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Изходен канал @clockstackwheels · Post #676 · 2.12

Не выдержал и заказал один DJI O3 Air Unit, посмотрим :) FPV-квадрокоптер это летающая платформа с камерой. И эти контуры более менее друг от друга изолированы: можно снять всё, что касается видео, и по-прежнему будет летать и нормально управляться, правда, пилот не сможет ничего видеть. То есть там полётный контроллер со своим радиоприёмником, отдельно радиопередатчик и камера для видео, и ещё почти всегда ставили отдельно камеру для съёмок — просто прикручивали сверху GoPro. С полётным контроллером и его радиомодулём всё хорошо — научились делать очень круто, работает чётко, опенсорсная прошивка, отличная дальность. А вот у видео были проблемы. Долгое время оно было вообще аналоговое, но пришла компания DJI и кроме собственных отдельных дронов стала выпускать Air Unit — модульную камеру с передатчиком, которую можно поставить на фактически любой дрон. При этом видео цифровое и передаётся только в очки от DJI. Это был отличный ход: качество у такого видео лучше, чем у аналогового, поэтому FPV-шники стали массово скупать очки от DJI, китайские компании массово приобрели у DJI лицензию на выпуск своих модулей с их чипами (Caddx, например, она у меня на одном из дронов стоит), на аналоге остались разве что дроно-гонщики, там слишком важна задержка между картинкой и реальным временем. Но потихоньку стали появляться решения от других производителей: например Walksnail Avatar — тут тебе и очки сразу и видеомодуль. Сами DJI выпустила новые очки, оказавшиеся несовместимыми с Air Unit. А ещё они же релизнули FPV-дрон Avata, который хоть и хороший, но не даёт той гибкости, которая нужна крутым (и не таким богатым :)) ребятам. Казалось бы — ну всё, лидерство DJI в области видеопередачи для FPV-дронов постепенно заканчивается. А, ну и параллельно с этим всегда была проблема "на что снимать?". GoPro очень тяжёлая. А всё, что лёгкое — не слишком качественное. Сами GoPro выпустили версию Bones со снятым всем подряд, кроме самого необходимого. Ещё активно делали (причём, как люди сами, так и фирмы) так называемые GoPro Naked — разбирали камеру, выкидывали аккумулятор и экран, печатали новый корпус полегче. И тут бац тебе: O3 Air Unit. Это камера от DJI Avata с видеопередатчиком, которую можно установить на любой дрон. Качество на голову выше, чем у всего, что есть на рынке. Достаточное, чтобы на эту камеру даже можно было снимать, а не только смотреть, куда летишь. Совместимая со всеми версиями очков. Решает сразу очень много проблем. FPV-шники теперь ещё больше будут покупать дорогущие очки от DJI обеих версий. Вишенкой на торте ещё и идёт тот факт, что камера впаивается, то есть ты её так просто с одного дрона на другой не поставишь. А у летающих ребят обычно по 2-3-5-10 дронов. Ну, экономику считайте сами. Гениальный ход, как по мне :) И очередной Game Changer. #drone

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djangoproject

@djangoproject · Post #587 · 29.03.2018 г., 06:09

https://us.pycon.org/2018/events/edusummit/ In 2018, #PyCon will be holding its sixth annual Python Education Summit. The Summit is a gathering of teachers and educators focused on bringing coding literacy, through Python, to as broad a group of audiences as possible. We invite educators from all venues to consider joining the discussion, share insights, learn new techniques and tools and generally share their passion for education. We are looking for educators from many venues: authors; schools, colleges, universities; community-based workshops; online programs; and government. Not only will we have a wide array of full-blown talks, we will also have a round of lightning talks!

