question who knows four of you know salando okay that's only a few next question are the people who know salando how much engineers do you think work at salando so maybe raise your hands we have around 50 and hundred engineers no one okay few then between hundred and 300 okay and between 500 and

800 okay yeah so basically for the people who doesn't know who don't know

salando salando is actually the biggest fashion company in Europe and we are also the fastest growing fashion company in Europe this is our website so basically most people actually know us from the advertisement with the

screaming people and that that was how we started and now we yeah we are the perfect combination actually between fashion and technology so our tech Carter is in Berlin and we also have offices in Dublin Helsinki Dortmund

mentioned at birth and effort and we have more than 800 tech people working in the technology department now and we want to hire a lot of more engineers within the next years so and what technologies do you use at salando well these are some of them but in the future I think we can say

everything because at salando we believe that every team knows their job best and every team is doing he knows their product best and every team can choose best technologies for the job we have lots of Java engineers but we

also have Python Scala we use Docker for our deployments on AWS we also have some people that are very passionate about no JS so if you like no JS we also have a place for you we use Cassandra postgres you name it so we

our foundation principles are and what you we want to do is be API first so when we do a new project we build first API and then we think about implementation this way we are not stuck with the implementation and we

don't have to worry about technologies that consumers office business of an API are using and we can shield ourselves from it we use rest we use software as a service and we want to do it more we are migrating to cloud

to AWS and we are currently migrating from our monolithic structure to micro services because we believe that's way to do to do if you want to be reliable if you want to be scalable and if you want to give teams autonomy and freedom to make their own choices so basically you already mentioned some

things we want to focus on now so actually we implemented radical agility in the whole technology department in the beginning of the year to really focus on trusting our people and their abilities and we want to give the people give our teams the way like an and the an autonomy so that they can

really be creative and that people that also projects get get done quick more quickly we will implement a true of mastery for our employees and technology so that they can develop their skills and also exchange their

knowledge and we also try to really develop our leaders so that they can manage their teams better what is really amazing about us so we have tech talks every week where people really talk about their projects so everyone

knows what is going on we have two heck weeks a year where actually people coming together build new ideas and now we also have a innovation lab which is amazing because those ideas are not just ending after this week but we can implement them in the daily work and from you know those of you who are like fashion addicted like me we also have 40% discount if you're working at

Solano and yeah if you want to learn more about us please visit our tech blog we are also here till Thursday actually there's going to be a colleague from Dublin tomorrow so just come over and ask all the questions you want to know okay can you hear me if I stand this far away from the mic is

that okay thumbs up in the back thank you very much so we that was a very great presentation by Solano good job we have no slides nothing nothing of the sort in fact we didn't know we were gonna do this until a few hours ago your lisas and I are not from HR we are both engineers so we're here to tell you a little bit about data robot a lot of you have probably seen

our display out there and some of our stuff is stuck in Madrid so come back tomorrow and we might have some t-shirts well we're getting there so I guess we can start by saying what data robot is and what we do that probably a good start so we're building a tool for predictive modeling so people

in the world have data they want to use this data to make predictions like an insurance company want to predict if you're gonna get into a car accident or if one of your credit card or not it not an insurance company a credit card company wants to know if one of your transactions is fraudulent the way that they do this is they look at lots of old data and build a model and then we are building that tool for them to build that model much

more quickly so there are applications for data robot in insurance and in banks and in pharmaceuticals and in telecoms and in sports analytics all over the place I'm obviously a little biased but I think everyone should be able to use data robot it's good so Ulysses why don't you tell us or tell

these fine people what sort of technology we use yeah sure so we use Python of course also some NoSQL databases, Redis, Mongo we use a Docker for deployment as a matter of fact we use Docker for multiple things distributed testing deployment and also for some prototyping as far as the

