Blog Articles - page 2
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Organize and Index Your Screenshots (OCR) on macOS
Screenshots contain text, text that should be searchable, as finding a screenshot later is the whole point of creating it.
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Block comments on the web
Comments on the web can be toxic, and a waste of time. Here’s how to block them…
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Generic IOApp alternative
Read article →IOAppalternative, for Cats Effect v2, that can work with any effect type. -
Effect Runtime
Defining a “runtime” for Cats-Effect v2 that provides the underlying environment necessary (i.e.
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When My World Vanishes
It’s me, facing a hard to solve problem. It’s a difficult one, and I’m having problems focusing. I make some coffee, I move to another room, and I’m already thinking of running to some coffee shop, forgetting that we’re still in a pandemic.
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Scala Snippet: Unlawful Effects
Unlawful/independent version of
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Running integration tests, with Scala + sbt
Scala sbt setup for separating unit tests from integrationt tests.
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Scala Snippet: Flow/Processor to Effect
Converts an Akka Streams
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Privilege
Today it’s my 38ᵗʰ birthday. I was born into privilege. Other people aren’t as lucky.
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Scala Snippet: Safe Passwords
For security, it’s not a good practice to keep sensitive data in RAM indefinitely.
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Sample Error Hierarchy in Scala
Mimicking the HTTP error codes.
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Snippet: turn on JVM debugging in sbt
Remote debugging can be used to debug externally executed programs, useful to activate in
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TypeScript Sample: Flow Sensitive Typing
Demonstrating Typescript’s untagged union types.
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Retry Failing Tasks with Cats and Scala
Retry actions ending in failure via simple functions and Typelevel Cats type-classes.
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Scala Snippet: Cats-Effect Resource to Reactive Streams
Cats-Effect’s Resource can’t be converted directly into a Reactive Streams Publisher. Beware!
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ExecutionContext Must Be Stack-safe
Sample demonstrating that directly executing runnables in your
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Fatal Warnings and Linting in Scala
Strengthen your code via
Read article →-Xfatal-warnings, linting and piss off your colleagues with useful compiler errors. -
Parallelizing Work via a JavaScript Semaphore
Simple and very effective implementation of a Semaphore, used for easily parallelizing work in JavaScript/TypeScript.
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Blog Updates
Dusted off my website, with big plans ahead.
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Python Snippet: Send Email via SMTP
Python snippet for sending an email via SMTP.
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Shell Snippet: Encrypt Files with AES256
Quickly encrypt a message or a file for sending to your colleagues over unsecure messengers (Slack, etc).
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Haskell Snippet: Sierpinski Triangle
A fun Haskell sample that draws a Sierpinski triangle via ASCII characters.
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Regexp Replacement via Function in Java/Scala
Replace in strings via regexp, with the replacement being calculated via a function.
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Async Queue in TypeScript
Production-ready, Promise-enabled async queue.
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Scala Snippet: Blocking Task
Monix Task implementation for wrapping (suspending) blocking I/O such that it can be canceled. s Imported from gist.github.com.
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Scala's isInstanceOf is an Anti-Pattern
Scala has a much better way of discriminating between types. Scala has implicit parameters, with which you can describe type classes.
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On Bifunctor IO and Java's Checked Exceptions
Bifunctor IO is a hot topic in the Scala community. Herein I’m expressing my dislike for it, as it shares the problems of Java’s Checked Exceptions.
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In Defense of OOFP
OOP versus Type Classes, exemplified and in defense of the Scala collections redesign.
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Minitest: Zero Crap Scala Testing Library
Minitest is my minimal testing library that I’ve been using for developing Monix.
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What is Functional Programming?
FP is programming with (mathematical) functions, there’s no room for interpretation.
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Scala Days 2017 — Monix Task
My presentation from Scala Days 2017, Chicago (April) and Copenhagen (June), on the design of Monix’s Task.
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Introduction
JavaScript’s Promise leaks memory in recursive loops and what you can do about it.
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Automatic Releases to Maven Central with Travis and SBT
Enabling automatic releases for your open source Scala project with Travis and SBT.
