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How to choose a programming language and the right technology
The document provides guidance on selecting programming languages and technologies in a rapidly evolving job market, highlighting the demand for languages like Python, JavaScript, and Go. It discusses emerging fields such as machine learning, artificial intelligence, and data science, along with their associated salaries and job growth rates. Additionally, it emphasizes the importance of understanding business needs and planning for future technological requirements.
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How to choose a programming language and the right technology
- 1. HOW TO CHOOSE PROGRAMMING LANGUAGEAND RIGHT TECHNOLOGY
- 2. Hello! I am Dhanushka. SoftwareEngineer | Full-Stack | Lead at Facebook Developer Circle: Colombo 2
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- 4. PROGRAMMING LANGUAGE On Glassdoor’slist of top jobs for 2020, careers requiring coding skills are well- represented. 4
- 5. PROGRAMMING LANGUAGE Front-end engineeris their #1 best job, Java developer is #2, software engineer is #7, etc. Full-stack engineering has seen 35% hiring growth every year since 2015. 5
- 6. HTML and CSSare the easiest languages to start with if you’re new to coding. 6
- 7. Python is thefastest-growing language and second most popular on GitHub. 7
- 8. JavaScript is themost commonly used programming language and first most popular on GitHub. 8
- 9. Go is highlyin demand, but low in supply; only 7% of developers work with it often. 9
- 10. Scala, Ruby, Typescript,Rust and Kotlin are also some top in-demand skills with comparatively low developer familiarity. 10
- 11. Start working with... ◦Master one object-oriented Language and one functional programming Language. ◦ All the programming languages are same except the additional features each language holds. 11
- 12. Start working with... ◦How to execute ◦ Declaration and Initialization of Variables ◦ How to write Hello world type program ◦ Conditional Programming (If-else) ◦ How to work with loops ◦ How to handle errors 12
- 13. Choosing a programminglanguage ◦ The environment (and the way) of executing ◦ Vendors and the Platform ◦ Ecosystem and Community ◦ The demand and industry trends ◦ Connections with other languages and ecosystems ◦ The vision of the language 13
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- 16. Machine Learning 16 According toMcKinsey, 49% of companies are currently exploring or planning to use machine learning. Over 12,000 open positions listed on LinkedIn alone.
- 17. Machine Learning 17 Indeed’s #1best job in America for 2019. $138K+ (Machine Learning Engineer)
- 18. Artificial Intelligence 18 Hiring growthfor AI specialists has grown 74% annually in the past 4 years. AI specialists earned LinkedIn’s #1 emerging jobs spot.
- 19. Artificial Intelligence 19 $122K+ averageacross various AI careers
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- 22. Front-end Frameworks 22 $76K/yr forFront-end Engineers $105K/yr for Full-stack Engineers
- 23. The Mixed Reality 23 Accordingto Hired’s 2019 State of Software Engineers report, demand for AR and VR engineers surged by an incredible 1,400%.
- 24. The Mixed Reality 24 $75Kfor VR and $80K for AR According to Statista, the market size was around $6.1 billion in 2016 but is expected to reach $215 billion by 2021.
- 25. Data Science &Analytics 25 84% of enterprises have launched advanced analytics and Big Data initiatives.
- 26. Data Science &Analytics 26 The third-best job in America, according to Glassdoor's annual Best Jobs in America report. $60K for data analysts $91K for data scientists
- 27. Data Engineering 27 Since 2015,the hiring growth rate of this technology job has increased by nearly 35% across a wide variety of industries.
- 28. Network and Information Security(Cybersecurity) 28
- 29. Network and Information Security(Cybersecurity) 29 The number of data breaches increased by 50% in 2019. The company demand for security engineers has increased by 132%.
