This document presents a natural language query-based function search engine and code generation approach for application programming interfaces (APIs). It extracts keywords from queries and API specifications to retrieve relevant functions. It also parses queries to extract variables and maps them to function calls. The approach was implemented in a function search engine (FSE) and evaluated through user studies, finding most functions retrieved were relevant to requests and correct code was generated over 90% of the time.
This document discusses functions in Python. It defines a function as a block of reusable code that has a name. The function header includes the name, parameters in parentheses, and return type. The function body contains the code within curly braces. Functions are called by their name and parameters are passed within parentheses. Examples are provided of defining, calling, and returning values from functions in Python.
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
Functions are blocks of reusable code that perform specific tasks. There are three types of functions in Python: built-in functions, anonymous lambda functions, and user-defined functions. Functions help organize code by breaking programs into smaller, modular chunks. They reduce code duplication, decompose complex problems, improve clarity, and allow code reuse. Functions can take arguments and return values. Built-in functions are pre-defined to perform operations and return results when given the required arguments.
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
The document discusses various concepts related to functions in Python including defining functions, passing arguments, default arguments, arbitrary argument lists, lambda expressions, function annotations, and documentation strings. Functions provide modularity and code reusability. Arguments can be passed by value or reference and default values are evaluated once. Keyword, arbitrary and unpacked arguments allow flexible calling. Lambda expressions define small anonymous functions. Annotations provide type metadata and docstrings document functions.
This document provides an introduction to classes and objects in C++. It defines key concepts like class, object, member functions, access specifiers, and arrays of objects. It also discusses defining objects of a class, accessing class members, passing objects as function arguments, and the differences between classes and structures in C++.
This document discusses functions in Python. It defines a function as a block of reusable code that has a name. The function header includes the name, parameters in parentheses, and return type. The function body contains the code within curly braces. Functions are called by their name and parameters are passed within parentheses. Examples are provided of defining, calling, and returning values from functions in Python.
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
Functions are blocks of reusable code that perform specific tasks. There are three types of functions in Python: built-in functions, anonymous lambda functions, and user-defined functions. Functions help organize code by breaking programs into smaller, modular chunks. They reduce code duplication, decompose complex problems, improve clarity, and allow code reuse. Functions can take arguments and return values. Built-in functions are pre-defined to perform operations and return results when given the required arguments.
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
The document discusses various concepts related to functions in Python including defining functions, passing arguments, default arguments, arbitrary argument lists, lambda expressions, function annotations, and documentation strings. Functions provide modularity and code reusability. Arguments can be passed by value or reference and default values are evaluated once. Keyword, arbitrary and unpacked arguments allow flexible calling. Lambda expressions define small anonymous functions. Annotations provide type metadata and docstrings document functions.
This document provides an introduction to classes and objects in C++. It defines key concepts like class, object, member functions, access specifiers, and arrays of objects. It also discusses defining objects of a class, accessing class members, passing objects as function arguments, and the differences between classes and structures in C++.
This document contains the slides for a presentation on Java 8 Lambdas and Streams. The presentation will cover lambdas, including their concept, syntax, functional interfaces, variable capture, method references, and default methods. It will also cover streams. The slides provide some incomplete definitions that will be completed during the presentation. Questions from attendees are welcome. A quick survey asks about past experience with lambdas and streams.
Lambda expressions, default methods in interfaces, and the new date/time API are among the major new features in Java 8. Lambda expressions allow for functional-style programming by treating functionality as a method argument or anonymous implementation. Default methods add new capabilities to interfaces while maintaining backwards compatibility. The date/time API improves on the old Calendar and Date APIs by providing immutable and easier to use classes like LocalDate.
Introduction of Java 8 with emphasis on Lambda Expressions and StreamsEmiel Paasschens
Lambda expressions and streams are major new features in Java 8. Lambda expressions allow treating functionality as a method argument or variable. Streams provide a new way to process collections of objects in a declarative way using intermediate and terminal operations. The document provides examples of lambda expressions, method references, functional interfaces, default methods on interfaces, and stream operations like filter, map, and reduce.
