Flosum

flosum

For most developers and engineers, the working week is pretty hectic. You have a long list of tasks to complete, and only so many hours to get them done. Perhaps this is why developer productivity tools are so popular. If you choose the right apps, you can save yourself a big chunk of time and a whole heap of hassle. To help you build the , we went looking for the that are currently trending in coding communities. ultimate workflow developer tools Keep reading for a run-through of the standout solutions — from communication platforms to top code repositories. The Best Project Management and Issue Tracking Tools🚀 No matter what you’re working on, staying organised as a team and keeping track of issues are both absolutely essential. Here are some trending tools that can help you to maintain complete control over your process. 1. — Lightning Fast Issue Tracking and Management Linear Another up-and-coming issue tracking tool is Linear. This platform has won plaudits for its sleek interface and lightning-fast performance. While Stepsize provides inline issue tracking, Linear is closer to a project management tool. It can handle tasks, sprints, lists, and boards — and it even works offline. Perhaps the best feature in terms of developer productivity is Linear’s keyboard navigation. Using shortcuts, you can access almost anything within the app. : Free, paid plans from $8/mo Pricing 2. — Flexible Project Management Asana While Asana has been around for many years, the popular project management app is now gaining new followers, thanks to some great productivity features. In particular, Asana can adapt to pretty much any management framework: Kanban boards, Gantt charts, , and so on. You can also work in roadmaps, and track bugs, all within an app that has collaboration options. Agile sprints Just as importantly, Asana has embraced automation, with conditional workflows and streamlined approvals. Free, paid plans from $10.99/mo Pricing: 3. — The First Issue Tracker for Engineers Stepsize With features that allow Engineers in the editor, Stepsize has been a hit with developers lately. track issues Our platform works with VSCode and JetBrains editors to make it easy to link code to issues. It helps engineers to prioritise codebase issues, such as technical debt, and any problems they might come up during the development process. You can also connect your favourite for easy sprint planning, and hook up your existing issue tracking workflow to monitor your . project management tools technical debt In fact, Stepsize is specifically designed to be placed on top of your existing toolkit. This means that adopting this platform causes zero disruption to your process. It works with Visual Studio Code, Asana, Github, Jira, Linear, and many more apps. Free, with Pricing: paid plans from $15/mo The Best Communication Tools for Software Developers🎙 Keeping strong lines of communication is vital for any development team, particularly in remote companies. These top tools should help you and your coworkers to stay connected. 4. — Distraction-Free, Asynchronous Chat Twist While live messaging still has a place, many teams are now switching to asynchronous messaging, which allows people to collaborate across different work schedules and timezones. Twist is one of the apps leading this change. Designed specifically for asynchronous communication, it can best be described as a slower, more considered version of Slack. There are no notification dots and no presence indicators, and the UI is very clean. It strikes a really nice balance between encouraging teamwork and avoiding distractions. : Free, paid plans from $5/mo Pricing 5. — Powerful Chat With Loads of Integrations Slack We can’t really talk about collaboration without mentioning Slack. Like Asana, this chat platform has been a major player for some time now. However, Slack keeps improving. Just within the past year, the app has added instant audio meetings (“Huddles”), scheduled messages, and easy screen recording. You can also now message clients and external partners from within your Slack workspace, while the list of integrations continues to grow. : Free, paid plans from $6.67 Pricing 6. — Improve Sound Quality on Video Calls Krisp For remote teams, video calls are an essential form of communication. Unfortunately, people don’t always join from a serene office — so everyone else has to concentrate hard to hear what is being said above the sound of barking dogs or the hubbub of a busy coffee shop. Krisp is designed to solve this issue. The app uses artificial intelligence to enhance the voice you’re trying to hear and reduce the background distractions. It also cuts out the annoying echo you sometimes get. It works on Windows and Mac, with support for over 800 communication apps. : Free to download, paid plans from $5/mo Pricing The Best Code Repository Hosts 🏪 While and communication are important, you’re probably going to spend more time in your chosen code repo. Here are some hosts that will help you get things done. task management 7. — Still a Great Repository Host Github The reason Github is on this list? Well, it’s always trending — and for good reason. This wildly popular host is packed with useful features, such as bug tracking, personal and private repositories, release