Python library as well we are all about machine learning so there are multiple libraries out there that we use like pandas, numpy, cycler yeah so if any of

this sounds familiar we want to talk to you even if you know what we're talking about but you're excited about it we still want to talk to you that's pretty much how actually I joined a robot I was very curious about the stack didn't have much experience in it but it's pretty much I guess what

got my my interest so anyway Python backend engineers, full stack engineers, DevOps there's a lot of automation that we're building around our infrastructure and you know we're all about automated testing of course a continuous deployment so there's a lot of work to do around the

infrastructure side yep so yeah we use Python for our entire stack except for the front end that's all JavaScript but because the data science and the web frameworks they're all able to do in Python we're one big happy Python family but specifically some things that we we'd like different packages and

things we do we're fans of Python 3 not all of our stack is in Python 3 but we're moving that direction so if you're a fan of Python 3 come talk to us we really like machine learning obviously but we're big on automated testing so if that excites you that's we'd like to talk to you continuous deployment letting measuring and monitoring determine our decisions

and our engineering you know I guess decisions and also distributed computing so if any of those things sound interesting to you we'd love to talk to you the kind of problems that we think about and that we want to solve in the near term are training our models on larger and larger data sets scaling

out to terabytes and petabytes of data we'd like to move more towards a microservices oriented architecture so if you've ever done that or you think that sounds cool that's one of the things that we're thinking about oh I'm sorry I let it go to sleep

because that's all we have to say those are the kinds of things we'd like to work on come talk to us this is Clark he's a data scientist his job is

to build accurate predictive model everybody can hear me okay yes okay thank

you and so I'm here today to talk about fun Jill and so who are we what do we do fun Jill started with five people in Edinburgh in 2009 and today

we are the market leaders in one day fantasy sports in North America 300 strong across Edinburgh Glasgow Orlando New York and soon-to-be LA now our technology base is in Edinburgh and Glasgow and that is pretty much why we're here today we are continuing to grow so we are looking for developers

right across the stack particularly obviously Python so we couldn't bring our office to you to show you how fantastic it was and we couldn't bring everybody from fun Jill to show you how fantastic they are so instead I thought I would show you this and now I need to know how to so any

questions please come and see myself and Julie at our stand hope to see you that's why we focused on the u.s. and that's why we focused on fantasy sports we lost fan Jill in 2009 with five co-founders the reason we launched

was we saw it was a big market but we felt the existing product weren't great and we could do it a lot better fun jewel is a fancy sports game it takes the traditional concepts of playing fancy sports over entire season and shortens it into one day we saw a real opportunity because there was a lack of innovation in the fancy sports industry I remember our first paying customer we managed to get $5 from them

and we pinned the notice up on the wall this was so exciting and I remember discussing with the CEO about how we can bring more players into the game and I remember him saying to me we just need three paying players each day and we'll be okay and now you know we're getting 10,000

a day so this year will pay out over 500 million dollars in prizes next year will pay it over a billion dollars in prizes there's over 40 million and fantasy sports players in North America and over a hundred million sports fans and we've got slightly over a million paying players we've only just scratched

the surface of this market we've actually created this whole new category and from a business perspective that's very exciting it's funny more and more people in the u.s. have heard of banjo but in the UK we're still relatively unknown nobody realizes we're building a billion dollar business on their doorstep we serve over a million users across web mobile and

tablets at peak times they are making up to 200 entries and edits per second that's the equivalent of selling out Wembley Stadium every eight minutes the tech that we're using a fan jewel is exciting because we're solving problems and doing things that no one has ever done before we are looking to double our headcount by the end of 2015 from 120 staff to 250

and that's across our headquarters in New York and our offices in the UK it's about the people that we get to work with we get to work not only with other developers and designers and so on but also with because there's a New York office we get to meet people that we wouldn't normally get to meet

we're not only building a company we're building a team we're moving forward together to our success it takes a lot of people to make a winning team and everyone's contribution is important so we've strived really hard to build almost like a Silicon Valley type culture here in the UK so it sounds a bit cliched but it really is work hard play hard every week there are

new faces in the office is amazing to see how quickly the team's growing you're gonna get interesting and difficult challenges here on a product that serves millions of users on various platforms you know if you want to work for one of the fastest growing web companies in the UK then take a look at our career space today