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djangoproject

@djangoproject · Post #419 · 20.08.2017 г., 09:25

https://in.pycon.org/2017/ #PyCon India, the premier conference in India on using and developing the Python programming language is conducted annually by the Python developer community. It attracts the best Python programmers from across the country and abroad. 2nd-3rd Nov, Workshop/Devsprints 4th-5th Nov, Conference Days 🔷Data Analysis and Visualization - Data Analysis and Visualization 🔷Standard library - Python Standard library features, usage 🔷Python 3k - Features, Python 2 to 3 migration experience, Writing compatible 2 and 3 code 🔷Web Development - Web Development, API design etc ... 🔷Infrastructure - Automation, Deployment 🔷Network Programming - Socket programming, Async IO, Twisted, Gevent 🔷Testing - Unit Testing, Selenium, py.test, Nose 🔷Security - Web Security, Server Security, Cryptography, Encryption 🔷Scientific Computing - Scientific/Numeric Libraries 🔷Concurrency - Parallel Processing, Async IO 🔷Embedded Python - Embedded Python, Device Interfacing, Robotics, Raspberry Pi, Arduino 🔷Core Python - Language Features, Python Implementations, Standard Library, Algorithms, C APIs

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djangoproject

@djangoproject · Post #417 · 20.08.2017 г., 04:41

https://pune.pycon.org/2018/ Getting Involved #PyCon Pune is a community event and is volunteer-driven. People from the community come forward to volunteer and help make the conference better. Anybody attending PyCon Pune is welcome to volunteer, but you must be registered to volunteer.

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djangoproject

@djangoproject · Post #416 · 20.08.2017 г., 04:37

https://pune.pycon.org/2017/ 🔸[Writing Beautiful Code] by Anand Chitipothu 🔸[You can help develop Python - and you should!] by Stephen Turnbull 🔸[Writing Beautiful Code] by Anand Chitipothu 🔸[Hacking Mailing Lists - The Mailman 3 API Ecosystem] by Florian Fuchs 🔸[Pagure: Past, Present and Future] by Farhaan Bukhsh 🔸[Create an impact with "Good Documentation"] by Vidya Iyengar 🔸[Testing native binaries using CFFI] by Noufal Ibrahim 🔸[i18n-ise Django Apps] by Sundeep Anand 🔸[Keynote by John 'warthog9' Hawley] by Kushal Das 🔸[Keynote by Nick Coghlan] by Kushal Das 🔸[Building trust in releases] by Nigel Babu 🔸[Django on Steroids — Lessons from Scale] by Sanket Saurav #pycon

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djangoproject

@djangoproject · Post #367 · 04.07.2017 г., 13:34

https://pycon-au.org/ #Pycon Australia 2017 Melbourne(August 3-8, 2017, Melbourne Convention Centre): ♦️Unit Testing with Requests ♦️Lightflow - A lightweight, distributed workflow system ♦️Passing the Baton: Succession planning for your project ♦️Time is an illusion ♦️Prototyping Python Microservices in Production ♦️Programming Lego Mindstorms robots with Python ♦️Secrets of a WSGI master. ♦️Code Reviews Using Art Critique Principles ♦️Decoding the Frustrations and Vulnerabilities of Modern Text Processing ♦️An introduction to nodepool ♦️Improving Your Documentation: A talk for developers who want to write stuff good ♦️StarLAB: Developing a hardware based learning platform for students ♦️The Wizardry of Metaprogramming ♦️Video recording conferences and user groups using Python ♦️Messy Sensor Data: A Programmer’s Cleaning Guide ♦️Python vs Punch Out ♦️When Do We Belong? ♦️Covered in Bees! Deploying an app to 6 platforms in 20 minutes

