The document discusses value semantics vs reference semantics in Swift. It explains that value types (structs, enums, tuples) use value semantics where copies are made, while reference types (classes) use reference semantics where copies of references are made but the instances are shared. It provides examples to illustrate how value types stored on the stack are copied, while reference types stored on the heap are referenced. The document also covers topics like identity vs equality, mutability, reference counting, and static vs dynamic method dispatch in Swift.
The document describes a Die class that simulates rolling a 6-sided die. The Die class defines methods for initializing the die, getting the face value, and rolling the die using a random number generator. Code is provided that instantiates a Die object, rolls it 10,000 times, collects the results in a list, and calculates statistics on the results. It is noted that to simulate a 10-sided die instead of a 6-sided die, the only change needed is to change the 6 to a 10 in the randint method.
This document summarizes a talk on using the Scalaz library. It introduces key Scalaz concepts like typeclasses, monoids, and validation. Typeclasses allow uniform implementation of common patterns across types. Monoids represent structures with an associative binary operation and an identity. Validation provides an applicative way to represent failure without exceptions. The document gives examples of using these concepts to represent positions, filters, and compose validations.
$ The document discusses prioritization strategies for industrial automation projects.
$ It outlines three main strategies: prioritizing projects with the highest return on investment, addressing the most critical issues first, or completing easier projects to build momentum.
$ The document recommends a hybrid approach that balances these factors to optimize resource allocation and project completion.
The Vanishing Pattern: from iterators to generators in PythonOSCON Byrum
This document discusses iterators and generators in Python. It begins with an example using Django queries to demonstrate laziness. It then explains that QuerySets are lazy and do not perform database access until their results are iterated over. The document discusses how for loops handle iteration in different languages like C, Python, Java. It defines what makes an object iterable in Python and covers built-in iterable types and functions. It also discusses iterator design patterns and how Python implements iteration through protocols like sequences that require methods like __len__ and __getitem__.
This document discusses writing a domain specific language (DSL) for data transformations using applicative functors in Scala. It introduces the concepts of Picker, Reader, and Result to parse heterogeneous data formats into a common format. Reader is defined as an applicative functor to allow combining multiple readers. Later, Reader is enhanced to take type parameters for both input and output to avoid reparsing data and support XML parsing. Type lambdas are used to make Reader work as an applicative functor.
This document provides information about Dev-C++ and basic C programming constructs:
1) It describes how to create a new source file in Dev-C++ and discusses basic data types in C like int, char, float, etc.
2) It explains common programming constructs in C like variables, constants, comments, arithmetic operators, relational operators and logical operators.
3) It demonstrates the use of basic flow control structures like if, if-else, while, do-while and for loops to control program flow. Examples are provided for each construct.
Introducing Monads and State Monad at PSUGDavid Galichet
This document discusses using the State monad to model a game where two robots move on a playground according to instructions, gathering coins. It first introduces functors, monads and for comprehensions in Scala. It then models the game state as a playground containing robots with positions and scores. The robots evolve by processing instructions in a state monad, allowing functional, pure modeling of state changes. Processing all instructions results in a state monad that can be run with the initial playground state.
1. The document contains details of Pranav Ghildiyal, a class XII student. It includes a table of contents listing 24 programs with page numbers.
2. The programs cover concepts like arrays, structures, classes, inheritance, file handling, stacks, queues and more. Algorithms covered include sorting, searching and linked lists.
3. The document serves as an index for various C++ programs written by the student to demonstrate different concepts and data structures.
The document describes a Die class that simulates rolling a 6-sided die. The Die class defines methods for initializing the die, getting the face value, and rolling the die using a random number generator. Code is provided that instantiates a Die object, rolls it 10,000 times, collects the results in a list, and calculates statistics on the results. It is noted that to simulate a 10-sided die instead of a 6-sided die, the only change needed is to change the 6 to a 10 in the randint method.
This document summarizes a talk on using the Scalaz library. It introduces key Scalaz concepts like typeclasses, monoids, and validation. Typeclasses allow uniform implementation of common patterns across types. Monoids represent structures with an associative binary operation and an identity. Validation provides an applicative way to represent failure without exceptions. The document gives examples of using these concepts to represent positions, filters, and compose validations.
$ The document discusses prioritization strategies for industrial automation projects.
$ It outlines three main strategies: prioritizing projects with the highest return on investment, addressing the most critical issues first, or completing easier projects to build momentum.
$ The document recommends a hybrid approach that balances these factors to optimize resource allocation and project completion.
The Vanishing Pattern: from iterators to generators in PythonOSCON Byrum
This document discusses iterators and generators in Python. It begins with an example using Django queries to demonstrate laziness. It then explains that QuerySets are lazy and do not perform database access until their results are iterated over. The document discusses how for loops handle iteration in different languages like C, Python, Java. It defines what makes an object iterable in Python and covers built-in iterable types and functions. It also discusses iterator design patterns and how Python implements iteration through protocols like sequences that require methods like __len__ and __getitem__.
