In this talk, Adrian Kashivskyy, Netguru iOS Developer, digs into rarely discussed Swift features, such as literal convertibles, interpolation convertibles, pattern matching, reflection and advanced Objective-C bridging.
The document discusses exporting models trained with S4TF to CoreML format in Swift.
It provides code to:
1. Generate Swift data structures from CoreML protobuf definitions to represent models
2. Export an S4TF model defined with layers, weights, and hyperparameters to the CoreML format
3. Compile, make predictions, and perform personalization/training using the exported CoreML model
The personalization process involves:
1. Generating training data
2. Preparing batch providers for input/output
3. Configuring and running a training task on the CoreML model
4. Saving the retrained model
The document suggests automating the export process by extending S
This document discusses JavaScript obfuscation techniques:
- JavaScript obfuscation involves hiding the intended meaning of code to make it confusing and difficult to interpret. An example of obfuscated code is provided.
- Obfuscation can be used to bypass web application firewalls, filters, and hide implementation details. It relies on JavaScript's loosely typed nature and ability to use non-alphanumeric characters.
- The document outlines various obfuscation techniques including using strings, operators, comments, encoding, and interacting with browser objects. It also provides tips on de-obfuscating code by replacing document.write with alert.
The document discusses Groovy concepts including types, operators, objects, structures, closures, control structures, and methods for strings, lists, and maps. It covers topics such as optional syntax, imports, type checking, numbers, strings, GStrings, lists, maps, enums, operators, date/time operations, and closure usage including delegation and implicit parameters. Groovy allows for optional syntax elements, dynamic typing, closures, and methods to operate on common data types like strings, lists, and maps.
The document discusses function templates and class templates in C++. It provides examples of defining function templates that can handle arguments and return values of different data types. It also demonstrates how to define class templates where the class can work with variables of different types. The key points are:
1. Function templates allow functions to handle arguments and return values of different data types. Class templates make a class work for variables of any type instead of a single data type.
2. Examples show how to define template functions that can accept and return values of int, float and other types. Class templates are also defined that can work with objects of int and float types.
3. The document explains how to define member functions for
This document describes the configuration of a payroll structure for Belgian employees following the CP200 structure. It includes:
1) Defining the global parameters for the payroll structure like the scheduled pay period and default working hours.
2) Configuring salary rules to compute payslip lines, including setting conditions for applicability, amount calculation formulas, and accounting details.
3) Examples of specific salary rules like for internet allowance and miscellaneous employer social security contributions. The rules leverage a local evaluation context and BrowseableObjects to access related payslip and employee data.
The document discusses the use of the this keyword in C++ classes. It explains that this represents the address of the object and can be used explicitly or implicitly. It demonstrates using this to check if a parameter passed to a member function is the object itself, and to access data members. It shows that this->, (*this). and just x are equivalent ways to access data members from within member functions. It also provides an example of using this to check if two references are referring to the same object.
Functional programming avoids changing-state and mutable data. Referential transparency means expressions can be replaced without affecting observable behavior. Pure functions only depend on argument values and have no other effects. Case classes provide functionality like equals, hashCode and pattern matching out of the box. Futures allow running blocking operations asynchronously and chaining results with map, flatMap and for comprehensions. Implicits allow type conversions and providing parameters implicitly. Sealed classes allow exhaustive pattern matching of a type hierarchy.
Category theory, Monads, and Duality in the world of (BIG) Datagreenwop
This document discusses democratizing data access and processing through LINQ, Rx, and CoSQL. It introduces LINQ for querying objects and LINQ to SQL for querying tables relationally. It discusses the object-relational impedance mismatch and how Rx makes events first-class. CoSQL is proposed to bring SQL-style querying to NoSQL databases by treating them relationally while keeping their flexibility. Duality principles from category theory are discussed as enabling asynchronous and reactive programming models.
