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Django for startup founders: A better software architecture for SaaS startups and consumer apps. #article#tutorial#python#django @thedevs https://kutt.it/l9YnS3

#Python#django#webDevelopment#book 🛠 Web Development with Django: A definitive guide to building modern Python web applications using Django 4 ✍️ Ben Shaw | Saurabh Badhwar | Chris Guest | Bharath Chandra K 📆 2023 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

https://engineering.instagram.com/web-service-efficiency-at-instagram-with-python-4976d078e366 Web Service Efficiency at Instagram with Python #Instagram currently features the world’s largest deployment of the #Django web framework, which is written entirely in #Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.” But simplicity can come with a tradeoff: efficiency...

#вакансия#удаленка#python#backend#remote#vacancy#django Вакансия: Middle/Senior Python Developer Компания: Karpov. courses Формат работы: Удаленная работа, полная занятость ЗП: 250 000 - 300 000 net Karpov. courses — молодой EdTech стартап в сфере Data Science, который уже 2 года помогает людям любого возраста осваивать современные профессии, а компаниям — находить классных специалистов, способных повысить эффективность бизнеса. Сейчас отдел разработки ищет backend разработчика, который присоединится к команде LMS – нашей платформы, в которой студенты проходят курсы. Большая часть кода написана на Django и на кастомных надстройках над Django для API, сейчас постепенно все переписываем на Django Rest Framework. ✅ Что мы ждем от тебя: - Опыт коммерческой разработки на Python от 2-х лет; - Знакомы с Django, Django Rest Framework, Pytest, Linux; - Умеете оптимизировать медленные эндпоинты API; - Понимаете принципы разработки ПО, ООП, паттернов проектирования; - Умеете работать с Git (у нас GitLab); - Понимаете базовых принципы работы сети интернет и веб-сервисов (HTTP, REST); - Docker ✅ Будет плюсом - Знание Kubernetes, Ansible или Terraform, React; - Опыт работы или понимание EdTech; - Опыт работы с DigitalOcean, Hetzner; - Опыт менторства junior разработчиков. ✅ Чем предстоит заниматься: - Разработка систем, позволяющих преподавателям редактировать курсы и задания; - Рефакторинг существующего кода; - Осуществлять постепенный переезд наших сервисов в kubernetes (сам kubernetes можно будет освоить по ходу дела); - Поддержка сервисов, которые мы предоставляем студентам: Airflow, Redash, PostgreSQL, Tabix, Clickhouse, Greenplum, MLFlow. JupyterLab. (Опыт работы и поддержки этих сервисов не требуется, но будет плюсом) ✅ Наш стек: Python 3.8, Django, Django Rest Framework, PostgreSQL, Redis. ✅ Что мы готовы предложить: - Удаленную работу и возможность работать из любой точки мира; - Гибкий график работы с плавающим началом рабочего дня; - Партнерские программы по английскому языку и занятий с психологом; - Компенсацию работы в коворкинге; - Мы не только учим, но и сами любим учиться: любой курс – в том числе и наш, – можно пройти бесплатно; ✅ Как откликнуться: Пиши в лс @nportnyh или на почту [email protected]

#python#django#MySQL 🐍 The Ultimate Django Series Part 3 Description This course is the 3 part of a series. Build production-grade backends with industry best practices.A comprehensive, fun and highly-practical course that prepares you for the job • Building an API to upload files • Sending emails • Running background tasks with Celery • Scheduling periodic tasks • Monitoring scheduled tasks • Writing automated tests with PyTest • Running performance tests with Locust • Profiling with Silk • Implementing caching with Redis • Managing static assets • Logging • Managing development and production configuration • Deploying to Heroku • Django best practices • And much, much more! Author: Mosh Hamedani Language: English Duration: 4h+ 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

#python#django#MySQL 🐍 The Ultimate Django Series Part2 Description This course is the second part of a series. The first part covers the fundamentals of building websites with Python and Django. In this part, you'll learn: • Fundamentals of RESTful APIs • Working with class-based views • Creating serializers • Using mixins and generic views • Generating routes with routers • Filtering, searching, sorting, and pagination • Django authentication system • Creating custom User models • Securing APIs with JSON Web Tokens (JWT) • Using signals to decouple apps • Troubleshooting common errors • Applying best practices • And much, much more! Author: Mosh Hamedani Language: English Duration: 5h 41m 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

#python#django#MySQL 🐍 The Ultimate Django Series Description Master Django to Build Awesome Backends! This course is the first part of a series. In this part, you'll learn • The fundamentals of web development • Installing Django • Creating and understanding Django projects • Building reusable Django apps • Building a data model for an e-commerce application • Implementing generic relationships using Content Types Framework • Setting up and using MySQL in your Django projects • Creating and updating database tables using Django migrations • Populating your database dummy data • Querying and manipulating data using Django ORM • Managing your application data using Django admin • Django best practices • And much, much more! Author: Mosh Hamedani Language: English Duration: 4h 48m Subtitle: Included 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

#python#docker#django 😎 Django Rest Framework with Docker A Practical Guide In this tutorial you will learn: - How to create APIs with Django Rest Framework - Use Docker - Create protected routes - Login with HttpOnly Cookies - Use APIViews, ViewSets, Generic API Views - Authorize users for different routes - Upload Images - Export CSV files 🔗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 DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding. https://github.com/z-lab/dflash

#python PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload. https://github.com/NVIDIA/personaplex

#python AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks. https://github.com/SakanaAI/AI-Scientist-v2