In this Meetup Victor Perepelitsky - R&D Technical Leader at LivePerson leading the 'Real Time Event Processing Platform' team , will talk about Java 8', 'Stream API', 'Lambda', and 'Method reference'.
Victor will clarify what functional programming is and how can you use java 8 in order to create better software.
Victor will also cover some pain points that Java 8 did not solve regarding functionality and see how you can work around it.
This document discusses different types of functions in C programming. It defines library functions, user-defined functions, and the key elements of functions like prototypes, arguments, parameters, return values. It categorizes functions based on whether they have arguments and return values. The document also explains how functions are called, either by value where changes are not reflected back or by reference where the original values are changed.
Actor based approach in practice for Swift developersBartosz Polaczyk
Actor based programming is an alternative way to write your code in a way it is by design asynchronous-friendly to write and test. Proposed in 70's, recently receives more and more popularity in many different programming areas.
If you ever heard about actors but wasn't sure about benefit of using it in iOS apps, this presentation is for you! I will guide you through main concepts and demonstrate practical approach to implement it in Swift.
The document discusses user defined functions in C. It explains that functions allow programmers to break programs into modular, reusable chunks of code. It covers the basics of defining functions, including function headers, parameters, return types, and calling functions. Examples are provided to illustrate defining and calling simple functions.
Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Siteimprove internal TechTalk.
Discussing what Accessible Names mean in a web context and how to add good Accessible Names through code and copywriting.
Cover Basic concept for Functional Programming in Java. Define new functional interfaces, lambda expressions, how to translate lambda expression, JVM deal with new byte code etc. This is not the perfect slides for functional programming, but trying cover simple basic functional programming.
The document discusses functions in C programming. It defines a function as a self-contained block of code that performs a specific task. Functions make code more modular and reusable. There are two types of functions: standard/library functions and user-defined functions. Functions can take input parameters and return values. Functions are an essential part of program structure in C as they help organize code and logic.
The document discusses new features introduced in Java 8, including allowing static and default methods in interfaces, lambda expressions, and the Stream API. Key points include: interfaces can now contain static and default methods; lambda expressions provide a concise way to implement functional interfaces and allow passing code as a method argument; and the Stream API allows operations on sequences of data through intermediate and terminal operations.
Functions and types of user defined functions inRAMYASREEKUPPALA
MATLAB Programming
as it is known that functions is most important concept in any programming language.here in this slide i have mentioned about what is function in MATLAB and how they are classified and different kinds of user defined functions along with their examples.
This document provides an agenda for a Java 8 training session that covers Lambdas and functional interfaces, the Stream API, default and static methods in interfaces, Optional, the new Date/Time API, and Nashorn JavaScript engine. It includes sections on Lambda expressions and method references syntax, functional interfaces, built-in functional interfaces, streams versus collections, using Optional to avoid null checks, extending interfaces with default methods, and key concepts of the new Date/Time and Nashorn JavaScript APIs.
SociaLite: High-level Query Language for Big Data AnalysisDataWorks Summit
This document describes SociaLite, a high-level query language for analyzing big data. SociaLite compiles queries to distributed code for efficient execution. It supports distributed tables, rules, and Python integration. SociaLite can be used for graph analysis, data mining, and relational queries. It provides built-in algorithms like shortest paths, PageRank, k-means clustering, and logistic regression. Evaluation shows SociaLite achieves 1000x speedup over Hadoop and scales to large clusters with near-linear speedup.
The is the RFC for AvocadoDB's query language. AvocadoDB is an open source nosql database (see www.avocadodb.org) offering a mixture of data models like key value pairs, documents and graphs.
The REST API for AvocadoDB is already available and stable and people are writing APIs using it. Awesome. As AvocacoDB offers more complex data structures like graphs and lists REST is not enough. We implemented a first version of a query language some time ago which is very similar to SQL and UNQL.
