WEBVTT 00:00.000 --> 00:13.000 Hello, everyone, I'm Mia, I'm a software engineer based in Project Republic, and I've been a member of the Czech Python community for years. 00:13.000 --> 00:28.000 All these years, I've been wondering why do we actually contribute, especially people like software engineers who write code in their daily jobs, which is very different from contributing to communities and organizing events. 00:28.000 --> 00:34.500 So, I went around and asked a few of my colleagues and all of them said, well, it's good for networking. 00:34.500 --> 00:43.500 But actually, I don't think it's only networking because it's good for networking to participate in events, to go there, to talk to people and everything. 00:43.500 --> 00:52.000 But when you're organizing something, it takes so much of time and I'm pretty sure there are way more reasons why do we actually contribute. 00:52.000 --> 00:59.000 So, I'm here today to talk about communities and about the question, why do we actually contribute? 00:59.000 --> 01:03.000 But before we deep dive into it, let's start with the Czech Python community. 01:03.000 --> 01:13.000 Let me tell you something about our community, who we are, what do we do and similar. 01:13.000 --> 01:24.000 So, the Czech Python community started gradually. First, we had meat tops, workshops, sprains, hackathones, micro conferences, so these are very small events. 01:24.000 --> 01:32.000 Then, after it, we decided to create a multi-day multi-track conferences, which is something which is harder to organize. 01:32.000 --> 01:48.000 And at the end, we decided to house an international conference. So, if we have a look at the timeline, we can see that the community started in 2011, when we started with pivot, which is our Python meetups, then we had filetis, which are workshops. 01:48.000 --> 01:55.000 Then, after two years, we had a conference, then these events spread out to smaller cities. 01:55.000 --> 02:00.000 At the end, we had Euro Python 2023 that arrived to Prague. 02:00.000 --> 02:08.000 Some facts, the reason why we started with these new tabs, a long time ago, is because the community wanted to bring the Euro Python to Prague. 02:08.000 --> 02:13.000 But if you want to host an international big conference, you have to have local community. 02:13.000 --> 02:23.000 And so, it happened after 12 years of meetups and events and everything that a big international conference came to Prague. 02:23.000 --> 02:29.000 Now, let's talk about each of these types of events. Just for you to have some sort of idea of what everything we have there. 02:29.000 --> 02:36.000 So, meetup, our meetups are usually held once a month in a pub. Here, you can see how does it look like. 02:36.000 --> 02:43.000 So, we have projector, we have some talks, we have people sitting there drinking, talking, eating. 02:43.000 --> 02:49.000 Last year, we had one edition of filetis. So, I brought a cake with Python logo. 02:49.000 --> 02:56.000 And on the last set, you can see one of our traditions we have, which is every meetup at 11pm. We drink shots. 02:56.000 --> 03:03.000 This green one is called Galena. It's a check drink, which if you ask 10 people, they like it. 03:03.000 --> 03:07.000 9 people would tell it's terrible because it is like mouthwash. 03:08.000 --> 03:13.000 That one person who says it's amazing, it's me because it says mouthwash. 03:13.000 --> 03:19.000 But we have this tradition that even though everyone has these drinks, everyone drinks shots. 03:19.000 --> 03:25.000 And we also have juice. So, you can see here that because it is orange, this is juice because lots of people are abstinence. 03:25.000 --> 03:30.000 And I think this is super important if you have any traditions that you are inclusive. 03:30.000 --> 03:34.000 So, if someone is for example abstinence, they don't feel like they're an outsider. 03:34.000 --> 03:38.000 And everyone is taking shots and happy and they're sitting somewhere along in the corner. 03:38.000 --> 03:42.000 So, we have always some juice and we have alcohol. 03:42.000 --> 03:48.000 So, so far, in the Czech Republic, we've had 527 meetups, which is quite a lot. 03:48.000 --> 03:53.000 We have currently 18 organiser and these meetups are in six cities. 03:53.000 --> 03:59.000 Apart from, before we also have Pytata, which is a similar meetup, but it's related to data. 03:59.000 --> 04:02.000 The difference is that it's held a few times a year instead of every month. 