Threads allow multiple tasks to run concurrently within a single Java program. A thread represents a separate path of execution and threads can be used to improve performance. There are two main ways to create threads: by extending the Thread class or implementing the Runnable interface. Threads transition between different states like new, runnable, running, blocked, and terminated. Synchronization is needed to prevent race conditions when multiple threads access shared resources simultaneously. Deadlocks can occur when threads wait for each other in a circular manner.
Socket programming in Java allows applications to communicate over the internet. Sockets are endpoints for communication that are identified by an IP address and port number. A socket connection is established between a client and server socket. The server creates a welcoming socket to accept client connection requests, then a separate connection socket to communicate with that client. Data can be sent bidirectionally over the connected sockets as input/output streams. UDP uses datagram sockets without a connection, requiring the explicit destination address on each message.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
JavaScript is a scripting language used primarily for client-side web development. It is based on the ECMAScript standard but browsers support additional objects like Window and DOM objects. JavaScript can be used to create dynamic and interactive effects on web pages like menus, alerts, and updating content without reloading. It is commonly used for form validation, AJAX applications, and other interactive features. The document provides examples of basic JavaScript concepts like variables, data types, operators, and control structures and how to embed scripts in HTML.
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on File Handling with Python covers all the important aspects of using files in Python right from the introduction to what fields are, all the way till checking out the major aspects of working with files and using the code-first approach to understand them better.
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
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The document discusses exception handling in Java. It defines exceptions as runtime errors that occur during program execution. It describes different types of exceptions like checked exceptions and unchecked exceptions. It explains how to use try, catch, throw, throws and finally keywords to handle exceptions. The try block contains code that might throw exceptions. The catch block catches and handles specific exceptions. The finally block contains cleanup code that always executes regardless of exceptions. The document provides examples of exception handling code in Java.
An array in Linux allows storing multiple values of the same or different types. Arrays can be declared and initialized in different ways in Bash scripts. Some key points about arrays in Bash include:
- Arrays are automatically created when a variable is accessed with an index
- Individual elements can be accessed using name[index] syntax
- The length of an array can be obtained using ${#arrayname[@]}
- Elements can be added, removed, copied, concatenated and loaded from files into arrays for manipulation.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
Threads allow multiple tasks to run concurrently within a single Java program. A thread represents a separate path of execution and threads can be used to improve performance. There are two main ways to create threads: by extending the Thread class or implementing the Runnable interface. Threads transition between different states like new, runnable, running, blocked, and terminated. Synchronization is needed to prevent race conditions when multiple threads access shared resources simultaneously. Deadlocks can occur when threads wait for each other in a circular manner.
Socket programming in Java allows applications to communicate over the internet. Sockets are endpoints for communication that are identified by an IP address and port number. A socket connection is established between a client and server socket. The server creates a welcoming socket to accept client connection requests, then a separate connection socket to communicate with that client. Data can be sent bidirectionally over the connected sockets as input/output streams. UDP uses datagram sockets without a connection, requiring the explicit destination address on each message.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
JavaScript is a scripting language used primarily for client-side web development. It is based on the ECMAScript standard but browsers support additional objects like Window and DOM objects. JavaScript can be used to create dynamic and interactive effects on web pages like menus, alerts, and updating content without reloading. It is commonly used for form validation, AJAX applications, and other interactive features. The document provides examples of basic JavaScript concepts like variables, data types, operators, and control structures and how to embed scripts in HTML.
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on File Handling with Python covers all the important aspects of using files in Python right from the introduction to what fields are, all the way till checking out the major aspects of working with files and using the code-first approach to understand them better.
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
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The document discusses exception handling in Java. It defines exceptions as runtime errors that occur during program execution. It describes different types of exceptions like checked exceptions and unchecked exceptions. It explains how to use try, catch, throw, throws and finally keywords to handle exceptions. The try block contains code that might throw exceptions. The catch block catches and handles specific exceptions. The finally block contains cleanup code that always executes regardless of exceptions. The document provides examples of exception handling code in Java.