binaries, access management, and a long list of automation commands. Just as importantly, both Git and SVN are supported. The other attractive elements of Github are the community aspect, and very generous pricing — you can host unlimited free repositories. : Free, paid plans from $40/mo Pricing 8. — A Slick Hosting and Deployment Workflow Beanstalk While Github is a little more biased towards public repositories, Beanstalk is designed specifically for teams that want to host private repos. In other respects, these two hosts are quite similar — although developers appreciate the easy FTP deployment provided by Beanstalk. As used by Intel and Citrix, this solution also offers a slick interface and nice . It’s definitely a rising star to watch. code review tools : Free, paid plans from $15/mo Pricing 9. — An Atlassian-Powered Rival to Github BitBucket If Github is the market leader in repository hosting, BitBucket is probably the standout alternative. Powered by the behemoth that is , this platform gives developers greater control over branch permissions and workflows. Atlassian While Github is well catered for in terms of integrations, BitBucket also offers deep support for third-party APIs. Teams that use Trello will be particularly pleased with the level of integration. One other area in which BitBucket excels is for projects that rely on big files, as the platform provides full support for Git Large File Storage (LFS). : Free, paid plans from $15/mo Pricing The Best Deployment Solutions 🔬 Some of the hosts mentioned above provide simple deployment features. But if your project is complex or beyond a certain scale, you may find that these dedicated apps provide a more robust option. 10. — Fully Integrated DevOps Management Gitlab In many respects, Gitlab is a next-generation deployment solution. It combines the essentials of planning, packaging, and release with DevOps features like configuration and monitoring. Gitlab is optimised for the cloud, with full Kubernetes integration and a container registry. The platform can also adapt to your CI/CD preferences, while managers can take full control thanks to a single permission model. These features could work for any team, but Gitlab is particularly optimised for remote teams. : Free, paid plans from $19/mo Pricing 11. — Easy Deployment and DevOps for Salesforce Apps Flosum Okay, so this one is a bit niche: a DevOps solution designed specifically for apps. Salesforce But the truth is, Flosum can’t be ignored. This platform has received almost universal praise from developers, including teams from Visa and Amazon. The features that make Flosum stand out include native version control, strong security, and unmatched integration with Salesforce, such as full support for Lightning Components. Plus, it works with Git, Selenium, , Azure DevOps, and other third-party tools. Jira : Free trial, paid plans on request Pricing 12. — Continuous Deployment for the Cloud AWS CodeDeploy Given the popularity of using AWS for cloud apps, CodeDeploy is an obvious inclusion for this list. The service helps to automate deployment to EC2 or local instances, and even Lambda functions. In fact, CodeDeploy can handle almost anything you throw at it. The list includes code, multimedia files, executables, scripts, and much more. And like most other Amazon services, it’s highly scalable. While CodeDeploy is somewhat lacking when it comes to third-party integrations, it’s a worthy choice for any AWS-based setup. : Free for cloud deployments to AWS, or $0.02 per on-premises instance Pricing The Best Testing and Monitoring Tools for Development Teams 🕵️‍♀️ is an important part of the development process, and it’s an area that is seeing a lot of innovation. Here are a few of the tools that are leading the way right now. Testing 13. — User-Friendly Concurrent Testing Ghost Inspector In many cases, testing for web applications can be completed using local browser tests. But there are limitations to this approach. In particular, you need someone with good technical knowledge just to run such tests. Ghost Inspector makes the process much easier and quicker. Through one clean interface, you can create and manage tests for a wide range of web technologies. With an eye on productivity, the platform can run over 50 tests concurrently, and it integrates with HipChat, Slack, PagerDuty, and other apps. : Free trial, then paid plans from $89/mo Pricing 14. — Simplified No-Code Testing Stacks TestSigma Another service that is aiming to simplify testing is TestSigma. This fresh-faced tool allows developers and QA teams to build comprehensive testing stacks without a single line of code. The tests can be created using written commands, or by recording actions, and you can run them online or in the cloud. TestSigma covers over 800 browsers and 2,000 devices, with detailed real-time reports and nice debugging features. This app even has an “auto-pilot” feature, which lets you hand over maintenance tasks to AI. : Open source for local testing; free in the cloud, with paid plans from $349/mo Pricing 15. — Comprehensive Selenium-Style Testing LambdaTest Offering support for over 3,000 browser and operating systems, LambdaTest is a truly comprehensive testing platform. You can use it on web and mobile apps, and the platform claims to be even faster than local testing. Another benefit of using LambdaTest is that you can use the platform to automate Selenium tests. If you have a different preference, the platform can handle Appium, Cypress, and JavaScript just as well. Other notable features include powerful debugging tools, and the option to test geo-location. : Free, paid plans from $15/mo Pricing More Useful Software Developer Tools 💡 Even outside the categories mentioned above, you can find great software development tools that enhance productivity. Here’s our pick of the bunch. 