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Functional Programming Inception (Presentation)
My presentation from the Bucharest FP meetup.
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Asynchronous Programming and Scala
Asynchrony is everywhere and it subsumes concurrency. This article explains what asynchronous processing is and its challenges.
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Fixing scala.collection.Iterator
The venerable Iterator interface we all love and hate could use some improvements. This is a follow-up to my previous article, in which I talked about getting rid of Traversable because the Iterable and Iterator duo is enough for Scala’s standard library.
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Why Scala's Traversable Is Bad Design
Traversable was a design mistake, is redundant and we should remove it.
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Add to NewsBlur Bookmarklet
An Add to NewsBlur bookmarklet that you can copy-paste for iPhone/iPad/Android usage
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Monix Task vs Scalaz vs Future, The Benchmark
The Task in Monix has really good performance. See the benchmark.
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Akka & Monix - Typelevel Summit, Oslo 2016
Presentation from Typelevel Summit, Oslo, 2016, about my experience in dealing with modeling behavior by processing asynchronous soft-real time signals using Akka & Monix.
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Monix Task - flatMap(Oslo) 2016
My presentation from flatMap(Oslo) 2016. It’s about the Monix Task, a new type for dealing with asynchronous processing on top of Scala and Scala.js.
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Avoid Javaisms: Mocks, Stubs, DI is Code Smell
Such practices represent clear signals for code smell, meaning code that sucks as a symptom of a bigger problem, one of design. The lumping together of these practices is not an accident, as they are related.
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Monifu vs Akka Streams
Back in June I attended Scala Days in Amsterdam and participated at a talk by Mathias Doenitz on The Reactive Streams Implementation Landscape. It was a good talk, yet I felt a little bias towards Akka Streams, which is natural coming from somebody that is contributing to Akka, but let me give you the perspective from the other side.
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Scala Best Practices
This is a collection of best practices for Scala, something to get you started.
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Resources for Learning Scala
Getting started with a new programming language shouldn't be hard, however navigating the web for resources on getting started with Scala can be a doubting experience, as many such resources are either out of date, or wrong, or both. This post is intended to reduce the noise for my colleagues and other people that are interested in Scala development.
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Towards a Better AtomicReference
The AtomicReference is like a container for a volatile reference. Usage of volatile references is useful for the issue of visibility in concurrent code, however AtomicReference also supports the atomic Compare-and-Swap operation (CAS for short), which is the pillar of all non-blocking data-structures and algorithms built on top of the JVM, including complex ones like the ConcurrentLinkedQueue, an implementation based on the Michael-Scott non-blocking queues.
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JVM Multithreading: Monitor Locks and Visibility
Multithreading is a pain to deal with. While interviewing developers, I noticed that surprisingly many don't have knowledge about this topic and I can't blame them really. However, in this day and age, for some problem domains building highly-concurrent architectures may be paramount to the success of demanding projects. As you'll see, there are many high level solutions, but I personally prefer to learn with a bottom up approach, starting from the basic and unsafe primitives, as understanding the problem is always the first step to real solutions.
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Notes On JavaScript Client-side Development
Client-side JavaScript development can be quite overwhelming, even for senior developers. I’m describing here what I did in a recent piece of client-side functionality to keep my sanity. This interface I’m talking about is served on mobile-phones, so it must be pretty bloat-free, adding salt over injury.
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On Scala, Functional Programming and Type-Classes
I’ve been following the excellent Coursera course on Functional Programming Principles in Scala led by Martin Odersky. This was not my first encounter with Scala as I’ve been using it including for my day job. In this article I’m describing my impressions of the Scala programming language and why I fel in love with it.
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How To Build a Naive Bayes Classifier
In machine learning a classifier is able to predict, given an input, a probability distribution over a set of categories. Some use-cases for building a classifier: spam detection, for example you could build your own Akismet API, automatic assignment of categories to a set of items, automatic detection of the primary language (e.g. Google Translate), sentiment analysis, which in simple terms refers to discovering if an opinion is about love or hate about a certain topic.
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