An array in Linux allows storing multiple values of the same or different types. Arrays can be declared and initialized in different ways in Bash scripts. Some key points about arrays in Bash include:
- Arrays are automatically created when a variable is accessed with an index
- Individual elements can be accessed using name[index] syntax
- The length of an array can be obtained using ${#arrayname[@]}
- Elements can be added, removed, copied, concatenated and loaded from files into arrays for manipulation.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
HTTP is an application-level protocol for distributed, collaborative hypermedia systems that has been used by the World Wide Web since 1990. The initial HTTP/0.9 version provided a simple protocol for raw data transfer, while HTTP/1.0 introduced MIME-like messages to include meta information and request/response modifiers. HTTP/1.0 did not sufficiently account for hierarchical proxies, caching, persistent connections or virtual hosts. HTTP sits at the top of the TCP/IP stack and uses ports to carry protocols between services, with HTTP typically using port 80. An HTTP message is delivered over a TCP/IP connection by chopping the message into chunks small enough to fit in TCP segments, which are then sent inside IP datagrams
Packages in Java allow grouping of related classes and interfaces to avoid naming collisions. Some key points about packages include:
- Packages allow for code reusability and easy location of files. The Java API uses packages to organize core classes.
- Custom packages can be created by specifying the package name at the beginning of a Java file. The class files are then compiled to the corresponding directory structure.
- The import statement and fully qualified names can be used to access classes from other packages. The classpath variable specifies locations of package directories and classes.
The document provides information on servlet fundamentals including definitions, applications, architecture, lifecycle, and development process. Some key points include:
- Servlets are Java programs that run on web servers and interact with clients via HTTP requests and responses. They provide dynamic content and process user input.
- Common servlet applications include search engines, e-commerce sites, and intranets.
- The servlet lifecycle includes initialization, processing requests, and destruction. Servlets remain loaded in memory between requests for improved performance over CGI.
- To develop a servlet, you create a class that implements the Servlet interface, define request handling methods, compile it, deploy it in a web container
YouTube Link: https://youtu.be/QswQA1lRIQY
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Collections In Python' will cover the concepts of Collection data type in python along with the collections module and specialized collection data structures like counter, chainmap, deque etc. Following are the topics discussed:
What Are Collections In Python?
What Is A Collection Module In Python?
Specialized Collection Data Structures
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This document discusses implementation of inheritance in Java and C#. It covers key inheritance concepts like simple, multilevel, and hierarchical inheritance. It provides examples of inheritance in Java using keywords like extends, super, this. Interfaces are discussed as a way to achieve multiple inheritance in Java. The document also discusses implementation of inheritance in C# using concepts like calling base class constructors and defining virtual methods.
The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
Method overriding allows a subclass to provide a specific implementation of a method that is already provided by its superclass. The subclass method must have the same name, parameters and return type as the superclass method. This allows the subclass to modify the behavior as needed and is how polymorphism is implemented. The super keyword can be used to call the superclass method from the overriding method.
Python is an interpreted, object-oriented, high-level programming language. It emphasizes code readability and simplifies programming tasks. The document discusses Python's history and uses. It also covers installing Python, data types, variables, basic programming concepts like conditionals and loops, connecting to SQLite databases, and developing graphical user interfaces with PyQt. Python can be used to build various applications including web apps, GUIs, software tools, network programs, and for tasks like database access, automation, image processing, and interfacing with devices like Raspberry Pi.
( ** Python Certification Training: https://www.edureka.co/python ** )
This Edureka PPT on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface (GUI) using Python. It establishes all of the concepts needed to get started with building your own user interfaces while coding in Python.
Tuples are immutable ordered sequences of elements that are accessed using indexes. They are written with round brackets. Tuples can contain elements of different data types and duplicate values are allowed. Tuples use less memory than lists and their elements cannot be changed once created, though they can be deleted and new tuples can be created. Tuples elements are iterated faster than lists and are well suited for tasks that only require accessing elements.
This document discusses templates in C++. Templates allow functions and classes to operate on different data types in a generic way. Function templates define functions that can accept different data types as parameters. Class templates define classes that can work with different types. Examples are provided to demonstrate function and class templates, including defining a max function and pair class that work for both integer and float data types. Templates support generic programming and allow reusable software components to handle different types in a single framework.
Arrays in Python can hold multiple values and each element has a numeric index. Arrays can be one-dimensional (1D), two-dimensional (2D), or multi-dimensional. Common operations on arrays include accessing elements, adding/removing elements, concatenating arrays, slicing arrays, looping through elements, and sorting arrays. The NumPy library provides powerful capabilities to work with n-dimensional arrays and matrices.
