1 00:00:00,960 --> 00:00:01,430 Hi. 2 00:00:01,440 --> 00:00:03,820 Welcome to drone programming with Python. 3 00:00:04,500 --> 00:00:09,270 Let's start by looking into some of the amazing things a drone can do. 4 00:00:09,270 --> 00:00:13,510 This is a clip from the fiftieth anniversary event by Intel. 5 00:00:13,530 --> 00:00:16,080 There was an amazing drone light show. 6 00:00:16,170 --> 00:00:19,620 It looks like fireworks but they're actually drones. 7 00:00:19,620 --> 00:00:26,070 These are the actual drones which are not the ordinary drone with cameras but with LCD lights you can 8 00:00:26,070 --> 00:00:28,680 see in the background with all the lights on. 9 00:00:28,890 --> 00:00:34,490 These drones are programmed to fly in a certain place and light up in certain colors. 10 00:00:34,500 --> 00:00:40,380 The event attracted lots of viewers as it became the world's largest drone spectacular with a new record 11 00:00:40,380 --> 00:00:43,660 of flying over 2000 drones. 12 00:00:43,770 --> 00:00:46,590 The drones are programmed to for many shapes. 13 00:00:46,590 --> 00:00:54,570 You can see it turn into the intel logo a person a camera a glow and even fireworks. 14 00:00:54,570 --> 00:01:01,470 This clip shows you how drones can be the next entertainment solution if you wish to watch the entire 15 00:01:01,470 --> 00:01:08,100 video search for insula drone light show next clip is from Amazon. 16 00:01:08,100 --> 00:01:13,230 You might have seen this in the news where Amazon is testing their drone delivery system. 17 00:01:13,260 --> 00:01:20,320 You can see how the top companies in Silicon Valley believes in this technology. 18 00:01:20,340 --> 00:01:27,020 This is another example where the FBI uses a drone to receive information highly dangerous places. 19 00:01:27,030 --> 00:01:32,790 This video is shot by a drone which is programmed to chase the suspect in this case. 20 00:01:32,790 --> 00:01:38,370 The drone is set to fly to an injured person who is in a spot where ambulances are hard to approach 21 00:01:39,810 --> 00:01:46,530 this drone has an IED device and a camera so that the emergency medical procedures can be done remotely 22 00:01:46,590 --> 00:01:47,610 with the accurate help 23 00:01:53,940 --> 00:01:59,160 drones are capable of reaching those spots where people can't or don't want to approach 24 00:02:02,280 --> 00:02:08,160 this advantage is one of the reasons why drones are also used in construction sites to figure out damaged 25 00:02:08,160 --> 00:02:13,310 buildings or bridges. 26 00:02:13,320 --> 00:02:20,310 This is a drone where a human can fly and you can set the destination and the drone will take you there. 27 00:02:20,430 --> 00:02:26,520 There are still changes to be made in the law for all these drones to fly but you can see that it wouldn't 28 00:02:26,520 --> 00:02:32,020 be so long before we can have these services in our daily lives. 29 00:02:32,020 --> 00:02:36,190 Now let's talk about why Python go in drones. 30 00:02:36,250 --> 00:02:38,440 I want to show you an article from Forbes. 31 00:02:38,560 --> 00:02:41,650 It's a round down of the top highest paying industries. 32 00:02:41,830 --> 00:02:48,240 Thanks to Bill Gates and Steve Jobs the software and I.T. services industry is ranked the highest. 33 00:02:48,310 --> 00:02:51,070 I haven't heard of any nude industry that is in their eyes. 34 00:02:51,160 --> 00:02:56,610 So in my opinion I say that this position won't be changed anytime soon. 35 00:02:56,620 --> 00:03:03,670 Let's move on to this article showing the 25 highest paying companies in the U.S. as we scroll down 36 00:03:03,760 --> 00:03:11,470 we see some familiar names such as Twitter Microsoft Salesforce and video is rising again as they are 37 00:03:11,470 --> 00:03:14,390 providing the GP you for bitcoin. 38 00:03:14,440 --> 00:03:18,690 Seventh is Facebook and sixth Google. 