16. — Goodbye Spreadsheets, Hello Live Data AirTable Remember all the data you have been storing in oversized spreadsheets? AirTable provides a much more flexible platform for storing and sharing information. Just as importantly, the platform offers deep integration with all your favourite apps. : Free, paid plans from $10/mo Pricing 17. — Clean Up Your Code With a Click Prettier In simple terms, Prettier is a code formatter that makes your code...well... prettier. In addition, the one-click formatting finally puts an end to debates over styling. It works with most popular editors, languages, and frameworks. : Free Pricing Choosing the Right Developer Productivity Tools 👀 As we have seen, productivity tools for come in many forms. In this post, we only had space for just a few highlights. software developers If you are thinking of upgrading your workflow, ask yourself — which tasks are currently slowing you down? Which tasks could be automated? And could investing in a new solution actually save you time and money in the long run? The answers you come to should reveal where tools can improve your productivity. Once you have identified some areas for improvement, be sure to create free or trial accounts at a few different providers, and keep an eye on sites like and to spot fresh new solutions. Product Hunt Refactoring Library

17 Apps to Boost Developer Productivity

VCs, institutional investors and family offices descend on South Beach for the weeklong rave with Christo, Calvin Harris, Kaskade, Die Antwoord and Zedd If all of your crypto friends are racing down to Florida next week, it’s because world’s hippest art show, , is bringing together 77,000 fans, celebrities, collectors, institutional investors, family offices and venture capitalists for a week of epic partying and talks on decentralized art. Art Basel Miami There will be 4,000 artists from 268 galleries showcasing their works but the real story will unfold afterhours in popup nightclubs, elevators of the ultra chic hotels: , , , , , , , , , , , , and maybe, just maybe, Jeremy Gardner’s Crypto Castle Miami. Soho Beach House W South Beach Delano Miami Beach Edition Fontainebleau 1 Hotel Faena The Plymouth Freehand Sagamore SLS Brickell JW Marriott Marquis This year headliners announced include Calvin Harris, Kaskade, Die Antwoord, Action Bronson and Zedd! Last year, All Day I Dream/Lee Burridge, Bob Moses, Bjork, Chromeo, Claude von Stroke, Cut Copy, Diplo, Doug E Fresh & The Sugarhill Gang, Major Lazer, Markus Schulz, Paris Hilton, Rick Ross, Wu-Tang Clan, 2 Chainz, and 50 Cent performed. The Art Basel epicenter takes place December 5 through December 9 at the Miami Convention Center with satellite shows sprawling beyond which include Art Miami, Aqua Art Miami, CONTEXT Art Miami, The Directed Art Modern, INK Miami Art Fair, Faena Festival, Miami River Art Fair, NADA , PINTA, PRIZM Art Fair, PULSE, Red Dot Miami, SCOPE, Spectrum, Superfine! and UNTITLED. To get a sense of what Art Basel is like, check out by Florum Fashion. this 2017 pictorial review I’ll be on the scene speaking at the SCOPE Art Show on and tweeting all of the shenanigans . When Deals Turn Digital: New Technologies, Banking, and the Future of the Art Market @contentnow Here’s what’s on for crypto: Bass Museum, 2100 Collins, 33139 WHEN: Wednesday, December 5, 6–8pm/8–10pmWHAT: Bass Museum Opening Party featuring The Haas BrothersWHERE: HOW: https://thebass.org/event/member-reception-haas-brothers/ Soho Studios, 2136 NW 1st Avenue, Miami, FL, 33127 WHEN: Wednesday, December 5, 10pmWHAT: Die AntwoordWHERE: HOW: https://www.seetickets.us/event/DIE-ANTWOORD-at-Soho-Studios/373623 Lemon City Studios, 261 NE 73rd, 33138 WHEN: Wednesday, December 5, 11pmWHAT: ARIA with Guy Laliberte, Alex Neri: Maria Callas TributeWHERE: HOW: https://www.residentadvisor.net/events/1189938 disrupting a $64 billion marketplace. Featuring visual artist, .2–3pm Tokenizing Art with Forbes’ Rachel Wolfson and artists Jesselyn Contreras, Johnny Dollar, Carrie Eldridge and Rob Charles3:15–3:45pm Investors Panel with TheStreet’s Jordan French, Ausum Ventures’ Jeremy Gardner, Bluesky Capital’s Andrea Lecesse, Lex Capital’s Alex Mendoza, Kryptal Group’s Edna Yuan, Park Capital Partners’ Alexander Lopatine, Level 7’s Michael Blin, Crowdsmart.io VC’s Richard Swart. Nikki Beach, 1 Ocean Drive, Miami Beach, 33139 WHEN: Thursday, December 6, 9–6pm WHAT: Art Decentralized, The World of Distributed Masterpieces Vesa WHERE: HOW: https://www.eventbrite.com/e/art-decentralized-the-world-of-distributed-masterpieces-blockchain-art-registration-51810706217 Soho Studios, 2136 NW 1st Avenue, Miami, FL, 33127 WHEN: Thursday, December 6, 10pmWHAT: Action BronsonWHERE: HOW: