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The Pascal Programming Language Pascal is an imperative and procedural programming language, which is widely used for teaching, and is also used for professional and commercial programming. Pascal was developed in the late 1960s, and was inspired by the programming language ALGOL, which was used for scientific computing. The language was named after the French mathematician and philosopher Blaise Pascal. Pascal is designed to be easy to understand, and is widely used in computer science education. It is also used by professional programmers, as it is a powerful language, and is well suited for commercial programming. The language is widely used in the development of software, databases, and other applications. Pascal is a statically typed language, which means that the type of data must be declared before it can be used. This ensures that data is not misused, and makes the code more reliable. The language is also strongly typed, which means that the type of data must be compatible with the operations performed on it. This makes the code easier to read and debug. The language also supports object-oriented programming, which makes it suitable for developing complex applications. Pascal is widely used in the development of software for various platforms, including Windows, Mac, and Linux. It is also
In my previous two articles, A Short and Direct Walk with Pascal’s Triangle and A Quick and Clear Look at Grid-Based Visibility, we saw how easy it is to generate decent-looking travel paths and…
Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. He is a member of the Forbes Technology Council. Bornet is also a senior executive with 20+ years of experience […]
The following poem, created using Google Gemini AI :robot:, chronicles my journey into the world of ergonomic DIY keyboards. It documents my (evolving) preferences and opinions, as well as a curated list of resources that I have found useful over the last three years. :keyboard: Warning :keyboard: The following verses are likely entirely incomprehensible for normal people, and could be interpreted as a sign of my descent into madness. :scream: So, I guess, the main purpose of this is to serve as a time capsule for my future self. :shrug: Clackety-thock goes the symphony, My fingers dance on keycaps, wild and free. Wrist aches whisper, thumbs start to cry, But QMK and ZMK, my coding lullaby. No blueprints of my own, I'll openly declare, Open source is my love, a passion I readily share. From forty-two keys to thirty-four, I roam, Ergonomics my mantra, soldering my ohm. Though productivity's my aim, it's a clever disguise, For distraction's the siren, with each soldered wire's ties. Miryoku's magic, dual functions divine, (Secrets unveiled, just click on these lines!) Colemak's my layout, a personalized twist, With one-shot shift, number layer, nav's quick kiss. But Backspace, the wanderer, roams with a whim, While Enter, Tab, and Esc are lost on a limb. Thumb pain be banished, a firmware's embrace, One-shot keys take flight, a swift, thumb-saving chase. (Pascal's insights, a guiding star's grace,) No more held keys, just a gentle tap's space. Dynamic macros, QMK's gift so grand, Repetitive tasks vanish, like castles in sand. Repeat key's rhythm, combos untold, Misfires banished, a legend of old. Macros at the ready, each keystroke's delight, My keymap's a symphony, shining so bright. (But heed this warning, before you explore,) (This snapshot's outdated, there's always more.) 3D prints and soldering, a tinkerer's glee, Feather-light switches, a soft melody. Or weighty and firm, a thocky address, With key-loving comrades, fueling this clacking success. Toy sheep used for keyboard tenting. My first month with the Colemak keyboard layout: ~One-month typing speed progression: Transitioning from QWERTY to Colemak, with a brief week using the "Tarmak" intermediate layouts.
Each day, more than 100 new computer science and machine learning papers are listed on arXiv. Though the works are not necessarily peer-reviewed before listing, this still is an enormous wealth of…
My first contact with machine learning was classic machine learning (think support vector machines, k-means). Back then, I found the topic rather boring: too much theory, can’t build anything with…