that match a pattern and returns the results. It is case sensitive.\nrm\nrm deletes files\nrm -r\nrm -r removes a directory recursively\nman\nman command shows the manual for the specified command\nchmod\nchmod ugo file changes permissions of file to ugo - u is the user's permissions, g is the group's permissions, and o is everyone else's permissions. The values of u, g, and o can be any number between 0 and 7.\ncat\ncat command allows us to create single or multiple files, view contain of file, concatenate files and redirect output in terminal or files.\n>>\n>> takes the standard output of the command on the left and appends (adds) it to the file on the right. Example: cat glaciers.txt >> rivers.txt\n<\n< takes the standard input from the file on the right and inputs it into the program on the left. 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When creating one a mutation, you start with the keyword mutation with  the same syntactical structure as queries. Like queries, we’re also able to specify a payload for a mutation in which we can ask for different returned properties.  Tip: for CRUD mutations to work, you need to provide an ID on the given type.\nSchema\nA schema is a collection of GraphQL types with special root types. It specifies the capabilities of the API and defines how clients can request the data. It is often seen as a contract between the server and client.\nRoot types\nRoot types define the entry points for an API. The three root types are Query, Mutation and Subscription.\ntypes\nGraphQL types have unique IDs that are generated by the server when new objects are created. The !following a type means that the field is required.\nfield\nA unit of data you are asking for in a Schema, which ends up as a field in your JSON response data. Each field can have zero or more arguments if that’s specified in the schema. Tip: you must add nested subfields until all fields return scalars.\ntype Person {\n  name: String!\n  age: Int!\n}\nThe Person type has two fields, they’re called name and age and are respectively of type String and Int. The !following the type means that this field is required.\nargument\nAn argument is a set of key-value pairs attached to a specific field. Arguments can be literal values or variables. Some fields require an argument. Mutations require an input object as an argument.\n{\n  human(id: "200") {\n    weight(unit: "pounds")\n    height\n  }\n}\nid is an argument to human in the query above.\nsingle endpoint\nGraphQL APIs typically only expose a single endpoint. This works because the structure of the data that’s returned is not fixed. Instead, it’s completely flexible and lets the client decide what data is actually needed.\nquery\nEvery GraphQL service has a query type and may or may not have a mutation type. These types are a read-only fetch operation to request data from a GraphQL service. They are the same as a regular object type, but they are special because they define the entry point of every GraphQL query.\nroot field\nAt the top level of every GraphQL server is a type that represents all of the possible entry points into the GraphQL API, it's often called the Root type or the Query type.\n{\n  allPersons {\n    name\n  }\n}\nThe allPersons field in this query is called the root field of the query. Everything that follows the root field, is called the payload of the query.\nsubscription\nA real-time GraphQL operation. A Subscription is defined in a schema along with queries and mutations. When a client subscribes to an event, it will initiate and hold a steady connection to the server. 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With connections, you can use a single GraphQL call where you would have to use multiple calls to a REST API.\nentry points\nThe Query, Mutation, and Subscription types are the entry points for the requests sent by the client.\nGraphiQL\nAn in-browser IDE for GraphQL development.\nReferences:\n\nhttps://www.apollographql.com/docs/resources/graphql-glossary/\nhttps://developer.github.com/v4/guides/intro-to-graphql/\n\n"},"sql/":{"url":"sql/","title":"SQL","body":"Learn SQL | Flashcards for Developers\nLearn SQL - a language used to communicate with databases using SQL.\nDecks\n\nIntroduction\n\n"},"sql/introduction.html":{"url":"sql/introduction.html","title":"Introduction Flashcards","body":"Introduction | SQL Flashcards\n\n\nSQL\nSQL, Structured Query Language, is a programming language designed to manage data stored in relational databases. SQL operates through simple, declarative statements. This keeps data accurate and secure, and it helps maintain the integrity of databases, regardless of size.\nrow\nA database row represents a single, implicitly structured data record in a table. In simple terms, a database table can be thought of as consisting of rows and columns.\ncolumn\nA database column is a set of data values of a particular simple type, one value for each row of the database. A column may contain text values, numbers, or even pointers to files in the operating system.\nCREATE TABLE\nCREATE TABLE creates a new table in the database. It allows you to specify the name of the table and the name of each column in the table.\nALTER TABLE\nALTER TABLE lets you add columns to a table in a database.