This document discusses arrows in Perl. It describes how arrows generalize monads by allowing composition of functions with arbitrary signatures. It provides examples of implementing arrow classes in Perl, including using subroutines as arrows and implementing arrow operators like first, split, and parallel composition. It also discusses how arrows form a premonoidal category and relates arrows to monads.
Introduction to ad-3.4, an automatic differentiation library in Haskellnebuta
Haskellの自動微分ライブラリ Ad-3.4 の紹介(の試み) If you don't see 21 slides in this presentation, try this one (re-uploaded): http://www.slideshare.net/nebuta/130329-ad-by-ekmett
This document discusses PHP arrays, including indexed arrays, associative arrays, multi-dimensional arrays, and various functions for manipulating arrays. It covers printing arrays with print_r() and var_dump(), iterating through arrays with foreach loops, unravelling arrays into individual variables using list(), and performing operations like merging, comparing, sorting, and randomizing arrays. A variety of array functions are also described such as count(), is_array(), array_key_exists(), in_array(), array_flip(), array_reverse(), sort(), asort(), and more.
PHP has its own treasure chest of classic mistakes that surprises even the most seasoned expert : code that dies just by changing its namespace, strpos() that fails to find strings or arrays that changes without touching them. Do that get on your nerves too? Let’s make a list of them, so we can always teach them to the new guys, spot them during code reviews and kick them out of our code once and for all. Come on, you’re not frightening us?
This document provides an overview and introduction to NumPy, a fundamental package for scientific computing in Python. It discusses NumPy's core capabilities like N-dimensional arrays and universal functions for fast element-wise operations. The document also briefly introduces SciPy which builds upon NumPy and provides many scientific algorithms. Finally, it demonstrates basic NumPy operations like creating arrays, slicing, indexing, and plotting to visualize data.
This document provides an overview of strings in PHP. It discusses single and double quote strings and how they differ in handling escape sequences and variable interpolation. It also covers the heredoc syntax. The document explains functions for comparing, manipulating, and extracting substrings from strings. These include strcmp(), strlen(), substr(), and regular expression functions. It provides examples of escaping characters, accessing strings as arrays, and using strings with functions like number_format(). Overall, the document is a guide to the basics of strings and common string functions in PHP.
This document discusses monads in Perl and provides examples using the List and AnyEvent monads. It explains that monads consist of a type, unit and flat_map functions. The List monad is implemented with arrays as the type and unit/flat_map functions are defined. AnyEvent uses condvar objects as values that require callbacks to access results, demonstrating how monads allow sequential processing of asynchronous code.
The document discusses various PHP concepts including iterators, generators, arrays, and performance. It provides examples of using iterators, generators, and default array functions to iterate over arrays and collections. It also compares the readability and performance of these different approaches. The document suggests that generators can help avoid memory issues by evaluating sequences lazily without building entire arrays in memory.
Introduction to ad-3.4, an automatic differentiation library in Haskellnebuta
Haskellの自動微分ライブラリ Ad-3.4 の紹介(の試み) If you don't see 21 slides in this presentation, try this one (re-uploaded): http://www.slideshare.net/nebuta/130329-ad-by-ekmett
This document discusses PHP arrays, including indexed arrays, associative arrays, multi-dimensional arrays, and various functions for manipulating arrays. It covers printing arrays with print_r() and var_dump(), iterating through arrays with foreach loops, unravelling arrays into individual variables using list(), and performing operations like merging, comparing, sorting, and randomizing arrays. A variety of array functions are also described such as count(), is_array(), array_key_exists(), in_array(), array_flip(), array_reverse(), sort(), asort(), and more.
PHP has its own treasure chest of classic mistakes that surprises even the most seasoned expert : code that dies just by changing its namespace, strpos() that fails to find strings or arrays that changes without touching them. Do that get on your nerves too? Let’s make a list of them, so we can always teach them to the new guys, spot them during code reviews and kick them out of our code once and for all. Come on, you’re not frightening us?