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djangoproject

@djangoproject · Post #366 · 04.07.2017 г., 13:14

https://pycon-au.org/ #Pycon Australia 2017 Melbourne(August 3-8, 2017, Melbourne Convention Centre): ♦️Bayesian inference & machine learning ♦️Practical testing with pytest ♦️Django & JavaScript: A long and complicated friendship ♦️Python to the (Little) People: teaching 300,000 students Python through the DT Curriculum ♦️Tuning In with SDR & Python ♦️Building the next-generation Conversational AI with Python and Deep Learning ♦️Using Python in a Data Hackathon ♦️Reflections on the Use of Python and Pygame in Senior IT ♦️Loop better: a deeper look at iteration in Python ♦️Using MicroPython in the wild ♦️Teaching Object-Oriented Programming with Python ♦️Program all the things - How to develop IoT devices using MicroPython ♦️Oh, I Found a Security Issue ♦️Learn You a PyTorch! ♦️Offline Django with Service Workers ♦️Python in Primary School ♦️Software for the Murchison Widefield Array radio telescope ♦️MicroPython for ESP32 ♦️Finding Currajong - Fuzzy string searches in Python ♦️Teaching MicroPython with the BBC micro:bit at NCSS ♦️hunter2: A Symphony of Password Horror The Messaging of Things ♦️Rapid GUI development for IOT systems ♦️Let's Run Python on a Supercomputer! ♦️Teaching Python: Adapting to Diversity ♦️Multitenant applications: how and why ♦️Horrors of Distributed Systems ♦️MicroPython Energy Monitoring ♦️Tracking Land Conversion with the Eye in the Sky ♦️iPad App Development with Python ♦️Visualising data in Python ♦️Red User, Blue User, MyUser, auth.User ♦️Programming, Python, and Student-Directed Projects ♦️Using Python For Creating Hardware To Record FOSS Conferences ♦️DNA sequencing and analysis in a remote environment; Nanopore sequencing and FPGA boards. ♦️Teaching Python Online to Primary Students ♦️Word Embeddings everywhere, Which one to choose! ♦️Bowerbirds of Technology: Architecture and Operations at Less-Than-Facebook Scale ♦️Learn by Doing: Getting Students into FOSS ♦️From PyPI to Production: Shipping Software Responsibly. ♦️Improving PySpark Performance: Spark performance beyond the JVM ♦️How Django helped us make a better conference website ♦️PEP 498: The Monologue ♦️Comprehensible Comprehensions ♦️A Really Gentle Introduction to Asyncio ♦️Concurrency and Parallelism From The Ground Up ♦️Python: Ludicrous mode (with Django) ♦️Syntax Hijacking: Genius or Evil? ♦️Fighting the controls: madness and tragedy for programmers ♦️One Data Pipeline to Rule Them All ♦️Introduction to profiling python performance with SystemTap ♦️Harnessing the APIs you didn't know existed ♦️Analysing a TwitterBot using TextBlob, NLTK and Python ♦️Call a C API from Python becomes more enjoyable with CFFI ♦️Scaling Down: Running Large Sites Locally ♦️The Importance of Design: maybe the users aren't wrong? ♦️Mocking: virtual reality for your Python tests ♦️Organizing conferences for learners: How we made it work in Namibia ♦️Wordsmiths - Operational Transformation in Python ♦️Identity 2.0: the what, why and how of social and federated login ♦️Stereo Vision ♦️The Business of Community ♦️Front-end integration testing for back-end developers ♦️Automated Python Powered Turret ♦️GraphQL: how to make clients enjoy using your API ♦️We're no strangers to VoIP: Building the National Rick Astley Hotline ♦️How to write a container daemon in Python ♦️Why'd it have to be snakes: Porting Swift to Jupyter ♦️Gradual Typing in Python ♦️Don't Look Back in Anger: Wildman Whitehouse and the Great Failure of 1858 ♦️Hot reloading Python web-servers at scale Python 3 for People Who Haven't Been Paying Attention ♦️State Machines ♦️The four kinds of documentation, and why you need to understand what they are ♦️Lessons from building serverless services in bleeding edge python

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djangoproject

@djangoproject · Post #368 · 04.07.2017 г., 13:39

http://2017.djangocon.com.au/ #DjangoCon AU: August 4, 2017 #PyCon AU: August 5 - 6, 2017 Sprints: August 7 - 8, 2017 🔷Django and JavaScript: A long and complicated friendship 🔷Bowerbirds of Technology: Architecture and Operations at Less-Than-Facebook Scale 🔷Loop better: a deeper look at iteration in Python 🔷Oh, I Found a Security Issue 🔷Offline Django with Service Workers 🔷hunter2: A Symphony of Password Horror 🔷Multitenant applications: how and why 🔷Horrors of Distributed Systems 🔷Red User, Blue User, MyUser, auth.User

djangoproject

@djangoproject · Post #508 · 26.11.2017 г., 22:12

The unexpected effectiveness of Python in #science. In a keynote on the first day of #PyCon 2017, Jake VanderPlas looked at the relationship between #Python and science. Over the last ten years or so, there has been a large rise in the amount of Python code being used—and released—by scientists. There are reasons for that, which VanderPlas described, but, perhaps more importantly, the growing practice of releasing all of this code can help solve one of the major problems facing science today: https://lwn.net/Articles/724255/

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