Developer Experience i TypeScript. Najbardziej ikoniczne duoThe Software House
Wiktor Toporek: TypeScript bez wątpienia jest obecnie pewnym standardem wśród obecnych rozwiązań powstałych w JavaScripcie. Ale czy poza byciem dodatkiem który uzupełnia odrobinę dokumentacje i deklaruje kontrakt jakiego typu parametry przyjmują i zwracają np. funkcje jakiejś biblioteki, można wycisnąć z niego coś więcej? Podczas prezentacji wykorzystamy TypeScript do granic możliwości, używając zaawansowanych technik które sprawiają że interfejs naszego API będzie sam kierował używających go developerów na drogę poprawnego użycia, które jest zgodne z naszymi (twórców) założeniami, poprawiając tym samym ich doświadczenia.
Model-Driven Software Development - Static Analysis & Error CheckingEelco Visser
The document discusses static analysis and error checking, including name resolution, type analysis, and checking for consistency. It describes analyzing syntax definitions, performing static analysis to check consistency beyond well-formedness, and reporting errors. Key aspects covered include type analysis, name resolution, reference resolution, and checking constraints.
The document discusses polymorphism in C++. It shows how declaring functions as virtual in a base class and derived classes allows dynamic binding via pointers to the base class. When calling virtual functions through a base class pointer, the function called is determined by the actual object type, not the pointer type, allowing base class pointers to transparently access overridden functions in derived classes. This allows generic treatment of objects through their common base class.
This document summarizes key concepts in Ruby including variables, data types, operators, and expressions. It discusses global, instance, and class variables. It also covers local variables, constants, and pseudo-variables. The document explains string concatenation and interpolation. It provides details on arithmetic, comparison, boolean, and ternary operators. It also discusses ranges and the associativity of operators.
The document describes the objectives of a C++ lab course. It includes:
1. Designing classes with static members, methods with default arguments, and friend functions like a matrix and vector class.
2. Implementing a complex number class with operator overloading.
3. Implementing a matrix class with dynamic memory allocation.
4. Overloading new and delete operators for custom memory allocation.
5. Developing linked list and sorting algorithm templates.
This document discusses functions in C programming. It covers defining and declaring functions, variable scope, parameter passing, inline functions, recursive functions, function arguments, and function applications. It provides examples of function definitions and calls using integers, strings, and arrays. It explains call by value, call by address, and call by reference parameter passing. It also discusses global, private, and static variables and using the scope resolution operator.
Esoft Metro Campus - Diploma in Web Engineering - (Module II) Multimedia Technologies
(Template - Virtusa Corporate)
Contents:
What is a Database?
The Relational Data Model
Relationships
Normalization
Functional Dependency
Normal Forms
DBMS
What is MySQL?
PHP Connect to MySQL
Create a MySQL Database
Connect to Database
Close Database
Create a MySQL Table
Insert Data Into MySQL
Get Last ID
Insert Multiple Records
Prepared Statements
Select Data From MySQL
Update Data in MySQL
Delete Data From MySQL
This document provides an overview of classes in C++. It begins with definitions and concepts related to classes, such as encapsulation and user-defined types. It then provides examples of declaring and defining a simple Time class with attributes like hours, minutes, seconds and methods to set, get, print and change the time. The document also discusses class members, access specifiers, constructors, pointers and references to class objects, and getter and setter methods. It concludes with brief mentions of utility functions, separating interface from implementation, and organizing classes across header and source files.
This document provides an overview of the Java Collections Framework. It discusses key interfaces like Collection, List, Set, Queue and Map. It also covers concrete classes that implement these interfaces like ArrayList, LinkedList, HashSet, HashMap. The document compares different collection classes and their usage. It describes concepts like iterators, fail-fast behavior, wrapper classes and autoboxing/unboxing. Synchronization of collections and usage of equals() and hashCode() methods is also summarized.
This document provides 7 habits for writing more functional Swift code. It discusses avoiding mutability and for-loops in favor of map, filter and reduce functions. It also covers being lazy, currying functions, writing domain-specific languages, and thinking about code in terms of data and functions rather than objects.
The document discusses using static types to validate function arguments and return values in JavaScript. It begins by showing an example of a sum function that validates its elements argument is an array of numbers, throwing errors otherwise. It notes benefits like preventing improper usage, but also drawbacks like problems only showing at runtime. The document then recommends employing type systems like TypeScript as a "body guard" to validate at compile time instead of runtime. It provides examples of TypeScript code validating function arguments and return types to catch errors early.
