The document discusses various text processing formats including CSV, JSON, and XML. It provides details on CSV format such as how CSV files store tables of data with fields separated by commas. It also describes JSON format including its use of objects and arrays to store hierarchical data. Finally, it covers XML and discusses two common APIs for parsing XML - SAX and DOM. SAX uses event-based parsing while DOM loads the entire XML file into memory. The document provides examples of using the csv, json, and xml modules in Python to work with these file formats.
The document discusses regular expressions and text processing in Python. It covers various components of regular expressions like literals, escape sequences, character classes, and metacharacters. It also discusses different regular expression methods in Python like match, search, split, sub, findall, finditer, compile and groupdict. The document provides examples of using these regular expression methods to search, find, replace and extract patterns from text.
An array is a container that holds a fixed number of elements of the same type. An array's length is established at creation and cannot be changed. Each element has an index number starting from 0. The document demonstrates how to declare, initialize, access, and copy array elements in Java. It also discusses multidimensional arrays.
From my November 3, 2011 talk at MNPHP. Regular expressions are a powerful tool available in nearly every programming language or platform, including PHP. I go over the history of POSIX vs. PCRE, examples in PHP, and optimizations on how to write faster expressions.
Scala Language Intro - Inspired by the Love GameAntony Stubbs
The document discusses Scala code for implementing a "Love Game" algorithm to calculate compatibility between names in a concise, functional way. It shows the Java implementation using loops and arrays, then demonstrates translating it to 4 lines of Scala code using functional techniques like map, zip and pattern matching. It provides background on Scala's features that enable this brevity and discusses recursion in the functional implementation.
The document discusses new features in .NET 3.5 including automatic properties, extension methods, object initialization, anonymous types, partial methods, type inference, LINQ, lambda expressions, and query expressions. It explains that these language enhancements combined with query expressions enable LINQ by providing a unified way to query and manipulate data from various sources.
11. using regular expressions with oracle databaseAmrit Kaur
The Oracle database provides a set of SQL functions to search and manipulate strings using regular expressions. These functions include REGEXP_COUNT, REGEXP_LIKE, REGEXP_SUBSTR, REGEXP_INSTR, and REGEXP_REPLACE. Regular expressions use metacharacters like period, plus, star, and pipe to specify patterns to match. Metacharacters have special meanings like wildcard, repeating, or range of characters. The regular expression functions take a source string and pattern to perform matching and extraction.
The document discusses regular expressions (regexes) in Python. It defines regexes as sequences of characters used to match patterns in strings. The re module provides full support for regexes. It describes various regex patterns like literals, concatenation, alternation, repetition. It also covers metacharacters like brackets, caret, backslash, dot and special sequences. Finally, it explains the search() and match() methods to perform regex queries on strings, with search() finding matches anywhere and match() only at the start.
Oracle database supports perl- and POSIX-compatible regular expressions with five elegant and powerful functions: REGEXP_REPLACE, REGEXP_SUBSTR, REGEXP_INSTR, REGEXP_LIKE, and REGEXP_COUNT.
This session will demonstrate their nuances and how to use them effectively for data cleansing, manipulation and selection, for validating things such as Social Security Numbers, credit cards, IP addresses, phone numbers, DNAs, XMLs, for extracting things such as email-ids, hostnames from URLs and strings, and for transposing delimited columns to rows. There will be a demo of a few tricky examples taken from forums.oracle.com and asktom.oracle.com.
The session will end with fuzzy matching and optimization techniques, and things to watch out for.
http://docs.oracle.com/cd/E11882_01/appdev.112/e25518/adfns_regexp.htm
The document discusses regular expressions and text processing in Python. It covers various components of regular expressions like literals, escape sequences, character classes, and metacharacters. It also discusses different regular expression methods in Python like match, search, split, sub, findall, finditer, compile and groupdict. The document provides examples of using these regular expression methods to search, find, replace and extract patterns from text.
An array is a container that holds a fixed number of elements of the same type. An array's length is established at creation and cannot be changed. Each element has an index number starting from 0. The document demonstrates how to declare, initialize, access, and copy array elements in Java. It also discusses multidimensional arrays.
From my November 3, 2011 talk at MNPHP. Regular expressions are a powerful tool available in nearly every programming language or platform, including PHP. I go over the history of POSIX vs. PCRE, examples in PHP, and optimizations on how to write faster expressions.
Scala Language Intro - Inspired by the Love GameAntony Stubbs
The document discusses Scala code for implementing a "Love Game" algorithm to calculate compatibility between names in a concise, functional way. It shows the Java implementation using loops and arrays, then demonstrates translating it to 4 lines of Scala code using functional techniques like map, zip and pattern matching. It provides background on Scala's features that enable this brevity and discusses recursion in the functional implementation.
The document discusses new features in .NET 3.5 including automatic properties, extension methods, object initialization, anonymous types, partial methods, type inference, LINQ, lambda expressions, and query expressions. It explains that these language enhancements combined with query expressions enable LINQ by providing a unified way to query and manipulate data from various sources.
11. using regular expressions with oracle databaseAmrit Kaur
The Oracle database provides a set of SQL functions to search and manipulate strings using regular expressions. These functions include REGEXP_COUNT, REGEXP_LIKE, REGEXP_SUBSTR, REGEXP_INSTR, and REGEXP_REPLACE. Regular expressions use metacharacters like period, plus, star, and pipe to specify patterns to match. Metacharacters have special meanings like wildcard, repeating, or range of characters. The regular expression functions take a source string and pattern to perform matching and extraction.