https://www.seetickets.us/event/ACTION-BRONSON-at-Soho-Studios/373655 LIV Nightclub at Fontainebleau, 4441 Collins Avenue WHEN: Thursday, December 6, 11pm-5am WHAT: Zedd Basel Edition at LIV WHERE: HOW: https://www.tixr.com/groups/liv/events/zedd-basel-edition-11166 E11EVEN, 29 NE 11th Street WHEN: Thursday, December 6, 11pm-8amWHAT: G-Eazy Basel Edition at E11EVEN WHERE: HOW: https://www.tixr.com/groups/11miami/events/art-basel-g-eazy-11073 with Kiki Del Valle, SVP Digital Future, Mastercard Katya Fisher, Tech and Corporate Attorney, Fisher Catalotti Vanessa Grellet, Executive Director, Consensys Elena Zhavelev, Forbes contributor and Founder, New Art Academy, Martine Paris, Tech Reporter, The FinTech Times MasterCard Tent, 801 Ocean Drive, Miami Beach, 33139 WHEN: Friday, December 7, 10–12pm WHAT: SCOPE Art Show presented by MasterCard, When Deals Turn Digital: New Technologies, Banking, and the Future of the Art Market WHERE: HOW: https://scope-art.com/show/miami-beach-2018/programming , Christo best known for massive environmental installations like the Umbrellas in California and Japan, the Wrapped Reichstag in Berlin and the Floating Piers in Lake Iseo, Italy will talk about Miami Beach Convention Center, Auditorium, West Lobby, 1901 Convention Center Drive, Miami Beach 33139 FREE, open to the public, or watch live: , WHEN: Friday, December 7, 10–11:30am WHAT: Artist Talk - Christo, Tomás Saraceno, and Hans Ulrich Obrist WHERE: HOW: facebook.com/artbasel https://www.artbasel.com/events/detail/7854/Conversations-Artist-Talk-Artists-Influencers with Ruth Catlow, Furtherfield/DECL London, Matt Hall, Cryptopunks New York, Harm van den Dorpel, Artist, Berlin, and Orit Gat, Writer, New York, London — What are the social and political implications of decentralized financial networks? Is blockchain a reliable source for fundraising? How are artists using it in their artistic practice? Miami Beach Convention Center, Auditorium, West Lobby, 1901 Convention Center Drive, Miami Beach 33139 FREE, open to the public, or watch live: WHEN: Friday, December 7, 2:30–3:30pm WHAT: Art Market Talk — Which Art Problems Can Blockchain Solve? WHERE: HOW: facebook.com/artbasel **WHEN: Friday, December 7, 4:30–5pmWHAT: Brian Kelly, CNBC’s Fast Money Keynote at CryptoProExpo**This conference provides a market update and fundamentals, how to set up a crypto fund, how to identify blockchain investment opportunities including STOs, and the intersection of art, crypto and blockchain Fontainebleau WHERE: HOW: https://cryptoproexpo.com/miami-art-week-2018 Foxhole, 1218 14th Court, Miami Beach 33139 WHEN: Friday, December 7, 9pm–5amWHAT: DJ Jazzy Jeff WHERE: HOW: https://www.eventbrite.com/e/jazzy-jeff-at-foxhole-bar-art-basel-2018-tickets-52617016914 Basement at Miami Beach EDITION Hotel, 2901 Collins Avenue In List App WHEN: Friday, December 7, 10pm–5amWHAT: Saint Vie + Coss + Mateo WHERE: HOW: Historic Virginia Key Beach WHEN: Saturday, December 8, 3pm-7amWHAT: Rakastella feat Dixon + DJ Tennis WHERE: HOW: https://www.eventbrite.com/e/rakastella-2018-by-innervisions-life-and-death-tickets-46128112426 Nikki Beach, 1 Ocean Drive WHEN: Saturday, December 8, 8pmWHAT: Airthereum party WHERE: HOW: https://www.eventbrite.com/o/fly-by-airthereum-18269671711 Soho Studios, 2136 NW 1st Avenue, Miami, FL, 33127 WHEN: Saturday, December 8, 10pm-3amWHAT: KaskadeWHERE: HOW: https://wl.seetickets.us/event/2018-BLNK-CNVS-Basel-Pass/373660 Racket, 150 NW 24th Street, Miami Beach, 33127 WHEN: Saturday, December 8, 9pm-3amWHAT: DJ Jazzy Jeff WHERE: HOW: https://www.eventbrite.com/e/jazzy-jeff-at-racket-art-basel-2018-tickets-52616606687 Basement at Miami Beach EDITION Hotel, 2901 Collins Avenue In List App WHEN: Saturday, December 8, 10pm–5amWHAT: Bedouin + Guy Laliberte WHERE: HOW: LIV Nightclub at Fontainebleau, 4441 Collins Avenue WHEN: Saturday, December 8, 11pm-5am WHAT: Calvin Harris Basel Edition at LIV WHERE: HOW: https://www.tixr.com/groups/liv/events/calvin-harris-basel-edition-11066

Art Basel Miami on the Blockchain

Experty Blockchain Human knowledge Exchange Experty is a new, decentralized platform designed to assist in the sharing of knowledge, whilst ensuring that knowledge providers are compensated correctly, and knowledge seekers are getting the information they paid for. Real World Application What problems does Experty solve? In the current information age the sharing of knowledge has become an industry in of itself. Consultancy services encompass almost every type of business in the world, and these services don’t come cheap. Another major issue is security and trust. In order to carry out the transaction either the client must pay upfront and hope the provider will deliver on their promise, or the provider must give up their knowledge prior to receiving payment, which presents them with the same trust issue regarding payment. For this reason third-party intermediaries are often used, however, these large firms charge high rates for managing the knowledge providers companies are seeking to find. This severely limits the amount of information that can be managed by consultants, especially for smaller packets of information that are simply too cheap for third-parties to profit from. Furthermore it’s often unclear how consultants are charging for their services, which can lead