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This allowed me to grow my presentation skills and I know there is a wide room for improvement here and create a nice network of contacts among our tech community. I am sincerely grateful for everything The New York Times has done for me in this regard. On the personal side, I feel that I have grown so much!
All my coworkers and friends read and consume all kinds of media all the time, whether they are podcasts, on-demand videos, live channels, newspapers or mailing lists and this pushed me to do the same. This practice came into my daily life and made me even more passionate about the world of media, including how big conglomerates and small startups are positioned on this huge market.
I would like to thank all those who have encouraged me and influenced me to become even more involved in this world! With over 1 billion users visiting their properties every quarter, CBS Interactive is a global top 10 web property and the largest premium content network online. I'm very enthusiastic about what's coming down the line.
I really hope to make an impact on the projects, make lots of new friends and bring the best of me for this company and all associated business units.
I also hope to keep pushing great things to production, attend to conferences, open source stuff and help on growing the video-dev 16 community. For those who made it to the end of this post and are somehow part of the projects we worked, thank you so much for everything. I learned more than ever during this time. I really appreciate all types of learnings and experiences you guys provided to me.
Continue lendo em avelino. Por exemplo, o Mageia 6 ainda utiliza o Plasma 5. Inclusive isso vai render outro post sobre essas distros. Em seguida crie um arquivo python chamado setup. O pandoc precisa estar instalado no sistema para ser usado com pypandoc.
A dia que sempre do para quem quer contribuir com projeto Open Source: Originally published at avelino. Transformar a lista em um conjunto set talvez seja a forma mais comum de se fazer isso. O arquivo deve se chamar fabfile.
Finalmente chegamos as views baseadas em classes. Veja como fica a views. Ou APIView para classes. Para isso utilizaremos Django 2 para o backend e Angular 5 para o frontend. Ao iniciar o navegador em localhost: Agora podemos visualizar a tela de login acessando localhost: Se tudo tiver corrido como esperado ao acessar localhost: Agora criaremos um service para acessar nossa api e uma view para listar os itens da nossa lista de compras:.
Beleza, vamos partir do simples. Ainda relacionado aos trabalhos organizativos, criei uma regra para enviar e-mails para a lista de e-mails do KDE Edu para cada novo Differential Revision nos softwares do projeto no Phabricator. Isso faz parte da rotina comum do python. O que deve ficar com uma cara assim:. Mas, vamos estender este exemplo:. Por que falar de classes? Para exemplo de uso, muitos conceitos precisam ser esclarecidos antes de entendermos profundamente o que acontece com elas, mas digo logo: Vamos olhar sua sintaxe:.
A quick reference guide for the Pythonista in process of becoming a Rustacean. NOTE The original repository for this article is on https: Assuming you already know what is Rust and already decided to start learning it.
Here are some steps for you to follow:. A good introduction to Rust language in a more superficial approach which results in a very pleasant and easy reading, recommended even for those who are not experienced with low level systems languages.
A complete Guide to Rust Language https: Now I assume you are addicted to Rust and you want to be updated about averything around it, here are some good links to follow. You can copy-paste and run the Rust examples in https: Create a new project with baseic files, entry points, module initializer, dependency and installation artifacts.
Creating a list, adding new elements, gettings its length, slicing by index, itarating using for loop and iterating with enumerator. Create new dictionaries hash maps , adding new keys and values, changing values, getting by key, checking if a key is containing, etc.
You can use the maplit crate to load hashmap! Create a set a hash of unique keys , add new keys and compute intersection , difference and union. Rust has a looping feature which is not present on Python: Created by Bruno Rocha rochacbruno inspired by https: Por exemplo, temos o par printf e vprintf. Traduzindo para nosso exemplo acima:. Seguindo as aventuras no mundo dos bindings C para a EFL, um problema que enfrentei semana passada durante o port dos bindings para o Windows envolvia a famigerada API Win E era exatamente isso que estava acontecendo.
Prevendo esse tipo de problema,. STA deve ser fornecida para o linker. Mas vamos ao assunto. Vamos construir um spider que se autentique em http: Depois disso, basta extrair as URLs dos autores linhas A round arredonda pra cima ou pra baixo? Em Python 3, a round define o arredondamento assim:. No caso do 3. Ou seja, deu empate. Bankers Rounding Arredondamento de Banqueiros. Sendo assim, analisaremos primeiramente o arquivo game.
However sometimes you need something simple for that small project or for prototyping. The username defaults to admin and the password defaults to secret yeah that's not clever, let's see how to change it.
But what if you have more users and more complex auth logic? Take a look at the example app. And you can customize it in anyway you want and need, it receives a form in context and it is a WTF form the submit should be done to request.
De modo simplificado temos a seguinte estrutura:. Para demonstrar o game loop em funcionamento faremos um programa que desenha uma bola que quica pelos cantos da tela:. Na etapa de processamento de entrada usamos pygame. Se ele for, usamos break para sair do loop, finalizando assim o programa. E com isso finalizamos nosso breve passeio pelo game loop.
The traditional way of package deployment in Python is using a setup. It works by using distutils , setuptools or distribute and there is also twine which is a command line application to manage uploads. One of the characteristics of setuptools is that it uses Monkey Patching over the standard distutils to fix existing problems.