This document provides an overview and introduction to NumPy, a fundamental package for scientific computing in Python. It discusses NumPy's core capabilities like N-dimensional arrays and universal functions for fast element-wise operations. The document also briefly introduces SciPy which builds upon NumPy and provides many scientific algorithms. Finally, it demonstrates basic NumPy operations like creating arrays, slicing, indexing, and plotting to visualize data.
This document provides an overview of strings in PHP. It discusses single and double quote strings and how they differ in handling escape sequences and variable interpolation. It also covers the heredoc syntax. The document explains functions for comparing, manipulating, and extracting substrings from strings. These include strcmp(), strlen(), substr(), and regular expression functions. It provides examples of escaping characters, accessing strings as arrays, and using strings with functions like number_format(). Overall, the document is a guide to the basics of strings and common string functions in PHP.
This document discusses monads in Perl and provides examples using the List and AnyEvent monads. It explains that monads consist of a type, unit and flat_map functions. The List monad is implemented with arrays as the type and unit/flat_map functions are defined. AnyEvent uses condvar objects as values that require callbacks to access results, demonstrating how monads allow sequential processing of asynchronous code.
The document discusses various PHP concepts including iterators, generators, arrays, and performance. It provides examples of using iterators, generators, and default array functions to iterate over arrays and collections. It also compares the readability and performance of these different approaches. The document suggests that generators can help avoid memory issues by evaluating sequences lazily without building entire arrays in memory.
Python decorators allow functions and classes to be augmented or modified by wrapper objects. Decorators take the form of callable objects that process other callable objects like functions and classes. Decorators are applied once when a function or class is defined, making augmentation logic explicit and avoiding the need to modify call sites. Decorators can manage state information, handle multiple instances, and take arguments to customize behavior. However, decorators also introduce type changes and extra function calls that incur performance costs.
Highlights a bunch of different Python tricks and tips - from the stupid to the awesome (and a bit of both).
See how to register a 'str'.decode('hail_mary') codec, call_functions[1, 2, 3] instead of call_functions(1, 2, 3), creating a "Clojure-like" threading syntax by overloading the pipe operator, create useful equality mocks by overloading the equality operator, ditch JSON for pySON and put together a tiny lisp based on Norvig's awesome article.
Conheça um pouco mais sobre Perl 6, uma linguagem de programação moderna, poderosa e robusta que permitirá que você escreva código de forma ágil e eficiente.
This document discusses Python decorators. Decorators allow functions to be modified or extended without permanently changing them. Decorators are functions that take other functions as arguments and return modified functions. The @ syntax is used to decorate a function, which is equivalent to calling the decorator on the function. Decorators can be used to add logging, timing, caching, and other functionality to existing functions without changing the code. Well-designed decorators allow the decorated function to be called normally while changing its behavior behind the scenes.
The document discusses the Field API in Drupal. It provides an overview of the Field API, its components and terminology. It also demonstrates how to create custom field types, widgets and formatters using the Field API in Drupal 7 and 8. Code examples are given for an addition field formatter, arithmetic field type, and arithmetic widget. The document notes that Field API code is more organized and modular in Drupal 8 using plugins instead of hooks.
Functional Pe(a)rls - the Purely Functional Datastructures editionosfameron
All new material, this time about one of the fundamental functional datastructures, the Linked List, and the overview of an implementation in Moosey Perl.
This covers some of the same material as https://github.com/osfameron/pure-fp-book but perhaps with more explanation (and covering much less material - it was only a 20 minute talk)
Decorators in Python allow functions and methods to be modified by wrapping them in another callable object. Decorators provide a lightweight way to add reusable behavior to code. However, decorators can make functions difficult to test and introduce tight coupling. Alternatives like inheritance and mixins may provide a cleaner approach in some cases.