Razvan Rotari shows an experiment to see how far you can go with binding in C++; Cristian Neamtu follows with an insight on how to achieve this in Rust using Serde.
Dynamic C++ presentation at ACCU 2013 Conference. http://accu.org/index.php/conferences/accu_conference_2013/accu2013_sessions#dynamic_c
Objective-C is a general-purpose, object-oriented programming language that adds Smalltalk-style messaging to the C programming language. It was developed in the early 1980s at Stepstone. In the late 1980s, Objective-C was selected as the main programming language for NeXTSTEP and was later adopted by Apple for Mac OS X and iOS software development. Major features of Objective-C include object-oriented programming, dynamic typing, automatic memory management, and a flexible syntax that supports protocol-oriented programming.
The document discusses property-based testing and how it can be used to test code more effectively than example-based testing. It introduces the concepts of testing properties like commutativity, associativity, and identity to specify requirements at a deeper level. QuickCheck is presented as a tool that generates random test values to check properties, finding bugs more quickly than testing by hand. JUnit Quickcheck and JSVerify are given as libraries for implementing property tests in Java and JavaScript. Potential applications of property testing like testing SDKs and data processing frameworks are outlined.
The idea of augmented reality has been present in our culture for many years now, but just recently it became very noticeable. Thanks to Google Glass project it is recognisable not only among tech enthusiasts but also in mass media. My goal is to show you how to Keep It Super Simple and implement AR with location-based data in a couple of hours. I hope I will give you some food for thought and inspire you to create your own amazing apps that will put our reality into next level.
Developer Experience i TypeScript. Najbardziej ikoniczne duoThe Software House
Wiktor Toporek: TypeScript bez wątpienia jest obecnie pewnym standardem wśród obecnych rozwiązań powstałych w JavaScripcie. Ale czy poza byciem dodatkiem który uzupełnia odrobinę dokumentacje i deklaruje kontrakt jakiego typu parametry przyjmują i zwracają np. funkcje jakiejś biblioteki, można wycisnąć z niego coś więcej? Podczas prezentacji wykorzystamy TypeScript do granic możliwości, używając zaawansowanych technik które sprawiają że interfejs naszego API będzie sam kierował używających go developerów na drogę poprawnego użycia, które jest zgodne z naszymi (twórców) założeniami, poprawiając tym samym ich doświadczenia.
Model-Driven Software Development - Static Analysis & Error CheckingEelco Visser
The document discusses static analysis and error checking, including name resolution, type analysis, and checking for consistency. It describes analyzing syntax definitions, performing static analysis to check consistency beyond well-formedness, and reporting errors. Key aspects covered include type analysis, name resolution, reference resolution, and checking constraints.
The document discusses polymorphism in C++. It shows how declaring functions as virtual in a base class and derived classes allows dynamic binding via pointers to the base class. When calling virtual functions through a base class pointer, the function called is determined by the actual object type, not the pointer type, allowing base class pointers to transparently access overridden functions in derived classes. This allows generic treatment of objects through their common base class.
This document summarizes key concepts in Ruby including variables, data types, operators, and expressions. It discusses global, instance, and class variables. It also covers local variables, constants, and pseudo-variables. The document explains string concatenation and interpolation. It provides details on arithmetic, comparison, boolean, and ternary operators. It also discusses ranges and the associativity of operators.
The document describes the objectives of a C++ lab course. It includes:
1. Designing classes with static members, methods with default arguments, and friend functions like a matrix and vector class.
2. Implementing a complex number class with operator overloading.
3. Implementing a matrix class with dynamic memory allocation.
4. Overloading new and delete operators for custom memory allocation.
5. Developing linked list and sorting algorithm templates.
This document discusses functions in C programming. It covers defining and declaring functions, variable scope, parameter passing, inline functions, recursive functions, function arguments, and function applications. It provides examples of function definitions and calls using integers, strings, and arrays. It explains call by value, call by address, and call by reference parameter passing. It also discusses global, private, and static variables and using the scope resolution operator.