Then we realized that this approach was not completely satisfying as some queries cannot expressed very well with it, especially multi-valued attributes/lists. UNQL addresses this partly, but does not go far enough. Another issue are graphs. AvocadoDB supports querying graphs, neither SQL nor UNQL offer any "natural" graph traversal facilities.
As we did not find any existing query language that addresses the problems we found we had to define a new query language which is presented in the presentation.
Have some feedback on this? Come to www.avocadodb.org and tell us what you think about it. :-)
This document contains the slides for a presentation on Java 8 Lambdas and Streams. The presentation will cover lambdas, including their concept, syntax, functional interfaces, variable capture, method references, and default methods. It will also cover streams. The slides provide some incomplete definitions that will be completed during the presentation. Questions from attendees are welcome. A quick survey asks about past experience with lambdas and streams.
Lambda expressions, default methods in interfaces, and the new date/time API are among the major new features in Java 8. Lambda expressions allow for functional-style programming by treating functionality as a method argument or anonymous implementation. Default methods add new capabilities to interfaces while maintaining backwards compatibility. The date/time API improves on the old Calendar and Date APIs by providing immutable and easier to use classes like LocalDate.
Introduction of Java 8 with emphasis on Lambda Expressions and StreamsEmiel Paasschens
Lambda expressions and streams are major new features in Java 8. Lambda expressions allow treating functionality as a method argument or variable. Streams provide a new way to process collections of objects in a declarative way using intermediate and terminal operations. The document provides examples of lambda expressions, method references, functional interfaces, default methods on interfaces, and stream operations like filter, map, and reduce.
In this Meetup Victor Perepelitsky - R&D Technical Leader at LivePerson leading the 'Real Time Event Processing Platform' team , will talk about Java 8', 'Stream API', 'Lambda', and 'Method reference'.
Victor will clarify what functional programming is and how can you use java 8 in order to create better software.
Victor will also cover some pain points that Java 8 did not solve regarding functionality and see how you can work around it.
This document discusses different types of functions in C programming. It defines library functions, user-defined functions, and the key elements of functions like prototypes, arguments, parameters, return values. It categorizes functions based on whether they have arguments and return values. The document also explains how functions are called, either by value where changes are not reflected back or by reference where the original values are changed.
Actor based approach in practice for Swift developersBartosz Polaczyk
Actor based programming is an alternative way to write your code in a way it is by design asynchronous-friendly to write and test. Proposed in 70's, recently receives more and more popularity in many different programming areas.
If you ever heard about actors but wasn't sure about benefit of using it in iOS apps, this presentation is for you! I will guide you through main concepts and demonstrate practical approach to implement it in Swift.
The document discusses user defined functions in C. It explains that functions allow programmers to break programs into modular, reusable chunks of code. It covers the basics of defining functions, including function headers, parameters, return types, and calling functions. Examples are provided to illustrate defining and calling simple functions.
Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Siteimprove internal TechTalk.
Discussing what Accessible Names mean in a web context and how to add good Accessible Names through code and copywriting.
Cover Basic concept for Functional Programming in Java. Define new functional interfaces, lambda expressions, how to translate lambda expression, JVM deal with new byte code etc. This is not the perfect slides for functional programming, but trying cover simple basic functional programming.
The document discusses functions in C programming. It defines a function as a self-contained block of code that performs a specific task. Functions make code more modular and reusable. There are two types of functions: standard/library functions and user-defined functions. Functions can take input parameters and return values. Functions are an essential part of program structure in C as they help organize code and logic.
The document discusses new features introduced in Java 8, including allowing static and default methods in interfaces, lambda expressions, and the Stream API. Key points include: interfaces can now contain static and default methods; lambda expressions provide a concise way to implement functional interfaces and allow passing code as a method argument; and the Stream API allows operations on sequences of data through intermediate and terminal operations.