04:02.000 --> 04:06.000 And it's held in companies so you can see it looks a bit more fancy. 04:06.000 --> 04:08.000 People are dressed a bit nicer. 04:08.000 --> 04:12.000 There's even cocktails and wine and similar things. 04:12.000 --> 04:16.000 And there's always some networking afterwards. 04:16.000 --> 04:18.000 We also have workshop. 04:18.000 --> 04:24.000 We have Pytata's Pytata's International Group that is helping women get into tech. 04:24.000 --> 04:28.000 So, this workshop is working a way that you have a room with someone explaining things. 04:28.000 --> 04:30.000 And you have tutorials. 04:30.000 --> 04:32.000 And if you get stuck, you can ask for a question. 04:32.000 --> 04:42.000 And we've had over 120 courses in 60 cities and between 1,000 and 1,500 participants. 04:42.000 --> 04:46.000 And one of the last things about Pytata is which you realize after many years is that 04:46.000 --> 04:53.000 Among our current organizers of events, we have lots of Pytata's who went through the course. 04:53.000 --> 04:55.000 And they liked it. They liked the community. 04:55.000 --> 04:57.000 So they decided to contribute back. 04:57.000 --> 05:01.000 So now they're organizing the courses themselves to teach other people. 05:01.000 --> 05:03.000 And also contributing to our events. 05:03.000 --> 05:07.000 Sometimes some people ask like, but why do you have workshops for beginners? 05:07.000 --> 05:11.000 Or why do you have workshops specifically for the last representative groups or anything? 05:11.000 --> 05:15.000 And I heard about a very nice metaphor. 05:15.000 --> 05:21.000 And which is that basically what this courses offer is there. 05:21.000 --> 05:27.000 They're laying if you want to imagine if you want to merge into a highway. 05:27.000 --> 05:29.000 And everyone is going super fast and everything. 05:29.000 --> 05:31.000 And you are maybe not a good driver. 05:31.000 --> 05:33.000 You're maybe afraid. 05:33.000 --> 05:35.000 You're maybe not experienced. 05:35.000 --> 05:39.000 So the idea is if you have an additional laying, which could help you to merge, 05:39.000 --> 05:43.000 then you would feel more safe there because you have space for yourself. 05:43.000 --> 05:47.000 And also others might also feel safe. 05:47.000 --> 05:53.000 Interesting about Pytata is actually that all materials are open source and therefore free. 05:53.000 --> 05:57.000 So if you go to web, you can find there lots of materials. 05:57.000 --> 05:59.000 And I was actually surprised because there are lots of contributors. 05:59.000 --> 06:05.000 But they are 70 contributors, which I think is a huge number. 06:05.000 --> 06:13.000 70 people contributing to documents to various guides for beginners, for Pytata's. 06:13.000 --> 06:16.000 So I think this is really amazing. 06:16.000 --> 06:20.000 Apart from that, one of the things you can also do, which is the relatively new thing, 06:20.000 --> 06:22.000 is you can organize a micro conference. 06:22.000 --> 06:26.000 So we had five Pytata last year that we won this year as well. 06:26.000 --> 06:30.000 And the way it works is that there are shorter talks. 06:30.000 --> 06:32.000 So they are 10 minutes long. 06:32.000 --> 06:34.000 So something like that can talk. 06:34.000 --> 06:37.000 So you have lots of talks and you have Pytata in between. 06:37.000 --> 06:44.000 So last year we had the first edition and I was very surprised that most people said that they would really like to attend it. 06:44.000 --> 06:48.000 So I started wondering, but actually, why did people like it so much? 06:48.000 --> 06:54.000 And I stumbled across a blog where a person, a senior developer, said, 06:54.000 --> 06:58.000 So unlike other events, I watched and listened to everything. 06:58.000 --> 07:02.000 If I wasn't interested, I knew it would only last for 10 minutes, so it was fine. 07:02.000 --> 07:08.000 And because of that, I ended up seeing a lot of interesting things that I probably wouldn't have noticed otherwise. 07:08.000 --> 07:13.000 At home, I went through the recordings and reminded myself of what I saw and what I learned. 07:13.000 --> 07:16.000 And I actually learned something. 