The document discusses various PHP functions for manipulating files including:
- readfile() which reads a file and writes it to the output buffer
- fopen() which opens files and gives more options than readfile()
- fread() which reads from an open file
- fclose() which closes an open file
- fgets() which reads a single line from a file
- feof() which checks if the end-of-file has been reached
It also discusses sanitizing user input before passing it to execution functions to prevent malicious commands from being run.
Tkinter is a standard GUI library for Python that provides a powerful object-oriented interface to the Tk GUI toolkit. It allows for the creation of GUI applications through widgets like buttons, labels, text boxes, and more. Tkinter applications start with importing the library and creating a main window with Tk(), then entering the main event loop with mainloop() to wait for and process events. Widgets can be organized and placed within the main window using geometry managers like pack(), grid(), and place(). Events can also be handled through binding Python functions to different widget events.
The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
The document discusses various PHP array functions including:
- Array functions like array_combine(), array_count_values(), array_diff() for comparing and merging arrays.
- Sorting arrays with asort(), arsort(), ksort(), krsort().
- Other functions like array_search(), array_sum(), array_rand() for searching, summing and random values.
- Modifying arrays with array_push(), array_pop(), array_shift() for adding/removing elements.
The document provides examples of using each array function in PHP code snippets.
This document discusses tools for testing web services over HTTP in Python. It introduces HTTPie, a command line tool for making HTTP requests, and Behave, a behavior-driven development tool that uses the Gherkin language to write human-readable test cases. The document provides examples of using HTTPie to debug services and Behave steps to test authentication on a sample API.
The document discusses integration testing for web applications in Python. It describes integration tests as high-level tests that simulate browser interactions and span multiple components. It then discusses different tools for integration testing like Selenium, Splinter and a custom library called easy_integration that aims to simplify the process. The key benefits of easy_integration are that it runs on top of Splinter and Selenium without requiring manual browser object management and has a simple API for common test actions.
HTTP is an application-level protocol for distributed, collaborative hypermedia systems that has been used by the World Wide Web since 1990. The initial HTTP/0.9 version provided a simple protocol for raw data transfer, while HTTP/1.0 introduced MIME-like messages to include meta information and request/response modifiers. HTTP/1.0 did not sufficiently account for hierarchical proxies, caching, persistent connections or virtual hosts. HTTP sits at the top of the TCP/IP stack and uses ports to carry protocols between services, with HTTP typically using port 80. An HTTP message is delivered over a TCP/IP connection by chopping the message into chunks small enough to fit in TCP segments, which are then sent inside IP datagrams
Packages in Java allow grouping of related classes and interfaces to avoid naming collisions. Some key points about packages include:
- Packages allow for code reusability and easy location of files. The Java API uses packages to organize core classes.
- Custom packages can be created by specifying the package name at the beginning of a Java file. The class files are then compiled to the corresponding directory structure.
- The import statement and fully qualified names can be used to access classes from other packages. The classpath variable specifies locations of package directories and classes.
The document provides information on servlet fundamentals including definitions, applications, architecture, lifecycle, and development process. Some key points include:
- Servlets are Java programs that run on web servers and interact with clients via HTTP requests and responses. They provide dynamic content and process user input.
- Common servlet applications include search engines, e-commerce sites, and intranets.
- The servlet lifecycle includes initialization, processing requests, and destruction. Servlets remain loaded in memory between requests for improved performance over CGI.
- To develop a servlet, you create a class that implements the Servlet interface, define request handling methods, compile it, deploy it in a web container
YouTube Link: https://youtu.be/QswQA1lRIQY
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Collections In Python' will cover the concepts of Collection data type in python along with the collections module and specialized collection data structures like counter, chainmap, deque etc. Following are the topics discussed:
What Are Collections In Python?
What Is A Collection Module In Python?
Specialized Collection Data Structures
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This document discusses implementation of inheritance in Java and C#. It covers key inheritance concepts like simple, multilevel, and hierarchical inheritance. It provides examples of inheritance in Java using keywords like extends, super, this. Interfaces are discussed as a way to achieve multiple inheritance in Java. The document also discusses implementation of inheritance in C# using concepts like calling base class constructors and defining virtual methods.
The document discusses file handling in Python. It explains that a file is used to permanently store data in non-volatile memory. It describes opening, reading, writing, and closing files. It discusses opening files in different modes like read, write, append. It also explains attributes of file objects like name, closed, and mode. The document also covers reading and writing text and binary files, pickle module for serialization, and working with CSV files and the os.path module.