Functions and types of user defined functions inRAMYASREEKUPPALA
MATLAB Programming
as it is known that functions is most important concept in any programming language.here in this slide i have mentioned about what is function in MATLAB and how they are classified and different kinds of user defined functions along with their examples.
This document provides an agenda for a Java 8 training session that covers Lambdas and functional interfaces, the Stream API, default and static methods in interfaces, Optional, the new Date/Time API, and Nashorn JavaScript engine. It includes sections on Lambda expressions and method references syntax, functional interfaces, built-in functional interfaces, streams versus collections, using Optional to avoid null checks, extending interfaces with default methods, and key concepts of the new Date/Time and Nashorn JavaScript APIs.
SociaLite: High-level Query Language for Big Data AnalysisDataWorks Summit
This document describes SociaLite, a high-level query language for analyzing big data. SociaLite compiles queries to distributed code for efficient execution. It supports distributed tables, rules, and Python integration. SociaLite can be used for graph analysis, data mining, and relational queries. It provides built-in algorithms like shortest paths, PageRank, k-means clustering, and logistic regression. Evaluation shows SociaLite achieves 1000x speedup over Hadoop and scales to large clusters with near-linear speedup.
The is the RFC for AvocadoDB's query language. AvocadoDB is an open source nosql database (see www.avocadodb.org) offering a mixture of data models like key value pairs, documents and graphs.
The REST API for AvocadoDB is already available and stable and people are writing APIs using it. Awesome. As AvocacoDB offers more complex data structures like graphs and lists REST is not enough. We implemented a first version of a query language some time ago which is very similar to SQL and UNQL.
Then we realized that this approach was not completely satisfying as some queries cannot expressed very well with it, especially multi-valued attributes/lists. UNQL addresses this partly, but does not go far enough. Another issue are graphs. AvocadoDB supports querying graphs, neither SQL nor UNQL offer any "natural" graph traversal facilities.
As we did not find any existing query language that addresses the problems we found we had to define a new query language which is presented in the presentation.
Have some feedback on this? Come to www.avocadodb.org and tell us what you think about it. :-)
This document discusses a project to develop a machine learning model to predict flight delays. The goals are to optimize flight operations, reduce economic losses for airlines, and lessen inconveniences for passengers. The project will use attributes like origin airport, destination airport, flight number, airline, date, and weather to predict whether a flight will be delayed by 15 minutes or more. If successful, the model could be used in smartphone apps to help travelers plan layovers or help airlines understand crowded airports and determine efficient routes.
This document presents a model for predicting flight delays. It analyzes flight delay data from 2013-2016 to develop classification algorithms like K-Nearest Neighbors, Weighted K-Nearest Neighbors, Decision Trees (CART and C4.5). The KNN algorithm provided the best results with 86% accuracy. Popular routes with most delays from 2015-2016 are identified. Future work could improve accuracy by including weather and operational factors. The model can help airlines optimize routes and operations to reduce delays and losses, and help passengers plan travel.
Airline flights delay prediction- 2014 Spring Data Mining ProjectHaozhe Wang
This document discusses building a model to predict flight delays using historical flight data. It covers the business problem of flight delays costing airlines and passengers billions annually. The literature review finds that delays cost airlines on average $11,300 per flight. The document then describes understanding a dataset on flight delays, preparing the data by selecting and deriving attributes, and modeling using naive Bayes and decision tree algorithms. The best performing model is a J48 decision tree with a ROC area of 0.85, which could help airlines identify factors contributing to delays and optimize operations.
Big data is being used to predict weather patterns and avoid flight delays related to weather. Researchers at the University of Michigan gathered over 10 years of hourly weather observations and flight data, applying advanced analytics to identify patterns. This allows airlines to anticipate delays from storms and offer alternatives to passengers earlier. The system classifies weather data to predict future conditions and minimize impacts to travel.
