Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 775 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 815-o'rinni va Italiya mintaqasida 87-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 142 775 obunachiga ega bo‘ldi.

13 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 316 ga, so‘nggi 24 soatda esa -26 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Post qamrovi: Har bir post o‘rtacha 8 753 marta ko‘riladi; birinchi sutkada odatda 2 559 ta ko‘rish yig‘iladi.
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“Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 14 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

142 775

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8 753

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Harvard CS50 – Free Computer Science Course (2023 Edition) Here are the lectures included in this course: Lecture 0 - Scratch Lecture 1 - C Lecture 2 - Arrays Lecture 3 - Algorithms Lecture 4 - Memory Lecture 5 - Data Structures Lecture 6 - Python Lecture 7 - SQL Lecture 8 - HTML, CSS, JavaScript Lecture 9 - Flask Lecture 10 - Emoji Cybersecurity https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

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🖥 Searchable table in Python using Flet This tutorial will show you how to create an interactive table using Flet. Moreover, with search and filtering functions, which is very cool 🔥 🔜 Step by step tutorial

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Direct-a-Video: driving Video Generation Direct-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin. 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅ Decoupling camera/object motion in gen-AI ✅ Allowing users to independently/jointly control ✅ Novel temporal cross-attention for cam motion ✅ Training-free spatial cross-attention for objects ✅ Driving object generation via bounding boxes Paper: https://arxiv.org/pdf/2402.03162.pdf Project: https://direct-a-video.github.io/

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A library for building fast, reliable and evolvable network services 💻 https://github.com/cloudflare/pingora/tree/main

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Use KeePassXC to sign your git commits 🔗 https://code.mendhak.com/keepassxc-sign-git-commit-with-ssh/