07:16.000 --> 07:20.000 And I think this is very nice because very often if you're a very senior person, 07:20.000 --> 07:24.000 very experienced what, for you lots of talks maybe are not interesting, 07:24.000 --> 07:30.000 but then if they're long and maybe you would rather go outside talk to people or something else, 07:30.000 --> 07:33.000 but when they're only 10 minutes you're there and just because you're there, 07:33.000 --> 07:39.000 you'll learn about way more things or things that you're not really maybe interested into about these things. 07:39.000 --> 07:44.000 This things might be very interesting, so Python pieces one of my favorite events, 07:44.000 --> 07:46.000 as you can see in my t-shirt. 07:46.000 --> 07:50.000 We also have sprints, sprints are a very nice event. 07:50.000 --> 07:54.000 It's in a summer house, two to three days long, 07:54.000 --> 07:57.000 and our thing about sprints is that everyone contributes. 07:57.000 --> 08:04.000 So someone helps with documentation, someone washes dishes, someone cooks, 08:04.000 --> 08:10.000 but it's a very community, a lot of events where basically people just gather together 08:10.000 --> 08:13.000 and just work on community things. 08:13.000 --> 08:23.000 And in the evenings, we usually have a long fire and people around singing and playing instruments 08:23.000 --> 08:29.000 and just talking together, so this is one of the very nice things that you can also organize. 08:29.000 --> 08:35.000 We have a big Python conference, in 2023, when there was last edition, 08:35.000 --> 08:41.000 we had around 600 participants, which is quite a lot, and three official tracks and one on conference track. 08:41.000 --> 08:47.000 And apart from talks and workshops, you can expect we also had lots of events. 08:47.000 --> 08:55.000 So these were 3D printers, this was social event, where we also had board game nights. 08:56.000 --> 09:02.000 And the last thing is hosting an international conference in 2023 in 2024. 09:02.000 --> 09:08.000 We hosted Euro Python, which is one of the biggest European Python conferences. 09:08.000 --> 09:16.000 So it has around almost 1500 participants, lots of speakers, not as big as fast as them though. 09:16.000 --> 09:24.000 But it's one of the biggest Python conferences, and we also had lots of events and workshops for public. 09:24.000 --> 09:28.000 And here you can see how it looks like during social events. 09:28.000 --> 09:32.000 So what are some things that you should pay attention to, for example, 09:32.000 --> 09:38.000 want to contribute to the community, organize event, or something similar, and something which is not very obvious. 09:38.000 --> 09:42.000 So the first thing to think about is what kind of community do you have? 09:42.000 --> 09:47.000 And this is very important, because people often read some articles about communities, 09:47.000 --> 09:50.000 or talk to different community people, but different communities, 09:50.000 --> 09:54.000 how different they have different mechanisms and principles how they work. 09:54.000 --> 10:00.000 So you can have a consumer community, where people just like consume some materials to create, whatever. 10:00.000 --> 10:06.000 Then you can have champion, where actually you want to have some brand of ambassadors, so people who talk about your brand. 10:06.000 --> 10:13.000 And then you can have color collaborator, which is open source projects, for example, Django, where everyone contributes. 10:13.000 --> 10:17.000 And I think this is something which is not very obvious, at least it was never obvious to me, 10:17.000 --> 10:25.000 because I'm not a professional community manager, and this is important because different communities work in different ways. 10:25.000 --> 10:31.000 So make sure that when you're talking to different people, that you're really talking about the same kind of community. 10:31.000 --> 10:37.000 One very important thing is about sharing the load, and this is also something which was not very obvious to me, 10:37.000 --> 10:42.000 because I always thought like, well, when I want to leave, I would just leave, and someone will pick it up. 10:42.000 --> 10:45.000 Well, actually, that's not really how it works. 10:46.000 --> 10:51.000 So if you want to leave, make sure that you always have people around you. 10:51.000 --> 10:57.000 And this is an important thing right at the beginning, once you enter the community, and you take some responsibility, 10:57.000 --> 11:03.000 make sure that you have some people around you, because if you don't have what will happen is that when you want to leave, 11:03.000 --> 11:08.000 you will not be able to leave, because you will feel sorry for just abounding the project. 