This document discusses writing a domain specific language (DSL) for data transformations using applicative functors in Scala. It introduces the concepts of Picker, Reader, and Result to parse heterogeneous data formats into a common format. Reader is defined as an applicative functor to allow combining multiple readers. Later, Reader is enhanced to take type parameters for both input and output to avoid reparsing data and support XML parsing. Type lambdas are used to make Reader work as an applicative functor.
This document provides information about Dev-C++ and basic C programming constructs:
1) It describes how to create a new source file in Dev-C++ and discusses basic data types in C like int, char, float, etc.
2) It explains common programming constructs in C like variables, constants, comments, arithmetic operators, relational operators and logical operators.
3) It demonstrates the use of basic flow control structures like if, if-else, while, do-while and for loops to control program flow. Examples are provided for each construct.
Introducing Monads and State Monad at PSUGDavid Galichet
This document discusses using the State monad to model a game where two robots move on a playground according to instructions, gathering coins. It first introduces functors, monads and for comprehensions in Scala. It then models the game state as a playground containing robots with positions and scores. The robots evolve by processing instructions in a state monad, allowing functional, pure modeling of state changes. Processing all instructions results in a state monad that can be run with the initial playground state.
1. The document contains details of Pranav Ghildiyal, a class XII student. It includes a table of contents listing 24 programs with page numbers.
2. The programs cover concepts like arrays, structures, classes, inheritance, file handling, stacks, queues and more. Algorithms covered include sorting, searching and linked lists.
3. The document serves as an index for various C++ programs written by the student to demonstrate different concepts and data structures.
An array is a collection of variables of the same data type stored in contiguous memory locations. There are two types of arrays: single dimensional and multi-dimensional arrays. A single dimensional array stores elements in adjacent memory locations. Multi-dimensional arrays can store arrays of arrays. Two dimensional arrays are commonly used to represent matrices. Arrays allow traversing, searching, and initializing elements. Functions can accept arrays as arguments which are treated as pointers to the first element.
This document defines functions for handling iframe onload events and summarizing objects. It includes functions for setting iframe onload handlers, updating iframe URLs, and summarizing objects by extracting and formatting their key-value pairs.
The document discusses various looping constructs in Swift including for-in loops, while loops, and repeat-while loops. It provides syntax examples and sample outputs for each type of loop. It also covers strings, arrays, and dictionaries in Swift, describing how to create, access, modify and iterate over each.
AspectJ is a technology that allows programmers to modularize crosscutting concerns in Java programs using aspects. Aspects define pointcuts that match certain join points in the execution of a program, and advice that specifies actions to take at those join points. Pointcuts, advice, and aspects provide a way to implement crosscutting functionality separately from the core program logic.
This document discusses input and output formatting in C using printf and scanf. It covers:
1. Streams for input and output and standard streams like stdin and stdout.
2. Formatting output with printf using conversion specifiers for integers, floats, strings, and other data types as well as flags, field widths, and precision.
3. Formatting input with scanf using similar conversion specifiers and capabilities to read various data types from input.
The document defines a Timeline struct that conforms to a DataType protocol. The Timeline struct stores an array of Tweet objects and provides methods to insert, delete, and retrieve Tweets from the array. The DataType protocol defines requirements for a type that manages an array of items including methods to insert, delete, and access items.
The document describes how to create an interactive visualization showing subway lines and median household income data on a map of New York City. It involves loading data from Google sheets, creating scales and axes, drawing the subway lines and income data as paths on a map, and adding interactivity through hovering and clicking on points. Key elements include filtering the data by subway line, drawing the corresponding path on the chart and highlighting the matching line on the map, and aggregating data by borough to add labeled regions to the chart.
Scalaz 8 is the latest edition of the popular functional programming library for Scala. In this whirlwind tour, maintainer John A. De Goes discusses some of the hottest features of Scalaz 8, including all of the following:
* A fast, concurrent, and leak-free effect system, which has small, composable, and powerful primitives for building practical, real-world software;
* A non-linear type class hierarchy, which permits a more powerful hierarchy that infers well without devastating ambiguous implicit errors;
* A new encoding for abstractions in category theory that providers higher fidelity and enables new categories of useful software to be developed;
* A Scala 2.12 encoding of opaque types that powers improved performance and better developer UX.
In this tour, you’ll see how the design of Scalaz 8 was inspired by a desire to provide Scala developers with a principled, performant, and pragmatic library that never sacrifices the safety and equational reasoning properties of functional programming. You’ll see live code snippets that show you how solving complex real world problems is simpler, faster, safer, and more reasonable than in previous versions of Scalaz. And hopefully you’ll be inspired at just how far functional programming in Scala has come in the past decade.