to huge bills being racked up before the client is fully aware. And in many cases, the high cost of consultants does not warrant paying for information, and as a result both parties lose out. Experty solves those issues by providing a decentralized platform where providers can securely share their knowledge, whilst guaranteeing payment from the seeker without the worry of fraudulent activity causing either party to lose out. And since transactions cost almost next to nothing, any size of transaction maybe conducted. This opens up the possibility for even more experts in a particular field to share their knowledge, be it singly as a one person knowledge providers, or as company/business offering its own consultancy services. How Does Experty Work? Experty aims to revolutionise the way in which we share information. By revamping the traditional consultancy model and migrating the process online, the team will create a decentralized hub, powered by blockchain, where providers can list their available knowledge, and those seeking such knowledge may come to find it. The platform allows providers to advertise their services and set a rate per minute for their knowledge. Seekers may find the “knowledge” services advertised online, or directly at the exchange, and select the service to be connected with the provider. The knowledge is then exchanged via video or audio call, and charges are applied during the call at a rate set by the provider. Benefits of Experty The decentralized nature of the platform is highly secure and prevents outside DDOS attacks from taking down the system. Experty will reach all corners of the globe and remove regional restrictions such as time zones, and currency exchange rates. Virtually no fees means users can perform microtransactions for smaller amount of money that would normally not be viable with current international transfer fees. Services may be easily advertisted on websites, blogs and social media platforms, using QR codes and direct call links. Technology Behind Experty On-chain payments are executed using smartcontracts, however the team has developed off chain software to handles transaction if the blockchain posses any inefficiencies when handling calls. Smartcontracts have the ability to know if the caller has enough funds to continue with the call, and will cut communications, with a warning, should funds start running low. They also execute payments automatically and only applied during the time at which the knowledge is being shared All transactions on the platform will be charged in Experty Tokens, or EXY tokens, an ERC223 token on the Ethereum blockchain. The ERC223 token requires less Gas than the ERC20, and prevents the risk of tokens being lost. It is also fully compatible with ERC20.   These will be used to for payments between seekers and providers, as depostis from seekers for bookings with a knowledge providers, and to be staked by users for access to premium features such as scheduling, paid group calls, and conversation recording. The backend of the system comprises of 6 different components, these include: : All video and audio communication in the application uses the WebRTC protocol, also used in Whatsapp and Google Hangouts, to provide peer to peer data encryption. WebRTC Protocol : These call links will be available on the Experty marketplace, and can also be used online in websites, blogs and social media platforms. Full Decentralised Call Links : Instant payments will be execute by smartcontracts on the Ethereum blockchain upon completion of the call. Instant Payments : This application allows user to make calls to providers. It will be available for iOS, Windows and Android and will also be ingetrated into popular third-party applications for ease of use. Cross Platform Calling Application : This will show knowledge seekers when the provider is available; their working hours, as well as when they are already booked. Availablility Schedule : The wallet will allow users to manage their funds, and be exchanged with other cryptos. Payments will be taken out of the wallet upon completion of the knowledge exchange. Ethereum Wallet Who will use Experty? There are three types of users who may benefit from Experty platform, these include: : The party with the “knowledge” to share with those whom it may be applicable. Knowledge Providers : The party interested in gaining the knowledge. Knowledge Seeker : Companies with an existing client base in the consulting industry. Third-party Services The teams sees a wide range of applications for the platform, many of which are at the heart of expensive industries such as lawyers, medical consultancy, programmers, business advisors, professors, and language learning. By introducing an extremely cheap, decentralized platform that is agnostic to specific fields of industry, Experty has the potential to completely transform the way we share knowledge. Valuable Information Experty (EXY) Coin Name : — 100,000,000 EXY Total Supply : — 1 EXY = 0.98 USD (0.00100 ETH) Pre Ico Price : — Token Pre-sale starts on January 25 $8,800,000 GOAL Tokens/Money Raised Through ICO : Social Media Information Facebook Likes : — likes and — followers How Many Posts / Updates In The Last 7 Days : — post Twitter URL : https://twitter.com/experty_io Followers :17k