11:08.000 --> 11:16.000 But sometimes it's very hard to find people, and I have an experience with wanting to get rid of one project, 11:16.000 --> 11:20.000 I've been working on for a long time, but it's very hard because it's very hard to find someone. 11:20.000 --> 11:24.000 It's a process that can take even months to find someone else. 11:24.000 --> 11:30.000 So I think it's super important to think about if you decide to take some responsibility, 11:30.000 --> 11:36.000 that you have some people who would be able to take over in case you want to leave because it's not that easy. 11:36.000 --> 11:42.000 One of the important things to think about is managing expectations, and I found one great article. 11:42.000 --> 11:50.000 It's very long, so I warmly recommend you reading it, and it's about setting expectations for open source participation. 11:50.000 --> 11:54.000 And what did I like the most goes like this? 11:54.000 --> 12:00.000 As soon as you start demanding or expecting something from open source, you have stopped viewing it as it was intended. 12:00.000 --> 12:02.000 And that distortion can be poisonous. 12:02.000 --> 12:08.000 When I choose to donate my precious time to open source, I do it voluntarily as a nice thing that I enjoy doing. 12:08.000 --> 12:14.000 I didn't do it because so much demanded it of me, and the instant I feel that my time is not appropriate. 12:14.000 --> 12:16.000 I appreciate it as the gift that it is. 12:16.000 --> 12:18.000 I stop enjoying doing open source. 12:18.000 --> 12:23.000 And when someone stops enjoying their contributions to open source, they burn out and quit. 12:23.000 --> 12:29.000 And I think this is very important when we are talking about doing anything in our free time, 12:29.000 --> 12:35.000 that basically people cannot demand things from you because you're doing it in your free time. 12:35.000 --> 12:41.000 And it's also important when you're talking to different people, also to understand if they work it in free time, 12:41.000 --> 12:43.000 they do it just because they enjoy doing it. 12:43.000 --> 12:51.000 I think the author said in the article that open source basically is a series of kindness, 12:51.000 --> 12:55.000 where each thing is a gift and kindness. 12:55.000 --> 13:00.000 And this is important because very often in communities, everyone is a volunteer. 13:00.000 --> 13:06.000 So you are a volunteer, but so are other organizers and so are the speakers. 13:06.000 --> 13:13.000 And this is sometimes also not very obvious that other speakers are volunteers as well, 13:13.000 --> 13:19.000 because sometimes they might be some frictions between those, but essentially in open source communities, 13:19.000 --> 13:24.000 or at least the ones I'm part of, and everyone is a volunteer and it's important to keep that always in mind. 13:25.000 --> 13:29.000 What are the driving principles behind communities? 13:29.000 --> 13:32.000 Well, there is a really nice article about this one. 13:32.000 --> 13:38.000 I will share this last video later, but basically they said that for people to feel appreciated, valued, 13:38.000 --> 13:44.000 there is a scarf model, so it says that a person needs to have a statue, 13:44.000 --> 13:49.000 so to know who are they, are they a contributor, maintainer, what exactly is their role. 13:49.000 --> 13:55.000 It has some certainty. People don't like when something is uncertain, people don't like when they're supposed to do something, 13:55.000 --> 13:57.000 they don't know what to do. 13:57.000 --> 14:03.000 Autonomy, everyone likes to have some freedom, they take responsibility to make freedom to make their own decisions. 14:03.000 --> 14:10.000 Relateness, that means that if you have multiple projects, people will probably pick the project or the topic that they relate the most to. 14:10.000 --> 14:15.000 And fairness, which is obvious that everyone wants to be fairly treated. 14:16.000 --> 14:19.000 One of the very important things to think about is documentation. 14:19.000 --> 14:24.000 The check by the community has a great documentation, which was built long time ago, 14:24.000 --> 14:32.000 and you have their things like from how to run an event, the things like how to pay for something or similar. 