The document discusses regular expressions (regexes) in Python. It defines regexes as sequences of characters used to match patterns in strings. The re module provides full support for regexes. It describes various regex patterns like literals, concatenation, alternation, repetition. It also covers metacharacters like brackets, caret, backslash, dot and special sequences. Finally, it explains the search() and match() methods to perform regex queries on strings, with search() finding matches anywhere and match() only at the start.
Oracle database supports perl- and POSIX-compatible regular expressions with five elegant and powerful functions: REGEXP_REPLACE, REGEXP_SUBSTR, REGEXP_INSTR, REGEXP_LIKE, and REGEXP_COUNT.
This session will demonstrate their nuances and how to use them effectively for data cleansing, manipulation and selection, for validating things such as Social Security Numbers, credit cards, IP addresses, phone numbers, DNAs, XMLs, for extracting things such as email-ids, hostnames from URLs and strings, and for transposing delimited columns to rows. There will be a demo of a few tricky examples taken from forums.oracle.com and asktom.oracle.com.
The session will end with fuzzy matching and optimization techniques, and things to watch out for.
http://docs.oracle.com/cd/E11882_01/appdev.112/e25518/adfns_regexp.htm
This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
This document discusses strings and regular expressions in .NET. It provides details on the System.String class and how strings are immutable. The StringBuilder class is introduced as a mutable alternative for string manipulation. Various string formatting options like standard numeric and custom format strings are covered. Finally, an overview of regular expressions is given, explaining how they provide a powerful way to parse and process text using pattern matching.
This document provides a summary of JavaScript's main features including:
- Different types of objects in JavaScript like Arrays, Maps, and basic data structures.
- Functions being treated as first-class citizens that can be assigned to variables and passed into other functions.
- Implementing classes in JavaScript through constructor-based and factory-based patterns to provide an object-oriented style.
- JavaScript's capabilities for both front-end web development and back-end development with Node.js.
- An overview of ECMAScript versions and JavaScript's continued evolution.
‘go-to’ general-purpose sequential collections -from Java To ScalaPhilip Schwarz
The simple idea of this slide deck is that it collects in a single place quite a bit of information that can be used to gain a basic understanding of some key differences between the ’goto’ sequential collections of Java and Scala.
Errata:
* the twitter handle of Daniel Westheide is @kaffeecoder and not @cafeecoder
* on slide 35, the numbers 215, 220, 225 and 230, should be 2^15, 2^20, 2^25 and 2^30 respectively
* on slide 54, the bottom left node should be green rather than black
Scala 3 by Example - Algebraic Data Types for Domain Driven Design - Part 1Philip Schwarz
slides can look grainy and/or out of focus when seen on slideshare - download for flawless quality - Based on Scott Wlaschin’s great book 'Domain Modeling Made Functional' and on Martin Odersky's talk 'A Tour of Scala 3'.
C++ Notes by Hisham Ahmed Rizvi for Class 12th Board Examshishamrizvi
The document provides an overview of key concepts in C++ including:
- Data types like int, char, float, and double
- Variables, constants, and escape sequences
- Operators like assignment, arithmetic, relational, and logical operators
- Control structures like if/else, switch, for, while, and do-while loops
- Functions like main(), exit(), get(), put(), and getline()
- Input/output streams like cin, cout, and file streams
The document covers fundamental C++ concepts to help prepare for board exams.
This document provides an agenda for a presentation on XML DOM functionality in .NET. The presentation covers loading XML data into an XmlDocument object, working with child nodes, retrieving nodes that match criteria using XPath expressions, selecting single nodes, and retrieving node attributes. It demonstrates these concepts using a sample XML file representing a grocery store inventory. The conclusion emphasizes that the XmlDocument class represents an entire XML document in memory and supports loading, reading, and writing XML data using DOM functionality.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This document provides an introduction and overview of PHP. It discusses that PHP is a server-side scripting language used for web development that can be embedded into HTML. It then covers PHP syntax including using <?php ?> tags, variables, data types, operators, conditional statements, loops, functions, and regular expressions. The document also provides examples of common PHP functions for arrays, calendars, dates, math, mail, MySQLi, strings, and errors.
This document provides an introduction to PHP, including its data types, operators, and flow control structures. PHP is a loosely typed scripting language that allows changing a variable's data type. It supports 8 types: 4 scalar (integer, float, string, boolean), 2 compound (array, object), and 2 special (resource, NULL). Operators include arithmetic, string concatenation, comparison, bitwise, and logical. Flow control includes if/else, switch, while, do-while, for, and foreach loops. The document also covers variable scope, date/time functions, and additional PHP concepts.
Robin Milner made three major contributions to computer science: developing LCF for automated theorem proving, creating ML which was the first language with polymorphic type inference and type-safe exception handling, and developing frameworks for analyzing concurrent systems like CCS and the pi-calculus. The lecture discusses polymorphism, with control abstraction through higher-order functions and polymorphic type systems covered. Polymorphism allows values of different types to be handled through a uniform interface.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
The document outlines Java 8's Stream API. It discusses stream building blocks like default methods, functional interfaces, lambda expressions, and method references. It describes characteristics of streams like laziness and parallelization. It covers creating streams from collections, common functional interfaces, and the anatomy of a stream pipeline including intermediate and terminal operations. It provides examples of common stream API methods like forEach, map, filter, findFirst, toArray, collect, and reduce.