okay welcome to the recruiting session my name is Christine Doig I'm a data scientist at continuum analytics and Fabio here also works at continuum analytics he's a software developer working on bokeh I'm working on blaze I don't know if you've seen any of us in our different talks that we've had at your Python we also have a booth so if after this session you

want to talk come talk to us feel welcome to come so how many people here have heard of continuum analytics how many people have heard about Anaconda okay so there's a few not everyone I've had a lot of people

talking during the conference who don't know about Anaconda Anaconda is a free Python distribution with a lot of packages for scientific data science and analytics that's already compiled that you can download and it solves a lot of problems that people have with installing Python in Windows and also in

some of the libraries that have C or Python C or Fortran bindings at continuum we have a product called an anaconda server that's built on top of the anaconda free distribution and it allows large corporations to

manage their package infrastructure and have everyone download install internal that internal binary packages besides that we also do consulting and training in both Python Python and also finance applications here's our

website continuum that I own we also have support a lot of the open source Python scientific and data science libraries and we are actively recruiting we are growing a lot last year when I joined we're about 50 employees right

now we're around around 130 and joining every day this is our office in downtown Austin we have more or less around 60 people there another office

in New York with around 15 20 and then most a lot of other people are remote working in both in other cities in the US but also in Argentina Colombia Poland UK France Spain right now we're in Italian office so we're

hiring Python developers people that can do finance that are experts in finance too we have a lot of our customers or hedge funds and and banks especially in New York web app developers and C++ and and also in

general anyone who really loves open source and Python so we're everyone we employ people all around the world as I said and you can find all the open careers at the website continuum.io slash careers or stop by our our booth

we're gonna be here all week. Don't have much to add just that as Cristina said we really care about open source community we have a great great company environment a great it's great to work with really smart

people that share the same passion for community open source and everything so if you are interested come reach us and let's talk thank you so hi

everyone we are scraping hub as you might have noticed sorry we extract data from the web people collect data we're a fully remote company we

started remotely it's part of our DNA it's part of our culture the company started five years ago and we have double each year more than double each year we are now a hundred members spread all around the world as you can see we have a very generous benefits package we offer vacations

hardware allowance online services allowance we also offer that's better we also offer the opportunity to work on open source projects we have more

than ten open source projects we have many challenges we have scraped 11 million items last year and there is a very big infrastructure behind that so

if you like challenges but to apply for a show at scraping hub and please visit us our booth if you want to continue talking thank you I'm in the

open-source program office we are building worldwide world-class cloud and we do speak Python penguin and whale among other things so if you are interested in being part of that team whether it be Python or OpenStack

we're hiring many developers to participate in those teams if you're interested in other projects like Cloud Foundry or Hadoop or are we also have teams for that so if you go to hp.com slash jobs you can do a search when I did a search earlier this week for careers in Python there were

currently over 300 jobs so wherever you are in the world whatever technology you'd like HP's a company that will will provide you the opportunity to grow in open source as well as in technology so come stop by our booth or ask me any questions at any point this week this is our

fourth Euro Python and we're very happy to be here it's always been probably I would say our best recruiting event globally year after year the question

that I always get year after year is how can I get a hat and everyone asked it no matter what event we go to and the answer to that is it's really quite simple we give a hat to every new employee on their new hire orientation so if you really really really want a fedora then you need to

talk to us at our booth and we can tell you all about the opportunities that we have this tells you a little bit about what Red Hat does most of you probably know Red Hat for bringing Linux to the mainstream but we also have solutions in middleware it's mostly J but it's J boss it's mostly Java virtualization we have a management suite that is all written in Python

cloud which is OpenStack OpenShift so infrastructure as a service platform as a service heavy Python there are large pieces of the operating system like Anaconda installer that is completely Python and we also have a storage division so we're looking for software engineers test engineers DevOps even

some evangelists with Python skills and why Red Hat I think the number one reason to choose Red Hat is the commitment to open source every product that we put out is completely open source if we acquire a company and it's proprietary the first thing we do is take it open source we're consistently