Method overriding allows a subclass to provide a specific implementation of a method that is already provided by its superclass. The subclass method must have the same name, parameters and return type as the superclass method. This allows the subclass to modify the behavior as needed and is how polymorphism is implemented. The super keyword can be used to call the superclass method from the overriding method.
Python is an interpreted, object-oriented, high-level programming language. It emphasizes code readability and simplifies programming tasks. The document discusses Python's history and uses. It also covers installing Python, data types, variables, basic programming concepts like conditionals and loops, connecting to SQLite databases, and developing graphical user interfaces with PyQt. Python can be used to build various applications including web apps, GUIs, software tools, network programs, and for tasks like database access, automation, image processing, and interfacing with devices like Raspberry Pi.
( ** Python Certification Training: https://www.edureka.co/python ** )
This Edureka PPT on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface (GUI) using Python. It establishes all of the concepts needed to get started with building your own user interfaces while coding in Python.
Tuples are immutable ordered sequences of elements that are accessed using indexes. They are written with round brackets. Tuples can contain elements of different data types and duplicate values are allowed. Tuples use less memory than lists and their elements cannot be changed once created, though they can be deleted and new tuples can be created. Tuples elements are iterated faster than lists and are well suited for tasks that only require accessing elements.
This document discusses templates in C++. Templates allow functions and classes to operate on different data types in a generic way. Function templates define functions that can accept different data types as parameters. Class templates define classes that can work with different types. Examples are provided to demonstrate function and class templates, including defining a max function and pair class that work for both integer and float data types. Templates support generic programming and allow reusable software components to handle different types in a single framework.
Arrays in Python can hold multiple values and each element has a numeric index. Arrays can be one-dimensional (1D), two-dimensional (2D), or multi-dimensional. Common operations on arrays include accessing elements, adding/removing elements, concatenating arrays, slicing arrays, looping through elements, and sorting arrays. The NumPy library provides powerful capabilities to work with n-dimensional arrays and matrices.
The document discusses various PHP functions for manipulating files including:
- readfile() which reads a file and writes it to the output buffer
- fopen() which opens files and gives more options than readfile()
- fread() which reads from an open file
- fclose() which closes an open file
- fgets() which reads a single line from a file
- feof() which checks if the end-of-file has been reached
It also discusses sanitizing user input before passing it to execution functions to prevent malicious commands from being run.
Tkinter is a standard GUI library for Python that provides a powerful object-oriented interface to the Tk GUI toolkit. It allows for the creation of GUI applications through widgets like buttons, labels, text boxes, and more. Tkinter applications start with importing the library and creating a main window with Tk(), then entering the main event loop with mainloop() to wait for and process events. Widgets can be organized and placed within the main window using geometry managers like pack(), grid(), and place(). Events can also be handled through binding Python functions to different widget events.
The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
The document discusses various PHP array functions including:
- Array functions like array_combine(), array_count_values(), array_diff() for comparing and merging arrays.
- Sorting arrays with asort(), arsort(), ksort(), krsort().
- Other functions like array_search(), array_sum(), array_rand() for searching, summing and random values.
- Modifying arrays with array_push(), array_pop(), array_shift() for adding/removing elements.
The document provides examples of using each array function in PHP code snippets.
This document discusses tools for testing web services over HTTP in Python. It introduces HTTPie, a command line tool for making HTTP requests, and Behave, a behavior-driven development tool that uses the Gherkin language to write human-readable test cases. The document provides examples of using HTTPie to debug services and Behave steps to test authentication on a sample API.
The document discusses integration testing for web applications in Python. It describes integration tests as high-level tests that simulate browser interactions and span multiple components. It then discusses different tools for integration testing like Selenium, Splinter and a custom library called easy_integration that aims to simplify the process. The key benefits of easy_integration are that it runs on top of Splinter and Selenium without requiring manual browser object management and has a simple API for common test actions.
More and more web projects require interfacing with the backend using a REST-ful interface. In this presentation we'll discuss Django-REST-Framework's features and walk through how to integrate it into your next project!
Python RESTful webservices with Python: Flask and Django solutionsSolution4Future
Slides contain RESTful solutions based on Python frameworks like Flask and Django. The presentation introduce in REST concept, presents benchmarks and research for best solutions, analyzes performance problems and shows how to simple get better results. Finally presents soruce code in Flask and Django how to make your own RESTful API in 15 minutes.