Xbase - Implementing Domain-Specific Languages for Javameysholdt
This document discusses using Xtext to implement domain-specific languages for Java. Xtext allows defining the grammar of a DSL and generates an IDE and runtime. Key points:
- Xtext generates editors, compilers/interpreters, debuggers from a DSL grammar. The grammar reuse and customization allow adapting Xtext to different needs.
- Xbase provides a reusable expression language that can be embedded in Xtext DSLs, providing features like lambda expressions, extension methods, and type inference.
- A JvmModel inference performs a model-to-model transformation to map DSL models to equivalent Java classes, providing context for linking, type system, and compilation of DSL expressions.
- Variables in PHP are prefixed with a $ sign and can contain any type of data value. Variable names are case-sensitive.
- PHP supports scalar data types like integers, floats, booleans, and strings as well as complex types like arrays and objects. Variables do not require explicit typing.
- Arrays allow storing multiple values in a single variable through numeric or associative indexes. Arrays can be nested to any level and PHP provides many functions for manipulating array values and structure.
This document discusses various C++ concepts including tokens, keywords, identifiers, constants, data types, user-defined data types like struct, union, enum, and class. It also covers derived data types like arrays, functions, and pointers. It provides examples and programs to demonstrate struct, union, enum, functions, pointers, and references. The document is a set of lecture notes that serves as an introduction to fundamental C++ programming concepts.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
This document discusses JSON (JavaScript Object Notation) as a lightweight data-interchange format. It describes JSON as a text-based format that is easy for humans to read and write and for machines to parse and generate. The document outlines JSON's basic syntax including objects, arrays, strings, numbers, and other values, and explains how JSON became widely adopted as a way to transmit data in web applications.
JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It is built on two structures: a collection of name/value pairs and an ordered list of values. JSON is widely used to transmit data between a server and web application, and has largely become the default format for asynchronous browser/server communication. While easy for machines to parse and generate, it is also readable by humans.
This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
This document discusses strings and regular expressions in .NET. It provides details on the System.String class and how strings are immutable. The StringBuilder class is introduced as a mutable alternative for string manipulation. Various string formatting options like standard numeric and custom format strings are covered. Finally, an overview of regular expressions is given, explaining how they provide a powerful way to parse and process text using pattern matching.
This document provides a summary of JavaScript's main features including:
- Different types of objects in JavaScript like Arrays, Maps, and basic data structures.
- Functions being treated as first-class citizens that can be assigned to variables and passed into other functions.
- Implementing classes in JavaScript through constructor-based and factory-based patterns to provide an object-oriented style.
- JavaScript's capabilities for both front-end web development and back-end development with Node.js.
- An overview of ECMAScript versions and JavaScript's continued evolution.
‘go-to’ general-purpose sequential collections -from Java To ScalaPhilip Schwarz
The simple idea of this slide deck is that it collects in a single place quite a bit of information that can be used to gain a basic understanding of some key differences between the ’goto’ sequential collections of Java and Scala.
Errata:
* the twitter handle of Daniel Westheide is @kaffeecoder and not @cafeecoder
* on slide 35, the numbers 215, 220, 225 and 230, should be 2^15, 2^20, 2^25 and 2^30 respectively
* on slide 54, the bottom left node should be green rather than black
Scala 3 by Example - Algebraic Data Types for Domain Driven Design - Part 1Philip Schwarz
slides can look grainy and/or out of focus when seen on slideshare - download for flawless quality - Based on Scott Wlaschin’s great book 'Domain Modeling Made Functional' and on Martin Odersky's talk 'A Tour of Scala 3'.
C++ Notes by Hisham Ahmed Rizvi for Class 12th Board Examshishamrizvi
The document provides an overview of key concepts in C++ including:
- Data types like int, char, float, and double
- Variables, constants, and escape sequences
- Operators like assignment, arithmetic, relational, and logical operators
- Control structures like if/else, switch, for, while, and do-while loops
- Functions like main(), exit(), get(), put(), and getline()
- Input/output streams like cin, cout, and file streams
The document covers fundamental C++ concepts to help prepare for board exams.
This document provides an agenda for a presentation on XML DOM functionality in .NET. The presentation covers loading XML data into an XmlDocument object, working with child nodes, retrieving nodes that match criteria using XPath expressions, selecting single nodes, and retrieving node attributes. It demonstrates these concepts using a sample XML file representing a grocery store inventory. The conclusion emphasizes that the XmlDocument class represents an entire XML document in memory and supports loading, reading, and writing XML data using DOM functionality.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This document provides an introduction and overview of PHP. It discusses that PHP is a server-side scripting language used for web development that can be embedded into HTML. It then covers PHP syntax including using <?php ?> tags, variables, data types, operators, conditional statements, loops, functions, and regular expressions. The document also provides examples of common PHP functions for arrays, calendars, dates, math, mail, MySQLi, strings, and errors.
This document provides an introduction to PHP, including its data types, operators, and flow control structures. PHP is a loosely typed scripting language that allows changing a variable's data type. It supports 8 types: 4 scalar (integer, float, string, boolean), 2 compound (array, object), and 2 special (resource, NULL). Operators include arithmetic, string concatenation, comparison, bitwise, and logical. Flow control includes if/else, switch, while, do-while, for, and foreach loops. The document also covers variable scope, date/time functions, and additional PHP concepts.