The document discusses arrays in PHP, including the three types of arrays (indexed, associative, and multidimensional), how to create and access array elements, functions for manipulating arrays like sort(), merge(), search(), and more. Key array functions covered are sort(), asort(), ksort(), array_merge(), array_intersect(), array_diff(), and the list() function for assigning array values to variables.
Python легко и просто. Красиво решаем повседневные задачиMaxim Kulsha
The document discusses various techniques for iteration in Python. It covers iterating over lists, dictionaries, files and more. It provides examples of iterating properly to avoid errors like modifying a list during iteration. Context managers are also discussed as a clean way to handle resources like file objects. Overall the document shares best practices for writing efficient and robust iteration code in Python.
Object Oriented programming in Python.
Originally part 3 of a 4 lectures seminar for the Networking class of the Computer Science course at the University of Parma
The document discusses various ways to extend and modify the Ruby parser. It covers:
1. Proposed syntax additions like {:key :-) "value"} and ++i which would require changes to the lexer and parser.
2. How the parser handles colons and symbols using token types like tCOLON2.
3. Examples of parsing constructs like method calls, assignments, and the def A#b syntax.
4. Details of how the lexer and parser are implemented in C using a parser generator and interaction between lexer states and token types.
The document describes the initialization of a graphical user interface (GUI) for a harmonicograph application using the Wx::Perl toolkit. It loads localization text, remembered favorites, and default parameter ranges. It then creates widgets like sliders, buttons and a drawing board and arranges them in a tabbed layout within a main frame window. The frame is populated with the widgets and initialized parameter values before being displayed.
This document discusses matrix operations in C++. It includes code to:
1) Define a function to calculate the sum of a matrix and pass the matrix and its dimension as parameters.
2) Define a function to reverse the rows of a matrix by passing the matrix and dimension.
3) Provide main code to input a matrix, call the sum and reverse functions, calculate the determinant, and output the results.
This document discusses how Vim can improve productivity for Perl coding. It provides examples of using Vim motions and modes like Normal mode, Insert mode, and Visual mode to efficiently edit code. It also covers Vim features like syntax highlighting, custom syntax files, key mappings, and text objects that are useful for Perl. The document advocates that Vim is a powerful editor rather than an IDE and highlights how it can save significant time compared to less efficient editing methods.
This document provides an introduction and outline for a Python fundamentals course focused on basic Python programming. The outline covers topics like introduction, data types, operators, flow control, functions, classes, exceptions, and file input/output. Code examples are provided for common concepts like Hello World, variables, conditionals, loops, functions, and classes. The goal is to teach Python basics to beginners.
Climbing the Abstract Syntax Tree (PHP UK 2018)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run. To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before. After seeing this talk, you'll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
Climbing the Abstract Syntax Tree (Midwest PHP 2020)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run.
To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before.
After seeing this talk, you’ll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
Climbing the Abstract Syntax Tree (ScotlandPHP 2018)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run.
To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before.
After seeing this talk, you’ll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
The document discusses various techniques in Perl for dealing with reference cycles and memory leaks caused by strong references, including using weak references, extracting needed data from objects before destroying them, and passing objects into subroutines to avoid capturing them. It also discusses analogous techniques used in Objective-C like weak references and guard objects to break cycles.
Math::Category is a Perl module that defines categories and mathematical structures like functors, natural transformations, and monads. It implements categories as objects with morphisms that have source and target objects. Functors map objects and morphisms between categories while natural transformations transform functors. The module also defines monads as endofunctors with additional structure and provides examples like the list and state monads. Kleisli categories are constructed from monads to model computations.
Python decorators allow functions and classes to be augmented or modified by wrapper objects. Decorators take the form of callable objects that process other callable objects like functions and classes. Decorators are applied once when a function or class is defined, making augmentation logic explicit and avoiding the need to modify call sites. Decorators can manage state information, handle multiple instances, and take arguments to customize behavior. However, decorators also introduce type changes and extra function calls that incur performance costs.