This document provides an overview of database concepts including Oracle database tools. It discusses database definitions, the Oracle tools like SQL, PL/SQL, forms and reports. It also covers database objects like tables, constraints, and relationships. Examples are provided for SQL commands, functions, and joins. Key topics include data definition and manipulation languages, data types, constraints, and how to create users and grant privileges.
The document discusses land use planning and regulations in 3 paragraphs:
1) It introduces zoning as a tool used by municipalities to regulate land use types in designated areas and describes common zoning designations like residential, commercial, and industrial districts.
2) It explains that comprehensive land use plans guide long-term development and ensure orderly growth through zoning that balances different uses.
3) Regulations aim to protect property values and community character, resolving conflicts between competing land uses through separation into compatible districts.
Why you should use super() though it sucksEunchong Yu
Python Korea FB Group Seminar 2013 Jan. http://onoffmix.com/event/11742
Speaker Deck: https://speakerdeck.com/kroisse/why-you-should-use-super-though-it-sucks
Google docs: https://docs.google.com/presentation/d/1NaDrIReaKD8qJhkTfyDEnt_FMReVR6aHbZ7RJVBhKf8/pub
The document describes a TimelineTableViewController class that is responsible for displaying a timeline. It initializes a TimelinePresenter when loaded, which handles fetching the timeline data and notifying the view controller. The presenter calls a TimelineUseCase to retrieve the timeline and then uses the view controller as an output to update the UI, such as showing/hiding empty and ad views depending on the timeline contents.
A pointer is a variable that stores the address of another variable. Pointers allow variables to reference memory locations and access the values stored there. An array is a collection of variables of the same type stored contiguously in memory. Strings in C are arrays of characters terminated by a null character. Pointers can also be used to point to strings by storing the base address of the character array. Multidimensional arrays and manipulating strings are also discussed.
The X-Ray Engine is a game engine, used in the S.T.A.L.K.E.R. game series. Its code was made public in September 16 2014, and since then, STALKER fans continue its development. A large project size, and a huge number of bugs in the games, gives us a wonderful chance to show what PVS-Studio is capable of.
C programming uses basic elements like expressions, statements, blocks and functions. Expressions combine constants, variables and operators, while statements end with semicolons. A block of statements is treated as a single statement. Standard library functions include printf(), exit() and scanf(). Control structures like if-else, switch, for, while and do-while statements are used for decision making and looping.
The composite pattern allows objects to be composed into tree structures to represent part-whole hierarchies. It allows clients to treat individual objects and compositions uniformly. The example shows how shapes like lines and rectangles can be composed into pictures. Individual shapes are leaf classes while pictures are composite classes that can group shapes together and be treated the same way as individual shapes by clients.
When I first started out with D3.js 2 years ago, I built things the same way, customising examples and although worked, I was never proud of my code. The chaining of methods makes the graphs concise, but costs a lot in cognitive overload and maintainability. Building this way is painful to modify, reuse or even to understand once you sit back down after lunch!
I had a huge revelation when I discovered the Reusable API (a modular structure to create and reuse d3 elements) and my code was elevated to even higher levels with Test Driven Development.
In this session I'll walk you through my journey toward beautiful, maintainable D3 graphs with step by step examples of refactoring crufty code to be shiny and new and testable.
By the end of the talk you too will know how to build decoupled, composable, encapsulated and consistent D3 graphs and be proud of your code again!
The C++ rvalue lifetime disaster. Arno Schödl ➠ CoreHard Autumn 2019corehard_by
Rvalue references have been with us since C++11. They have originally been introduced to make moving objects more efficient: the object an rvalue reference references is assumed to go out of scope soon and thus may have its resources scavenged without harm. The C++ standard library, for example std::cref or std::ranges, makes use of yet another aspect of rvalue references: since they go out of scope soon, it is assumed unsafe to hold on to them beyond the scope of the current function, while lvalue references are considered safe. We, too, found this assumption to be very useful for smart memory management, in particular in generic code. Unfortunately, the C++ language itself violates this assumption in at least two places. First, rvalues bind to const&. This means that innocent-looking functions taking a parameter by const& and passing it through in some way silently convert rvalues to lvalue references, hiding any lifetime limitation of the rvalues. std::min/max are two such examples. Worse still, every accessor member function returning a const& to a member suffers from this problem. Second, temporary lifetime extension is meant to make binding a temporary to a reference safe by extending the lifetime of the temporary. But this only works as long as the temporary is still a prvalue. If the temporary has been passed through a function, even it has been correctly passed through by rvalue reference, lifetime extension will no longer be invoked and we get a dangling reference. These problems are not merely theoretical. We have had hard-to-find memory corruption in our code because of these problems. In this talk, I will describe the problems in detail, present our library-only approach to mitigate the problems, and finally, make an impossible-to-ever-get-into-the-standard proposal of how to put things right.
