 Let's welcome Dr. Yves, he is the author for the Python for finance book and he's a keynote speaker for the Python happening from tomorrow and we glad to have a few minutes from him to hear from him about the Python and the finance. So over to Dr. Yves. Thanks very much, it's a great pleasure and honour to be here. It's my first time in Singapore, so actually indeed for the keynote and the tutorial on Saturday and this was just decided before the meet-up but I'm more than happy to speak a little bit about what we do. It's all centre of Python and finance. I've just opened a couple of my websites. I have pulled together them in a file that I can share that you can make a picture or share with the organisers. Most of the information and links you can find on my website which is my last name hillpitch.com. This is actually what it is and you can go through that, get a summary, many, many links. As you can see I'm the founder and managing partner of the Python Quants. The name suggests what we do. I authored a couple of books. I will show you a lecture for computational finance and I'm also lecturing at the CQF programme. Some of you might know I'm organising meet-ups and conferences around Python and finance. You find there things like the 7-minute video about Python for Quant Finance. You find also my two-page overview about Python for computational finance and why it's taking over. More or less this is a summary of what you will see here anyways. I don't want to go through the details. If you want to follow me and want to stay up to date, you should follow me on Twitter. DYGH is the Twitter handle but again I have compiled all these links for you to take a picture later on. The Python Quants is our company. What we try to do is making the best of open source for Quant Finance. So we are coming out of a time where we did many client work, doing development work, consulting around Python. Other open source technologies like R for Quant Finance. So we are more and more developing to an education and training company. More on that later on. On our website tpq.do again you find a couple of links and stuff that we do. So if you go there, again I don't want to go through details. You will see what we do but I show them in detail. Probably I'm best known in the meantime around the world for my Python books. The most popular one is Python for Finance. The O'Reilly book. A little bit smaller. This is selling quite well still. And I guess this with kind of a void in the space in that I cover a little bit of finance and cover quite a little bit of Python. And it makes kind of I guess a good combination to get an entry point. It doesn't teach Python from crowned up. In a sense it doesn't teach finance either. You should know a little bit of both actually. But many people who were working in this space actually have either finance background of working with finance and having had experience and programming with MATLAB, R, VBA or whatsoever. And a little bit of background in both disciplines. I think it's kind of a good book. And I sold a couple of thousand times actually. My second book which was actually written before the first one but it came out later. It's derivatives analytics with Python. There's more involved. This teaches actually quantum finance and uses Python to illustrate everything. There is around about 5,500 lines of Python code. But it doesn't really explain how to get from the equations to the implementation. So in combination with the red book you get the complete deal. So actually this was kind of the idea to write this red book with O'Reilly which fills kind of the gap here from quantum finance to Python. And in combination of course I think that makes a complete picture when it gets to quantum finance. Then there is the third one. It's listability and variance derivative. So you see it's getting more and more specialized. This is now on the product level. It's an outgrowth of a client project that we did. This is now with Wiley and in the editing process. It should be out around end of October, beginning of November, something like that. I'm now missing maybe my deadline to get back with feedback. So I have gotten kind of a thing from the publisher, but I haven't had a chance to have a look at it. So maybe I'm the one in the end who was postponing publication. Yeah, these are the three books. And I'm currently thinking about writing a fourth one. Python for algorithmic trading, or somewhere from Kontobian as first. Maybe Thomas Wiecki or somebody else. Maybe I would rethink it, but many people have asked me about writing such a book because there's obviously lots of interest in Kontobian. There's one of the lighthouse examples there that algorithmic trading is kind of a nice thing and of interest for many people out there. Yeah, these are the three books. And I guess due to the Wiley book, which is the best-selling one, many people know me around the world these days. Then what we also do is providing a platform. Our approach to the platform is completely different to what Kontobian is. We're not completely different, but we are more or less focusing on providing a set of tools that we curate and we use the platform more or less as a tool and not as a thing in and of itself. So the platform itself doesn't do that much apart from providing shell access to the server. It should be done by editing, live chat. Now what we are using it extensively for is providing trainings in a systematic fashion and so forth. And it's completely free. We have a couple of thousand registers, I guess around 5,000 registers on the platform and we're using it more or less on a regular basis like with all these numbers. And in total I guess we have an outreach in the community to about 10,000 people around that. Not only due to the platform, a couple of other things that we do. For example, our conference series, this started out in 2014 when we did our first four Python Quants conference in New York. Already quite successful. It started out with a one-day thing only. And this year in New York, which was for the third time, we had already five days. So we're now starting Monday morning, 9 o'clock and end with the after-conference beers around midnight on Friday. So it's kind of a very intensive week, but really nice. What we do there is we have four bootcamps. If I scroll down, you also see the numbers. Everything is broadcast live, so many people also from Asia will follow us online. We have an introductory Python for Finance Bootcamp and a technical one covering things like perform IO visualization and a couple of other things that we have. This is actually new or was new this year, Python and Excel. Many people are obviously interested in providing these two major technologies and the financial bootcamp is more or less about algorithm trading, automated trading. And then the fifth and final day on Friday is the conference day. And this year, Delaney was speaking at our conference as well. So I'm