Building Automated REST APIs with PythonJeff Knupp
Writing REST APIs with ORMs and web frameworks is a chore. I'm lazy, and I don't want to write boring code. In this talk, I'll go over what REST APIs are, why they're useful, and why we should never have to write one from scratch again.
By the end of this talk, we'll have achieved developer Nirvana: a RESTful API service and Admin interface for existing databases *without writing any code*.
Create responsive websites with Django, REST and AngularJSHannes Hapke
The document discusses 10 steps to make a Django site more responsive by adding a REST API and using AngularJS for the front-end: 1) Create an API endpoint for the Django models, 2) Set up the JavaScript environment and install AngularJS, 3) Create a static AngularJS site, 4) Use verbatim tags to avoid conflicts between Django and AngularJS variables, 5) Connect AngularJS to the API, 6) Take advantage of the Django REST Framework features, 7) Handle asynchronous data loading, 8) Add forms and POST requests, 9) Clean up settings.py, and 10) Document the API. The goal is to keep the back-end lightweight Django while building a more responsive and
This document outlines exercises for learning REST APIs with Python in 90 minutes. It introduces REST APIs and JSON format and how to make GET and POST requests using curl, requests module, and Python scripts. Exercises include making GET requests to retrieve headers and JSON data, handling HTTPS and basic authentication, and posting data to create a GitHub gist. The homework is to implement full CRUD operations for gists API, use OAuth for GitHub authentication, and get Jenkins job details in Python scripts.
Débuter avec phonegap (APACHE CORDOVA) dans eclipse pour androidBosco Basabana
PhoneGap permet de créer des applications multi plates-formes mobiles. Il prend actuellement en charge iOS, Android, HP webOS, BlackBerry et Symbian. Celles-ci sont développées en HTML5, Javascript et CSS et sont hybrides, ce qui signifie qu'elles ne sont ni vraiment natives, ni purement basées sur le Web.
Cette outil permet ainsi de construire des applications sur chacune des plates-formes, sans avoir à apprendre l'Objective-C, Java ou autre langage de programmation. PhoneGap prend également en charge tous les cadres ouverts avec lesquels on a l'habitude de travailler, comme jQuery, Sencha,....
PhoneGap a été développé par Nitobi lors d'un événement (l'iOSDevCamp à San Francisco) et va continuer à avoir du succès à la conférence O'Reilly Média. Ce Software fut ensuite racheté le 4 octobre 2011 par Adobe Systems.
Désormais connu depuis son rachat sous le nom de Apache Callback et plus récent sous le nom de Apache Cordova (le nom "Callback" ayant été jugé comme trop générique), ce dernier continue encore à attirer les développeurs.
Eclipse est un environnement de développement intégré libre (IDE), supportant de nombreux langages de programmation. Il produit et fournit des outils pour la réalisation de logiciels, englobant les activités de programmation, de modélisation, de conception, de test et de reporting.
Android quant à lui est un système d'exploitation Open Source utilisant le noyau Linux, pour smartphones, PDA, terminaux mobiles ainsi que de nombreux autres appareils. Il a été conçu par Android, une startup rachetée par Google et son support est réalisé en Java.
Le développement d'applications Android fait cependant appel à un certain nombre de pré-requis en programmation:
Créer une api publique avec Django REST frameworkBleemeo
This document discusses best practices for creating a public API with Django REST Framework. It recommends securing settings, abstracting the data model, and optimizing for performance. Authentication and permissions are important to implement, including deactivating the browsable API and HTTP options. Pagination, searching, and limiting response fields are also covered. Resources like workshops and articles on authentication, authorization, and exceptions with Django REST Framework are provided.
Developing RESTful Web APIs with Python, Flask and MongoDBNicola Iarocci
Presented at EuroPython 2012. The abstract: "In the last year we have been working on a full featured, Python powered, RESTful Web API. We learned quite a few things on REST best patterns, and we got a chance to put Python’s renowned web capabilities under review, even releasing a couple Open Source projects in the process. In my talk I will share what we learned. We will consider ‘pure’ REST API design and its many hurdles. We will look at what Python as to offer in this field and finally, we will dig further down by looking at some of the code we developed. Some of the technologies/stacks I’ll cover are (in no particular order): Flask, PyMongo, MongoDB, REST, JSON, XML, Heroku. Did you know? Like it or not, there is going to be a REST API in your future."