39 00:03:18,940 --> 00:03:21,970 Here is Splunk which is the company where I work. 40 00:03:22,090 --> 00:03:27,460 Ranking in the fourth as they are well known to be the top company in big data. 41 00:03:27,460 --> 00:03:36,330 Third is VM where in the top two or consulting firms as we went through among the 25 companies 80 to 42 00:03:36,330 --> 00:03:44,060 90 percent of the companies are in the I.T. industry I'll walk you through how the I.T. industry expanded. 43 00:03:44,440 --> 00:03:51,340 A major change for the industry started when the switch from 18 cell to fiber optic network companies 44 00:03:51,340 --> 00:03:58,150 like Juniper and Cisco were the trending companies the next I.D. trends started with virtual machine 45 00:03:58,390 --> 00:04:07,290 with one of the top brand companies VM where then came big data provided by companies like Splunk next 46 00:04:07,290 --> 00:04:11,940 would obviously be social network services such as Facebook. 47 00:04:11,960 --> 00:04:20,300 Lastly the cloud services provided by Google and Amazon now that the industry has expanded tremendously. 48 00:04:20,460 --> 00:04:22,900 Everyone is always in the search for the next trend. 49 00:04:23,800 --> 00:04:30,960 And the next trend is said to be fintech A.I. robot and rockets. 50 00:04:31,020 --> 00:04:35,820 The easiest way to catch the trend is to follow the Billionaires for example. 51 00:04:35,820 --> 00:04:42,920 The reason rocket is in the trend is because CEO of Tesla Elon Musk is looking into it and spending 52 00:04:43,020 --> 00:04:44,650 lots of money on it. 53 00:04:44,730 --> 00:04:50,960 When people realize this move others will follow and even more money will be put into the category. 54 00:04:51,030 --> 00:04:57,120 This is the same for robots since Google is currently putting effort in humanoid and the same for fintech 55 00:04:57,150 --> 00:05:00,500 where Roger verse started Bitcoin icon. 56 00:05:00,660 --> 00:05:04,580 This move a trend is quite similar to how the fashion trend moves. 57 00:05:04,620 --> 00:05:10,410 He usually starts with the top brands who have money starting certain fashion trends which will be followed 58 00:05:10,410 --> 00:05:12,050 by mass market retailers. 59 00:05:13,050 --> 00:05:18,720 So as I said it would be way easier to understand the next trend by following what the billionaires 60 00:05:18,720 --> 00:05:24,150 are doing a bit sad though that is how capitalism works. 61 00:05:25,240 --> 00:05:26,960 You might know box Inc. 62 00:05:26,980 --> 00:05:34,510 Who IPO it was just a simple file server but they wisely use the trending word cloud service to collect 63 00:05:34,510 --> 00:05:37,480 the money they needed after the IPO. 64 00:05:37,480 --> 00:05:44,230 You can imagine how happy the staff were to retire early or just start their own businesses. 65 00:05:44,240 --> 00:05:50,360 It was amazing when the rumor spread that Facebook was going to IPO some of the leading engineers and 66 00:05:50,360 --> 00:05:54,460 Google were willing to leave their jobs to go to Facebook again. 67 00:05:54,500 --> 00:05:57,480 Capitalism but it is what it is. 68 00:05:57,480 --> 00:06:00,560 So following the trend may save your future too. 69 00:06:01,110 --> 00:06:09,040 Based on these facts I chose to follow a AI in robots and that is why I created this course in this 70 00:06:09,040 --> 00:06:09,420 course. 71 00:06:09,430 --> 00:06:15,730 We won't be building that drone from scratch but we will be learning how to operate the drone remotely. 72 00:06:15,730 --> 00:06:22,880 Also we will be learning how to program your drone to follow you by face recognition or to autopilot. 73 00:06:22,940 --> 00:06:26,010 Let's go back to the twenty five top paying companies. 74 00:06:26,180 --> 00:06:28,720 I place the names onto this sheet. 75 00:06:28,960 --> 00:06:34,030 You can see that the majority of top companies can be placed in each category. 76 00:06:34,060 --> 00:06:41,740 It is obvious but I need to say that the top companies in the industry pay higher salary the more the 77 00:06:41,740 --> 00:06:48,310 company makes the more the salary rises and this will easily attract people with higher skills. 78 00:06:48,310 --> 00:06:56,190 Currently the companies are placed around VM Big Data S.A. and cloud the ones the trend shifts. 