РАЗГОНЯЙСЯ — летний челлендж на CodeRun стартовал

Присоединяйся к CodeRun Summer Challenge — залетай в топ, скипай контест и получай призы от Яндекса.

Как всё устроено:
— 15 задач от лёгких к сложным
— выходят по 5 штук каждые 5 дней
— общий зачёт + 11 лидербордов по языкам

Стартовать можно в своём направлении разработки. Челлендж длится с 1 по 17 июля.

Разгоняй свои решения до предельных скоростей
Performance engineering — главный навык челленджа. Быстрый и эффективный код даёт больше баллов — важно не просто решить, решить эффективно.

Призы:
— топ-1 по каждому из 11 языков → мерч-пак CodeRun
— топ-3 общего зачёта → коллекционный лего-набор
— топ-200 общего зачёта → скип контеста + пробное интервью в Яндекс

Участвуй: coderun.yandex.ru/seasons/2026-summer

2 days ago started solving coderun problems, problems are not easy, require strong optimization, especially the last, fifth one:
https://coderun.yandex.ru/seasons/2026-summer/tracks/common/problem/the-map-of-hot-spots
Researched topic of problem and which data structure aligns with problem condition:
Fenwick tree 2d + offline processing (sorting)
Opened bunch (nearly 10) tabs and looked up similar problems and their solution approach, struggled till night, the next morning, finally after long debugging process, solved problem. There was also mentioned about merge sort tree, but didn't come up with idea how i can apply it to solve this problem.
I can conclude about fenwick tree in the following:
It's very alike to prefix sum structure,
I've figured i understood wrongly about fenwick, so i can't write it here, but if it is interesting, you can look at cp page about fenwick: https://cp-algorithms.com/data_structures/fenwick.html
All the thing i accomplished to solve problem faster was just taking at look what problems can it solve, remembered implementation (after solving enough amount of problems you realize yourself why it's written like this or try to understand), so, in short, it's black box method here (https://www.youtube.com/watch?v=RDzsrmMl48I)

P.S: Previously, i read about Fenwick and saw it's implementation, maybe it can mitigate fear from solving this problem.

Sometimes, not everything works as you wish, try, i need to learn from mistakes, mistakes can tell a lot of things where you lack, but i'm a very lazy person, and it requires analysis much enough 😅

#dasturlash

💻 Dasturlashni haqiqiy tizimlarni yaratish orqali o'rganing — 80+ bepul kurslar.

Ship That Code platformasida murakkab texnologiyalarni amaliyot orqali o'rganishingiz mumkin. Bu yerda Git va Redis'dan tortib Database, Game Engine va hatto Operating System Kernel'ni noldan yaratishni o'rganasiz.

Platforma quyidagi imkoniyatlarni taqdim etadi:
• 80 dan ortiq interaktiv kurs.
• 14 ta karyera yo'nalishi.
• Kodni brauzerning o'zida yozish va ishga tushirish.
•Yozgan kodingizni AI orqali avtomatik tekshirish va uni yaxshilash bo'yicha tavsiyalar olish.

🛸Doʻstlaringizga ham ulashishni unutmang!

@webmakon

Ish tajribasi yòq bòlsa ana sizlarga lifehack )

🚀 Meet the Speakers of Data Fest 2026

Data Fest 2026 brings together experts from H&M Group, Dropbox, Google, and DOMO to share practical insights on data, AI, analytics, and software engineering.

🎤 Firdavs Alinazarov
Microsoft Fabric & Power BI Technology Leader at H&M Group

AI & Agentic Analytics in Power BI and Fabric: Essential Skills Data Analysts Must Master

🎤 Otabek Nurmuhammad
Building Infrastructure Inference for AI Agents | Ex-Staff Software Engineer @ Dropbox, Google | Co-Founder @ 42.uz

Don’t GPT Everything

🎤 Ibrokhim Jalolov
Data/Software Engineer at DOMO

Analyze Data with AI

Join us to hear practical insights from professionals building data platforms, AI systems, and products used by millions of users worldwide.

📅 July 18, 2026
🕘 9:00 AM
📍 Ministry of Digital Technologies, Tashkent

🎟️ Registration is open

#DataFest2026 #DataAnalytics #PowerBI #MicrosoftFabric #BusinessIntelligence

@mdcuzbekistan

📚 Kitoblar almashish uchun platforma ishga tushdi!