Esoft Metro Campus - Diploma in Web Engineering - (Module II) Multimedia Technologies
(Template - Virtusa Corporate)
Contents:
What is a Database?
The Relational Data Model
Relationships
Normalization
Functional Dependency
Normal Forms
DBMS
What is MySQL?
PHP Connect to MySQL
Create a MySQL Database
Connect to Database
Close Database
Create a MySQL Table
Insert Data Into MySQL
Get Last ID
Insert Multiple Records
Prepared Statements
Select Data From MySQL
Update Data in MySQL
Delete Data From MySQL
This document provides an overview of classes in C++. It begins with definitions and concepts related to classes, such as encapsulation and user-defined types. It then provides examples of declaring and defining a simple Time class with attributes like hours, minutes, seconds and methods to set, get, print and change the time. The document also discusses class members, access specifiers, constructors, pointers and references to class objects, and getter and setter methods. It concludes with brief mentions of utility functions, separating interface from implementation, and organizing classes across header and source files.
This document provides an overview of the Java Collections Framework. It discusses key interfaces like Collection, List, Set, Queue and Map. It also covers concrete classes that implement these interfaces like ArrayList, LinkedList, HashSet, HashMap. The document compares different collection classes and their usage. It describes concepts like iterators, fail-fast behavior, wrapper classes and autoboxing/unboxing. Synchronization of collections and usage of equals() and hashCode() methods is also summarized.
This document provides 7 habits for writing more functional Swift code. It discusses avoiding mutability and for-loops in favor of map, filter and reduce functions. It also covers being lazy, currying functions, writing domain-specific languages, and thinking about code in terms of data and functions rather than objects.
The document discusses using static types to validate function arguments and return values in JavaScript. It begins by showing an example of a sum function that validates its elements argument is an array of numbers, throwing errors otherwise. It notes benefits like preventing improper usage, but also drawbacks like problems only showing at runtime. The document then recommends employing type systems like TypeScript as a "body guard" to validate at compile time instead of runtime. It provides examples of TypeScript code validating function arguments and return types to catch errors early.
Razvan Rotari shows an experiment to see how far you can go with binding in C++; Cristian Neamtu follows with an insight on how to achieve this in Rust using Serde.
Dynamic C++ presentation at ACCU 2013 Conference. http://accu.org/index.php/conferences/accu_conference_2013/accu2013_sessions#dynamic_c
Objective-C is a general-purpose, object-oriented programming language that adds Smalltalk-style messaging to the C programming language. It was developed in the early 1980s at Stepstone. In the late 1980s, Objective-C was selected as the main programming language for NeXTSTEP and was later adopted by Apple for Mac OS X and iOS software development. Major features of Objective-C include object-oriented programming, dynamic typing, automatic memory management, and a flexible syntax that supports protocol-oriented programming.
The document discusses property-based testing and how it can be used to test code more effectively than example-based testing. It introduces the concepts of testing properties like commutativity, associativity, and identity to specify requirements at a deeper level. QuickCheck is presented as a tool that generates random test values to check properties, finding bugs more quickly than testing by hand. JUnit Quickcheck and JSVerify are given as libraries for implementing property tests in Java and JavaScript. Potential applications of property testing like testing SDKs and data processing frameworks are outlined.
The idea of augmented reality has been present in our culture for many years now, but just recently it became very noticeable. Thanks to Google Glass project it is recognisable not only among tech enthusiasts but also in mass media. My goal is to show you how to Keep It Super Simple and implement AR with location-based data in a couple of hours. I hope I will give you some food for thought and inspire you to create your own amazing apps that will put our reality into next level.
Why Would A Programmer Fall In Love With SPA?Netguru
This document discusses the benefits of single page applications (SPAs) and how to create one using Ember.js and Rails. It explains that SPAs allow redrawing parts of a website without additional server requests by using AJAX. Some pros of SPAs are better user experience, support for mobile, and complete control over loading. Potential cons include needing JavaScript and URLs without paths. Frameworks like Ember.js, Angular, and Meteor can help build SPAs. Ember is a good choice as it is fast and uses MVC patterns. The document provides steps for integrating Ember into a Rails app using the ember-cli-rails gem.