79 00:06:56,260 --> 00:06:59,940 It's likely that the top companies will be placed on the next trending industry. 80 00:07:01,230 --> 00:07:07,530 I can't say when the trend will shift but I know that I have to be prepared when it does come in my 81 00:07:07,530 --> 00:07:11,260 case I started learning Python back in 2006. 82 00:07:11,370 --> 00:07:17,840 At that time big data was meant to be the next trend which made me choose working at Splunk it's always 83 00:07:17,840 --> 00:07:24,520 better to look into the future leading industry and start learning so you can make a head start we just 84 00:07:24,520 --> 00:07:29,700 went through why we are going to learn about drone. 85 00:07:29,880 --> 00:07:33,840 Next I want to walk you through the reason why python. 86 00:07:33,840 --> 00:07:36,910 This is a graph showing the growth of each languages. 87 00:07:37,230 --> 00:07:40,710 You can see that Python is growing very fast. 88 00:07:40,740 --> 00:07:46,350 Python is one of the main programming languages used for fintech A.I. and big data. 89 00:07:47,300 --> 00:07:54,730 As the need for Python programmers rise you'll see the salary grows also just so you know these programming 90 00:07:54,730 --> 00:07:57,320 languages are in decline. 91 00:07:57,320 --> 00:08:03,560 Personally I think Ruby is one of the best languages though it's not commonly used. 92 00:08:03,710 --> 00:08:10,510 Even the best languages cannot survive unless it's used in the trending industries in our previous graph. 93 00:08:10,510 --> 00:08:13,140 We saw how Python has been growing. 94 00:08:13,330 --> 00:08:16,990 Here you will see a graph of actual programming usage. 95 00:08:16,990 --> 00:08:22,180 The top language will be JavaScript as it is mostly used for user interface. 96 00:08:22,300 --> 00:08:27,100 Even if the main app is made by Python the interface part will be built with Java 97 00:08:30,370 --> 00:08:34,600 if you're willing to become the backend engineer who programs the core system. 98 00:08:34,600 --> 00:08:37,330 You should know python. 99 00:08:37,330 --> 00:08:43,690 I also wanted to point out go its rank 9th but when you focus on the graph on the right you will see 100 00:08:43,690 --> 00:08:44,930 a growth. 101 00:08:44,980 --> 00:08:51,400 Let's check the next slide where you will see go being the top upcoming language goal may not be on 102 00:08:51,400 --> 00:08:56,800 your list yet but I will tell you that in Silicon Valley companies are starting to develop apps based 103 00:08:56,800 --> 00:08:59,640 on go to give you some names. 104 00:08:59,640 --> 00:09:02,550 These are the companies who are using go and their projects. 105 00:09:03,410 --> 00:09:08,230 As go is a product from Google it is easy to understand the growth in Silicon Valley. 106 00:09:10,540 --> 00:09:17,260 As I mentioned earlier I started Python 12 years ago which was early enough to land me in a senior engineer 107 00:09:17,260 --> 00:09:19,120 position at Splunk. 108 00:09:19,120 --> 00:09:23,400 I can't say that I was employed because I was a python genius. 109 00:09:23,470 --> 00:09:28,260 I believe it was because of my experience based on my experience being ahead. 110 00:09:28,270 --> 00:09:34,960 We'll help you grow as an engineer and as we saw earlier we know that Goh has a high possibility of 111 00:09:34,960 --> 00:09:39,450 becoming the next major programming language in the next couple of years. 112 00:09:39,760 --> 00:09:45,110 So that's my reason why we are learning how to program drones using Python and go. 113 00:09:45,460 --> 00:09:51,520 If you have the basic level of python you will be able to understand this course without any problems. 114 00:09:51,520 --> 00:09:55,080 Be aware that this lesson will not include programming with go. 115 00:09:56,320 --> 00:10:02,260 But I am planning on releasing lesson where we learned to convert the codes to go in the near future. 116 00:10:02,260 --> 00:10:04,750 So I will keep you updated. 117 00:10:04,750 --> 00:10:06,610 I hope you enjoyed this course. 118 00:10:06,610 --> 00:10:07,780 Now let's get started.