YouSaid · the spoken record

Travis Oliphant

lines on the record: 265
first: 2021-09-23
most recent: 2021-09-23
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“Build up, you know, attract people to your new thing, you'll be far better, right? You don't need to destroy something to build something else. So that's, I guess, generally. And then definitely curiosity, follow your curiosity and let it, don't just follow the money.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“The things you care about, you might change your perspective over time. I certainly have over time. I was really passionate about one specific thing and I was kind of softened. I was a big, I didn't like the Federal Reserve, right? And there's still, we can have a longer conversation about monetary policy and finances. I'm a little more nuanced in my perspective at this point. But, you know, that's one area where you learn about something, go, ah, I want to attack it. Build, don't destroy. Build. Like, so often the tendency is to not like something. They want to go attack it. Build something, build something to replace it”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“As successful as yours That's a super compliment. I'm humbled by that, actually. I would say A life they can be proud of. Honestly, one thing I've said to people is first find people you love and care about them. Like family matters to me a lot. And family means people you love and have committed to, right? So it's can be whatever you mean by that. But you need to have a foundation. So find people you love and want to commit to and do that because it anchors you in a way that nothing else can, right? And then you find other things and then kind of from out there you find other kinds of things you can commit to, whether it's ideas or people or groups of people. So, you know, especially in high school, I would say don't settle on what you think you know. Give yourself 10 years to think about the world. Like there's, I see a lot of high school students who seem to know everything already. I think I did too. I think it's maybe natural, but recognize that.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Step one of learning. That's step one of learning, right? And I've spent a lot of time learning. Other people spend a lot more time, but I've spent a lot of time learning. My whole goal was to get a PhD because I love school and I wanted to be a scientist. And then what I found is what's been written about elsewhere as well is the more I learned, the more I didn't know. The more I realized, man, I know about this, but this is such a tiny thing in the global scope of what I might want to know about. I need to be listening a whole lot better than I am just talking. Changed a little bit actually. My wife says that I used to be a better listener now that I'm so full of all these ideas I want to do. She kind of says, you got to give people time to talk.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Place together. Yes, you really do. And so it's a lot of it's creating these teams of people that have these needed skills and attributes that are hard. And so one of the big things I look for is somebody that fundamentally recognizes their need to learn. Like one of the values that we have and all of the things we do is learning. If somebody thinks they know it all, they're going to struggle.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“And that's kind of true, too. The more product focused are, I find a lot of people, I've talked to a lot of people who produce really great products. And they have a, they're looking over the open source communities, kind of wanting to participate and play, but they played here. They've done a great job here. And then they don't necessarily have some of the same. I don't think that's entirely necessary. I think part of it is cultural, how that's how they've emerged, because one of the things the open source community is often lack is great product management. Like some product management energy”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“However, I have found this interesting dichotomy between open source contributors and product creation. I don't know if it's fully true, but there does seem to be the more experienced, the more affect somebody has in open source community, the less ability to actually produce product that they have.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“It's a multidimensional space. And how do you order a multimensional space? There isn't one ordering. So, this whole idea, you immediately have projected into a thing when you're talking about hiring or best or worst or better or not better. So what is the thing you're actually needing? And you can even hire for that. There is such a thing. Generally, I really value people who have the affect that care about open source. So in some cases, they're thinned open source is simply kind of a filter of an affect.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“It's really hard. I mean, the resume can help, but again, the resume is like a presentation of the things they want you to see, not the reality of, and there's also, you know, you have to understand what you're hiring for. Are different stages and different kinds of skills. And so it isn't just a one of the things I talk a lot about internally at my company is that the whole idea of measuring ourselves against a single axis is flawed because we're not.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“I find it hard to hire. I still find it hard to hire. Like, in terms of, I don't think it's not hard to hire if I've worked with somebody for a couple of weeks, but an hour or two of interviews, I have no idea.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay, great. Pretty much. I mean, just the fact that I had to do PowerPoints, I had to do presentations I just couldn't mess with plugging in laptops. It wouldn't project”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Linux, yeah. I love Linux as a server side. And it was early days, I had my own Linux desktop. I've been on Mac laptops for 10 years now.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“So, what about where it's really helpful is actually when I'm trying to be, you know, here's data and I want to input it from here. That's the only time I really need another screen.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“You know, good question. I've never gotten into the many screens, to be honest. I mean, and maybe it's because in my head I kind of just, I just swap between windows. Like, partly because I guess I really can't process three screens at once anyway. Like, I just am looking at one and I just flip. You know, I flip an application open.