Robin Milner made three major contributions to computer science: developing LCF for automated theorem proving, creating ML which was the first language with polymorphic type inference and type-safe exception handling, and developing frameworks for analyzing concurrent systems like CCS and the pi-calculus. The lecture discusses polymorphism, with control abstraction through higher-order functions and polymorphic type systems covered. Polymorphism allows values of different types to be handled through a uniform interface.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
The document outlines Java 8's Stream API. It discusses stream building blocks like default methods, functional interfaces, lambda expressions, and method references. It describes characteristics of streams like laziness and parallelization. It covers creating streams from collections, common functional interfaces, and the anatomy of a stream pipeline including intermediate and terminal operations. It provides examples of common stream API methods like forEach, map, filter, findFirst, toArray, collect, and reduce.
Xbase - Implementing Domain-Specific Languages for Javameysholdt
This document discusses using Xtext to implement domain-specific languages for Java. Xtext allows defining the grammar of a DSL and generates an IDE and runtime. Key points:
- Xtext generates editors, compilers/interpreters, debuggers from a DSL grammar. The grammar reuse and customization allow adapting Xtext to different needs.
- Xbase provides a reusable expression language that can be embedded in Xtext DSLs, providing features like lambda expressions, extension methods, and type inference.
- A JvmModel inference performs a model-to-model transformation to map DSL models to equivalent Java classes, providing context for linking, type system, and compilation of DSL expressions.
- Variables in PHP are prefixed with a $ sign and can contain any type of data value. Variable names are case-sensitive.
- PHP supports scalar data types like integers, floats, booleans, and strings as well as complex types like arrays and objects. Variables do not require explicit typing.
- Arrays allow storing multiple values in a single variable through numeric or associative indexes. Arrays can be nested to any level and PHP provides many functions for manipulating array values and structure.
This document discusses various C++ concepts including tokens, keywords, identifiers, constants, data types, user-defined data types like struct, union, enum, and class. It also covers derived data types like arrays, functions, and pointers. It provides examples and programs to demonstrate struct, union, enum, functions, pointers, and references. The document is a set of lecture notes that serves as an introduction to fundamental C++ programming concepts.
A Python dictionary is an unordered collection of key-value pairs where keys must be unique and immutable. It allows fast lookup of values using keys. Dictionaries can be created using curly braces and keys are used to access values using indexing or the get() method. Dictionaries are mutable and support various methods like clear(), copy(), pop(), update() etc to modify or retrieve data.
This document discusses JSON (JavaScript Object Notation) as a lightweight data-interchange format. It describes JSON as a text-based format that is easy for humans to read and write and for machines to parse and generate. The document outlines JSON's basic syntax including objects, arrays, strings, numbers, and other values, and explains how JSON became widely adopted as a way to transmit data in web applications.
JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It is built on two structures: a collection of name/value pairs and an ordered list of values. JSON is widely used to transmit data between a server and web application, and has largely become the default format for asynchronous browser/server communication. While easy for machines to parse and generate, it is also readable by humans.
JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It is built on two structures: a collection of name/value pairs and an ordered list of values. JSON is widely used to transmit data between a server and web application, and has largely become the default format for asynchronous browser/server communication. While easy for machines to parse and generate, it is also readable by humans.
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
The document describes Snowflake's extended JSON syntax for parsing JSON data using SQL. It discusses features like JSON arrays and objects, and functions like FLATTEN, PARSE_JSON, and GET_PATH that allow extracting nested JSON data in a relational format. Sample queries are provided that leverage these functions to parse example JSON files containing employee records and related dependent data.
This document discusses JSON (JavaScript Object Notation) and its role as a lightweight data interchange format, particularly for use in AJAX applications. It provides an overview of JSON's syntax and design, describing how it represents common data types like strings, numbers, objects, and arrays. It also addresses some criticisms of JSON and potential extensions to make it more flexible.
While known for its first-class JSON handling for Java, Jackson is not limited to JSON: with no fewer than 9 supported data formats it can be used for reading and writing data in almost any data format. This talk offers introduction to reading and writing XML and CSV using Jackson.
This presentation deals with every possible topics under JSON (JavaScript Object Notation) which every web developers should know.
It is presented by Rajasekhar who works at United Online as a Web Developer
This document discusses the CSV (comma separated values) module in Python. It describes how to read and write CSV files using the csv.reader() and csv.writer() functions. It covers options for quoting fields, dialects for specifying CSV formats, and the csv.Sniffer class for automatically detecting delimiters in CSV data. Key points include:
- The csv.reader() function can be used to iterate through rows in a CSV file.
- The csv.writer() function writes data to a CSV file.
- The quoting parameter controls how non-numeric fields are handled.
- Dialects allow grouping common CSV options together for consistent parsing/writing.
This document provides an overview of JavaScript including:
- It is a dynamic programming language that is interpreted and has object-oriented capabilities. It was introduced in Netscape 2.0 in 1995.
- It allows for increased interactivity on webpages through features like validating user input without page reloads and creating rich interfaces.
- It has various data types, variables, operators, and control structures like conditionals and loops.