This document provides an overview of the Scala programming language. Some key points:
- Scala runs on the Java Virtual Machine and was created by Martin Odersky at EPFL.
- It has been around since 2003 and the current stable release is 2.7.7. Release 2.8 beta 1 is due out soon.
- Scala combines object-oriented and functional programming. It has features like pattern matching, actors, XML literals, and more that differ from Java. Everything in Scala is an object.
This document provides an overview of coding in style with Scala. It discusses embracing expressions over statements, operator notation, using language features to simplify code, favoring higher-order functions, manipulating data with collections, working with asynchronous code and futures, macro programming to transform ASTs, and new features coming in Scala 2.11 like potential modularization and performance improvements. The document encourages idiomatic Scala techniques like favoring expressions, embracing operators, letting the language do work, aiming higher with higher-order functions, and embracing new language features.
The document discusses various idioms in Swift including optional binding with guard let and if let, nil coalescing operator, switch statements with optionals and associated values, closures, lazy properties, and computed properties with property observers. Key idioms covered include using guard let to ensure non-nil arguments, extracting associated values from enums using switch, initializing immutable variables with closures, and updating for loops to the Swift 3 syntax.
From Java to Scala - advantages and possible risksSeniorDevOnly
Oleksii Petinov during his presentation gave the audience the overview of his vision of Scala pros and contras. In his vision Scala smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive.
There is admittedly some truth to the statement that “Scala is complex”, but the learning curve is well worth the investment.
The document defines a LineChart class that extends the Chart class. The LineChart class constructor calls the parent constructor and draws the chart. The draw method builds a line chart from the series data using an SVG library, appends it to the canvas, and adds statistics for each data point by calling the parent addStats method. The getSerieData static method calculates max and average values for a data series. The class is exported for use in other code.
The document introduces Scala and provides an overview of Scala basics including variables, functions, objects, classes, traits, pattern matching, for-comprehensions and more. It also discusses Scala's capabilities for generic programming, lazy evaluation, and integration with Java. Examples are provided throughout to demonstrate Scala concepts.
The document discusses techniques for writing readable code, including:
- Code should be easy for others to understand by using clear naming conventions, comments only where needed, and simple control flow.
- Surface-level readability can be improved through specific and unambiguous naming, consistent formatting, and avoiding overly long or generic names.
- Loops and logic should read like natural language to make the flow of execution easy to follow. This includes ordering conditional statements positively first and breaking down complex expressions.
- Code can be made more scannable through proper indentation and grouping of related lines together into blocks. Overall the goal is to minimize the time it takes someone new to understand the code.
(How) can we benefit from adopting scala?Tomasz Wrobel
Scala offers benefits from adopting it such as increased productivity through concise and expressive code, static typing with type inference, support for both object-oriented and functional programming paradigms, and interoperability with Java. Switching from Java to Scala involves some changes like using val for immutable variables and var for mutable, but overall the syntax is quite similar which eases the transition.
Martin Odersky received his PhD in 1989 and began designing Scala in 2001 at EPFL. Scala is a functional and object-oriented programming language that runs on the Java Virtual Machine. It is concise, high-level, statically typed, and supports both immutable and mutable data structures. Many large companies use Scala including LinkedIn, Twitter, and Ebay. Scala supports both object-oriented programming with classes, traits, and objects as well as functional programming with immutable data, higher-order functions, and algebraic data types.
C++ is a middle-level programming language developed by Bjarne Stroustrup starting in 1979 at Bell Labs. C++ runs on a variety of platforms, such as Windows, Mac OS, and the various versions of UNIX.
This reference will take you through simple and practical approach while learning C++ Programming language.
The Ring programming language version 1.7 book - Part 48 of 196Mahmoud Samir Fayed
This document provides code examples and documentation for Ring's web library (weblib.ring). It describes classes and methods for generating HTML pages, forms, tables and other elements. This includes the Page class for adding common elements like text, headings, paragraphs etc., the Application class for handling requests, cookies and encoding, and classes representing various HTML elements like forms, inputs, images etc. It also provides an overview of how to create pages dynamically using View and Controller classes along with Model classes for database access.