1.5.recommending music with apache spark mlleorick lin
This document describes recommending music using Apache Spark ML. It discusses preparing datasets from files, constructing a pipeline using ALS (Alternating Least Squares) for recommendation, evaluating models on test data, and tuning hyperparameters. Key steps include random splitting data, training ALS with a grid of parameters, evaluating models on test data, and further tuning parameters to improve RMSE. The appendix discusses using CrossValidator for hyperparameter tuning instead of a grid search.
An array is a collection of variables of the same data type stored in contiguous memory locations. There are two types of arrays: single dimensional and multi-dimensional arrays. A single dimensional array stores elements in adjacent memory locations. Multi-dimensional arrays can store arrays of arrays. Two dimensional arrays are commonly used to represent matrices. Arrays allow traversing, searching, and initializing elements. Functions can accept arrays as arguments which are treated as pointers to the first element.
This document defines functions for handling iframe onload events and summarizing objects. It includes functions for setting iframe onload handlers, updating iframe URLs, and summarizing objects by extracting and formatting their key-value pairs.
The document discusses various looping constructs in Swift including for-in loops, while loops, and repeat-while loops. It provides syntax examples and sample outputs for each type of loop. It also covers strings, arrays, and dictionaries in Swift, describing how to create, access, modify and iterate over each.
AspectJ is a technology that allows programmers to modularize crosscutting concerns in Java programs using aspects. Aspects define pointcuts that match certain join points in the execution of a program, and advice that specifies actions to take at those join points. Pointcuts, advice, and aspects provide a way to implement crosscutting functionality separately from the core program logic.
This document discusses input and output formatting in C using printf and scanf. It covers:
1. Streams for input and output and standard streams like stdin and stdout.
2. Formatting output with printf using conversion specifiers for integers, floats, strings, and other data types as well as flags, field widths, and precision.
3. Formatting input with scanf using similar conversion specifiers and capabilities to read various data types from input.
The document defines a Timeline struct that conforms to a DataType protocol. The Timeline struct stores an array of Tweet objects and provides methods to insert, delete, and retrieve Tweets from the array. The DataType protocol defines requirements for a type that manages an array of items including methods to insert, delete, and access items.
The document describes how to create an interactive visualization showing subway lines and median household income data on a map of New York City. It involves loading data from Google sheets, creating scales and axes, drawing the subway lines and income data as paths on a map, and adding interactivity through hovering and clicking on points. Key elements include filtering the data by subway line, drawing the corresponding path on the chart and highlighting the matching line on the map, and aggregating data by borough to add labeled regions to the chart.
Scalaz 8 is the latest edition of the popular functional programming library for Scala. In this whirlwind tour, maintainer John A. De Goes discusses some of the hottest features of Scalaz 8, including all of the following:
* A fast, concurrent, and leak-free effect system, which has small, composable, and powerful primitives for building practical, real-world software;
* A non-linear type class hierarchy, which permits a more powerful hierarchy that infers well without devastating ambiguous implicit errors;
* A new encoding for abstractions in category theory that providers higher fidelity and enables new categories of useful software to be developed;
* A Scala 2.12 encoding of opaque types that powers improved performance and better developer UX.
In this tour, you’ll see how the design of Scalaz 8 was inspired by a desire to provide Scala developers with a principled, performant, and pragmatic library that never sacrifices the safety and equational reasoning properties of functional programming. You’ll see live code snippets that show you how solving complex real world problems is simpler, faster, safer, and more reasonable than in previous versions of Scalaz. And hopefully you’ll be inspired at just how far functional programming in Scala has come in the past decade.
This document provides an overview of database concepts including Oracle database tools. It discusses database definitions, the Oracle tools like SQL, PL/SQL, forms and reports. It also covers database objects like tables, constraints, and relationships. Examples are provided for SQL commands, functions, and joins. Key topics include data definition and manipulation languages, data types, constraints, and how to create users and grant privileges.
The document discusses land use planning and regulations in 3 paragraphs:
1) It introduces zoning as a tool used by municipalities to regulate land use types in designated areas and describes common zoning designations like residential, commercial, and industrial districts.
2) It explains that comprehensive land use plans guide long-term development and ensure orderly growth through zoning that balances different uses.
3) Regulations aim to protect property values and community character, resolving conflicts between competing land uses through separation into compatible districts.
Why you should use super() though it sucksEunchong Yu
Python Korea FB Group Seminar 2013 Jan. http://onoffmix.com/event/11742
Speaker Deck: https://speakerdeck.com/kroisse/why-you-should-use-super-though-it-sucks
Google docs: https://docs.google.com/presentation/d/1NaDrIReaKD8qJhkTfyDEnt_FMReVR6aHbZ7RJVBhKf8/pub
The document describes a TimelineTableViewController class that is responsible for displaying a timeline. It initializes a TimelinePresenter when loaded, which handles fetching the timeline data and notifying the view controller. The presenter calls a TimelineUseCase to retrieve the timeline and then uses the view controller as an output to update the UI, such as showing/hiding empty and ad views depending on the timeline contents.