Other forks of setuptools has been created to fix that issues and add common developers preferences so well known forks like distribute and distutils2 and distlib has been merged back to the original setuptools. Lots of other packaging tools has been created to try to fix the distribution problems, some maintained by PyPA Python Package Authority and some maintained by community.
As you can see it is very confusing to decide which of the distribute tools to addopt and how the setup. Forget all about all that history and setup. I knew about Flit when I was taking a look at Mariatta Wijaya game called Tic Tac Taco Pizza and noticed that she used flit to deploy the game, so we also asked her the reason for using this on the podcast we recorded so I decided to try porting my projects to Flit.
Instead of a complex setup. Flit packages a single importable module or package at a time, using the import name as the name on PyPI. All subpackages and data files within a package are included automatically.
Flit is open-source, so some of this things are already under consideration and there are PRs opened. Python still needs better standards because you still need separated tools to make common tasks and using a single tool to that tasks pack, install, deploy, create would be better just like what cargo does for Rust , instead in Python you have:. Having so many tools brings a lot of confusion and makes it hard to choose, why not having a single tool, based on different plugins sharing the same API?
All above configurable via config file or env vars and each of that endpoints would be provided by many plugins sharing the same API, so you could choose between flit or twine as your publish manager etc.. So maybe I can implement that features in manage. There are no boundaries to projects, nor specific scope requirements.
You can use your time to do research on new topics or disciplines, contribute to open source projects, fix bugs or create products from scratch. It's definitely not a new thing and I believe most companies are doing this now so I will not dwell on it.
One of our goals as a video team this year is to increase our click through rate when our users see our video player.
We usually do a pretty good job of selecting thumbnails for all of our videos — often using photos taken by our own photo journalists. However, after watching a talk from JWPlayer folks and reading a research article from Netflix, it became clear to me that we can't just assume a thumbnail is good for a given video. In order to try to improve our thumbs, we'd need to be able to create them in a cleverer and faster way.
So I thought that creating something to generate and serve thumbnails for any of our videos at any time, on-the-fly on the time of an HTTP request , would be a great project for my Makers Week. When working at Globo. Before starting, I invited Francisco Souza to help me. I'm glad he accepted, things were much easier with his help.
As I said before, Lumberjack is a combination of open source projects that allow thumbnails extraction for videos. We are deploying three services in different containers in a Kubernetes pod:.
Responsible for scanning the video on a given mountpoint, extracting the frame of a given timecode and returning it on the fly. We used gcsfuse to mount our production GCS bucket where our videos library reside, allowing the module to go there and get the frame requested. Responsible for applying filters, crops and resizing of images. It includes smart cropping, face and assets detections and a bunch of other cool stuff. You should take a look on this powerful project and see what it can do for you.
The Docker image we are using for this service is available here. The application is also responsible for getting the parameters passed from the user on the URL such as filters and resolution, send to Thumbor and return the final picture back to the user. We decided not to open source Lumberjack. At the end of the day the whole project is just some business logics around the open source projects I mentioned on this post.
So really all of the credit belongs to the guys who created and maintain Thumbor and the thumbextractor module. If you want something similar to what we did you can just deploy them. Imagine we want to crop a frame from this video at 30 seconds to use as the cover of another vertical video on mobile phones 9x16 , in grayscale, with smart cropping.
We just need to pass the below as parameters and the service will make it for you:. Another great feature supported by the thumbnails extractor is the generation of sprites or tiles. We can, for example, generate a sprite map with thumbnails every one second and use it as a moving cover when the user hovers on it:.
We can also use the similar approach to use the sprite map for the thumbnails on the seekbar as you can see on this player:. The Thumbnails Service is now part of our Q4 roadmap and Lumberjack is already in production. We didn't present to the newsroom yet as we are still facing some performance issues with caching and the GCS bucket. To sum up, we'll need to revisit a lot of stuff that we did in a rush during Makers week I don't even need to mention that we have zero tests for the Lua script too.
For the future, we want to be able to detect perfect looping GIF's for using them on social channels and also detect highlights of a video based on the audio and closed captions. That way we can suggest thumbnails for our newsroom editors within our CMS. Comecemos primeiro com a classe que representa os autores. Em seguida, criamos a classe que representa os livros. Como exemplo, eu criei um arquivo main. Agora, vamos popular nosso banco com alguns autores e seus respectivos livros.
Isso pode ser feito de dois modos. O Peewee possui comandos destinados a realizar consultas no banco. Digite o nome ou clique em … para selecionar uma atividade da lista. Consulte Testar um URL. Emulator - usar um dispositivo virtual. Consulte Depure seu aplicativo para saber mais sobre como depurar no Android Studio. Para poder usar esse recurso, o projeto deve usar exclusivamente o Android 7. A partir do Android Studio 2.
Adicione os comandos do LLDB que quiser executar antes de o depurador se vincular ao processo. Adicione comandos do LLDB que quer executar logo depois que o depurador se vincular ao processo. Para ver uma lista completa de comandos de registro, digite o comando log list em uma janela de shell do LLDB no Android Studio.
All in package - iniciar todos os testes no pacote especificado no campo Package. Class - iniciar testes da classe especificada no campo Class.
Se seguir essas etapas e sincronizar o projeto com o arquivo build. Voltar Meet Android Studio.