The document provides an overview of several C++ concepts including basic syntax, compiling programs, argument passing, dynamic memory allocation, and object-oriented programming. It demonstrates simple C++ programs and functions. It discusses best practices like separating interface and implementation using header files. It also introduces C++ standard library features like vectors and the importance of avoiding unnecessary copying.
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
This document provides an overview of various JavaScript concepts and techniques, including:
- Prototypal inheritance allows objects in JavaScript to inherit properties from other objects. Functions can act as objects and have a prototype property for inheritance.
- Asynchronous code execution in JavaScript is event-driven. Callbacks are assigned as event handlers to execute code when an event occurs.
- Scope and closures - variables are scoped to functions. Functions create closures where they have access to variables declared in their parent functions.
- Optimization techniques like event delegation and requestAnimationFrame can improve performance of event handlers and animations.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining case classes and actors for messages. It summarizes that Scala is a pragmatically oriented, statically typed language that runs on the JVM and has a unique blend of object-oriented and functional programming. Functional programming concepts like immutable data structures, functions as first-class values, and for-comprehensions are demonstrated with examples in Scala.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
This document discusses Scala and its features. It provides an example of building a chat application in 30 lines of code using Lift framework. It also demonstrates pattern matching, functional data structures like lists and tuples, for comprehensions, and common Scala tools and frameworks. The document promotes Scala as a pragmatic and scalable language that blends object-oriented and functional programming. It encourages learning more about Scala.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining messages as case classes, and implementing a chat server and comet component. It then summarizes that Scala is a pragmatically-oriented, statically typed language that runs on the JVM and provides a unique blend of object-oriented and functional programming. Traits allow for code reuse and multiple class inheritances. Functional programming concepts like immutable data structures, higher-order functions, and for-comprehensions are discussed.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining messages as case classes, and implementing a chat server and comet component. It then summarizes that Scala is a pragmatically-oriented, statically typed language that runs on the JVM and provides a unique blend of object-oriented and functional programming. Traits allow for static and dynamic mixin-based composition. Functional programming concepts like immutable data structures, higher-order functions, and for-comprehensions are discussed.
Defining DSL (Domain Specific Language) using RubyNetguru
The document discusses domain-specific languages (DSLs). It defines a DSL as a computer language specialized for a particular application domain. It provides examples of DSLs like Perl, HTML, MATLAB, VHDL and SQL. Simpler DSLs used within a single application are sometimes called mini-languages. The document then discusses using DSLs in Ruby on Rails migrations and RSpec testing and provides an example survey DSL code in Ruby. It considers the benefits of DSLs in terms of readability and learnability but also notes potential downsides like favoring convenience over simplicity.
How To Build Great Relationships With Your ClientsNetguru
This document provides information about Netguru, a full stack, remote software services company. It discusses how Netguru builds great relationships with clients through transparent communication, trust, and best practices like advising clients rather than just asking questions. It also outlines Netguru's approach to project management for remote teams, including tools used and practices for keeping projects on deadline like estimating ticket sizes and tracking iterations.
This document provides guidance on conducting effective agile retrospectives. It discusses that retrospectives should be brief periods at the end of each sprint for a team to reflect on how they are doing and find ways to improve. Key aspects of effective retrospectives include creating a safe environment for open feedback, focusing on incremental improvements, gathering team input through techniques like post-its, and planning and following up on action items to implement changes. The goal is for retrospectives to deliver value by addressing real issues rather than being boring or senseless meetings.
Ruby & Rails Overview presented by Michal Poczwardowski on 11/05/15. Ruby is a dynamic, object-oriented language that is elegant and easy to read. Rails is a web application framework built on Ruby that follows conventions over configurations. It uses the MVC pattern with models, views, controllers, and routes to quickly develop powerful websites and applications. The presentation demonstrated core Ruby concepts and how to build a basic Rails application.