Ushbu platformada o'zingiz o'qib bo'lgan kitoblarni kiritishingiz, ijaraga berishingiz va qolgan kitobxonlardan kitoblarni ijaraga olib turishingiz mumkin.

Platformadan foydalanish ikki taraf uchun ham mutlaqo bepul.

Kiring, foydalaning va ziyo ulashing!

@ziyoulashbot

Loyiha to'liq bepul bo'lgani sababli, imkon bo'lsa loyihani boshqa kitobxonlar bilan ulashishni unutmang.

Cuckoo hashing даёт O(1) lookup в худшем случае

Не амортизированно.

Не «в среднем».

А именно worst case.

Идея красивая: у каждого ключа есть ровно две возможные позиции в таблице.

Поэтому поиск тупо проверяет оба места и заканчивается.

return table1[h1(key)] == key
    || table2[h2(key)] == key;

Вставка работает интереснее: если место занято, новый ключ «выталкивает» старый в его альтернативную позицию.

Отсюда и название: как кукушка, которая выкидывает чужие яйца из гнезда.

Если начинается цикл, таблицу перестраивают с новыми хеш-функциями.

Алгоритм предложили Rasmus Pagh и Flemming Rodler в 2001 году.

И это не просто академическая штука: Linux kernel использует cuckoo hashing в connection tracking table.

Один из тех случаев, когда простая идея даёт очень сильную гарантию по lookup.

#data

📊 TBC Uzbekistan Data Analytics 3.0 dasturiga qabul boshlandi!

TBC Uzbekistan Data Analytics 3.0 bepul ta'lim dasturiga arizalar qabul qilmoqda. Dastur talabalar va yaqinda universitetni tamomlagan bitiruvchilar uchun mo'ljallangan bo'lib, Data Analytics sohasida karyera boshlashni istaganlar uchun ajoyib imkoniyat.

5 oy davomida siz:
• TBC Uzbekistan mutaxassislaridan ta'lim olasiz
• Haqiqiy biznes loyihalari ustida ishlaysiz
• Amaliy data analytics ko'nikmalarini egallaysiz
• Dasturni muvaffaqiyatli yakunlagach, TBC Uzbekistan jamoasiga qo'shilish imkoniyatiga ega bo'lasiz

🔥Agar siz qiziquvchan, tahliliy fikrlaydigan va rivojlanishga tayyor bo'lsangiz, bu imkoniyat aynan siz uchun!

@unilance - eng yaxshisi siz uchun

Chrome added feature alike firefox vertical tabs:

AI bepul kurslari toʻplami

⚬ Foundations of Prompt Engineering :
AWS’da prompting va koʻrsatmalar berish asoslari.
⚬ ChatGPT Prompt Engineering for Developers :
Dasturchilar uchun ChatGPT imkoniyatlari.
⚬ Introduction to Generative AI :
Generative AI va Google Cloud vositalari sharhi.
⚬ CS50's Intro to Artificial Intelligence with Python :
Python’da AI va Machine Learning asoslari.
⚬ What Is Generative AI? :
Generative AI tamoyillari boʻyicha qisqa kurs.
⚬ Learn Prompting Guide :
Prompt Engineering boʻyicha interaktiv qoʻllanma.
⚬ Introduction to Responsible AI :
AI etikasi va masʼuliyatli ishlab chiqish.
⚬ Data Science: Machine Learning :
Machine Learning algoritmlari va modellashtirish.
⚬ LangChain for LLM Application Development :
LangChain bilan LLM ilovalarini yaratish.
⚬ Streamlining Your Work with Microsoft Bing Chat :
Ish jarayonlarini Bing Chat bilan avtomatlashtiring.
⚬ Introduction to Generative AI :
Microsoft Learn’da Generative AI asoslari.
⚬ Generative AI Learning Plan for Decision Makers :
Rahbarlar uchun AI strategiyasi.
⚬ Generative AI for Everyone :
Andrew Ng’dan Generative AI boʻyicha sodda dars.
⚬ Generative AI with Large Language Models :
Coursera va AWS’dan LLM amaliyoti.

📌 Ushbu qoʻllanmani saqlab qoʻying

@naxalov