Highlights a bunch of different Python tricks and tips - from the stupid to the awesome (and a bit of both).
See how to register a 'str'.decode('hail_mary') codec, call_functions[1, 2, 3] instead of call_functions(1, 2, 3), creating a "Clojure-like" threading syntax by overloading the pipe operator, create useful equality mocks by overloading the equality operator, ditch JSON for pySON and put together a tiny lisp based on Norvig's awesome article.
Conheça um pouco mais sobre Perl 6, uma linguagem de programação moderna, poderosa e robusta que permitirá que você escreva código de forma ágil e eficiente.
This document discusses Python decorators. Decorators allow functions to be modified or extended without permanently changing them. Decorators are functions that take other functions as arguments and return modified functions. The @ syntax is used to decorate a function, which is equivalent to calling the decorator on the function. Decorators can be used to add logging, timing, caching, and other functionality to existing functions without changing the code. Well-designed decorators allow the decorated function to be called normally while changing its behavior behind the scenes.
The document discusses the Field API in Drupal. It provides an overview of the Field API, its components and terminology. It also demonstrates how to create custom field types, widgets and formatters using the Field API in Drupal 7 and 8. Code examples are given for an addition field formatter, arithmetic field type, and arithmetic widget. The document notes that Field API code is more organized and modular in Drupal 8 using plugins instead of hooks.
Functional Pe(a)rls - the Purely Functional Datastructures editionosfameron
All new material, this time about one of the fundamental functional datastructures, the Linked List, and the overview of an implementation in Moosey Perl.
This covers some of the same material as https://github.com/osfameron/pure-fp-book but perhaps with more explanation (and covering much less material - it was only a 20 minute talk)
Decorators in Python allow functions and methods to be modified by wrapping them in another callable object. Decorators provide a lightweight way to add reusable behavior to code. However, decorators can make functions difficult to test and introduce tight coupling. Alternatives like inheritance and mixins may provide a cleaner approach in some cases.
The document discusses arrays in PHP, including the three types of arrays (indexed, associative, and multidimensional), how to create and access array elements, functions for manipulating arrays like sort(), merge(), search(), and more. Key array functions covered are sort(), asort(), ksort(), array_merge(), array_intersect(), array_diff(), and the list() function for assigning array values to variables.
Python легко и просто. Красиво решаем повседневные задачиMaxim Kulsha
The document discusses various techniques for iteration in Python. It covers iterating over lists, dictionaries, files and more. It provides examples of iterating properly to avoid errors like modifying a list during iteration. Context managers are also discussed as a clean way to handle resources like file objects. Overall the document shares best practices for writing efficient and robust iteration code in Python.
Object Oriented programming in Python.
Originally part 3 of a 4 lectures seminar for the Networking class of the Computer Science course at the University of Parma
The document discusses various ways to extend and modify the Ruby parser. It covers:
1. Proposed syntax additions like {:key :-) "value"} and ++i which would require changes to the lexer and parser.
2. How the parser handles colons and symbols using token types like tCOLON2.
3. Examples of parsing constructs like method calls, assignments, and the def A#b syntax.
4. Details of how the lexer and parser are implemented in C using a parser generator and interaction between lexer states and token types.
The document describes the initialization of a graphical user interface (GUI) for a harmonicograph application using the Wx::Perl toolkit. It loads localization text, remembered favorites, and default parameter ranges. It then creates widgets like sliders, buttons and a drawing board and arranges them in a tabbed layout within a main frame window. The frame is populated with the widgets and initialized parameter values before being displayed.
This document discusses matrix operations in C++. It includes code to:
1) Define a function to calculate the sum of a matrix and pass the matrix and its dimension as parameters.
2) Define a function to reverse the rows of a matrix by passing the matrix and dimension.