A pointer is a variable that stores the address of another variable. Pointers allow variables to reference memory locations and access the values stored there. An array is a collection of variables of the same type stored contiguously in memory. Strings in C are arrays of characters terminated by a null character. Pointers can also be used to point to strings by storing the base address of the character array. Multidimensional arrays and manipulating strings are also discussed.
The X-Ray Engine is a game engine, used in the S.T.A.L.K.E.R. game series. Its code was made public in September 16 2014, and since then, STALKER fans continue its development. A large project size, and a huge number of bugs in the games, gives us a wonderful chance to show what PVS-Studio is capable of.
C programming uses basic elements like expressions, statements, blocks and functions. Expressions combine constants, variables and operators, while statements end with semicolons. A block of statements is treated as a single statement. Standard library functions include printf(), exit() and scanf(). Control structures like if-else, switch, for, while and do-while statements are used for decision making and looping.
The composite pattern allows objects to be composed into tree structures to represent part-whole hierarchies. It allows clients to treat individual objects and compositions uniformly. The example shows how shapes like lines and rectangles can be composed into pictures. Individual shapes are leaf classes while pictures are composite classes that can group shapes together and be treated the same way as individual shapes by clients.
When I first started out with D3.js 2 years ago, I built things the same way, customising examples and although worked, I was never proud of my code. The chaining of methods makes the graphs concise, but costs a lot in cognitive overload and maintainability. Building this way is painful to modify, reuse or even to understand once you sit back down after lunch!
I had a huge revelation when I discovered the Reusable API (a modular structure to create and reuse d3 elements) and my code was elevated to even higher levels with Test Driven Development.
In this session I'll walk you through my journey toward beautiful, maintainable D3 graphs with step by step examples of refactoring crufty code to be shiny and new and testable.
By the end of the talk you too will know how to build decoupled, composable, encapsulated and consistent D3 graphs and be proud of your code again!
The C++ rvalue lifetime disaster. Arno Schödl ➠ CoreHard Autumn 2019corehard_by
Rvalue references have been with us since C++11. They have originally been introduced to make moving objects more efficient: the object an rvalue reference references is assumed to go out of scope soon and thus may have its resources scavenged without harm. The C++ standard library, for example std::cref or std::ranges, makes use of yet another aspect of rvalue references: since they go out of scope soon, it is assumed unsafe to hold on to them beyond the scope of the current function, while lvalue references are considered safe. We, too, found this assumption to be very useful for smart memory management, in particular in generic code. Unfortunately, the C++ language itself violates this assumption in at least two places. First, rvalues bind to const&. This means that innocent-looking functions taking a parameter by const& and passing it through in some way silently convert rvalues to lvalue references, hiding any lifetime limitation of the rvalues. std::min/max are two such examples. Worse still, every accessor member function returning a const& to a member suffers from this problem. Second, temporary lifetime extension is meant to make binding a temporary to a reference safe by extending the lifetime of the temporary. But this only works as long as the temporary is still a prvalue. If the temporary has been passed through a function, even it has been correctly passed through by rvalue reference, lifetime extension will no longer be invoked and we get a dangling reference. These problems are not merely theoretical. We have had hard-to-find memory corruption in our code because of these problems. In this talk, I will describe the problems in detail, present our library-only approach to mitigate the problems, and finally, make an impossible-to-ever-get-into-the-standard proposal of how to put things right.
1.5.recommending music with apache spark mlleorick lin
This document describes recommending music using Apache Spark ML. It discusses preparing datasets from files, constructing a pipeline using ALS (Alternating Least Squares) for recommendation, evaluating models on test data, and tuning hyperparameters. Key steps include random splitting data, training ALS with a grid of parameters, evaluating models on test data, and further tuning parameters to improve RMSE. The appendix discusses using CrossValidator for hyperparameter tuning instead of a grid search.
This document provides an overview of SQL functions in six categories: string, date, mathematical, aggregate, general, and converting data types. It describes common string, date, and mathematical functions and how to use them. Aggregate functions like COUNT, SUM, MIN, and MAX are also briefly covered. The ISNULL function is introduced as a way to handle null values gracefully.
It is an attempt to make the students of IT understand the basics of programming in C in a simple and easy way. Send your feedback for rectification/further development.
This document discusses metaprogramming in C++ and describes an RPC framework implemented using C++ templates and metaprogramming. It defines an interface called calc_interface for a calculator RPC with functions like add and signals like expr_evaluated. It shows how to define the interface using meta_functions, and how a client can invoke functions on the server while handling serialization, transport, and response deserialization. Key aspects covered include defining the interface, invoking functions from the client, argument checking, and verifying functions exist in the interface.
The document discusses pointers and arrays in C programming. It explains that an array stores multiple elements of the same type in contiguous memory locations, while a pointer variable stores the address of another variable. The summary demonstrates how to declare and initialize arrays and pointers, access array elements using pointers, pass arrays to functions by reference using pointers, and how pointers and arrays are related but not synonymous concepts.