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“So I actually have a much more appreciation of Lisp and things like Clojure, and there's Hyvee, which is a Python list that compiles the Python bytecode. I think it's challenging. Like typically these languages are, you know, I even saw a whole data science programming system in Lisp that somebody created, which is cool. But again, I think it's the lack of recognition of the fact that there exists what I call occasional programmers. Yeah. People are never going to be programmers for a living. They don't want to have all this cuteness in their head. They want just it's why basic, you know, Microsoft had the right idea with basic in terms of having that be the language of visual basic, the language of Excel and SQL Server, they should have converted that to Python 10 years ago. The world would be a better place if they had.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“The emotional feelings about all the parentheses, great question. So, I find myself appreciating Lisp today much more than I did early because when I came to programming, I knew programming, but I was a domain expert, right? And to me, the parentheses were in the way. Like, it's just all this, like, it just gets in the way of my thinking about what I'm doing. So, why would I have all these, right? That was my initial reaction to it. And now as I appreciate kind of the structure that kind of naturally maps to a logical thinking about a program, I can appreciate them, right? And why it's actually, you could create editors that make it not so problematic, right, honestly.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, Siphon Umpire all written an Emacs on a Linux box. And CVS and then SVN version control. Git came later. Like Git has, I love... Distributed branch stuff. I think Git is pretty complicated, but I love the concept. And also, of course, GitHub and then GitLab make Git definitely consumable. But that came later”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“I mean, I do use Vim for quick editing, like Command Line. If I say quick editing, I will still sometimes use it, but not much. Like it's simple, correct a single editor character.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I will Linux. I do still like to program some, it's not as much as I used to. I have two projects I'm super interested in trying to find funding for them, trying to figure out teams for them, but I could talk about those. But I'm an Emacs guy.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“So that is a good in and of itself. So, I'm going to go do that good. So find a good, find a thing that you know is good and just work on it. So that has to happen. And it is. And you kind of have to have enough realization of your mission to be okay with the naysayer or the fact that not everybody joins you up front. In fact, one thing I've talked to people a lot, I've seen a lot of projects come and some fail. Not everything I've done has actually worked perfectly. I've tried a bunch of stuff that, okay, that didn't really work or this isn't working and why. But you see the patterns. And one of the key things is you can't even know for six months. I sail 18 months right now. If you're starting a new project, you got to give it a good 18 month run before you even know if the feedback's there. You're not going to know in six months. You might have the perfect thing, but six months from now, it's still kind of still emerging. So give it time because you're dealing with humans and humans have an inertial.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Hugely, yeah, absolutely lonely in the sense of you have to have an inner drive. And that inner drive for me always comes from, I have to see that this is right in some angle. I have to believe it, that this is the right approach, the right thing to do. With SciPy, it was like, oh, yeah, the world needs libraries in Python. Clearly Python's popular enough with enough influential people to start and it needs more libraries.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Like often people will run away from something because, oh, I can't solve this. And you might be right, but give it an hour, give it a couple of hours and see. And, you know, just five minutes, I'm not going to give you that.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“To people who have a problem. Which is everybody, right? But listen and listen to many and try to have to do an experiment. Do fall down. Don't be afraid to fall down. Don't be afraid. The first thing you do is probably going to suck. And that's okay, right? It's honestly, I think, iteration is the key to innovation. And it's that it's almost that psychological hesitation we have to just iterate. Like, yeah, we know it's not great, but next someone will be better. I mean, just keep learning and keep proving and keep improving. So it's an attitude. And then it doesn't take intense concentration, right? Good things don't happen just, it's not quite like TikTok or like Facebook. You know, you can't scroll your way to good programming, right? There are sincere hours of deep, don't be afraid of the deep problem.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“It's a search engine over Stock Overflow, basically. So it's not, I mean, we've had this for a while. But really, you want to cut and paste, but not blindly. Absolutely, I've cut and paste to understand, but then you understand, oh, this is what this means. Oh, this is what it's doing. And as much as you can. So it's critical. That's where the curiosity comes in. If you're just blindly cutting and pasting, you're not going to understand. And so understand. And then, you know, be sensitive to hype cycles, right? Every few often there's always a, oh, test-driven development is the answer. Oh, object-oriented is the answer. Oh, there's always an answer. Agile is the answer. Be cautious of jumping onto a hype cycle. Likely there's signal, like there's a thing there that's actually valuable you can learn from, but it's almost certainly not the answer to everything you need.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“But don't just copy and paste. It's particularly relevant in the era of codex and the auto-generated code, which is essentially I see as an indexing of stack overflow. Right, exactly. It's like a search engine.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Usually, maybe somebody else has put the architecture together and they've gotten given a portion for you if you're young. If you're not part of a team, it's sort of breaking down the problem into smaller parts is essential for you to make progress. It's very easy to take on a big project and try to do it all at once and you get lost and then you do it badly. Thinking about very concretely what you're doing, defining the inputs and outputs, defining what you want to get done. Even just talking about that in English, like writing down before you write code, just what are you trying to accomplish? I mean, very specific about it really, really helps. I think using other people's work, don't be afraid that somehow you're like you should do it all. Nobody does.