14:32.000 --> 14:37.000 We also recently built a documentation for Python PITSA, and this is very nice, 14:37.000 --> 14:42.000 because as an organizer, you don't have to be involved anymore, so you write a documentation, 14:42.000 --> 14:48.000 and it scales really great, because then you can send it to 10 people, and you don't have to talk to each of these people. 14:48.000 --> 14:54.000 And what you can also do is just to have a template, so they can, for example, copy-based it. 14:54.000 --> 15:04.000 Part of community are people, basically, and it's important to think about a culture and how to do it. 15:04.000 --> 15:09.000 So there was an experiment where they took groups of people who work really well, 15:09.000 --> 15:12.000 and they took one person who had a role to play. 15:12.000 --> 15:17.000 And there was the jerk, this was like this very arrogant person that one likes to work with, 15:17.000 --> 15:21.000 the slacker who was a person just talking, but not doing anything, 15:21.000 --> 15:24.000 and the donor who was a person always complaining. 15:24.000 --> 15:28.000 So there wanted to find out if you have one person like this, 15:28.000 --> 15:31.000 and you have let's say a group of 10 people who work really well, 15:32.000 --> 15:35.000 how much will their performance go down. 15:35.000 --> 15:40.000 So if it's out of 10 people, one person like this, is it like 10% or how does it relate? 15:40.000 --> 15:46.000 And they found out that actually just one person can reduce the group's performance to 30 to 40%, 15:46.000 --> 15:48.000 which is actually a lot. 15:48.000 --> 15:53.000 This is related to the missing star metaphor, so this means basically that, 15:53.000 --> 15:56.000 imagine if you're going down the stairs, and there's one stair missing. 15:56.000 --> 16:03.000 And we've all been in groups where there's a special person who needs to be managed. 16:03.000 --> 16:05.000 Everyone knows their different. 16:05.000 --> 16:10.000 People don't address it, don't tell that person, hey, you behave in a wrong way, this is not okay. 16:10.000 --> 16:13.000 But everyone will tell, hey, he's special. 16:13.000 --> 16:17.000 Like be careful, don't tell him this, don't tell him that, just ignore him. 16:17.000 --> 16:23.000 And I think this is a big problem because then what happens is that actually, 16:23.000 --> 16:29.000 it can ruin the whole group and what often happens is that people just decide to leave because of one person. 16:29.000 --> 16:36.000 So even though it's one person, be very careful because one person can ruin the whole group if you ignore it. 16:36.000 --> 16:39.000 They did a marshmallow experiment, which is a really interesting thing. 16:39.000 --> 16:45.000 They took a group of CEOs in the group of kids, and they gave them 20 pieces of Uncle Spaghetti, 16:45.000 --> 16:50.000 one yard of string, one yard of transparent tape, and one standard size marshmallow. 16:50.000 --> 16:54.000 And they told them that they have to build a sculpture as though it's possible. 16:54.000 --> 17:02.000 And it happens that actually kids built as 66 centimeters in average tall sculpture while CEOs build 25. 17:02.000 --> 17:06.000 And then they said, okay, CEOs maybe they're not the smartest people. 17:06.000 --> 17:09.000 So let's maybe start taking students. 17:09.000 --> 17:13.000 So they took low students, and they had the same result. 17:13.000 --> 17:18.000 And they said, okay, let's maybe take different kind of students or executives or whatever. 17:18.000 --> 17:22.000 And it happens that actually kids are always better. 17:22.000 --> 17:26.000 And so they were observing them and trying to figure out why it happens. 17:26.000 --> 17:30.000 And they realized that is because kids just play an experiment. 17:30.000 --> 17:33.000 And they don't think about social interactions. 17:33.000 --> 17:39.000 They don't think, oh, this is bad, but actually, if I say this, this person will get offended. 17:39.000 --> 17:41.000 Is it my place who is the leader here? 17:41.000 --> 17:43.000 What am I supposed to do? 17:43.000 --> 17:45.000 Kids were just playing and doing whatever they wanted. 17:45.000 --> 17:53.000 And with adults, they realized that actually with adults, lots of mental energy is used on figuring out what are you supposed to do in a group. 