Data Mining & Analytics for U.S. Airlines On-Time Performance Mingxuan Li
The document analyzes on-time performance data of U.S. airlines from 2008 using various data mining techniques. It describes the dataset, which contains over 1.5 million records of airline flights with 17 variables. It then preprocesses the data, analyzes the variables, and applies methods like association rules, cluster analysis, decision trees, random forests, and classification to identify factors that influence flight delays.
This document discusses functions in R programming. It defines a function as a set of statements organized to perform a specific task. R has many built-in functions as well as user-defined functions. A function in R is created using the 'function' keyword and contains a name, arguments, body, and return value. Built-in functions like seq(), mean(), and max() are directly called, while user-defined functions are specific to what the user wants. Functions are called by supplying valid arguments and can have default values. Arguments are evaluated lazily. Recursive functions call themselves and are used for techniques like dynamic programming.
This document provides an introduction and overview of LINQ (Language Integrated Query). It discusses that LINQ allows developers to query data from different sources using a SQL-like syntax directly in .NET code. It also summarizes the key LINQ concepts like data sources, query operators, LINQ providers for different data types, and IDE support for LINQ in Visual Studio.
This document provides an overview of functions in C programming. It defines a function as a block of code that performs a specific task and can be called multiple times. The key points covered are:
- Functions allow programs to be divided into smaller, reusable tasks.
- Functions may return data to the calling function and accept arguments to operate on.
- Function prototypes provide the compiler with function signatures before they are defined.
- Function definitions implement the code bodies with the same return type and arguments as the prototype.
- Functions can be called by value, where arguments are copied, or by reference, where addresses are passed.
The document discusses user-defined functions in C programming. It covers topics like function declaration, definition, parameters, return values, function calls, categories of functions, recursion, scope and storage classes of variables in functions. Specifically, it defines a function, explains the need for user-defined functions, and describes the elements and different types of functions.
This document discusses functions in C programming. It defines functions as a group of statements that perform a specific task and have a name. Main functions must be included in every C program as it is where program execution begins. Functions help facilitate modular programming by dividing programs into smaller parts. Functions can be user-defined or built-in library functions. Parameters can be passed to functions by value or by reference. Functions can call themselves through recursion. Variables have different storage classes like auto, register, static, and external that determine scope and lifetime.
The document introduces functions in C programming. It discusses defining and calling library functions and user-defined functions, passing arguments to functions, returning values from functions, and writing recursive functions. Functions allow breaking programs into modular and reusable units of code. Library functions perform common tasks like input/output and math operations. User-defined functions are created to perform specific tasks. Information is passed between functions via arguments and return values.
Y. N. D. Aravind presents on functions in C programming. The presentation covers:
- The objectives of functions, parameters, arrays, and recursion.
- The definition of a function as reusable block of code that performs a specific task.
- The four categories of functions based on arguments and return values.
- Passing arguments to functions by value (copying) versus by reference (address).
The document discusses different types of functions in C programming. It begins by explaining what functions are and their basic components like function name, arguments, return type, etc. It then describes the four categories of functions:
1) Functions with no arguments and no return values
2) Functions with arguments but no return values
3) Functions with arguments and return values
4) Functions with no arguments but return values
Examples of each category are provided to illustrate how they work. The document also covers other topics like library functions, user-defined functions, and differences between local and global variables.
This document covers lecture 3 of a computer programming course. The lecture objectives are to understand why programmers use functions, how to define functions in Python, function calls and parameter passing. The document explains what functions are, benefits of using functions like simpler code, code reuse and better testing. It provides examples of defining functions, calling functions, using local variables within functions and passing arguments to functions. Exercises are included to demonstrate these concepts.
This document discusses objects and classes in Java. It defines a class as defining the properties and behaviors of objects. An object represents a real-world entity with a unique identity, state, and behavior. The document discusses declaring objects using the new keyword, defining and calling methods in classes, arrays of objects, constructors, the this keyword, and static members. It provides examples of defining classes, declaring objects, defining methods with and without return values, and passing objects as parameters.
