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Multiprocessing vs. threading in Python: What every data scientist needs to know. #article#tutorial#python#ds @thedevs https://kutt.it/LAbATF

#Python#NLP 📚 Natural Language Processing with Python (2023) ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

#python#NLP 🐍 Investment Analysis with Natural Language Processing NLP Rigorously Leverage Python, Data Science & NLP Techniques for Sentiment Analysis and Financial Analysis | Core Finance 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

5 ta eng mashhur Python kutubxonasi Python dasturlash tili kuchli kutubxonalar bilan mashhur. Quyida eng ommabop va keng qo‘llaniladigan 5 ta Python kutubxonasi bilan tanishing. 🔹1. TensorFlow –🔗Rasmiy sayt – Google va Brain jamoasi tomonidan ishlab chiqilgan mashinaviy o‘rganish (ML) kutubxonasi. – Katta hajmdagi ma’lumotlar bilan ishlash va neyron tarmoqlarni yaratish imkonini beradi. 🔹2. Keras –🔗Rasmiy sayt – Mashinaviy o‘rganish uchun eng qulay va kuchli kutubxonalardan biri. – Neyron tarmoqlarni yaratish va o‘qitish uchun sodda API taqdim etadi. 🔹3. NumPy – 🔗Rasmiy sayt – Sonli hisob-kitoblar va massivlar bilan ishlash uchun ishlatiladi. – TensorFlow va boshqa ML kutubxonalari NumPy’dan foydalanadi. 🔹4. Scikit-learn –🔗Rasmiy sayt – Ma’lumotlarni tahlil qilish va mashinaviy o‘rganish uchun eng mashhur kutubxonalardan biri. – NumPy va SciPy asosida yaratilgan. 🔹5. Django –🔗Rasmiy sayt – Veb-saytlar yaratishni tezlashtiradigan kuchli Python kutubxonasi. – Kamroq kod bilan ko‘proq ish bajarish imkonini beradi. 🚀Qaysi kutubxonadan foydalanasiz? Izohlarda fikringizni qoldiring! #Python#Django#MachineLearning#Numpy 💻@dasturlash_hayoti— dasturchilar hayoti va dasturlash olami haqida!

#python#AI#ML 😉 Essentials of Python for Artificial Intelligence and Machine Learning (2024) ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

#вакансия#LoRa#ai#engineer#sql#python AI engineer / Expert AI / AI model trainer (LoRa / Stable diffusion) We are looking for an AI/StableDiffusion engineer as a full-time project employee. The job is mostly related to high quality training of LORA, composing prompts related to certain scenes (based on sketches from artist) and programming on Python. We are currently in prove-of-concept phase and need to run many experiments to get certain results (can explain on the call). The job also includes research of new technologies related to SD/other AI networks. The proposed salary level is $5000-6000. The work process includes daily/on-demand calls, weekly reports, etc. In addition to AI related knowledge, following skills are required: - Linux, advanced CLI commands - SQL - Basic image processing (transparency, simple drawings, scaling, rotation) - Advanced Python programming (image processing pipelines, training pipelines) - English (reading/writing. Speaking is highly welcomed) Contact me and we will be happy to discuss our project! @levanm We consider Russian-speaking specialists. The preferred time zone is UTC+3 or similar.

#вакансия#LoRa#ai#engineer#sql#python AI engineer / Expert AI / AI model trainer (LoRa / Stable diffusion) We are looking for an AI/StableDiffusion engineer as a full-time project employee. The job is mostly related to high quality training of LORA, composing prompts related to certain scenes (based on sketches from artist) and programming on Python. We are currently in prove-of-concept phase and need to run many experiments to get certain results (can explain on the call). The job also includes research of new technologies related to SD/other AI networks. The proposed salary level is $5000-6000. The work process includes daily/on-demand calls, weekly reports, etc. In addition to AI related knowledge, following skills are required: - Linux, advanced CLI commands - SQL - Basic image processing (transparency, simple drawings, scaling, rotation) - Advanced Python programming (image processing pipelines, training pipelines) - English (reading/writing. Speaking is highly welcomed) Contact me and we will be happy to discuss our project! @levanm We consider Russian-speaking specialists. The preferred time zone is UTC+3 or similar.

Пост-знакомство #2 Вас стало много! Пришло время обновить информацию о себе и канале✨ Кто я👀 Соня Шандыбина, редактор инфографики в образовательной команде космического "БЮРО 1440". Экс-редактор инфографики ТАСС. Обожаю визуализацию данных и посвящаю ей не только рабочее, но и личное время. Свои проекты, сделанные для души, собираю на страничке: https://dataviz_addict.tilda.ws Интересуюсь всем, кроме политики. Особенно вдохновляют темы космоса, физики, биологии и других естественных наук про окружающий мир. Также увлекаюсь анализом текстов, изображений и видео с помощью python. О чем канал📌 Тут я показываю рабочие и личные проекты, интересные датавизные находки и референсы, иногда делюсь кодом python и его разбором. В канале есть навигация по хэштегам: #degraphing — рубрика с подробным разбором интересных визуализаций #рабочее — рабочие проекты #личное — личные проекты #python — код или проекты, сделанные с использованием python #датавиз — точное и понятное с графиками, диаграммами и т.д. #датаарт — красивое и абстрактное, основанное на данных #датамем — несерьезное или смешное про датавиз #инфографика — постерное и(или) с преобладанием схем, иллюстраций и текстов над графиками (трактовка понятий свободная, удобная лично мне) P.S. Все посты в канале создаются без использования ИИ✅ Добро пожаловать в мой датавизнутый мир🙂

All algorithms implemented in Python. #resources#tutorial#python#algorithm @thedevs https://kutt.it/RAKqFk

http://techioz.com/lambda-function-in-python/ #lambda function is defined using lambda keyword. It’s an anonymous function without name. #python#learn

I was looking for a house, so I built a web scraper in Python. #aritcle#tutorial#python @thedevs https://kutt.it/NtTeKV

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