This document provides a summary of the basic structure and key concepts of SQL, including:
1) SQL queries typically involve a SELECT statement to retrieve attributes from one or more relations based on conditions in a WHERE clause.
2) Common SQL clauses include SELECT, FROM, WHERE, GROUP BY, HAVING, and aggregate functions are used to perform calculations on groups of records.
3) Null values, three valued logic, and handling of duplicates are important concepts when working with SQL queries and relations.
Hive functions cheat sheet provides a listing and descriptions of built-in mathematical, date, and time functions in Hive. It also describes how to create user-defined functions (UDFs), user-defined aggregate functions (UDAFs), and user-defined table generating functions (UDTFs) and how to deploy and drop custom functions.
The document discusses various aspects of database integrity and security including domain constraints, referential integrity, triggers, assertions, and authorization. Domain constraints ensure values inserted are valid. Referential integrity ensures relationships between relations are maintained. Triggers allow automatic execution of actions on data modifications. Assertions specify conditions that should always be true. Authorization controls user access to data and modifications. Views can provide secure access to restricted data.
This document discusses various concepts related to database integrity and security including domain constraints, referential integrity, triggers, and authorization. It provides examples of how to implement these concepts using SQL statements such as CREATE DOMAIN, CREATE TABLE with PRIMARY KEY, FOREIGN KEY, CHECK constraints. It also discusses cascading actions and how triggers can be used to automatically execute actions in response to data modifications.
Esoft Metro Campus - Diploma in Web Engineering - (Module VII) Advanced PHP Concepts
(Template - Virtusa Corporate)
Contents:
Arrays
Indexed Arrays
Associative Arrays
Multidimensional arrays
Array Functions
PHP Objects and Classes
Creating an Object
Properties of Objects
Object Methods
Constructors
Inheritance
Method overriding
PHP Strings
printf() Function
String Functions
PHP Date/Time Functions
time() Function
getdate() Function
date() Function
mktime() function
checkdate() function
PHP Form Handling
Collecting form data with PHP
GET vs POST
Data validation against malicious code
Required fields validation
Validating an E-mail address
PHP mail() Function
Using header() function to redirect user
File Upload
Processing the uploaded file
Check if File Already Exists
Limit File Size
Limit File Type
Check if image file is an actual image
Uploading File
Cookies
Sessions
1) Functions allow programmers to organize code into reusable blocks and reduce redundant code. There are two types of functions: pre-defined/library functions and user-defined functions.
2) Functions are made up of a declaration, definition, parameters, and a return statement. When a function is called, the calling code is paused and control passes to the function.
3) Parameters allow passing of data into functions, while return values allow functions to return data. Functions can be called by value or by reference depending on whether the parameter address or value is passed.
This document provides a summary of key elements of the C programming language including program structure, data types, operators, flow control statements, standard libraries, and common functions. It covers topics such as functions, variables, comments, preprocessor directives, constants, pointers, arrays, structures, I/O, math functions, and limits of integer and floating point types. The summary is presented in a reference card format organized by sections.
Php my sql - functions - arrays - tutorial - programmerblog.netProgrammer Blog
In this ppt you will learn about functions and array in php. What are functions, how to declare and use. built in functions. include and required keywords. how are arguments used. how to create functions inside functions.
What are php arrays, how to create an array and use them. Built in array functions. What are super globals?
The document provides an overview of a C/C++ tutorial, including:
- Contact information for the teaching assistant and class website.
- An outline of topics covered, such as Hello World programs, data types, operators, conditionals, loops, arrays, strings, pointers, functions, command line arguments, data structures, and memory allocation.
- Brief explanations and examples of key concepts like variable types, arithmetic operations, conditional statements, loops, functions, pointers, and dynamic memory allocation. It also discusses differences between C and C++.
This document discusses different data types in C language including basic, derived, enumeration, and void data types. It provides the size and value range of basic data types like char, int, float, etc. It also lists common C keywords like auto, break, case, etc. and describes different operators in C like arithmetic, relational, logical, and bitwise operators. Example usages of these operators are provided to illustrate their functionality.
The document discusses implicit classes in Scala, which allow extending existing types with new methods without changing the type. It provides examples of using implicit classes to add a quote method to Strings and a factorial method to Integers. The document also covers string interpolation in Scala, which allows embedding variable references in string literals.
This document provides an overview of SQL (Structured Query Language) including its history, data definition and manipulation capabilities. Key topics covered include SQL's data types, basic queries using SELECT, FROM and WHERE clauses, joins, aggregation, null values, triggers and indexes. The document also discusses SQL standards over time and commercial database implementations of SQL features.