\nPRIMARY KEY\nA primary key, sometimes labeled as the unique identifier, is a specific choice of a set of columns that uniquely identify a row in a relational table. Simply put, a primary key is the attributes which identify a record.\nFOREIGN KEY\nA FOREIGN KEY is a column (or set of columns) in one table that refers to the PRIMARY KEY in another table. It establishes a relationship between two tables and enforces referential integrity, meaning the value in the foreign key column must match an existing primary key value in the referenced table (or be NULL, if allowed).\nINSERT\nINSERT statements are used to add a new row to a table.\nCASE\nCASE statements are used to create different outputs (usually in the SELECT statement). It is SQL’s way of handling if-then logic.\nDELETE\nDELETE statements are used to remove rows from a table.\nINNER JOIN\nAn INNER JOIN will combine rows from different tables if the join condition is true.\nOUTER JOIN\nAn outer join will combine rows from different tables even if the join condition is not met. Every row in the left table is returned in the result set, and if the join condition is not met, then NULL values are used to fill in the columns from the right table.\nUNION / UNION ALL\nThe UNION operator is used to combine the result-set of two or more SELECT statements. UNION removes duplicate rows between the various SELECT statements, while UNION ALL includes all rows, including duplicates. Each SELECT statement within UNION must have the same number of columns with similar data types and in the same order.\nUPDATE\nUPDATE statements allow you to edit rows in a table.\nWITH\nWITH clause lets you store the result of a query in a temporary table using an alias. You can also define multiple temporary tables using a comma and with one instance of the WITH keyword.\nThe WITH clause is also known as common table expression (CTE) and subquery factoring.\nAS\nColumns or tables in SQL can be aliased using the AS clause. This allows columns or tables to be specifically renamed in the returned result set.\nSELECT\nThe SELECT * statement returns all columns from the provided table in the result set.\nDISTINCT\nUnique values of a column can be selected using a DISTINCT query.\nSELECT DISTINCT\nSELECT DISTINCT specifies that the statement is going to be a query that returns unique values in the specified column(s).\nWHERE\nThe WHERE clause is used to filter records (rows) that match a certain condition.\nLIKE\nThe LIKE operator can be used inside of a WHERE clause to match a specified pattern.\n_\nThe _ wildcard can be used in a LIKE operator pattern to match any single unspecified character.\n%\nThe % wildcard can be used in a LIKE operator pattern to match zero or more unspecified character(s).\nBETWEEN\nThe BETWEEN operator can be used to filter by a range of values. The range of values can be text, numbers or date data.\nAND\nThe AND operator allows multiple conditions to be combined. Records must match both conditions that are joined by AND to be included in the result set.\nOR\nThe OR operator allows multiple conditions to be combined. Records matching either condition joined by the OR are included in the result set.\nIS NULL / IS NOT NULL\nIS NULL and IS NOT NULL are operators used with the WHERE clause to test for empty values.\nORDER BY\nThe ORDER BY clause can be used to sort the result set by a particular column either alphabetically or numerically. It can be ordered in ascending (default) or descending order with ASC/DESC.\nLIMIT\nThe LIMIT clause is used to narrow, or limit, a result set to the specified number of rows.\nNULL\nColumn values in SQL records can be NULL, or have no value. These records can be matched (or not matched) using the IS NULL and IS NOT NULL operators in combination with the WHERE clause.\nAggregate Functions\nAggregate functions perform a calculation on a set of values and return a single value:\nCOUNT()\nThe COUNT() aggregate function in SQL returns the total number of rows that match the specified criteria.\nSUM()\nThe SUM() aggregate function takes the name of a column as an argument and returns the sum of all the value in that column.\nMAX()\nThe MAX() aggregate function in SQL takes the name of a column as an argument and returns the largest value in a column.\nMIN()\nThe MIN() aggregate function in SQL returns the smallest value in a column.\nAVG()\nThe AVG() aggregate function returns the average value in a column.\nGROUP BY\nThe GROUP BY clause will group records in a result set by identical values in one or more columns. It is often used in combination with aggregate functions to query information of similar records. The GROUP BY clause can come after FROM or WHERE but must come before any ORDER BY or LIMIT clause.\nHAVING\nThe HAVING clause is used to further filter the result set groups provided by the GROUP BY clause. HAVING is often used with aggregate functions to filter the result set groups based on an aggregate property.\nROUND()\nThe ROUND() function will round a number value to a specified number of places. It takes two arguments: a number, and a number of decimal places. It can be combined with other aggregate functions\nColumn References\nThe GROUP BY and ORDER BY clauses can reference the selected columns by number in which they appear in the SELECT statement.\nReferences:\n\nhttps://www.codecademy.com/articles/sql-commands\n\n"}}}