3) Provide main code to input a matrix, call the sum and reverse functions, calculate the determinant, and output the results.
This document discusses how Vim can improve productivity for Perl coding. It provides examples of using Vim motions and modes like Normal mode, Insert mode, and Visual mode to efficiently edit code. It also covers Vim features like syntax highlighting, custom syntax files, key mappings, and text objects that are useful for Perl. The document advocates that Vim is a powerful editor rather than an IDE and highlights how it can save significant time compared to less efficient editing methods.
This document provides an introduction and outline for a Python fundamentals course focused on basic Python programming. The outline covers topics like introduction, data types, operators, flow control, functions, classes, exceptions, and file input/output. Code examples are provided for common concepts like Hello World, variables, conditionals, loops, functions, and classes. The goal is to teach Python basics to beginners.
Climbing the Abstract Syntax Tree (PHP UK 2018)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run. To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before. After seeing this talk, you'll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
Climbing the Abstract Syntax Tree (Midwest PHP 2020)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run.
To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before.
After seeing this talk, you’ll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
Climbing the Abstract Syntax Tree (ScotlandPHP 2018)James Titcumb
The new Abstract Syntax Tree (AST) in PHP 7 means the way our PHP code is being executed has changed. Understanding this new fundamental compilation step is key to understanding how our code is being run.
To demonstrate, James will show how a basic compiler works and how introducing an AST simplifies this process. We’ll look into how these magical time-warp techniques* can also be used in your code to introspect, analyse and modify code in a way that was never possible before.
After seeing this talk, you’ll have a great insight as to the wonders of an AST, and how it can be applied to both compilers and userland code.
(*actual magic or time-warp not guaranteed)
The document discusses various techniques in Perl for dealing with reference cycles and memory leaks caused by strong references, including using weak references, extracting needed data from objects before destroying them, and passing objects into subroutines to avoid capturing them. It also discusses analogous techniques used in Objective-C like weak references and guard objects to break cycles.
Math::Category is a Perl module that defines categories and mathematical structures like functors, natural transformations, and monads. It implements categories as objects with morphisms that have source and target objects. Functors map objects and morphisms between categories while natural transformations transform functors. The module also defines monads as endofunctors with additional structure and provides examples like the list and state monads. Kleisli categories are constructed from monads to model computations.
The document discusses dependent pair types (Σ-types), which allow the type of the second element of a pair to depend on the value of the first. It provides the formation rules, introduction and elimination rules, computation rules, and uniqueness principle for Σ-types. Examples of Σ-types are implemented in Idris and Scala using dependent functions and implicits.
13 - Scala. Dependent pair type (Σ-type)Roman Brovko
The document discusses dependent pair types (Σ-types), which allow the type of the second element of a pair to depend on the value of the first. It provides the formation rules, introduction and elimination rules, computation rules, and uniqueness principle for Σ-types. Examples of Σ-types are implemented in Idris and Scala using dependent functions and implicits.
Programming Lisp Clojure - 2장 : 클로저 둘러보기JangHyuk You
This document provides an overview of basic Clojure data types and control structures.
It describes Clojure's support for (boolean) true and false, (character) \a, (keyword) :tag, (map) {:name "Bill", :age 42}, (number) 1, 4.2, (string) "hello", and (symbol) user/foo data types.
It also summarizes commonly used control structures like if, do, loop/recur, and for and provides examples of their usage.
This document discusses functional programming concepts in Perl. It begins with a brief history of Perl and how functions like sort, grep, and map evolved over time and took on a more functional style. It then demonstrates how to write functional-style code in Perl using lexical scoping, first-class functions, and function composition. Examples include writing dice rolling and dice tower generation functions in a functional way. The document notes some limitations of functional programming in Perl, like lack of purity and difficulty making some concepts simple that are in functional languages, but suggests improvements coming in Perl 6 like static typing and better support for functional patterns.