followers How Many Tweets / Retweets In The Last 7 Days : 12 posts Telegram URL : — https://t.me/experty_io Users : 19 400 members Telegram Admins User Name: @testingherebot User name: @FloSupp User Name: @btcltcdigger User Name: @zepherius User Name: @@tomaszdyl Reddit Readers :1,859 readers Youtube URL : — https://www.youtube.com/channel/UC4wc6GUUozN1_t-IAWu3-mA Subscribers : — 176 subscribers Medium URL : — https://medium.com/@experty_io Followers : 1.4k followers How Many Updates In The Last 7 Days : 2 post LinkedIn URL : — https://www.linkedin.com/company/experty_io/?originalSubdomain=au Followers : 150 followers How Many Updates In The Last 7 Days : 1 post GitHub URL : — https://github.com/Experty How Many Updates In The Last 7 Days :2 posts Extra If you find more social media platforms or chats or other links please put them here. Staff / Team Info : KAMIL PRZEORSKI Name : CEO Founder Title : — LinkedIn https://www.linkedin.com/in/keepitstupidsimple/ : — Extra Links https://facebook.com/przeorski https://twitter.com/przeor https://github.com/przeor : TOM DYL Name : CTO CO-Founder Title : — LinkedIn https://www.linkedin.com/in/tom-dyl-20a52a123/ : — Extra Links https://github.com/dylo0 : GREG KUCMIERZ Name : Solidity engineer, co-founder Title : — LinkedIn https://www.linkedin.com/in/grzegorz-ku%C4%87mierz-8432113a/ : — Extra Links https://web.facebook.com/gkucmierz https://github.com/gkucmierz : BLAISE MATHAI Name : Communications Manager Title : — LinkedIn https://www.linkedin.com/in/blaisemathai/ : — Extra Links https://github.com/bmathai :SARAH KHAN Name : Project Director Title : ANATOLII MELNYK Name : Full Stack Developer Title : — LinkedIn https://www.linkedin.com/in/talibasya/ : — Extra Links https://github.com/talibasya : HUBERT STEMPLEWSKI Name : Mobile Developer Title : — LinkedIn https://www.linkedin.com/in/hubertstemplewski/ : — Extra Links https://github.com/hstemplewski : ALEX KOWALCZUK Name : Software QA Title : — LinkedIn https://www.linkedin.com/in/aleksandra-kowalczuk/ : ADAM STRZEMPA Name : Mobile Developer Title : — Extra Links https://github.com/adamstrzempa : PATRYK SZCZYGLO Name : Mobile Developer Title : — LinkedIn https://www.linkedin.com/in/patryk-szczyg%C5%82o-901b73113/ : — Extra Links https://github.com/patys : PAWEL ROKOSZ Name : Frontend Developer Title : — LinkedIn https://www.linkedin.com/in/pawelrokosz/ : — Extra Links https://github.com/PawelRokosz : MATT SACZEWSKI Name : Marketing Manager Title : — LinkedIn https://www.linkedin.com/in/msaczewski/ : — Extra Links https://web.facebook.com/mateusz.saczewski : LUKE KUBICA Name : Mobile Developer Title : — LinkedIn https://www.linkedin.com/in/kubicalukasz/ : — Extra Links https://github.com/lukkub : DANIEL CHMIEL Name : Fullstack developer Title : — Extra Links https://github.com/chmielik : Robert Stanford Name : Senior Engineer Title : — Rob is a Senior Engineer at DADI focused on content management technologies and distributed publishing models. His 20 years’ in software engineering brings experience with Node.js, Ruby, Redis and the usual frontend suspects. Rob joined DADI after working as the Development Lead for Comic Relief. He was previously a Senior Engineer for MTV, Virgin and the BBC, where he led the migration of traditional technologies to discrete web services designed for performance at scale. Bio : — LinkedIn https://www.linkedin.com/in/orinocai/ : — Extra Links https://twitter.com/orinocai/ : PATRYK HUZARSKI Name : Frontend Developer Title : — LinkedIn https://www.linkedin.com/in/patryk-huzarski/ : — Extra Links https://github.com/phuzarski : JASON KING Name : Unsung.org Title : CRAIG SELLARS Name : Ex-CTO Bitfinex, CTO of Tether & BLOCKv Title : — LinkedIn https://www.linkedin.com/in/craigcsellars/ : PAWEL BYLICA Name :Ethereum, Golem, Software Architect Title : — LinkedIn https://www.linkedin.com/in/pawelbylica/ : JOSH OLSZEWICZ Name : Blockchain Community Influencer Title : — LinkedIn https://www.linkedin.com/in/josh-olszewicz-3a62a7b/ : — Extra Links https://twitter.com/CarpeNoctom https://www.youtube.com/carpenoctom : LUIS CARRANZA Name : FinTechWeek Founder, Marketing Strategist Title : — LinkedIn https://www.linkedin.com/in/adcentered/ Name : SZCZEPAN BENTYN : Popular Polish Community Youtuber Title : — LinkedIn https://www.linkedin.com/in/szczepanbentyn/ : — Extra Links https://www.facebook.com/szczepan.bentyn : NICOLAI OSTER Name : Head of ICOs @ Bitcoin Suisse Title : — LinkedIn https://www.linkedin.com/in/nicolaioster : MICHAL PARASHIDIS Name : Security & Blockchain Advisor Title : — LinkedIn https://www.linkedin.com/in/michalparaschidis/ : — Extra Links https://web.facebook.com/michal.paras : CHRIS HUNICHEN Name : ICO and Token Mechanics Expert, Investor Relations Title : — LinkedIn https://www.linkedin.com/in/chris-hunichen-429014150/ : — Extra Links https://twitter.com/bighuni : KEN LIU Name : ICO and Token Mechanics Expert, Investor Relations Title : — LinkedIn https://www.quora.com/profile/Ken-Liu-29 : MAURO CAPPIELLO Name : Experty AG Board Member, Legal and Business Advisory Title : — LinkedIn https://www.linkedin.com/in/maurocappiello/ : MOE LEVIN Name : Founder of Blockchain Forum Title : — LinkedIn https://www.linkedin.com/in/moelevin/ : SIMON COCKING Name : Blockchain Influencer, Irish Tech News Title : — Extra Links https://twitter.com/SimonCocking : JAE KIM Name : Korean Investor Relations Title : — LinkedIn https://www.linkedin.com/in/jae-kim-3b8755146/ : JANUSZ NOWAKOWSKI Name : Blockchain and DevOps consultant Title : — LinkedIn https://www.linkedin.com/in/nowakowskijanusz/ Company Address : Experty AG ul.Wieczorka 11/9 44–100 Gliwice, Poland