- It uses objects and object-oriented programming. Common built-in objects include numbers, strings, arrays, dates and more.
- Functions are reusable blocks of code that can be defined and called. Events allow JavaScript to interact with HTML. Regular expressions provide pattern matching capabilities.
The document provides an introduction to JSON (JavaScript Object Notation), including:
- JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It is derived from JavaScript.
- JSON supports two structures: a collection of name/value pairs and an ordered list of values. It includes strings, numbers, objects, arrays, true, false and null.
- The document discusses using JSON in Java with libraries like JSON-lib, including examples of creating JSONObjects and JSONArrays from Java objects.
This document provides an agenda and overview of a presentation on JavaScript. It introduces JavaScript, covering its history, cores, uses today, and programming paradigms. It then discusses object-oriented JavaScript, data types and structures, and control statements in JavaScript. The document also mentions functions, prototypes, and JSON before concluding with examples of libraries and frameworks that could be used in a demo program.
Esoft Metro Campus - Certificate in c / c++ programmingRasan Samarasinghe
Esoft Metro Campus - Certificate in java basics
(Template - Virtusa Corporate)
Contents:
Structure of a program
Variables & Data types
Constants
Operators
Basic Input/output
Control Structures
Functions
Arrays
Character Sequences
Pointers and Dynamic Memory
Unions
Other Data Types
Input/output with files
Searching
Sorting
Introduction to data structures
The document discusses JSON (JavaScript Object Notation), which is a lightweight data format that is easy for both humans and machines to read and write. It uses conventions familiar to programmers and is built upon two basic structures: 1) a collection of name/value pairs (objects) and 2) an ordered list of values (arrays). The document then provides more details on the syntax for objects, arrays, strings, numbers, and how these JSON elements can be nested.
This document provides an overview of JSON (JavaScript Object Notation), including what it is, its syntax, data types, and common uses. JSON is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It is built on two structures: a collection of name/value pairs and an ordered list of values. JSON is often used to transfer data between a server and web page without requiring a page refresh.
The document provides an overview of working with JSON (JavaScript Object Notation). It introduces JSON, explaining its need and comparing it to XML. It describes JSON syntax rules, data types, objects, and arrays. It discusses how JSON uses JavaScript syntax and can be used in files. The document also covers JSON security concerns, using JSON with JavaScript functions, client-side frameworks, server-side frameworks, replacing XML with JSON, and parsing and AJAX with JSON and jQuery.
This document provides an introduction and overview of key JavaScript concepts including data types, variables, objects, functions, and arrays. It discusses JavaScript's case sensitivity, optional semicolons, and comment syntax. It also covers numeric, string, boolean, and null/undefined data types as well as objects, functions, and arrays. Special values, operators, and methods are defined for working with each data type.
This document discusses using R for initial data analysis. It covers loading data into R from files or by typing it in, exploring and visualizing the data using basic statistics and graphs, and saving outputs. R allows importing data from various sources, creating and editing data structures, and exporting objects and plots for sharing results. The key is becoming familiar with R's programming environment and functions for summarizing, transforming, and visualizing data.
After 3 years, the third LTS version, Java 17, was released in September 2021. We all are very excited and keen to learn more about new changes it brings to us. However, many projects and products are still using Java 11, or even Java 8. In this session, we will not only focus on those amazing features, but also have a quick introduction on why we should migrate to Java 17 and how.
https://cyberjos.blog/java/seminar/jcconf-2021-java17-the-next-lts/
This document provides an overview of machine learning presented by Mr. Raviraj Solanki. It discusses topics like introduction to machine learning, model preparation, modelling and evaluation. It defines key concepts like algorithms, models, predictor variables, response variables, training data and testing data. It also explains the differences between human learning and machine learning, types of machine learning including supervised learning and unsupervised learning. Supervised learning is further divided into classification and regression problems. Popular algorithms for supervised learning like random forest, decision trees, logistic regression, support vector machines, linear regression, regression trees and more are also mentioned.
This document discusses various types of listeners and filters in Java servlets. It describes ServletContextListener, HttpSessionListener, and other listener interfaces that can be used to track lifecycle events. Filters are used for pre-processing requests and post-processing responses, and implement the Filter interface. The document provides examples of how to configure listeners and filters in web.xml and use them to handle events like session creation/destruction or authenticate users.
The document discusses how servlets can generate and manipulate HTTP responses. Servlets can set status codes, response headers, and content to control the server response. For images, servlets set the Content-Type, get an output stream, and write a BufferedImage to the stream in JPEG format. Servlets provide dynamic content while conforming to HTTP specifications for status codes, headers, and content types.
The document provides information on various web server software, web application servers, HTTP requests and responses, and the differences between web servers and application servers. It also discusses servlets, web applications, and the servlet API. Specifically, it lists popular web server software like Apache HTTP Server, Microsoft IIS, and Apache Tomcat. It explains how web application servers extend web servers to support dynamic content through templates, programs, and databases. It also defines the key components of HTTP requests and responses.
Python is a powerful and object-oriented programming language that has grown rapidly in popularity due to its simplicity and flexibility. It supports multiple programming paradigms and has a large standard library. Python source code is first compiled to bytecode, which is then executed by the Python Virtual Machine. While Java may be faster for single algorithms, Python is easier for beginners to learn and its dynamic typing and automatic memory management make programs quicker to write. It has gained widespread use for web development, data science, and scripting.