Taking Perl to Eleven with Higher-Order FunctionsDavid Golden
Sometimes, you just need your Perl to go one higher. This talk will teach you how to use functions that return functions for powerful, succinct solutions to some repetitive coding problems. Along the way, you’ll see concrete examples using higher-order Perl to generate declarative, structured “fake” data for testing.
Perl6 introduces a variety of tools for functional programming and writing readable code. Among them parameter declarations and lazy lists. This talk looks at how to get Perl6, where to find examples on RakudoCode, and how to use Perl6 functional tools for converting an algorithm from imperative to functional code, including parallel dispatch with the ">>" operator.
Perl Bag of Tricks - Baltimore Perl mongersbrian d foy
The document discusses various Perl tricks and techniques, including using regular expressions to manipulate strings, testing code with arrays of test cases, and handling errors gracefully by returning a null object.
Note: slightly updated version of these slides are: http://www.slideshare.net/IanBarber/document-classification-in-php-slight-return
This talk discusses how PHP and open source tools can be used to group and classify data for a whole host of applications, including information retrieval, data mining and more.
The document discusses functional programming concepts like monads, functors, and for comprehensions in Scala. It provides definitions and laws for functors, monads, and monadic operations like map, flatMap, filter. It shows the equivalence between for comprehensions and flatMap/map implementations. It also discusses monadic zeros and filtering laws. Key concepts covered include the functor laws, monad laws, equivalence between map/flatMap and for comprehensions, and laws for operations like filter.
1. The document presents several mathematical concepts and problems involving functions, sets, inequalities, limits, and matrices.
2. Key concepts covered include properties of functions, set operations and relations, solving systems of equations, and taking limits of sequences and functions.
3. A variety of problem types are provided involving evaluating expressions, solving equations, finding domains/ranges, and determining limits.
The document discusses composite functions and examples of evaluating composite functions. It begins with the definition of a composite function as a function that maps x onto g(f(x)), where the domain is all values in the domain of f that are also in the domain of g. It then provides examples of evaluating composite functions by first applying the inner function f and then applying the outer function g. It finds domains of composite functions and evaluates several examples of composite functions.
This document discusses environments and scoping in R. It provides examples of how parent environments and parent frames work when calling functions. The key points are:
- The parent environment of a function is the environment in which the function is defined.
- The parent frame of a function is the environment from which the function was called.
- Variables in the parent environments and frames may be accessible depending on the context.
PHP record- with all programs and outputKavithaK23
This document provides examples of using different PHP features including strings, arrays, functions, classes, objects, and form validation. It includes 12 examples demonstrating various PHP concepts. The first example shows string manipulation functions. The second demonstrates arrays and array functions. The third calculates a factorial using a user-defined function. Subsequent examples generate an employee payslip using classes and objects, build a student mark entry interface, perform hotel room booking with advanced controls, and validate form data on the client and server sides.
The document discusses type systems and type inference in Perl. It explains that in Perl, what matters is whether a term is "typeable" rather than its specific type. Terms are typeable if they can be evaluated in the same way as in the typed lambda calculus. The document then covers type inference algorithms for Perl, including typed lambda calculus, building and solving equations to infer types, polymorphic types, record types, subtyping, and recursive types.
1) A reporter hears that a lady named "Fukashigi" is in trouble, unable to solve a combinatorial problem involving counting paths on a grid.
2) The reporter implements an algorithm called Simpath in Perl to efficiently count the number of paths and solves a 9x9 grid problem in seconds, over 1 million times faster than brute force.
3) By using techniques like binary decision diagrams and sharing computation between identical subproblems, the algorithm is able to compress the exponential search space into a polynomial solution. This demonstrates the importance of algorithms for tackling combinatorial explosion.
An introduction of Levenshtein Automata to implement fuzzy search with common RDBMSs.