17:53.000 --> 17:57.000 So are you able to criticize someone? 17:57.000 --> 17:58.000 How are you supposed to say? 17:58.000 --> 18:00.000 So they don't get offended. 18:00.000 --> 18:02.000 What if you disagree with something? 18:02.000 --> 18:04.000 What if you have an idea? 18:04.000 --> 18:07.000 Will it look like a fool if you say something? 18:07.000 --> 18:09.000 Is it a good idea to say something? 18:09.000 --> 18:10.000 Should you be silent? 18:10.000 --> 18:11.000 What should you do? 18:11.000 --> 18:14.000 But this is not how kids work. 18:14.000 --> 18:19.000 And this is why they're on average more experienced here. 18:19.000 --> 18:24.000 So we talked about communities, what kind of communities are there? 18:24.000 --> 18:27.000 Can we, what are some important things been working with them? 18:27.000 --> 18:32.000 But the question is, why actually do we really get involved? 18:32.000 --> 18:38.000 So I came across a very nice model which says that human connection has three layers. 18:38.000 --> 18:45.000 So we have correlationships which are relationship with our partner or partners and our closest friends. 18:45.000 --> 18:51.000 Then we have a close relationship which is with our friends, colleagues and extended family members. 18:51.000 --> 18:55.000 But then we also have casual relationship which is our broader community, 18:55.000 --> 18:58.000 Aquarintance and members of organizations we contribute to. 18:58.000 --> 19:00.000 How much of these you need? 19:00.000 --> 19:02.000 It's very, it's very individual. 19:02.000 --> 19:05.000 Some people have lots of people there surrounded with. 19:05.000 --> 19:07.000 Some people just have a few friends. 19:07.000 --> 19:12.000 But it's important that you have some relationship because we are humans and that's how we are wired. 19:12.000 --> 19:15.000 So what happens if they're not there? 19:15.000 --> 19:20.000 I came across a really interesting book from a person called Vivek Mercy. 19:20.000 --> 19:23.000 They are a surgeon, the US and they were wandering. 19:23.000 --> 19:27.000 What is the leading cause of ill health in the US? 19:27.000 --> 19:33.000 This was studied for the US but I think it would be the same for all Western countries. 19:33.000 --> 19:43.000 And what one would think is maybe alcoholism or obesity or opioid crisis or all these things. 19:43.000 --> 19:46.000 You know, you read newspapers and everything. 19:46.000 --> 19:51.000 However, they realized in their studies that is actually loneliness. 19:51.000 --> 19:55.000 Which is something which is also not very obvious. 19:55.000 --> 20:01.000 So intimate or emotional loneliness is the longing for a close confounded or intimate partner. 20:01.000 --> 20:05.000 Someone with whom you share deep mutual bond of affection and trust. 20:05.000 --> 20:11.000 Relational or social loneliness is the yearning for quality of friendships and social companionship and support. 20:11.000 --> 20:17.000 Collective loneliness is the hunger for a network or community people who share your sense of purpose and interest. 20:17.000 --> 20:24.000 These three dimensions together reflect the full range of high quality social connections that human needs in order to thrive. 20:24.000 --> 20:30.000 The lack of relationships in any of three dimensions make us lonely, which helps to explain why we may have a support. 20:30.000 --> 20:32.000 We may have a support in marriage yet. 20:32.000 --> 20:35.000 We lonely for friends and community. 20:35.000 --> 20:39.000 And this is related to muscles hierarchy of needs which all of you for sure know. 20:39.000 --> 20:44.000 Who are basically we have a need for love and belonging and self esteem. 20:44.000 --> 20:51.000 So according to muscle, human possess an effective need for a sense of belonging and acceptance and most social groups. 20:51.000 --> 20:54.000 Regardless of whether these groups are large or small. 20:54.000 --> 20:59.000 Being a part of a group is crucial regardless if it's work, sports, friends or family. 20:59.000 --> 21:06.000 The sense of belonging is being comfortable with and connection to others that results from receiving acceptance, respect and love. 21:06.000 --> 21:15.000 For example, some large social groups may include clubs, co-workers, religious groups, professional organizations, sports teams, gangs or online communities. 