Experty The Blockchain Human Knowledge Exchange

It’s all started doing some refactoring — I was playing with and and something tempted me do to a simple benchmark that revealed strange results. That's a second part in which I describe how I fixed it. It's about building Ruby's code, debugging it with and making it faster! Array Set lldb It all started with benchmarking [Array.include?()](https://github.com/pawelniewie/benchmark-set-array-contains/blob/master/ruby/array_include.rb) Comparison:               array:  1332567.6 i/s       array symbols:  1154135.9 i/s - 1.15x  slower Isn’t that strange that array of symbols is slower than one with strings? Symbols are supposed to be fast! I downloaded and started looking at it. Ruby’s source code I initially though the problem was with Symbol’s so I went looking for it. I found one for String easily in == string.c rb_define_method(rb_cString, "==", rb_str_equal, 1); But didn't follow the pattern, because it's also in :-) symbol.c string.c rb_define_method(rb_cSymbol, "==", sym_equal, 1); It was also simple to figure out where array is, that’s a no brainer: rb_define_method(rb_cArray, "include?", rb_ary_includes, 1);

VALUErb_ary_includes(VALUE ary, VALUE item){    long i;    VALUE e;    for (i=0; i<RARRAY_LEN(ary); i++) {    e = RARRAY_AREF(ary, i);    switch (rb_equal_opt(e, item)) {      case Qundef:        if (rb_equal(e, item)) return Qtrue;        break;      case Qtrue:        return Qtrue;    }    }    return Qfalse;} That lead me to then to and something didn't feel right: vm_insnhelper.c rb_equal_opt opt_eq_func static#ifndef NO_BIG_INLINEinline#endifVALUEopt_eq_func(VALUE recv, VALUE obj, CALL_INFO ci, CALL_CACHE cc){#define BUILTIN_CLASS_P(x, k) (!SPECIAL_CONST_P(x) && RBASIC_CLASS(x) == k)#define EQ_UNREDEFINED_P(t) BASIC_OP_UNREDEFINED_P(BOP_EQ, t##_REDEFINED_OP_FLAG)    if (FIXNUM_2_P(recv, obj)) {    if (EQ_UNREDEFINED_P(INTEGER)) {        return (recv == obj) ? Qtrue : Qfalse;    }    }    else if (FLONUM_2_P(recv, obj)) {    if (EQ_UNREDEFINED_P(FLOAT)) {        return (recv == obj) ? Qtrue : Qfalse;    }    }    else if (BUILTIN_CLASS_P(recv, rb_cFloat)) {    if (EQ_UNREDEFINED_P(FLOAT)) {        return rb_float_equal(recv, obj);    }    }    else if (BUILTIN_CLASS_P(recv, rb_cString)) {    if (EQ_UNREDEFINED_P(STRING)) {        return rb_str_equal(recv, obj);    }    }#undef EQ_UNREDEFINED_P#undef BUILTIN_CLASS_P    {    vm_search_method(ci, cc, recv);    if (check_cfunc(cc->me, rb_obj_equal)) {        return recv == obj ? Qtrue : Qfalse;    }    }    return Qundef;} I was going to say I hate formatting like that but turned out it’s because they mix spaces and tabs in the file. Duh! Looking at the code it’s pretty obvious — there’s no special case for symbols. I guess I kinda expected that Ruby has optimized methods written in C. Now it was time to figure out how to write the missing one. First, some set up. Run once to prepare make files (Mac OS X): autoconf CFLAGS="-O0 -ggdb" ./configure --prefix=/usr/local/opt/rbenv/versions/2.5.0 --with-openssl-dir="$(brew --prefix openssl)" --disable-install-doc Then to compile: make && make check && make install is a good starting point to understand what’s going on in the code. The most important lesson — you cannot a , there's for that. The Ruby C API guide printf VALUE rb_p Also you can debug stuff with and it's pretty simple (it's not though so ): lldb gdb commands are different lldb /usr/local/opt/rbenv/versions/2.5.0/bin/ruby -- -e "if [:test, :another].include?(:test); puts 'A'; end" breakpoint set --file vm_insnhelper.c --line 1279 process launch process continue Of course I was so eager that I tried many things before I finally searched for The Ruby C API guide :-D I thought it’s easy to understand and I could deal with C code as it was back in the days. When I read the guide it was obvious that I had to use : SYMBOL_P diff --git a/vm_insnhelper.c b/vm_insnhelper.cindex a991e59..476b5e2 100644--- a/vm_insnhelper.c+++ b/vm_insnhelper.c@@ -1296,6 +1296,11 @@ opt_eq_func(VALUE recv, VALUE obj, CALL_INFO ci, CALL_CACHE cc)        return rb_str_equal(recv, obj);    }     }+    else if (SYMBOL_P(recv) && SYMBOL_P(obj)) {+        if (EQ_UNREDEFINED_P(SYMBOL)) {+       return rb_obj_equal(recv, obj);+   }+    } #undef EQ_UNREDEFINED_P #undef BUILTIN_CLASS_P Now running the benchmark again: Comparison:       array symbols:  1630417.3 i/s               array:  1372269.7 i/s - 1.19x  slower Symbols are now faster! That’s how it should work from the beginning. As you can see it’s easy to browse C code. Also if you see something sticking out in your benchmarks it could be just a simple bug in the code. You need to remember there are two layers in Ruby — Ruby code and C code. If your Ruby code looks good could be C code that’s faulty. Created . PR with a fix Like this? Please click ♥ below so other peole can find it! Originally published at pawelniewiadomski.com on March 21, 2017.