The document discusses object-oriented programming concepts like classes, objects, encapsulation, and access modifiers. It provides examples of constructors, destructors, and copy constructors in C# and explains how they are used to initialize and cleanup class instances. It also discusses friend functions and how they allow non-member functions to access private and protected members of a class.
This document provides an overview of functional JavaScript concepts including: type system, primitive values, objects, inheritance, functions, closures, pure functions, higher order functions, composition, currying/partial application, and functional techniques like filter, map and reduce. It recommends resources for learning more about functional programming in JavaScript like libraries, books, and workshops.
The document defines and explains different types of functions in Python. It discusses defining functions, calling functions, passing arguments by reference versus value, writing functions using different approaches like anonymous functions and recursive functions. Some key points covered include: defining a function uses the def keyword followed by the function name and parameters; functions can be called by their name with arguments; arguments are passed by reference for mutable objects and by value for immutable objects; anonymous functions are defined using the lambda keyword and return a single expression; recursive functions call themselves to break down problems into sub-problems until a base case is reached.
This document discusses modular programming in C, specifically functions and parameters. It defines functions as blocks of code that perform specific tasks. Functions have components like declarations, definitions, parameters, return values, and scope. Parameters can be passed into functions and different storage classes like auto, static, and extern determine variable lifetime and scope. Functions are useful for code reusability and modularity.
The document discusses user-defined functions in C. It defines a user-defined function as a programmed routine with parameters set by the user. It covers the parts of a function including prototypes, calls, and definitions. It discusses passing parameters by value and reference. It also discusses local and global variables, recursion, and the advantages of user-defined functions in C.
This document discusses an automatic code generation tool called UJECTOR that can generate executable Java code from UML diagrams, including class diagrams, sequence diagrams, and activity diagrams. It notes the benefits of automatic code generation in reducing errors compared to manual coding. The paper also discusses some related work, including Enterprise Architect, Eclipse UML Generators, Rhapsody, and dCode - other tools that can generate code from UML models. Overall, the document examines challenges in ensuring consistency, accuracy, maintainability and efficiency when automatically generating code from UML models.
This document discusses writing your own functions in Python. It begins by explaining that functions allow you to make code reusable and simplify programs. Functions take arguments, perform operations, and can return values. The document then provides examples of defining, calling, and returning values from functions. It highlights important aspects of functions like arguments, return statements, and scope.
This document describes DeepAPI, a deep learning model that uses an RNN encoder-decoder architecture to generate API usage sequences from natural language queries. It trains on a large corpus of code snippets paired with their documentation comments. DeepAPI is shown to outperform traditional IR approaches by better understanding query semantics and word order. Automatic and human evaluations demonstrate its ability to generate accurate and relevant API sequences for a variety of queries. Parameters like hidden units and word dimensions are analyzed. Enhancements like weighting APIs by importance further improve performance. DeepAPI has applications beyond code search like synthesis of sample code from query understanding.
This is a step by step slides to study JSP, all the concepts which are required for a JSP are present in this ppt. The whole JSP is divided into SESSIONS.
Similar to Api specification based function search engine using natural language query-Seminar Conducted by me (20)
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
2. Overview
Understanding the terms.
Objectives.
In detail
o Keyword Retrieval
o Variable Retrieval
o API Specification Mining
o Function Retrieval
o Code Generation
Experiment
Conclusion
References
3. API Specification-Based Function Search Engine
Using Natural Language Query
API – Application Programming Interface.
An API is a set of commands, functions, and protocols which programmers can use when
building software for a specific operating system
APIs are usually Implemented as Header Files.
EX:
o Java APIs
o ODBC for Microsoft Windows
4. API Specification-Based Function Search Engine
Using Natural Language Query
Description about the classes and methods inside the API.
Each method(or function) and its uses are briefly described in the API Specifications.
5. API Specification-Based Function Search Engine
Using Natural Language Query
Function search engine is nothing but as the name suggests a search engine for all the
methods in the API.