This document contains Python code for connecting to real-time stock market data sources and retrieving stock information such as quotes, ticks, prices, and volumes. It defines a Connection class that establishes sockets to different stock exchange servers and implements methods to send HTTP requests for different types of market data using pre-defined header templates. The responses are parsed and returned in JSON format.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
6. Value Semantics & Reference Semantics
Value Semantics
Copy-by-Value :
(Identity) < (Equality)
Struct, Enum, Tuple Objective-C Swift Value Type
Swift class ReferenceType
ValueType
7. Stack
Heap -> Reference Counting
Value Semantics & Reference Semantics
Value Type
8. Struct Value Type
struct SomeStruct {
var value = 10
}
func foo() {
var bar1 = SomeStruct()
var bar2 = bar1
bar2.value = 11
}
foo()
Value Semantics & Reference Semantics
9. Struct Value Type
struct SomeStruct {
var value = 10
}
func foo() {
var bar1 = SomeStruct()
var bar2 = bar1
bar2.value = 11
}
foo()
Value Semantics & Reference Semantics
bar2 : (7FFEEFBFF4B0) : 0B 00 00 00
00 00 00 00
bar1 : (7FFEEFBFF4B8) : 0A 00 00 00
00 00 00 00
10. Struct Value Type
struct SomeStruct {
var value = 10
}
func foo() {
var bar1 = SomeStruct()
var bar2 = bar1
bar2.value = 11
}
foo()
bar2 : (7FFEEFBFF4B0) : 0B 00 00 00
00 00 00 00
bar1 : (7FFEEFBFF4B8) : 0A 00 00 00
00 00 00 00!
Value Semantics & Reference Semantics
Stack 8 Byte
bar1.value // 10
bar2.value // 11
I
11. class SomeClass {
var value = 10
}
func foo() {
var bar1 = SomeClass()
var bar2 = bar1
bar2.value = 11
}
foo()
Value Semantics & Reference Semantics
Class Value Type
12. Value Semantics & Reference Semantics
Class Value Type
Stack 8 Byte
class SomeClass {
var value = 10
}
func foo() {
var bar1 = SomeClass()
var bar2 = bar1
bar2.value = 11
}
foo()
bar2 : (7FFEEFBFF4A0) : 20 FF 0A 03
01 00 00 00
bar1 : (7FFEEFBFF4A8) : 20 FF 0A 03
01 00 00 00
(1030AFF20) : 80 8F 00 00 01 00 00 00
02 00 00 00 02 00 00 00
0B 00 00 00 00 00 00 00
a
28. Value Semantics & Reference Semantics
Reference Type Immutable ?
Value Type , Thread-Safe
Reference Type Immutable ?
29. Value Semantics & Reference Semantics
Reference Type Immutable ?
Reference Type Immutable Thread
Foundation
(NSAttributedString <-> NSMutableAttributedString )
Immutable
Mutable
30. Value Semantics & Reference Semantics
Reference Type Immutable ?
Immutable
var array = NSArray()
for number in [1, 2, 3] {
array = array.adding(number) as NSArray
}
GO
31. Value Semantics & Reference Semantics
Reference Type Immutable ?
Immutable
var array = NSArray()
for number in [1, 2, 3] {
array = array.adding(number) as NSArray
}
var array = NSMutableArray()
for number in [1, 2, 3] {
array.add(number)
}
i
32. Value Semantics & Reference Semantics
Reference Type Immutable ?
API
// Mutable API
car.dashboard.speed = 100
// Immutable API
car.dashboard = Car.Dashboard(speed: 100)
// car = Car(dashboard: Car.Dashboard(speed: 100))
TO
of
Dashboard
33. Value Semantics & Reference Semantics
Class .
Identity Equality
Objective-C : Cocoa / Cocoa Touch Objective-C
Indirect Storage : Struct
100P t
37. Heap
//
let key = "(color)(theme)(selected)"
//
enum Color {}
enum Theme {}
struct Attribute: Hashable {
var color: Color
var theme: Theme
var selected: Bool
}
let key = Attribute(color: color, theme: theme, selected: selected)
string
let L
t Dictionary Key Hashable
iii
in j
it
78. Swift
Struct
Reference Type Struct
struct Label {
var text: String
var font: UIFont
}
// 1
let font = UIFont.systemFont(ofSize: 15)
// 2
let label = Label(text: "msg", font: font)
// 3
let label2 = label
UIFont Class (Reference Type) -> Reference Counting
String Heap -> Reference Counting
79. Swift
Struct
Reference Type Struct
struct Label {
var text: String
var font: UIFont
}
// 1
let font = UIFont.systemFont(ofSize: 15)
// 2
let label = Label(text: "msg", font: font)
// 3
let label2 = label
...
refCount 3
...