rated as for one of Forbes top employers for software engineering we're also very likely to hire you remotely if that's something you'd like to do in Europe our largest engineering office is in the Czech Republic in Brno we're actually relocated four years ago and it's fantastic we have 800

engineers they're working on all of Red Hat's products so we can bring you there or we can hire you most likely where you are and the company's doing extremely well we've had 53 consecutive quarters of revenue growth so it's a good time to join Red Hat so how to apply stop by the booth come talk to us we've got a lot of engineers here this week that would be happy to answer

any technical questions you have or tell you about the projects that they're working on you can talk to Yuri Folta who's down here in the front with the camera or myself we're happy to talk to you you can check our career site one thing I will tell you is if you see a job you like don't worry about where the location is listed if it's listed in the US but you want to work from here apply for it ping me ping Yuri a lot of times we move the

job where the talent is and you can reach out to us on Twitter so that is it so hopefully we'll see you at new higher orientation and we'll put a hat on

core developer of site on something compiler and maybe also the XML XML framework it's a couple of years ago I decided to start working at scooby and so scooby is the leading German provider for an e-book subscription

service so you can think of it as Spotify for ebooks and as I said we we've gone online in 2012 and we've basically you know the market and last

few years so we have the largest catalog with 130,000 books in total which means that you can sign up with our service pay 10 euros a month and then read as much as you can't possibly think of so I have all

sorts of huge catalog with lots of content I see a couple of books here most of it is as we're German bases in German but we have large international catalog and we're constantly drawing it we're working

together with publishers we have pretty much all German publishers on board by now and we're constantly increasing the amount of publishers that we get on board so it's like we're not doing self-publishing what I'm saying is like real publishers titles meaning books you actually want to read

um so so what do we do at scooby I basically pretty much are oh let's say most of our infrastructure that we've developed for all the way from getting

books in from the publishers up to getting them through the to our subscribers our customers is running in Python on AWS so we're doing cloud deployment and that's the technology framework you're coming into we're doing asynchronous programming so we're using tornado as our main web and rest front

end platform and so we're really doing cutting-edge development on our side yeah and so that's the the one back end parts so we're doing web web developments and our back-end part is basically using the same same

infrastructure so also not a base and apart from that we're also doing so we were working with our catalog once you have such a large catalog with so many books and so many users um you start facing the problem that you know you

need to get the content to users and large catalog becomes difficult to navigate and people can't be sure that they find the content they want so what we're working on is enabling our users to find the right content for them make it easy for them to to you know get the books they read they

don't want to read finding the content they like having recommendations having automated ways to to bring the content to our users and make them happy and that's basically the thing that motivates us so making

our readers happy and we see that every day that there are because we're talking to them directly we have them on the phone so they call of problems and we can just tell them okay and this is how it works and they'll just you know they go I'm so happy you're there because this is best service I was using the last couple of years and so that's the feedback we kind of we we

currently get and so we're very happy that we can we can keep that up and you know keep you making our users happy and that's what we're working on every day um so if you're interested in job offers we're that's that's us we're

actually a pretty small company we're just about 15 people and well being a market leader of 15 people is it's tough but it's it's very motivating and we're constantly we're growing we're looking for you to help us keep up our vision of making our making readers happy making them get in getting people

read the books they like find the books they like so we're looking for for web developers second developers Python developers in general but definitely good developers so people who know what they're doing and who

help us achieve our goals okay so here's a little this our app you can read us read scooby on Android devices and iOS devices it's a native app and it feels really nice you can just download it from the from the