This document discusses various topics related to computer networking including protocols, sockets, IP addresses, URLs, reading web page source code, downloading files from the internet, TCP/IP and UDP servers and clients, file servers and clients, two-way communication between servers and clients, and sending simple emails. It provides information on networking hardware and software, protocols like TCP/IP and UDP, socket programming, parsing URLs, creating servers and clients, and sending/receiving data over networks.
The document provides an overview of JavaServer Pages (JSP) technology. It discusses how JSP pages allow mixing static HTML content with server-side Java code to create dynamic web pages. JSP pages are compiled into Java servlets, which generate the HTML responses. The document covers JSP syntax elements like scriptlets, expressions, and directives that allow embedding Java code in JSP pages. It also discusses JSP lifecycle phases like translation, compilation, execution and cleanup. Common JSP actions like include, forward, plugin and working with JavaBeans are also summarized.
Motion capture involves recording human movement digitally to create realistic animations. It began in the 1970s and has since spread. There are three main types: mechanical which tracks joint angles, magnetic which uses transmitters and receivers, and optical which uses cameras and reflective markers. Optical motion capture is most common due to its freedom of movement and high quality capture. Motion capture is used extensively in movies, video games, military, medicine, and more to create realistic animations and analyze movement.
This document summarizes a research paper on big data and Hadoop. It begins by defining big data and explaining how the volume, variety and velocity of data makes it difficult to process using traditional methods. It then discusses Hadoop, an open source software used to analyze large datasets across clusters of computers. Hadoop uses HDFS for storage and MapReduce as a programming model to distribute processing. The document outlines some of the key challenges of big data including privacy, security, data access and analytical challenges. It also summarizes advantages of big data in areas like understanding customers, optimizing business processes, improving science and healthcare.
This document provides an overview of machine learning in Python using key Python libraries. It discusses popular Python libraries for machine learning like NumPy, SciPy, Pandas, Matplotlib and scikit-learn. It outlines the typical steps in a machine learning project including defining the problem, preparing and summarizing data, evaluating algorithms, and presenting results. It also introduces the Iris dataset as a sample classification dataset and discusses loading, handling and visualizing sample data for a machine learning project in Python.
The document discusses multithreaded programming in Python. It covers threads and the threading module, the difference between single-threaded and multithreaded execution, and provides an example of multithreading. Key points include that threads are lightweight processes that can run concurrently within a larger parent process and share resources like memory. The threading module provides higher-level thread management compared to the lower-level thread module.
This document provides an overview of the Django web framework. It begins with definitions of Django and its model-view-template architecture. It then discusses Django's design philosophies of being loosely coupled, encouraging less coding through the DRY principle, and enabling fast development. The document outlines how to set up a Django environment, create a project and apps, develop views, integrate templates, and link everything together through URLs. In summary, it serves as a seminar covering the basic concepts and processes for building websites using the Django web framework in Python.
This document discusses Python database programming. It introduces databases and how they store data in tables connected through columns. It discusses SQL for creating, accessing, and manipulating database data. It then discusses how Python supports various databases and database operations. It covers the Python DB-API for providing a standard interface for database programming. It provides examples of connecting to a database, executing queries, and retrieving and inserting data.
This document defines basic terms related to web applications and HTTP protocols. It explains that a web application is delivered over the internet via a browser and HTML, dynamic pages can display different content than static pages. It also defines that HTTP is the set of rules for file transfers on the web and uses the TCP/IP protocol. The document discusses GET and POST methods for form data submission and that GET appends data to the URL while POST appends to the HTTP request body. It defines CGI as a standard for server-program interaction where requested files are executed as programs.
This document summarizes a seminar presentation on project management. It defines key terms like project, management, and project management. It also discusses the software development life cycle including requirements gathering, design, implementation, testing, deployment, and maintenance. Common software development models are outlined like waterfall, V-shaped, prototyping, spiral, iterative, and agile. Data flow diagrams are introduced as a way to graphically represent data flows in a system.
The document discusses Spring framework concepts including Spring beans, the IOC container, bean definition, and bean configuration using XML. Some key points:
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This document discusses programming languages, compilers vs interpreters, and introduces Python. It explains that a programming language communicates instructions to a machine and can be used to create programs. An interpreter reads and executes code directly, while a compiler converts source code into machine code. Python is an interpreted, object-oriented language that is easy to learn yet powerful. It can be used for web, enterprise, and other applications. The document also provides basic information on Python syntax and data types.
This document discusses leadership and motivation. It defines leadership as motivating a group towards a common goal and influencing people positively. Effective leaders know the way, go the way, and show the way. Leadership requires understanding followers and communicating well. The document also defines motivation as an internal drive that directs behavior. It discusses different leadership styles like autocratic and democratic. Motivation can be intrinsic, from internal satisfaction, or extrinsic, from external rewards/punishments. Leaders must understand what motivates followers in order to be successful.
This document discusses event handling in Java. It provides an introduction to event handling, the delegation event model, common event packages and classes in Java. It describes key concepts like events, event sources, event listeners, and how they interact in the delegation model. It provides examples of specific event classes like KeyEvent, ActionEvent, ItemEvent and the corresponding listener interfaces. It also demonstrates sample code for common listeners.
