Getting a Coding Job For Dummies. Nikhil Abraham
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Название: Getting a Coding Job For Dummies
Автор: Nikhil Abraham
Издательство: John Wiley & Sons Limited
Жанр: Зарубежная образовательная литература
Серия: For Dummies
isbn: 9781119121022
isbn:
Figure 1-2: ENIAC was the size of a large room.
Gradually, with advances in hardware, computers became smaller and more powerful. Whereas the ENIAC’s tens of thousands of resistors and capacitors took up almost 2,000 square feet, later microprocessors could fit all these electronics onto a chip the size of a postage stamp. Eventually, these microprocessors would be built using silicon, which is both cheap and plentiful.
Increased computing power from powerful microprocessors allowed programmers to write more complicated and resource-intensive programs. For example, computer games became faster, used more complex graphics, and displayed on-screen smoothly and realistically. Writing code, or software programming, depends on and is constrained by the underlying hardware on which the code runs. As computing power increases, code is written to provide more features at a faster speed to users.
Programming languages were also invented to take advantage of this new computing power. You may remember languages such as Basic, Fortran, Pascal, C++, and Java. Like spoken languages, programming languages were created to fill a need. If other programmers coded using the language, the programming language would survive and thrive; otherwise, it would die.
In 2011, Marc Andreessen, creator of Netscape Navigator and now a venture capitalist, noted that “software is eating the world.” He predicted that software companies would rapidly disrupt existing companies. Traditionally, software was used on desktops and laptops. The software had to be installed, and the installation process at a minimum varied by computer type and might not even work or might be incompatible with your computer hardware and software. After the software was installed, you had to supply data to the program.
Four trends have dramatically increased the use of code in everyday life:
✔ Web-based software: This software operates in the browser without requiring installation. For example, if you want to check email, you previously had to install an email client by downloading the software or from a CD-ROM. Issues arose when the software was not available for your operating system or conflicted with your operating system version. Hotmail, a web-based email client, rose to popularity in part because it allowed users visiting www.hotmail.com to instantly check email without worrying about installation or software compatibility. Web applications increased consumer appetite to try more applications, and developers in turn were incentivized to write more applications.
✔ Internet broadband connectivity: Broadband connectivity has increased, providing a fast Internet connection to more people in the last few years than in the previous decade. Today, more than 2 billion people can access web-based software, up from approximately 50 million only a decade ago.
✔ Coding repositories: Anyone can publish code for others to view and use. Popular coding repositories, such as Github, are making coding a more collaborative, open, and public process than ever before. Programmers publish code to show others what they can build, to solicit feedback to increase functionality or find vulnerabilities, and to quickly spread software to other programmers.
✔ Mobile phones: Today’s smartphones bring programs with you wherever you go and help supply data to programs. Many software programs became more useful when accessed on the go than when limited to a desktop computer. For instance, the use of maps apps greatly increased thanks to mobile phones because users need directions the most when lost not just when at home on the computer planning a trip. In addition, mobile phones are equipped with sensors that measure and supply data such as orientation, acceleration, and current location through GPS. Now instead of having to input all the data to programs yourself, mobile devices can help. For instance, a fitness application such as RunKeeper automatically tracks your distance, speed, and time.
The combination of these trends has resulted in software companies that have upended incumbents in almost every industry, especially ones typically immune to technology. Some notable examples include the following:
✔ Airbnb: A peer-to-peer lodging company that owns no rooms, yet books more nights than the Hilton and Intercontinental, the largest hotel chain in the world. See Figure 1-3.
✔ Uber: A car transportation company that owns no vehicles but books more trips and has more drivers in 200 cities than any other car or taxi service.
✔ Groupon: A daily deals company that generated almost $1 billion after just two years in business, growing faster than any other company in history, let alone any other traditional direct marketing company.
Figure 1-3: Airbnb booked 5 million nights after three and a half years, and its next 5 million nights six months later.
The one constant in technology and coding is change. Improvements in existing computer architecture will lead to the creation of newer, faster, and smaller hardware devices, and developers will then write code to operate and control those hardware devices.
The following technology developments are increasing in popularity and should remain relevant at least for the next five years:
✔ Internet of Things (IOT): Computing power is transforming dumb hardware devices into smart, connected, self-regulated devices. For example, the Nest thermostat uses a motion detector to record when people are present, and then heats and cools homes when people are expected to be at home instead of all day. Similarly, Lockitron makes a device that allows you to lock and unlock your front door with your smartphone. Other connected devices, such as the FitBit fitness tracker and the Apple Watch, need coders to add functionality and connect people in new ways.
✔ Machine learning: For years, databases just stored data. Now, code is finally being written to analyze the data and make intelligent predictions. For example, mapping applications use real-time and historical data to predict traffic and the time your route will take to complete. 23andme, a genetics company, compares your human genome against its database to predict which diseases you are more likely to have. General Electric has outfitted industrial machines such as hospital equipment and jet engines with sensors, and uses historical data to repair machines before they break, decreasing downtime and increasing revenue. Coders will continue to write analytics programs to crunch large datasets and generate predictions with increasing accuracy.
✔ Interconnected applications: An application programming interface (API) allows one program to talk to and request data from another external program, which provides a response. Although APIs are powerful, their functionality can be limited and they rarely talk to one another. For example, Dropbox, the storage provider, has an API СКАЧАТЬ