21:15.000 --> 21:20.000 Which is very interesting actually they put together being send religious groups. 21:20.000 --> 21:29.000 But I think I really can relate to this one and I think that lots of people do contribute to communities because it helps them to feel to belong somewhere. 21:29.000 --> 21:39.000 And there's one very interesting observation I've seen that actually in many countries, lots of people contribute to communities and open-source communities are actually foreigners. 21:39.000 --> 21:49.000 It kind of makes sense because if you move across the planet and you leave your family and everything behind, you do want to feel as a part of something as a part of some group contributing to something. 21:49.000 --> 21:56.000 So apart from these, one of the reasons why people contribute is to learn new skills. 21:56.000 --> 22:07.000 So some of the skills that I've developed over these years are creative skills, writing skills, communication skills, organizational skills, leadership skills, building mental resilience. 22:07.000 --> 22:16.000 And the thing that I left at the very end because I think this is the lowest priority for most people is networking. 22:16.000 --> 22:28.000 I think networking is very important, lots of people do it for networking as well, but I think this is definitely not the leading cause why do people contribute so much to communities because as said, 22:28.000 --> 22:38.000 if you want to network, it's way more useful if you just go to an event, just talk to people rather than if you spend hundreds of hours into organizing it. 22:39.000 --> 22:45.000 So these were my reasons, but I believe that everyone has different reasons for that. 22:45.000 --> 22:55.000 And it happens that I filmed a video during the last conference, and I would like to show you what you might call it, say, 22:55.000 --> 23:03.000 why do they contribute to communities if I will be able to open it. 23:04.000 --> 23:10.000 There are subs, you might not hear, but there are subs here. 23:18.000 --> 23:22.000 The sound doesn't work. 23:22.000 --> 23:31.000 Okay, okay, so let me read it, sorry, I did not let it work, so hello, my name is Zhang Gong. 23:34.000 --> 23:40.000 I'm from Rattis, I'm a Syvakem, one of the organizers of Pikes of Syvakem. 23:40.000 --> 23:48.000 The past I worked along with open data, open education, open source software, open access and scientific publications. 23:48.000 --> 23:51.000 So basically all things open. 23:51.000 --> 23:56.000 The Python community is all about openness and sharing, and that's why I find it so attractive. 23:56.000 --> 24:01.000 My name is Catalina Surtma, I'm a pilot, organizer, but now here in the Czech Republic. 24:01.000 --> 24:05.000 I do it because I love the smiles of the people. 24:05.000 --> 24:08.000 I'm young people, I'm one of the organizers of data, 24:08.000 --> 24:12.000 Pragme tabs, and why do I do it? 24:12.000 --> 24:19.000 Because I love combining a very interesting field with the people, and especially in their free time. 24:19.000 --> 24:23.000 Because in their free time, they are the best. 24:23.000 --> 24:32.000 Hello, I'm Sana, I'm a machine learning engineer in Prague, and I like contributing because there's literally no limits. 24:32.000 --> 24:36.000 You're welcomed by everyone, and you could be the next speaker at the next spike. 24:36.000 --> 24:42.000 Hello, I'm Hanzai Yavarek, and for many years I volunteer for Czech Python community. 24:42.000 --> 24:51.000 And I do it because first I want you to learn more about Python, then I love community. 24:52.000 --> 25:02.000 The people, and I got a lot of stuff back from the people, and a lot of opportunities. 25:02.000 --> 25:10.000 And now I do it because I want people to be able to learn programming easily and have it accessible. 25:10.000 --> 25:11.000 Hello, everyone. 25:11.000 --> 25:12.000 We need to bring a clue. 25:12.000 --> 25:13.000 We need to. 25:13.000 --> 25:14.000 You're a type. 25:14.000 --> 25:15.000 Okay. 25:15.000 --> 25:17.000 But there are many more wonderful stories that you. 25:17.000 --> 25:18.000 Yes. 25:18.000 --> 25:19.000 Yes. 25:26.000 --> 25:30.000 Yes. So if you would like to see it, you can find it on YouTube. 25:30.000 --> 25:32.000 Unfortunately, we have to finish. 25:32.000 --> 25:34.000 So thank you for your attention.