6. API Specification-Based Function Search Engine
Using Natural Language Query
Natural Language Query is a query that uses a complete sentence or question to
begin a search.
Ex:
o “What is the capital of India?”
o “How to make pizza?”
7. API Specification-Based Function Search Engine
Using Natural Language Query
Means a search engine to search all the functions/methods in an Application
programming interface(API) using simple queries.
Additionally this paper also suggests a means of generating automatic function calls
based on the search.
8. Programmers nearly always use existing functions while developing their applications.
The functions have grown more numerous and more diverse.
The Problem is that ‘what functions they want’ and know ‘how to
call those functions?’.
The Solution:-
o This paper present two novel approaches to address these problems.
o The first is the approach to find right functions based on the API specification.
o The second is approach to automatically generate code for “function call”
9. There are two main objectives in this paper:
o Retrieving functions, and
o Generating code for function calls.
Two different forms of queries corresponding to these objectives.
o The first is “function search query” which requests to look for functions.
o The second is “function call query” which requests to generate code for function
calls.
10. Code
Generation
Variable
Retrieval
Function
Description
API
Document
Fig:Function Search Model
Function
Search Query
Keyword
Retrieval
Mining
Function
Retrieval
Function retrieval is the process of finding suitable
functions by matching “the extracted keywords from
a function search query” to “descriptions of
functions in the API specification”.
Keyword retrieval is the process of extracting
keywords from a function search query
Mining is the process of extracting contents in the
API specification to support function retrieval
Function Call
Query
Function
Call
Variable retrieval is the process of extracting
Variables from a function call query
Code generation is the process of generating code
for a function call based on both the variables
extracted from function call query.
11. There are several methods to identify keywords in a natural
language sequence.
Some methods identify keyword as a simple word, while others identify a keyword
phrase.
In this paper Introducing four technologies of natural language processing to extract
keywords.
-POS tagging, POS filtering, Stemming, Synonym generation.
12. Word/POS
POS
Filter
POS tagging (part-ofspeech tagging) is the
technology to mark up a word in a natural language
sentence (NL Sentence).
Fig Keyword Retrieval Process
NL Sentence POS
Tagging
Stemming
keywordsSynonym
Generation
Main
Word
Original
Word
POS filtering is the technology to remove stopwords
such as prepositions, pronouns, conjunctions, and
interjections.
Stemming is the technology to reduce inflected (or
sometimes derived) words to their root form.
(Ex: ‘return’ is the root form of words “returns,
returning, returned”.
Synonym generation is the technology
to identify synonyms of the retrieved keywords
13. For the natural language query “Gets an element in the collection”. The followings are
results obtained in the above stages.
o POS Tagging: Gets/VB an/DT element/NN in/IN the/DF collection/NN.
o POS Filtering: Gets element collection.
o Stemming: Get element collection.
o Synonym Generation: Get-have/return
element-object/component
collection-list/set.
NOTE:
VB-Verb
DT-Determiner
NN-Noun
IN-Preposition
DF-Adjective
14. Two kinds of objects in a function call query:
-Words and Variables.
Many words related to each variable in the query.
Also each word in the query is only relevant to one(or zero) variable.
words, which are relevant to a variable, is called features of this variable.
15. Every relation between words and variable is represented by a “variable retrieval rule”
derived from a corresponding syntactic rule.
Ex:Some variable retrieval rules
o Root(sf V ) -> V B(wf W)NP(sf V )
o NP(sf fv1; v2g) -> NP(vf v1)PP(vf v2)
o NP(sf V [ fvg) -> NP(sf V )PP(vf v)
o NP(sf V1 [ V2) -> NP(sf V1)PP(sf V2)
o PP(vf v[W1 W2]) -> IN(wf W1)NP(wf v[W2])
o PP(sf V ) -> IN(wf W)NP(sf V )
o NP(wf W1 W2) -> NN(wf W1)NN(wf W2)
o NP(vf v[W1 W2]) -> NN(wf W1)NN(vf v[W2])
o NP(vf v[W1 W2 W3]) ->DT(wf W1)
V BN(wf W2)
NN(vf v[W3])
16. In figure 3, a query in natural
language (“Insert element e in a set
at index k”) is parsed in a tree
structure by using Stanford-Parser
tool.