Google Play Store or the Apple App Store we're also available for for Kindle fire devices so just give it a try see what we've achieved so far have

fun reading a bit and then yeah come and meet me I'll be around for the next couple of days on the conference and you can see my t-shirts so whenever you see someone from scooby just talk to them get in touch with us we have to hear from you thanks everybody I'm Philip I work for blue yonder blue

yonder is a predictive analytics company and what we basically do is we build predictive applications to fully automate business decision-making for

clients in various markets such as retail travel transport industry logistics and so on and our apps are heavily relying on Python complete stackers and Python and we use some of these technologies you'll see listed here and of course our applications incorporate lots of data science know

how because they're mainly based on machine learning algorithms and currently blue yonder has around 150 people right now we are really fortunate to be growing really fast and this is why we actually search for clever people who

are experienced in software development as well as data scientists we really like open source software Python has already mentioned we really like clean coding DevOps continuous delivery and so on currently we have three office locations our headquarters are in

thousand Germany and we have an office in Hamburg and one in London most of us are actually writing code every day which is quite nice so not so much management at blue yonder if you would like to know any more details about blue yonder visit our booth we are here all week and yeah that's it

thanks I've only got one side hi I'm Alice I'm from cluster HQ your company

that is based in the UK in Bristol which is a really great city if anyone's been there we also based in San Francisco in the US and we're looking for people also who would like to work remotely oh sorry I'll start again

I'm Alice from cluster HQ we're a company that's based in Bristol in the UK San Francisco in the US and we also have some remote workers and we're a start-up with Silicon Valley stunt and Villa Silicon Valley

funding we started in Bristol about five six years ago and we've recently pivoted to have a product that works alongside Docker to manage the data that in containers so the positions that we're recruiting for engineers who can write Python at all abilities developer evangelist and infrastructure

engineer so our booth is near to the entrance when you come downstairs we've got more information about the different jobs and things there so I think we've probably seen some of you we also have t-shirts coming again stuck in customs at the moment so hopefully but before you all go home

we'll be able to give them out to you I'm just going to hand over to Richard he's going to talk a little bit about our product Flocker which is an open-sourced product thanks Alice so I'm Richard I'm a senior engineer at cluster HQ our slogan is container data management and what that means is

that we're developing an open-source product called Flocker which is designed to help you move your stateful docker containers from server to server and we do that using technology like ZFS and we use we use

we have a different system which uses cinder and open stack and we have a third back end which uses Amazon and EBS block devices I've been involved to tell you a bit about what I've been doing recently at cluster HQ I've been

working on the open stack and cinder driver for Flocker and it's been it's been an interesting learning experience for me it works by attaching creating and attaching EBS block devices to a virtual machine creating a file system

on the block device and mounting that file system and that file system then becomes associated with the container whose data you want to save and make portable and when you make a call to our rest API Flocker will detach the the file system sorry it'll stop the container detach the file system

unmount the file system I should say detach the block device and then reattach it to the new server before starting up the container on that new server what else can I say it's it's a great place to work I've been there

in Bristol for one and a half years so far and I'm working with some of my I don't know how many of you have sort of programming heroes and mentors but I I'm really excited to be working with the twisted developers Jean Paul Calderoni, Itamar Turing and Jonathan Lang all three of them were

kind of there at the very start of the twisted project and they're really smart people to work with but I work with a whole bunch of smart people and we're distributed all over the world and that's that's the other interesting part of the job for me is the amount of traveling and and the conferences I've been to and the the interesting people I've met since

joining the company so I would recommend joining coming and seeing us at our booth and and find out a bit more about the software and the roles that we've we've got on offer and I think Adam you're gonna tell us a bit about how we write the software so we almost exclusively use Python and as

Richard mentioned twisted and we really focus on making high quality code so that's the main thing or one of the main things we're looking for in a developer is not necessarily someone who has experience with ZFS, OpenStack, Docker, twisted although those would be nice but we know that we're quite

limited with that so we're looking for people who really like writing high quality code so we do things like test driven development everything goes through code review lots of CI kind of things and we really have a culture of knowledge sharing so like Richard has some of his programming heroes

me too there and I've learned a lot working there and I really really recommend it for that and one of the cool things is that like someone mentioned right you mentioned about Red Hat also like us all our stuff is open source and we also give back quite a lot to the open source projects that we depend on and like we're kind of allowed to do that and

contribute back and get back to the community when we want to yeah so we've got our own side projects which aren't locker and also just if we find bugs or one features in other libraries it's pretty nice that we can spend some

of our time working on that