Communication With Clients Throughout The ProjectNetguru
This document discusses various types of challenges that can occur when working with clients and team members on projects. It identifies 7 types of difficult personalities or situations: 1) the person who thinks they know best and does not value others' ideas, 2) the quiet person who does not provide much feedback, 3) the overly technical person who expects all others to have the same level of technical knowledge, 4) the indecisive person who provides many ideas but does not commit to a direction, 5) the person who treats the project as the most important thing and expects constant communication, 6) the overbearing boss who does not accept feedback or input from others, and 7) solutions for dealing with each type of challenge are requested.
Slides by Błażej Hadzik, Ruby on Rails developer at @netguru covering intro to Ruby on Rails.. Originally created for the RoR workshop at Silesian University of Technology.
Estimations are important for planning, budgeting, and communicating with clients. However, they are inherently uncertain since there are often unknown variables that can impact timelines. The document provides guidance on how to estimate tasks and projects in a way that accounts for this uncertainty. Key recommendations include doing research, asking others for input, using techniques like planning poker, adding buffer time to estimates, and being transparent about risks and potential delays. The goal is to provide useful information to clients while also setting appropriate expectations about the limitations of estimates.
Programming Paradigms Which One Is The Best?Netguru
The document discusses different programming paradigms and which one may be best. It describes object-oriented programming, imperative programming, and declarative programming. For each, it provides examples in code to illustrate the paradigm. It argues that while imperative programming is popular and easy, it can be error-prone and not scale well. Declarative programming is described as simpler, safer, and more scalable by declaring intent rather than implementation. In the end, the document concludes that no single paradigm is best, and that they are often used together in practice.
CSS architecture: How To Write Clean & Scalable CodeNetguru
1. Structure CSS code into small, reusable pieces like components and mixins. Define a style guide and use Sass features like variables, extends and mixins.
2. Determine supported browsers and use a preprocessor like Autoprefixer to avoid browser prefixes.
3. Organize CSS into folders for components, views, and a framework to structure application styles. Import files in a logical order.
This document provides an overview of Ruby and Ruby on Rails. It discusses that Ruby is a dynamic, object-oriented programming language and Rails is a web application framework built on Ruby. It also summarizes key aspects of Rails like Active Record for managing database access and interactions, the MVC framework and conventions, and testing practices like test-driven development.
This document provides a template for what a project README file should contain, including sections for general information about the project, the technologies used, how to set up the project locally, how to develop and test the project, and notes for common problems, access to staging environments, and updating the README file. The goal is to provide all essential information for understanding and working with the project.
Version control is an essential tool for software development that allows tracking changes to files, restoring previous versions, and collaborating through branches. Git is a popular version control system that allows initializing a local repository, cloning existing repositories from remote servers, committing file changes with messages, adding a remote origin such as GitHub, and pushing code to that remote origin to collaborate.
This document provides an overview of Ruby and Ruby on Rails. It discusses that Ruby is a dynamic, object-oriented programming language, and Rails is a web application framework built on Ruby. It also covers Ruby and Rails features like metaprogramming, the MVC pattern, gems, testing, best practices, and community resources. The goal is to provide an introduction to the Ruby and Rails ecosystem to help developers get started.
Slides for the talk by Wiktor Schmidt at Venture Across conference (Frankfurt Oder, Oct 7, 2014). More in the follow up post: https://netguru.co/blog/lesson-learned-working-with-teams.
The document discusses various front-end development tools including HTML preprocessors like HAML and Slim, CSS preprocessors like Sass and SCSS, and the CoffeeScript programming language. It provides examples and comparisons of the syntax of these tools, outlines pros like cleaner and more concise code, and notes that some may require learning a new syntax.
This document discusses using OOScss architecture for Rails applications. It proposes dividing CSS into components, modules, and layouts. Placeholder selectors from Sass can be used to create reusable CSS modules without code bloat. Examples show issues with directly using Bootstrap for complex designs. Following OOScss principles like identifying reusable objects, using semantic HTML, and separating styles from content can help build custom designs on top of frameworks like Bootstrap more effectively.