Making Ruby’s Array.include? faster for symbols

This paper is available on arxiv under CC 4.0 license. Authors: (1) Jeffrey Ouyang-Zhang, UT Austin (2) Daniel J. Diaz, UT Austin (3) Adam R. Klivans, UT Austin (4) Philipp Krähenbühl, UT Austin Table of Links Abstract & Introduction Related Works Preliminary Methodology Results Limitations Conclusion, Acknowledgements, & References Experimental Setting & Additional Results 2 Related Works 2.1 Protein Engineering Protein engineering is the process of mutating a natural protein to improve particular phenotypes, such as thermodynamic stability and function. The field has historically relied on rational design and stochastic methods, such as error-prone PCR [1], DNA shuffling [71], and directed evolution (DE) [4, 27], to identify gain-of-function mutations. Rational design is limited to proteins with solved structures and requires an extensive understanding of biochemistry and specific knowledge of the particular protein to select mutations highly likely to improve the target phenotypes [33, 79]. Directed evolution requires little to no knowledge of the protein and instead generates a library of protein variants that are then screened for the target phenotypes (e.g. fluorescence brightness, antibiotic resistance, stability, activity) [4, 27]. The library can be generated via site-saturated mutagenesis of a handful of positions in the sequence [12] or DNA shuffling, in which the gene is digested into random fragments and reassembled into full-length sequences [71]. After screening the library, the most "fit" variant is then selected as the initial sequence for the next round of directed evolution. This iterative process repeats until it obtains a protein variant with the desired phenotypes. Machine learning has demonstrated its ability to augment rational design and accelerate the stabilization of a variety of proteins [20, 28, 40, 52, 68]. Separately, machine learning-guided directed evolution (MLDE)[75] has been shown to improve the likelihood of obtaining the global fitness maximum by 81-fold compared to traditional DE [76]. MLDE has accelerated the engineering of several proteins, such as the enantioselectivity of enzymes for kinetic resolution of epoxides [23] and the activity and expression of a glutathione transferase [46]. Mutate Everything empowers the experimentalist to accelerate the stabilization of a protein for both rational design and MLDE. 2.2 Machine Learning for Protein Structure Prediction Recent advances in machine learning have led to remarkable progress in protein structure prediction. AlphaFold [31] has demonstrated that deep learning is highly effective at predicting protein structures from a sequence by using evolutionary history via a multiple sequence alignment (MSA). AlphaFold passes the MSA and a pairwise representation of the sequence into Evoformer to capture the coevolutionary patterns between residues. The Evoformer output is then processed by the Structure Module, which predicts the protein’s structure. We challenge prior works postulating that AlphaFold cannot be used for stability prediction and show that fine-tuning these rich co-evolutionary and structural features yield highly performant stability predictors [53]. Evolutionary Scale Modeling (ESM) [38, 62] has shown that protein structure prediction can be performed without MSAs and specialized architectures by leveraging large transformers pre-trained on masked token prediction. Other works extended this masked pre-training framework, including MSA-Transformer [60] which incorporates a sequence’s MSA as input, and Tranception [49], which develops a hybrid convolution and attention based autoregressive architecture. We show that finetuning these evolutionary representations excels at protein stability assessment without MSAs. 2.3 Protein Stability Assessment Traditional approaches to protein stability assessment relied on a combination of physics-based methods, statistical analysis, and traditional machine learning techniques. Physics-based tools, such as FoldX, Rosetta, and SDM, utilize energy functions and statistical patterns to assess how mutations affect a protein’s stability [32, 67, 77]. DDGun [44] directly inferred ∆∆G from heuristics, including Blosum substitution scores, differences in interaction energy with neighboring residues, and changes in hydrophobicity. Many traditional machine learning approaches used support vector machines and decision trees with physics-based feature engineering [11, 14, 15, 17, 37, 66]. Others ensemble existing machine learning methods [35, 56, 59, 63, 64]. Recently, deep learning-based approaches have recently begun to outperform existing physics and traditional machine learning approaches [13, 19, 34]. ACDC-NN [6] trains an asymmetric convolutional neural network for predicting forward and reverse mutation effects. Thermonet [36] voxelizes and feeds both the wild-type and mutant protein structures into a 3D-CNN to regress a ∆∆G value. PROSTATA feeds the wild-type and mutant protein sequence into a pre-trained ESM2 model and then regresses a ∆∆G value [74]. Stability Oracle takes the native and mutant amino acid type along with the local structure as input and regresses ∆∆G [18]. Several deep learning frameworks [64, 80, 81] model multiple mutations in addition to single mutations. In this paper, we develop a framework that models the protein to enable efficient enumeration of all mutation candidates.

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