hoping we have a couple of points where we're working together. But we also had, for example, Jim Gatherer. I think he's well known in the Confine and Space. We gave a keynote about rough volatility with Python and many, many others out of the space. And as a niche conference, obviously the focus is indeed on Python for Finance. But I consider what we do here as a further subset, even a more niche product compared to PyData. If you think of Python, you have Web Power Up, you have PyData, and below PyData I would put ourselves here with the for Python conference that we, I do with Fitch Learning once a year in London, once a year in New York, and we are thinking of doing it in Asia as well, maybe in Singapore in the near future. But this is still in discussion. Then another point where we're working together with Quantopia is this year's ARPM Python conference, which will be held for the first time. So it's another conference that we are now involved in organizing. But this is, within the Quant Finance space, this is then focused on risk management and portfolio management side. So again, a little bit more niche to what we do for our other conference. And you see the more major an industry gets, the more specialized you see the products and things going on there. Conferences, events, public trainings are the only thing that we do. I'm also organizing two meet-up groups. Python for Quant Finance in London is my biggest meet-up group. We have there, let me see, almost 1,500 members to see down there. And we have roughly eight meet-up events over the year. Again, compared to PyData London, which is at least of my knowledge the biggest Python group we have, they have roughly twice as many members and twice as many meet-ups. But for our niche effort there, Python for Quant Finance, I think we are good. And you see like 158 sign-ups. So roughly up to 100 people we have per meet-up. And I'm really grateful that Thomson Reuters is usually sponsoring with kind of a nice venue, trains and infrastructure there. So really excellent to have these partners that otherwise our meet-ups and events wouldn't be possible. And neither for Python for Quant's conference nor for Python for Quant Finance meet-ups with our partners like Fitch Learning and Thomson Reuters. Then this is actually my focus currently, our training side. I mentioned before we are more and more moving in this. And the demand was obviously always there and now we can fulfill it with our online trainings which are centered around financial data science, agritrading and computational finance. So these are also the major classes actually. We see here currently we've had the first round of Python for Financial Data Science. We are now close to finishing the Python for Agritrading class. The next one will be centered around my derivatives analytics book, Python for Computational Finance. We then have a couple of pro topics that we cover like Python and Excel. Best practices with Python. I'm currently in discussion with other experts like Francesca Tett, which is well known in our ecosystem about adding a database class with Python. So building more and more things that we can provide online there. And this is actually something I'm really proud of that we're the first to offer a Python for Finance university certificate. So if you finish all these classes as a package and pass a final exam or project, then we are able to award with our German university, HTW, University of Applied Science, in the silent area where I'm from to issue a university certificate and not kind of a certificate. Within Europe this can be ECTS, which is European Credit Transfer System, where people are studying for Master's degree, can even be brought into a master program that you are doing there. And this is the next step. I'm in discussion with designing and providing a complete Master of Finance degree out of Germany, but obviously virtually delivered globally these days around these topics like Master of Science for Financial Data Science and Computational Finance. This is actually currently our focus. I'm really happy and this is evolving really, really well and taking up at least 50% of my time at the moment. In addition, I'm also giving corporate training for hedge funds in London and so forth. So training and education has become kind of the big thing. Again, here the Article of Computational Finance where Python is taking over is on my website. So if you want to have the two-page summary, I think this is the best go-to source summarizing a couple of things about the language, the ecosystem, what we do, how I see the industry. Obviously, this is kind of a marketing piece, kind of a research paper, but they didn't complain about that actually. So that much about what we do. Everything centered around Python for Finance. I'm German. I'm Germany-based. We are operating out of Germany, but globally is kind of a big word, but at least in the financial centers around the world. So I was 10 days ago in Basel. I will be two weeks in Zurich, which are maybe the smaller ones, but still important. I'm living close to Luxembourg. Usually I'm regularly in Frankfurt two times a month in London, a couple of times a year in New York, and now we are maybe getting more and more over to Asia as well. Yeah, I've compiled and I promised an overview. These are all the links that you have seen. So if you're interested in following up, but usually just if you google my name or the Python Quants, that's kind of quite easy to jump from one thing to the other. I want to do more things in Asia. So if you are interested in any of our training offerings, just refer and use the code PiAsia, then you're good for a 30% discount just as an offer. Now that I'm here and again, you find everything and if you have questions, I've put a couple of cards over there that if you're interested in my email address or whatsoever, pick up a card. And yeah, that's more or less in what I have to say. I offer, I mean, if time allows, I can speak a little bit about Python, but I see it's kind of already quite a bit late. So this was more or less a little bit of a marketing review of what we do. One marketing question. In your company, the local, where the snake is trying to bat itself? So say it again. The last part of your question I understood, the first part. Yeah, the local of your company, right? There's a snake and there's a barn truck inside, but the snake is trying to bat itself. Do you have any meaning? Not really. This was kind of... Usually I get the question, I don't have an email on the cover of my O'Reilly books. I don't remember the English name in German. It's a Schlitz or Ursula. I've never heard it before. So I have a concrete answer to that. There was no discussion. I mean, we decided for this logo. They provided the logo designs, and we decided for that. No, no deeper meaning. We Germans are really practical, so we thought it would be good, and then we went for that. Other questions?