Improve Python Performance with Vectorization Techniques
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Improve Python Performance with Vectorization Techniques
235.6K views7 months ago
TikTokpicklerickursion
parsing a 300gb json file 8 different ways ⚡ one crashed instantly. one runs on a gpu. one finishes 270M records in under a minute which one would you pick? #programming #python #coding
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parsing a 300gb json file 8 different ways ⚡ one crashed instantly. one runs on a gpu. one finishes 270M records in under a minute which one would you pick? #programming #python #coding
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Why Git Is Dying — Will Git Be Replaced Soon?
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Why Git Is Dying — Will Git Be Replaced Soon?
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Coding every PD array to determine its predictive value | Part 2: Fair Value Gaps. I coded fair value gaps on 5 years of Nasdaq data to see if they actually have any predictive value. 99% of them fill within minutes (which tells you nothing), tapping the gap barely beats random and doesn’t survive costs in any session, and the one entry that actually holds up isn’t what any guru teaches. In this series, we are going to code every one of ICT’s canonical PD arrays to determine its predictive value
4:20
Coding every PD array to determine its predictive value | Part 2: Fair Value Gaps. I coded fair value gaps on 5 years of Nasdaq data to see if they actually have any predictive value. 99% of them fill within minutes (which tells you nothing), tapping the gap barely beats random and doesn’t survive costs in any session, and the one entry that actually holds up isn’t what any guru teaches. In this series, we are going to code every one of ICT’s canonical PD arrays to determine its predictive value
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Mastering Sets in Python: 7 Essential Techniques
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Mastering Sets in Python: 7 Essential Techniques
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Python para frontend suena innecesario… hasta que te das cuenta que te pagan más por saberlo. Muchos devs frontend escuchan “Python” y piensan: backend, bases de datos, servidores y sufrimiento. Pero la realidad es más simple: Python se parece más a JavaScript de lo que crees. Si ya haces frontend, ya traes como el 70%: variables, funciones, loops, arrays/listas, mapas/filtros… misma lógica, otra sintaxis. ¿Y por qué aprenderlo siendo frontend? ✅ Automatizar tu vida (scripts, tareas repetitivas,
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Python para frontend suena innecesario… hasta que te das cuenta que te pagan más por saberlo. Muchos devs frontend escuchan “Python” y piensan: backend, bases de datos, servidores y sufrimiento. Pero la realidad es más simple: Python se parece más a JavaScript de lo que crees. Si ya haces frontend, ya traes como el 70%: variables, funciones, loops, arrays/listas, mapas/filtros… misma lógica, otra sintaxis. ¿Y por qué aprenderlo siendo frontend? ✅ Automatizar tu vida (scripts, tareas repetitivas,
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✅ Explanation: - Most people check even or odd using %. -This approach uses bitwise logic array mapping instead. 🔹 How it works (simple): 1. n & 1 checks the last bit of the number. - 0 → even - 1 → odd 2. That result (0 or 1) is used as an array index. 3. isEven[0] gives even, isEven[1] gives odd. 4. No if, no %, no switch. ✅ Why this is correct: - Works for all integers - Bitwise check is fast and reliable - Array maps the result cleanly 📌 Final takeaway: In C, bits can replace conditions. .
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✅ Explanation: - Most people check even or odd using %. -This approach uses bitwise logic array mapping instead. 🔹 How it works (simple): 1. n & 1 checks the last bit of the number. - 0 → even - 1 → odd 2. That result (0 or 1) is used as an array index. 3. isEven[0] gives even, isEven[1] gives odd. 4. No if, no %, no switch. ✅ Why this is correct: - Works for all integers - Bitwise check is fast and reliable - Array maps the result cleanly 📌 Final takeaway: In C, bits can replace conditions. .
7.8K views5 months ago
TikTokpasha_dev_
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Membalas @ittology.official The reason I chose OpenCV over MPV for this ASCII video conversion project is the significantly higher flexibility it offers across many of my custom projects. Unlike MPV, which functions strictly as a media player optimized for standard display output, OpenCV provides direct low-level access to raw pixel matrices. This flexibility allows the exact same codebase to be easily adapted for different use cases. For instance, switching from processing an MP4 video file to
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Lists vs Arrays: Understanding the Key Differences
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Understanding Arrays in Programming: A Quick Guide
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Python Project Day 17 | Strings and String Methods In this Python beginner tutorial, you will learn how to work with strings, manipulate text, and use common string methods in Python. In this video, we cover: Understanding Strings in Python Finding String Length Accessing Individual Characters Converting Text to Uppercase Converting Text to Lowercase Using Title Case Replacing Text with replace() Removing Spaces with strip() Finding Text with find() String Slicing Basics Slicing from Start Posit
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Acelera cálculos en Python con CuPy y GPU
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Bubble Sort Algorithm Explained in Python
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NumPy Arrays Explained | 1D, 2D & 3D Arrays in Python 🚀 #youtube #shorts
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We’re leveling up! 🛑 In Episode 4 of The Zero-to-Maker Project, I’m moving from a single blinking LED to a 10-segment LED Bar Graph. I’ll show you why you shouldn't hardcode every pin and how to use Python Arrays and For Loops to control massive amounts of hardware with just a few lines of code. This is how we build the
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Numpy 2D Array Indexing Explained
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Master Data Science in One Month: Enroll Today!
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