The original of blog entry is here;
http://blog.notdot.net/2010/07/Damn-Cool-Algorithms-Levenshtein-Automata
The document discusses generating documentation from POD files using various Perl modules. It shows commands to:
1) Convert a POD file to HTML using pod2html and encounters an unknown directive error.
2) Batch convert all POD files in a lib directory to HTML using Pod::Simple::HTMLBatch.
3) Configure Pod::Simple::HTMLBatch to use the Pod::Simple::XHTML renderer.
4) Generate documentation projects from POD files using pod2projdocs.
5) Create a Pod site from lib POD files using podsite.
This document discusses uWSGI, an application server gateway interface that can host WSGI applications written in languages like Python, Lua, Perl, Ruby, Erlang, and JVM/mono. It is non-blocking and fast, using techniques like fibers in Ruby and coroutines in other languages. It also has features like a fast router and ability to subscribe to events. uWSGI can host PSGI applications and is lightweight enough to be used with libraries like AnyEvent on platforms like OS X and dotcloud.
Git is a distributed version control system invented by Linus Torvalds that stores data in a file system made up of snapshots of a project over time. It allows developers to work collaboratively by tracking changes to files and coordinating code changes between team members or branches of development. Git uses a client-server model with local repositories that can be pushed to and pulled from remote repositories hosted on services like GitHub.
This document discusses AnyEvent, a module for asynchronous programming in Perl using non-blocking I/O. It provides an overview of how AnyEvent works and can be used to build event-driven applications. The document also covers Plack and PSGI, describing them as standards for building web applications in Perl using a common interface that can run on different web servers via middleware like Plack.
This document discusses state monads in Haskell. It defines the State monad and its operators (>>=) and return. It shows how state is threaded through computations using these operators. It provides examples of using the state monad to increment a counter and to define functions like put and get that set and get the current state. In summary:
1) It introduces the State monad and its operators for threading state through computations.
2) It gives examples like incrementing a counter to demonstrate how the state is transformed and passed between function applications in the monad.
3) It shows how functions like put and get can be defined to set and access the internal state using the monad operators.
This document discusses state monads in Haskell. It explains that a state monad maintains internal state and allows functions to access and modify that state. Functions in a state monad return both a value and the new state. The document provides examples of using state monads to model counters, character sequences, and state transitions. It shows how the state is threaded through function applications using the (>>=) operator.
This document summarizes the similarities between State and other monadic types in Haskell like Maybe and IO. It shows that State, like these other types, forms a Kleisli triple with return and (>>=) (bind) operations. It provides examples of how return and (>>=) work for State, and explains that State is an instance of the Monad typeclass because it implements these functions in a way that satisfies the monad laws, making it a monad.
1) The document presents a mathematical proof using pullbacks and mono morphisms.
2) It proves that if f'k1 = f'k2 then g'k1 = g'k2, where k1 and k2 are mono morphisms.