The last result is:
o e[element];
o a[a set];
o k[at index];
Fig. 3: Parsing tree for
the function call query
17. This subsection focuses on mining the API specification of Java ,called Java API
specification.
In the Java API specification, there are many contents related to function which may be
mined to support the function retrieval process and the code generation process.
They are:-
o function specification
o functionality description
o parameter features
18. Function specification: is a structured data that describes the usage of function.
information, which can be extracted from this content, is:Function name, function scope,
return type, a list of parameters,and so on…
Functionality description: is an unstructured data in the form of natural language that
describes the functionality of the function.
To extract information in this content, the keyword retrieval method (presented in
previous slide) is used.
Parameter features: is an unstructured data in the form of natural language that
describes
features of the parameters in the function specification.
The necessary information in this content are extracted by usingnatural language
processing technologies.
19. Example:
The function add() is described in the Java API specification ArrayList as follows.
Function specification: public void add(int index,Object element).
Functionality description: “Inserts the specified element at the specifiedposition in this
list”.
Parameter features: “index - index at which the specified element is to be inserted” and
“element - element to be inserted”.
20. There are three stages in the process of retrieving function.
Stage 1: extracting the functions related to user’s query based on some constraints.
Stage 2: refining the obtained result in the previous stage by removing some irrelevant
functions.
Stage 3: ranking the collected relevant functions in descending order of appropriate
degree of query.
21. The standard syntax of a function call statement is object.callName(arg1, arg2,…., argk)
To generate code for a function call, we map user’s query to the corresponding function
call based on its function definition.
Two Steps:
i. identifying certain variable vj as the object o , and
ii. mapping the remaining variables to the corresponding arguments arg1, arg2, argk
22. In the first Step , the function retrieval method is used to identify a set of functions
related to user’s query.
However, to use this method, the “function call query” need to be transferred to the
“function search query” by removing all variables in this query.
The variable, whose type contains at least one function related to the new query, is the
desired object o
In the second step all Other variables are set as parameters.
For example, give the query “inserts an element <e:Object> in a collection <a:ArrayList>”,
the variable a with type ArrayList contains the function add related to the new query
“inserts an element in a collection”, so a:add(?) is a suitable function call.
23. A. User Study
In the first user study, ten common search tasks are designed and assigned them to the
participants.
Then, each participant used FSE and some other search engines to complete these tasks.
Three search engines are given to users for study: FSE, Krugle, Koder.
24. In the second user study, the participants suggested over 100 requests that generate
code for function call.
Then, they checked degree of fitness between obtained results and their requests to
calculate accuracy for FSE.
There are four degrees of fitness: Highly Relevant, Somewhat Relevant, Somewhat
Irrelevant, Highly Irrelevant.
Hightly Relevant- The top result in the set of the returned solutions is absolutely fit with
user’s request.
Somewhat Relevant- The desired result in result set was not in the first position.
Somewhat Irrelevant- If it contains the function with correct name but wrong
parameters.
Highly Irrelevant- The lowest level.
26. B. Results
In this figure
92% -correct functions that were
relevant to user’s request.
71% -correct function in the first
position of solution set.
7% -did not find any proper
function.
27. Efficient function search approach by using the API specification is proposed in this
paper
Also presented a novel function call generation method that generates source code to
invoke the functions based on variable features extracted from user’s query.
Finally, we have implemented FSE, a function search engine that helps programmers to
quickly examine different functions that might be appropriate for a problem, obtain
more information about particular functions, and automatically generate code for
function calls to know how to use a function.
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