HeapStack
...font
text(storage)
font
text(storage)
font
...
refCount 2
...
label
label2
80. Swift
Struct
Reference Type
struct HTTPRequest {
var `protocol`: String
var domain: String
var path: String
var filename: String
var `extension`: String
var query: [String: String]
var httpMethod: String
var httpVersion: String
var httpHost: String
}
81. Swift
Struct
Reference Type
enum HTTPMethod {
case get
case post
case put
case delete
}
enum HTTPVersion {
case v1
case v2
}
struct HTTPRequest {
var urlString: String
var httpMethod: HTTPMethod
var httpVersion: HTTPVersion
var httpHost: String
}
struct HTTPRequest {
var `protocol`: String
var domain: String
var path: String
var filename: String
var `extension`: String
var query: [String: String]
var httpMethod: String
var httpVersion: String
var httpHost: String
}
85. Swift
Protocol
Protocol Type : Memory Allocation
protocol Drawable {}
struct Point: Drawable {
var a: Int
}
struct Line: Drawable {
var x: Int
var y: Int
}
let drawables: [Drawable] =
[Point(), Line()]
refCount
HeapStack
...
storage
drawables
a x
y
8 Byte
16 Byte
87. Swift
Protocol
Existential Container
Protocol Type
5 Word (64bit -> 1 Word == 8 Byte)
- 3 Word : Value Buffer
- 2 Word : Buffer (VWT / PWT )
Protocol Type Existential Container
Protocol 3 Word ,
- 3 Word : Existential Container Value Buffer
- 3 Word : Heap ,
Value Buffer
97. Swift
Protocol
Indirect Storage
Value Type Reference Type
Value Semantics Copy-on-Write
isKnownUniquelyReferenced(_:)
if !isKnownUniquelyReferenced(&object) {
storage = Storage(storage)
}
102. protocol SomeProtocol {
var a: Int { get }
var b: Int { get }
}
struct SomeStruct: SomeProtocol {
var a: Int = 10
var b: Int = 11
}
func foo() {
var someStruct1 = SomeStruct()
var someStruct2: SomeProtocol = SomeStruct()
withUnsafeBytes(of: &someStruct1) { print($0) }
withUnsafeBytes(of: &someStruct2) { print($0) }
}
foo()
106. protocol SmallProtocol {
var a: Int { get }
var b: Int { get }
var c: Int { get }
}
protocol LargeProtocol {
var a: Int { get }
var b: Int { get }
var c: Int { get }
var d: Int { get }
}
struct SmallStruct: SmallProtocol {
var a: Int = 10
var b: Int = 11
var c: Int = 12
}
struct LargeStruct: LargeProtocol {
var a: Int = 10
var b: Int = 11
var c: Int = 12
var d: Int = 13
}
func foo() {
var smallStruct: SmallProtocol = SmallStruct()
var largeStruct: LargeProtocol = LargeStruct()
withUnsafeBytes(of: &smallStruct) { print($0) }
withUnsafeBytes(of: &largeStruct) { print($0) }
}
foo()
111. protocol SmallProtocol {
var a: Int { get set }
var b: Int { get set }
var c: Int { get set }
}
struct SmallStruct: SmallProtocol {
var a: Int = 10
var b: Int = 11
var c: Int = 12
}
func foo() {
var bar1: SmallProtocol = SmallStruct()
var bar2 = bar1
// breakpoint 1
bar2.a = 11
// breakpoint 2
withUnsafeBytes(of: &bar1) { print($0) }
withUnsafeBytes(of: &bar2) { print($0) }
}
foo()
3 Word Protocol Type
113. protocol LargeProtocol {
var a: Int { get set }
var b: Int { get set }
var c: Int { get set }
var d: Int { get set }
}
struct LargeStruct: LargeProtocol {
var a: Int = 10
var b: Int = 11
var c: Int = 12
var d: Int = 13
}
func foo() {
var bar1: LargeProtocol = LargeStruct()
var bar2 = bar1
// breakpoint 1
bar2.a = 11
// breakpoint 2
withUnsafeBytes(of: &bar1) { print($0) }
withUnsafeBytes(of: &bar2) { print($0) }
}
foo()
3 Word Protocol Type
116. Swift
Protocol
3 Word Protocol Type vs. Indirect Storage
3 Word Protocol Type Indirect Storage
Heap
Reference Counting : X
Copy-on-Write -> Value Semantics
Heap
Reference Counting : O
Value Semantics
Copy-on-Write
117. Swift
Generics
3 Word Protocol Type vs. Indirect Storage
protocol Drawable { func draw() }
struct Point: Drawable { func draw() { ... } }
struct Line: Drawable { func draw() { ... } }
func draw<T: Drawable>(_ drawable: T) {
drawable.draw()
}
draw(Point())
draw(Line())
Generic Type T Drawable
Existential Container
T :
->
120. protocol SomeProtocol {
var a: Int { get }
}
struct SomeStruct1: SomeProtocol {
var a: Int = 10
}
struct SomeStruct2: SomeProtocol {
var a: Int = 11
var b: Int = 12
}
func bar<T: SomeProtocol>(_ bar: T) {
var bar = bar
print(type(of: bar))
withUnsafeBytes(of: &bar) { print($0) }
}
func foo() {
bar(SomeStruct1())
bar(SomeStruct2())
}
foo()