3) The proof proceeds over 9 steps, applying properties of pullbacks and mono morphisms to deduce the conclusion.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
23. Monad Arrow
(Haskell )
mb
f
a
Arrows
f :: m b c b
a
24. Arrows
arr >>> first ↝
arr :: a -> b -> (a ↝ b)
>>> :: (a ↝ b) -> (b ↝ c) -> (a ↝ c)
first :: (a ↝ b) -> (a × c ↝ b × c)
25. Arrow
package Arrow;
sub arr {
my ($class, $code) = @_;
die "not implemented";
}
sub first {
my $self = shift;
die "not implemented";
}
sub next {
my ($self, $arrow) = @_;
die "not implemented";
}
26. first
a↝b a b
>>>
arr ↝
a f b a arr f :: a ↝ b
b
g arr arr f >>> arr g :: a ↝ c
arr g :: b ↝ c
g.f
c c
27. first
Arrow ↝
a c a×c
f :: a↝b g :: c↝d f *** g :: a×c↝b×d
b d b×d
28. (f *** g) >>> (f’ *** g’) (f >>> f’) *** (g >>> g’)
f g f g
f’ g’ f’ g’
29. (f *** g) >>> (f’ *** g’) (f >>> f’) *** (g >>> g’)
f g f g
f’ g’ f’ g’
30. premonoidal category
f ⋉ id = first f a×b a×b
id ⋊ f = second f
f ⋉ id
a’×b (f>>>f’) ⋉ id
f’ ⋉ id
a’’×b a’’×b
31. premonoidal category
f ⋉ id = first f a×b a×b
id ⋊ f = second f
f ⋉ id
a’×b (f>>>f’) ⋉ id
f’ ⋉ id
a’’×b a’’×b
32. central
f *** g ≡ first f >>> second g
first f >>> second - = second - >>> first f
first - >>> second f = second f >>> first -
f central
arr f central
f |x g ≡ first f >>> second (arr g)
( 10.2)
33. Freyd category
premonoidal category
(central central )
a -> b Arrow a ↝ b
arr Freyd category
35. second ***
sub second {
my $self = shift;
my $swap = (ref $self)->arr(sub { $_[1], $_[0] });
$swap->next($self->first)->next($swap);
}
sub parallel {
my ($self, $arrow) = @_;
$self->first->next($arrow->second);
}
fst f >>> snd g
id g
C C D
f id
A B B
36. &&&
sub split {
my ($self, $arrow) = @_;
(ref $self)->arr(sub {
my $args = [@_];
$args, $args;
})->next($self->parallel($arrow));
}
A A
arr id
arr id
arr <id, id>
f g A arr π
A×A arr π’
A
f &&&g f g
f *** g
arr π arr π’
B
arr π
B×C arr π’
C B B×C C
43. first
a π a×c π’ c
f f×return return
π π’
mb mb×mc mc
φ
m(b×c)
44. package Arrow::Kleisli;
use parent qw/Arrow/;
sub _safe_name($) {
my $name = shift;
$name =~ s|::|__|g;
return "__$name";
}
sub new_class {
my $class = shift;
my ($monad) = @_;
my $class_name = "$class::" . _safe_name($monad);
unless ($class_name->isa($class)) {
no strict qw/refs/;
@{"$class_name::ISA"} = ($class);
*{"$class_name::monad"} = sub { $monad };
*{"$class_name::new_class"} = sub {
die "Don't call the new_class() method from sub classes.";
};
}
return $class_name;
}
sub monad { die "Implement this method in sub classes" }
...
45. sub new {
my ($class, $kleisli) = @_;
bless $kleisli, $class;
}
sub arr {
my ($class, $code) = @_;
$class->new(sub {
$class->monad->unit($code->(@_));
});
}
sub next {
my ($self, $arrow) = @_;
(ref $self)->new(sub {
my @v = @_;
$self->(@v)->flat_map($arrow);
});
}
46. sub first {
my $self = shift;
my $class = (ref $self);
my $monad = $class->monad;
$class->new(sub {
my ($args1, $args2) = @_;
$monad->sequence(
$self->(@$args1)->map(sub {[@_]}),
$monad->unit(@$args2)->map(sub {[@_]}),
);
});
}
47. arr 10
arr π
()
arr 10 &&& arr 2 div
Int×Int Int
arr π’
arr 2
div :: Int×Int ↝ Int = Int×Int → Maybe Int
48. my $class = Arrow::Kleisli->new_class('Data::Monad::Maybe');
my $arrow10 = $class->arr(sub { 10 });
my $arrow2 = $class->arr(sub { 2 });
my $arrow_div = $class->new(sub {
$_[1][0] == 0 ? nothing : just ($_[0][0] / $_[1][0]);
});
my $arrow10_div_2 = $arrow10->split($arrow2)-
>next($arrow_div);
my $maybe = $arrow10_div_2->();
print $maybe->is_nothing ? 'NOTHING' : $maybe->value;
print "n";