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“On something else, on something else. But I reflected on the past and also, you know, I have some really, the only way I can do this, I have some really great programmers that I work with who lead the teams that they lead. And my goal is to inspire them and hopefully help them, encourage them and help them encourage with their teams. I would say there's a number of things, a couple of things. One is curiosity. I think a programmer without curiosity is mundane. You'll lose interest. You won't do your best work. It's an affect. Have some curiosity about things. I think, too, don't try to do everything at once. Recognize that we're limited as humans. You're limited as a human. And each one of us are limited in different ways. We all have our different strengths and skills. So it's adapting the art of programming to your skills. One of the things that always works is to limit what you're trying to solve. So if you're part of a team,”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“That's a great, great question. And there are times in my life, I'd probably answer this even better than I hope maybe give an answer today because I thought about this numerous times. Like right now, I've been on so much time recently hiring salespeople.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, well, there's an aspect of that could be benefiting from a culture of modularity like add-ons and like that could actually dramatically help. You've seen that over history. I mean, Apple is an example of a company like that or the like, I can see what your point is, is that you have something that needs to be... To be adopted broadly. The concept needs to be adopted broadly. And if you want to go beyond this one device, you need Engage this community.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Mouth is so, so interesting. I think it's a lack of that realization there's this halo effect, right? It influences your general marketing Interesting”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“It's interesting because your initial reaction would be wait, there's different users here. Why would you do that to my wife bought a rumba? But she and she loves developers, she loves me, but she doesn't care about that culture. But essentially what you said is actually the authenticity, because everyone has a friend, everyone knows people, there's word of mouth. I mean, if you,”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“There's an aspect of telling. I mean, I was definitely seeing people doing great work where you're not talking about it. Like, I would say that's actually a problem I have right now with QuanSite Labs. Quan Site Lab's been doing amazing work, really excited about it. We have not been talking about it enough. We haven't been.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Data observation from that risk, I think, is shared in what they're doing already. But it absolutely, it's about, I think it's content. Like there's this whole world on content marketing that you could almost say, well, yeah, it can get over, you can get inundated with stuff that's not relevant to you. Whereas what you're saying would be highly relevant and highly useful and highly beneficial”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. Or they won't know how. And because you can also do it very clumsily. And I've seen because you can, you absolutely have to honor and recognize the people you're going to and the fact that if you just throw money at them, it could actually create more problems.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“The challenge is not dissimilar from the challenge you have in academia of the different colleges. Knowledge gets very specific and very channeled. And so people get a lot of learning in the thing they know about. And it's hard then to bridge that and to get them to think differently enough to Have a sense that you might have something to offer because it's different. It's like, well, how do I implement that? How do I do with that? Which budget do I take from? Do I slow down my spend on Google ads or my spend on Facebook ads or do I not hire a content creator instead? There's an operational aspect to that you have to be the CMO, right? Or the CEO. You have to get the right level.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Much more effective, right? So, and there are rational arguments to make. I've tried to have conversations with especially marketing departments, like very early on it was clear to me that, oh, you could just take a fraction of your marketing budget and just spend it on open source development, and you get better results from your marketing.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“The challenge was also, you have to have some business development. Like, it's a bit of a seeding problem, right? And you look at how I've talked to the folks at Linux Foundation, know how they're doing it. I know how, and starting number focus, because we had two babies in 2012. One was Anaconda, one was numb focused, right? And they were both important efforts. They had distinct journeys and super grateful that both existed and still grateful both exist. But there's different energies in getting donations as there is getting This is important to my business like I'm selling something that this is a salt I'm going to make money this way like if you can tie it if you can tie the message to an ROI for the company”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“There's definitely a business there to sell to developers or to sell to people using development. I think there's part of that. I think part of it is also they had definitely wanted to recognize that you need to value open source to get great developers, which is an important concept that was emerging over the past 10 years that PyData, we were able to convince JPMorgan to support PiData because of that fact, right? That was where the money for them putting a couple hundred thousand into supporting Pi Data for several conferences was they want developers. And they realized that developers want to participate in open source. So enterprise software folks don't always understand how their software gets used. Having spent a lot of time on the floors at JPMorgan, InShell, at ExxonMobil, you see, oh, these companies have large development teams. And then they're kind of dealing with what's being delivered to them. So I really feel kind of a privileged that I had a chance to learn some of these people and see what they're doing and even work alongside.