The document discusses various Java layout managers including FlowLayout, BorderLayout, CardLayout, GridLayout, and GridBagLayout. It provides details on their constructors, methods, and usage. FlowLayout is the default layout that arranges components from left to right, top to bottom. BorderLayout divides a container into five regions. CardLayout switches between panels like cards. GridLayout evenly divides space into a grid of rows and columns. GridBagLayout is more flexible than GridLayout and allows control of component size and position with GridBagConstraints.
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تتميز هذهِ الملزمة بعِدة مُميزات :
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
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Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
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2. CSVCSV
The csv module is useful for working
with data exported from
spreadsheets and databases into
text files formatted with fields and
records, commonly referred to as
comma-separated value (CSV) format
because commas are often used to
separate the fields in a record.
3. CSV is an short form for Comma Separated Values.
The CSV format is a very common data format
used by various programs and applications as a
format to export or import data.
Most spreadsheet and database applications offer
export and import facilities for CSV files.
CSV files generally store tables of data that
contain fields stored within records.
Each field in the record is separated by a
character within the CSV file and generally
new records start on a new line.
This is what a CSV file looks like that has been
exported from Excel:
4. CSV files are simple, lacking many of the
features of an Excel spreadsheet. For
example, CSV files:
Don’t have types for their values—
everything is a string
Don’t have settings for font size or
color
Don’t have multiple worksheets
Can’t specify cell widths and heights
Can’t have merged cells
Can’t have images or charts
embedded in them
5. The advantage of CSV files is simplicity.
CSV files are widely supported by many
types of programs, can be viewed in text
editors (including IDLE’s file editor), and
are a straightforward way to represent
spreadsheet data.
The CSV format is exactly as advertised:
It’s just a text file of comma-
separated values.
6. Spread sheet and corresponding CSV fileSpread sheet and corresponding CSV file
7. CSV formatCSV format
As simple as that sounds, even CSV format is
not completely universal ,different apps have
small variations
Python provides a module to deal with these
variations called the csv module
This module allows you to read
spreadsheet info into your program
We load the module in the usual way using
import:
11. JavaScript Object Notation (JSON)JavaScript Object Notation (JSON)
JSON or JavaScript Object Notation is a lightweight
text-based open standard designed for human-
readable data interchange.
Conventions used by JSON are known to
programmers, which include C, C++, Java, Python,
Perl, etc.
JSON stands for JavaScript Object Notation.
The format was specified by Douglas Crockford.
It was designed for human-readable data
interchange.
It has been extended from the JavaScript scripting
language.
12. Characteristics of JSONCharacteristics of JSON
JSON is easy to read and write.
It is a lightweight text-based interchange
format.
JSON is language independent.
13. JSON is Not
Overly Complex
A “document” format
A markup language
A programming language
14. JSON like XML
Plain text formats
“Self-describing“ (human readable)
Hierarchical (Values can contain lists of objects
or values)
Lighter and faster than XML
JSON uses typed objects. All XML values are
type-less strings and must be parsed at runtime.
Less syntax, no semantics
Properties are immediately accessible to
JavaScript code
15. JSON Object Syntax
Unordered sets of name/value pairs
Begins with { (left brace)
Ends with } (right brace)
Each name is followed by : (colon)
Name/value pairs are separated by ,
(comma)
17. Arrays in JSON
An ordered collection of values
Begins with [ (left bracket)
Ends with ] (right bracket)
Name/value pairs are separated by ,
(comma)
19. Data Types: Object & Array
Objects: Unordered key/value pairs
wrapped in { }
Arrays: Ordered key/value pairs wrapped
in [ ]
20. How & When to use JSON
Transfer data to and from a server
Perform asynchronous data calls without
requiring a page refresh
Working with data stores
Compile and save form or user data for
local storage
21.
22. JSONJSON
In Python, the json module provides an
API similar to convert in-memory Python
objects to a serialized representation
known as JavaScript Object Notation
(JSON) and vice-a-versa.
25. if you want to dump the JSON into a
file/socket or whatever, then you should
go for dump().
If you only need it as a string (for
printing, parsing or whatever) then use
dumps() (dump string)
26.
27. Options :
The default value of skipkeys is False. If skipkeys is True, then dict keys
that are not of a basic type (str, int, float, bool, None) will be skipped
instead of raising a TypeError.
The json module always produces str objects, not bytes objects.
Therefore, fp.write() must support str input.
If ensure_ascii is True (the default), the output is guaranteed to have
all incoming non-ASCII characters escaped. If ensure_ascii is False,
these characters will be output as-is.
The default value of check_circular is True. If check_circular is False,
then the circular reference check for container types will be skipped
and a circular reference will result in an OverflowError.
The default value of allow_nan is True. If allow_nan is False, then it
will be a ValueError to serialize out of range float values (nan, inf, -inf)
in strict compliance with the JSON specification, instead of using the
JavaScript equivalents (NaN, Infinity, -Infinity).
28. If indent is a non-negative integer or string, then JSON
array elements and object members will be pretty-
printed with that indent level. An indent level of 0,
negative, or "" will only insert newlines. None (the
default) selects the most compact representation. Using
a positive integer indent indents that many spaces per
level. If indent is a string (such as "t"), that string is
used to indent each level.
Use (',', ': ') as default if indent is not None.
The default value of sort_keys is False. If sort_keys is
True, then the output of dictionaries will be sorted by
key.