Crossing the Boundaries of Web Applications with OpenSocialBastian Hofmann
Bastian Hofmann presented on OpenSocial, a specification that allows third-party applications called gadgets to be included in social networking services. OpenSocial defines APIs for accessing a user's social graph and features like profiles, groups, and embedded experiences. It also describes how gadgets can be built with HTML, JavaScript, and other web technologies and rendered securely in different containers using techniques like proxies and iframes.
[SharePoint Korea Conference 2013 / 강율구] Sharepoint 스마트하게 개발하기lanslote
This document summarizes a presentation on smart SharePoint development. It discusses REST/OData APIs, the Client-Side Object Model, and SOAP web services. For REST/OData, it covers architecture, operations, and advantages of using URIs and HTTP methods. For CSOM, it outlines the architecture, object models, and advantages of familiar .NET development. For SOAP, it describes the standard and lists SharePoint web services supported across versions. Code examples demonstrate creating a site using REST and adding permissions using JavaScript CSOM.
Apache Aries is an open source project for building enterprise OSGi applications. It provides several integration components like Blueprint container, JPA integration, and JNDI integration. The Aries project was created in 2009 and is currently used by projects like Apache Geronimo, Apache Felix, and JBoss OSGi. It aims to develop more application-centric features in the future like message-driven blueprint components and declarative security.
(DEV309) From Asgard to Zuul: How Netflix’s Proven Open Source Tools Can Help...Amazon Web Services
The document describes Netflix's microservices architecture using various open source technologies like Eureka, Ribbon, Hystrix, and Zuul. Key aspects include service discovery and load balancing via Eureka and Ribbon, circuit breaking with Hystrix, and API routing/filtering with Zuul. The architecture supports large scale and rapid development of microservices.
Building Serverless Applications Using AWS AppSync and Amazon Neptune (SRV307...Amazon Web Services
In this session, learn how to build a data driven, serverless calorie tracker application with real-time, offline, and data syncing capabilities. The application provides an overview of your progress toward the calorie intake goal you've set, recommended intake remains, and breakdown of calories consumed. Use Amazon Cognito to build signup and sign-in capabilities as well as federated login to Facebook. The application integrates with AWS AppSync to provide real-time data from multiple data sources through GraphQL technology as well as offline capability. AWS AppSync makes it easy to access this data and provide the exact information your application needs. As a bonus, learn to use Amazon Neptune, a fully managed graph database, to build a personalized recommendation engine for calorie intake.
JBUG 11 - Django-The Web Framework For Perfectionists With DeadlinesTikal Knowledge
The document discusses Django, an open-source web framework for Python. It highlights how Django can shorten development time for web applications by automating common tasks. It provides examples of how Django handles data modeling, views, templates, and other features out of the box. The document also lists many successful websites built with Django that demonstrate its performance, scalability, and popularity in the developer community.
Jeff Scudder, Eric Bidelman
The number of APIs made available for Google products has exploded from a handful to a slew! Get
the big picture on what is possible with the APIs for everything from YouTube, to Spreadsheets, to
Search, to Translate. We'll go over a few tools to help you get started and the things these APIs share
in common. After this session picking up new Google APIs will be a snap.
TypePad Motion is a Django web application for creating community microblogging sites. It uses the TypePad API as a backend data store, so you don't have to worry about scaling, backups, or any related infrastructure. All you need is a web server.
Service workers - Forza lavoro al servizio della tua PerformancePiero Bellomo
Video qui: https://www.youtube.com/watch?v=Vr0SiZnIlc4
Introduzione alle PWA e al ruolo dei Service Workers.
Approfondimento sull'uso dei Service Workers per migliorare la performance.
Appendice con fonti e risorse utili.
Gohan : YAML-based REST API Service Definition Language
API Definition Generation (including Swagger)
DB Table Generation & OR Mapping
Support Custom Logic using Gohan Script (Javascript, and Go)
Extensible Role-Based Access Control
etcd integration
Best Practices for Architecting a Pragmatic Web API.Mario Cardinal
This presentation teach how to design a real-world and pragmatic web API. It draws from the experience Mario Cardinal have gained over the years being involved architecting many Web API. This presentation begins by differencing between a Web and a REST API, and then continue with the design process. We conclude with the core learnings of the session which is a review of the best practices when designing a web API. Armed with skills acquired, you can expect to see significant improvements in your ability to design a pragmatic web API.