The document discusses CoffeeScript, a programming language that compiles to JavaScript. It notes that JavaScript is the future but introduces CoffeeScript as an alternative with features like whitespace formatting, JSLint compatibility, Ruby-style syntax for expressions, classes, and flow control. It provides links to related JavaScript libraries and frameworks like Underscore.js, Backbone.js, and tools for building iPhone apps with CoffeeScript.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
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Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
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Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
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Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
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How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
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9. String interpolation
enum Byte: UInt8 {
case Zero = 0
case One = 1
}
let string = "(Byte.Zero)" // "Byte.Zero"
// would be nice
let string = "(Byte.Zero)" // "0"
1.0
12. What are patterns?
‣ Enumeration cases
‣ Single equatable values
‣ Ranges and intervals
‣ Value bindings
‣ Type casts
‣ func ~= <T, U> (lhs: T, rhs: U) -> Bool
‣ Tuples of anything above
14. What are patterns?
‣ Enumeration cases
‣ Single equatable values
‣ Ranges and intervals
‣ Value bindings
‣ Type casts
‣ func ~= <T, U> (lhs: T, rhs: U) -> Bool
‣ Tuples of anything above
15. Where do we use them?
‣ Switch statements
‣ If-let bindings
‣ For-in loops
‣ Catch statements
16. case
let point = (1, 2)
switch point {
case (0, 0):
println("origin")
default:
println("arbitrary point")
}
1.0
17. case let where
let point = (3, 4)
switch point {
case let (x, y) where x == y:
println("point on x = y line")
default:
println("arbitrary point")
}
1.0
18. if let where
let point: (Int, Int)? = maybePoint()
if let (_, y) = point where y > 0 {
println("point above x axis")
}
1.2
19. for in where
let points = [
(1, 2),
(-3, 4),
(5, -6),
(-7, -8),
(9, 10)
]
for (x, y) in points where x > 0 && y > 0 {
println("point in 1st quadrant: ((x), (y))")
}
1.2
20. if case
let point = (5, 6)
let (width, height) = (
Int(UIScreen.mainScreen().bounds.width),
Int(UIScreen.mainScreen().bounds.height)
)
if case (0 ... width, 0 ... height) = point {
print("point on screen")
}
2.0
21. if case let where
let point = (7, 8)
if case let (x, 1 ..< Int.max) = point where x < 0 {
print("point in 2nd quadrant")
}
2.0
22. if case let where
switch subject {
case pattern where condition:
// becomes
if case pattern = subject where condition {
// multiple cases not yet supported
if case pattern1, pattern2 = subject { // compiler error
2.0
23. for case let in where
let points: [(Int, Int)?] = maybePoints()
for case .Some(let (x, y)) in points where x < 0 && y < 0 {
print("point in 3rd quadrant: ((x), (y))")
}
2.0
24. for case let in where
for element in subject {
if case pattern = element where condition {
// becomes
for case pattern in subject where condition {
// multiple cases not yet supported
for case pattern1, pattern2 in subject { // compiler error
2.0
37. Available bridging methods
‣ Inherit from Objective-C classes
‣ @objc attribute
‣ Bridging headers
‣ …and that’s basically it
38. Or is it?
@interface NSArray<Element> : NSObject // objective-c class
@end
struct Array<Element> { // generic swift struct
}
let swiftArray: [Int]
let objcArray = swiftArray as NSArray // no problem
2.0
39. Or is it?
@interface NSArray : NSObject
@end
struct Array<Element>: _ObjectiveCBridgeable {
}
let swiftArray: [Int]
let objcArray = swiftArray as NSArray
2.0
43. Bridgeable
let objcPoint = XYZPoint(x: 1, y: 2)
if let swiftPoint = objcPoint as? Point {
// that's right
}
let objcPoint = XYZPoint(x: 3, y: 4)
let swiftPoint = objcPoint as Point // yeah
let swiftPoint = Point(x: 5, y: 6)
let objcPoint = swiftPoint as XYZPoint // hell yeah
let point: XYZPoint = Point(x: 7, y: 8) // mind: blown
2.0
45. How to learn the gems
‣ Carefully read Xcode release notes
‣ Follow right people on Twitter
‣ Study Swift module interface
‣ Use LLDB type lookup
‣ Experiment in playgrounds