29. Decode JSON strings into PythonDecode JSON strings into Python
objectsobjects
30. Options :
The default value of skipkeys is False. If skipkeys is True, then dict
keys that are not of a basic type (str, int, float, bool, None) will be
skipped instead of raising a TypeError.
The json module always produces str objects, not bytes objects.
Therefore, fp.write() must support str input.
If ensure_ascii is True (the default), the output is guaranteed to have
all incoming non-ASCII characters escaped. If ensure_ascii is False,
these characters will be output as-is.
The default value of check_circular is True. If check_circular is False,
then the circular reference check for container types will be skipped
and a circular reference will result in an OverflowError.
The default value of allow_nan is True. If allow_nan is False (default:
True), then it will be a ValueError to serialize out of range float values
(nan, inf, -inf) in strict compliance with the JSON specification, instead
of using the JavaScript equivalents (NaN, Infinity, -Infinity).
31. If indent is a non-negative integer or string, then JSON
array elements and object members will be pretty-printed
with that indent level. An indent level of 0, negative, or ""
will only insert newlines. None (the default) selects the
most compact representation. Using a positive integer
indent indents that many spaces per level. If indent is a
string (such as "t"), that string is used to indent each level.
Use (',', ': ') as default if indent is not None.
default(obj) is a function that should return a serializable
version of obj or raise TypeError. The default simply
raises TypeError.
The default value of sort_keys is False. If sort_keys is
True, then the output of dictionaries will be sorted by key.
33. XMLXML
The Extensible Markup Language (XML) is a
markup language much like HTML or
SGML (standard generalized markup
language).
This is recommended by the World Wide
Web Consortium and available as an open
standard.
XML is extremely useful for keeping track
of small to medium amounts of data
without requiring a SQL-based backbone.
34. XML Parser Architectures and APIsXML Parser Architectures and APIs
A parser is a compiler or interpreter component that breaks
data into smaller elements for easy translation into another
language.
The Python standard library provides a minimal but useful set of interfaces
to work with XML.
The two most basic and broadly used APIs to XML data are the
SAX and DOM interfaces.
Simple API for XML (SAX) :
Here, you register callbacks for events of interest and then let the
parser proceed through the document.
This is useful when your documents are large or you have
memory limitations, it parses the file as it reads it from disk and
the entire file is never stored in memory.
Document Object Model (DOM) API :
This is a World Wide Web Consortium recommendation wherein the
entire file is read into memory and stored in a hierarchical (tree-
based) form to represent all the features of an XML document.
35. SAX obviously cannot process information
as fast as DOM can when working with
large files.
On the other hand, using DOM exclusively
can really kill your resources, especially if
used on a lot of small files.
SAX is read-only, while DOM allows
changes to the XML file.
Since these two different APIs literally
complement each other, there is no reason
why you can not use them both for large
projects.
36. Parsing XML with SAX APIsParsing XML with SAX APIs
SAX is a standard interface for event-driven XML parsing.
Parsing XML with SAX generally requires you to create
your own ContentHandler by subclassing
xml.sax.ContentHandler.
Your ContentHandler handles the particular tags and
attributes of your flavor(s) of XML.
A ContentHandler object provides methods to handle
various parsing events.
Its owning parser calls ContentHandler methods as it parses
the XML file.
The methods startDocument and endDocument are
called at the start and the end of the XML file.
The method characters(text) is passed character data
of the XML file via the parameter text.
37. The ContentHandler is called at the start
and end of each element.
If the parser is not in namespace mode,
the methods startElement(tag, attributes)
and endElement(tag) are called;
otherwise, the corresponding methods
startElementNS and endElementNS are
called.
Here, tag is the element tag, and attributes
is an Attributes object.
38. TheThe make_parsermake_parser MethodMethod
Following method creates a new parser
object and returns it.
The parser object created will be of the first
parser type the system finds.
xml.sax.make_parser( [parser_list] )
parser_list: The optional argument
consisting of a list of parsers to use which
must all implement the make_parser
method.
39. parseMethodparseMethod
Following method creates a SAX parser and
uses it to parse a document.
xml.sax.parse( xmlfile, contenthandler[,
errorhandler])
Here is the detail of the parameters:
xmlfile: This is the name of the XML file to read
from.
contenthandler: This must be a ContentHandler
object.
errorhandler: If specified, errorhandler must be a
SAX ErrorHandler object.
40. parseStringMethodparseStringMethod
There is one more method to create a SAX parser
and to parse the specified XML string.
xml.sax.parseString (xmlstring, contenthandler[, errorhandler])
Here is the detail of the parameters:
xmlstring: This is the name of the XML string to
read from.
contenthandler: This must be a ContentHandler
object.
errorhandler: If specified, errorhandler must be a
SAX ErrorHandler object.
41. Parsing XML with DOM APIsParsing XML with DOM APIs
The Document Object Model (DOM) is a cross-language
API from the World Wide Web Consortium (W3C) for
accessing and modifying XML documents.
The DOM is extremely useful for random-access
applications.
SAX only allows you a view of one bit of the document at a
time. If you are looking at one SAX element, you have
no access to another.
Here is the easiest way to quickly load an XML
document and to create a minidom object using the
xml.dom module.
The minidom object provides a simple parser method
that quickly creates a DOM tree from the XML file.
The sample phrase calls the parse( file [,parser] ) function
of the minidom object to parse the XML file
designated by file into a DOM tree object.