This talk is primarily for web developers. It's about understanding how to write an API client that is testable and sensible without being more opinionated than necessary.
A Python-centric talk given at PyTennessee 2015 in Nashville, TN.
Hooray, open source Swift finally arrived on Linux in December. Let’s see how easy it is to use Swift for your backend and why Swift is a good choice for safe and fast development.
How to Build a Backend for an Alexa Smart Home Skill - ALX316 - re:Invent 2017Amazon Web Services
In this hands-on workshop, you learn how to build a skill and a supporting backend for Alexa that uses the APIs for Alexa Smart Home. This session involves creating a solution that implements some of the key services in supporting an Alexa Smart Home Skill including directive and event handling, device discovery, endpoint messages, and asynchronous messaging.
This is the slides I used when I shared my humble insight on Django to the students in University of Taipei in 2016. Please feel free to correct me if there is anything wrong.
SymfonyCon Berlin 2016 - Symfony Plugin for PhpStorm - 3 years laterHaehnchen
In 2013 the "Symfony Plugin" for PhpStorm was born. Today we see over 1 million downloads and several other plugins for projects like Laravel, Drupal, Shopware, ... that help to improve your productivity.
I will talk about Symfony related features and will give you some tips and tricks. Also, we take a look at the infrastructure behind these plugins and how I maintain all of them.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
4. A Python a web service
Tools & Utilities
WEB APPLICATION
5. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
6. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
7. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
management tools
supporting services
Worker Process
8. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
management tools
user interface
supporting services
api service
data persistence
auth
crud admin
Worker Process
9. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
data persistence
auth
crud admin
10. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
data persistence
auth
crud admin
11. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
data persistence
auth
crud admin
12. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
data persistence
auth
crud admin
13. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
data persistence
auth
crud admin
14. A Python a web service
Single codebase are
EVIL!
15. A Python a web service
WEB APPLICATION
Tools & Utilities
Web Process
Worker Process
management tools
user interface
deferred tasks
supporting services
api service
scheduled tasks
SS
E
M
AL
T
TO
data persistence
auth
crud admin
21. A Python a web service
Good API
Intuitive
similar things should be similar,
ugly things should look ugly
Documented
Opinionated
22. A Python a web service
Features
posting of data
with validation
pagination
propper HTTP
response handling
permissions
throttling
serialization
authentification
23. A Python a web service
Django
regex routing system
24. A Python a web service
Django
regex routing system
built-in orm
25. A Python a web service
Django
users = Users.objects.filter(last_login__lt=timestamp)
26. A Python a web service
Django
regex routing system
built-in orm
templating system
auth
management tools
crud admin
migrations
testing tools
makes decision for you
61. A Python a web service
class ParentResource(ModelResource):
children = fields.ToManyField(ChildResource, ‘children’)
def prepend_urls(self):
return [
url(r”^(?P<resource_name>%s)/(?P<pk>w[w/-]*)/children%s$” % (self._meta.resource_name, trailing_
slash()), self.wrap_view(‘get_children’), name=”api_get_children”),
]
def get_children(self, request, **kwargs):
try:
bundle = self.build_bundle(data={‘pk’: kwargs[‘pk’]}, request=request)
obj = self.cached_obj_get(bundle=bundle, **self.remove_api_resource_names(kwargs))
except ObjectDoesNotExist:
return HttpGone()
except MultipleObjectsReturned:
return HttpMultipleChoices(“More than one resource is found at this URI.”)
child_resource = ChildResource()
return child_resource.get_detail(request, parent_id=obj.pk)
62. A Python a web service
Depends on Django >
get all the Django mess
63. A Python a web service
Can do lot black magic
Can do aalot of black magic
67. A Python a web service
from flask import Flask
app = Flask(__name__)
@app.route(“/”)
def hello():
return “Hello World!”
if __name__ == “__main__”:
app.run()
68. A Python a web service
Werkzeug, Jinja 2 and good intentions
69. A Python a web service
Very small and easy to learn
(super intuitive)
70. A Python a web service
Solid and well documented
71. A Python a web service
Awesome and strong community
84. A Python a web service
Resources
Kenneth Reitz
Flask Goodness
API Driven Development
How I develop Things and Why?
Kevin Lacker
How to Design Great APIs?
85. A Python a web service
Thank you!
DRINK ALL THE BEERS!