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. I don't think so. I think there's still an enterprise software company and they make a bunch of money, they make a bunch of games. They're a big company and they sell products. I think part of it is they know there's opportunity to make money from GitHub.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Future of GitHub. Great point. I thought it was a brilliant move. I think they did because Microsoft has always had a developer-centric culture. They always have. Like one of the things Microsoft's always done well is understand that their power is developers, right? It's been, you know, Ballmer didn't necessarily make a good meme about how he approached that, but they're broadening that. I think that's why, because Gay recognized GitHub is where developers are at. Right. And so”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“So make that super seamless. So, a single company can go, oh, I've got my contract with OpenTeams, we've got a subscription they can get, they can make that procurement seamless, and then the fact they have access to the entire open source ecosystem. And we have a, you know, so we have a part of our work that's embracing open source ecosystems and making sure we're doing things useful for them. We're serving them. And then companies making sure they're getting solutions they care about, and then figuring out which which targets we have. We're not taking on all of open software yet, but we're going to.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Right, you just don't have to do it. That's not the only answer. Right. And so other companies can access this more flexible. It's really really to say Open Team is the future of enterprise software. We're still early. This idea just percolated over the past year as we've kind of grown quantite and realized the extensibility of it. We just finished in our seed round to help get more salespeople and then push the messaging correctly. And there's lots of tools we're building to make this easier. Like we want to automate the processes. We feel like a lot of the power is the efficiency of the sales process. There's a lot of wasted energy in small teams and the sales energy to get into large companies and make a deal. There's a lot of money spent on that.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“It's not you're just buying this thing off the shelf and it works. It's like, okay, you buy this system, and then you customize it a lot, usually with expensive consultants, to actually make it work for you. All of those should be replaced by open source foundations with the same customization.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. And I'm really grateful for all my experiences over the past 14 years understanding that side of it and still learning for sure, but not just understanding from companies, but also dealing with marketing professionals and sales professionals and people that make a career out of that, understanding what they're thinking about and also understanding, well, let's make this better. Like we can really make a place. Like open teams I see is the transmission layer between companies and open source communities Producing enterprise software solutions. Like eventually, we want to, like, today we're taking on SaaS and MATLAB and tools that we know we can replace for folks. Really, anytime you have a software tool at an organization where you have to do a lot of customization or make it work for you.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“There's a challenge. I hear what you're saying because I've had the same challenge And it's true. There's sometimes you think, okay, this is way overwrought.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Brilliant idea, by the way. With a connect, but we do it honoring the topology. We don't hire all the people. We are a network connecting the sales energy and the procurement energy. And we were on the business side, get the deals closed, and then have a network of partners like KwanSite and others who we hand the deals to, right? to actually do the work. And then we have to maintain, I feel like we have to maintain some level of quality control so that the client can rely on open teams to ensure the deliveries. It's not just, here's a lead, go figure that out. But no, we're going to make sure you get what you need.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Open source is fantastic for gluing those solutions together. Whereas they keep getting new platforms they're trying to buy, but most open source, most enterprises want is tools that they can customize that are as inexpensive as they can”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“Many, many quantities, like thousands of quantities, and it can be a marketplace to connect essentially be the enterprise software company of the future. If you look at what enterprise software wants from the customer side, and during this journey, I've had the chance to work and sell to lots of companies, Exxon and Shell and JV Morgan, Bank of America, like the Fortune 100, and talk to a lot of people in procurement and see what are they buying and why are they buying? So, you know, don't know everything, but I've learned a lot about, oh, what are they really looking for? And they're looking for solutions. They're constantly given products from enterprise software. Here's open source. These enterprise software. Now I buy it and then they have to stitch it together into a solution.”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“They'll be out there talking to people. And so we've had a chance to talk to a lot of early stage companies. And our fun folks on the early stage. So Quantite has the services, the lab, the fund, right? In that process, a lot of stuff started to happen. Like, oh, you know, we started to do recruiting and support and training. And I was starting to build a bigger sales team and marketing team and people besides just developers. And one of the challenges with that is you end up with different cultural aspects. You know, developers, you know, there's a In any company you go to, you can kind of go look, is this a business-led company, a developer-led company? Do they kind of coexist?”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source
“There are some, yeah, correct. Loose backed open source. Exactly. To me, it's a natural fit. There's absolutely a repeatable pattern there. And it's also beneficial because, oh, I have natural connections to the open source if I have an open source research lab”
2021-09-23 · Lex Fridman Podcast · #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming · IDENTIFIED FROM THE TRANSCRIPT · source