- 30. Network and Information Security(Cybersecurity) 30 $99K/yr 6 of the 15 top-paying IT certifications are focused on security. expected to reach 3.5 million unfilled jobs by 2022
- 31. Blockchain 31 According to Gartner,the business value of blockchain will be $3.1 trillion in by 2030. Between late 2017-late 2018, demand for blockchain engineers increased by 400%. between $150K and $175K
- 32. Cloud Computing 32 According toGartner, the market for public cloud services is projected to grow by 17% in 2020 to total $266.4 billion. $146K for cloud computing professionals
- 33. Internet of Things(IoT) 33 IoT is poised to be the next tech jobs boom Total economic impact of up to $11 trillion by 2025.
- 34. Internet of Things(IoT) 34 According to a 2016 poll, 94% of businesses were investing in initiatives to prepare for the IoT. $101K for professionals with an IoT specialty
- 35. UI/UX 35 87% of managerssurveyed by Adobe said hiring more UX designers is the #1 priority for their organization. 14,000 UX designer jobs in the United States alone (and 24,000 in Europe).
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- 37. Mobile Development 37 The globalapp economy is predicted to be worth $6.3 trillion by 2021, up from $1.3 trillion in 2016. There are over 49,000 mobile developer jobs posted on Glassdoor.
- 38. Mobile Development 38 $96K+ (withstarting salaries as high as $75K)
- 39. Database 39 ◦ MySQL ◦ PostgreSQL ◦MongoDB ◦ Redis Employment of database administrators is projected to grow 9 percent from 2018 to 2028, faster than the average for all occupations.
- 40. Database 40 $93K/yr for DatabaseAdministrator $142K/yr Database Engineer
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- 42. 42 What is Right?- Career ◦ Learning Curve ◦ Certifications ◦ Job Opportunities ◦ Salary ◦ Community
- 43. 43 What is Right?- Business ◦ Analyze your business needs ◦ Choose Technology that grows with your business ◦ Always think in terms of need ◦ Have a backup plan
- 44. 44 What is Right?- Business ◦ Have a backup plan ◦ Don’t Forget Training ◦ Learning curve
- 45. 45 Thanks! Any questions? You canfind me at: dhanushkach _dhanushkac dhanushkac dhanushkac blog.dhanushka.dev Stay Safe!!
Editor's Notes
- #6 Knockout, backbone, ember
- #16 Machine learning can be applied to every industry, including healthcare, education, finance, etc. The possibilities are endless, and you can apply your machine learning skills to a role that suits your personality and interests.
- #17 Machine learning can be applied to every industry, including healthcare, education, finance, etc. The possibilities are endless, and you can apply your machine learning skills to a role that suits your personality and interests.
- #19 Because of its increasingly widespread adoption,
- #24 Mixed Reality (MR) is about mixing virtual reality with the real-world view in real-time, ending in creating new enrolment with computer generated objects simulated into the real scene.
- #25 Mixed Reality (MR) is about mixing virtual reality with the real-world view in real-time, ending in creating new enrolment with computer generated objected simulated into the real scene.
- #26 to accelerate their decision-making and bring greater accuracy.
- #27 Data scientist
- #28 Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work. In some ways, data engineering is more closely related to software engineering than to other data roles. Growth of data engineering roles has historically outpaced growth for data scientist jobs.
- #29 For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount. When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from.
- #30 For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount. When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from.
- #31 For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount. When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from.
- #32 Originally devised for the digital currency Bitcoin, blockchain has evolved.
- #33 most in-demand cloud computing skills are Amazon Web Services (AWS), Java, Linux, software development, DevOps, Docker and Infrastructure as a Service (IaaS).
- #34 In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that “talk” to each other. The McKinsey Global Institute predicts that IoT will have a total economic impact of up to $11 trillion by 2025.
- #35 In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that “talk” to each other.
- #38 There are 3.5 billion smartphone users in the world today, and that number is continuing to grow every year.
- #39 There are 3.5 billion smartphone users in the world today, and that number is continuing to grow every year. The future of mobile development goes beyond phones: wearable technologies, the Internet of Things, beacon technology, increase in use of VR/AR, and more.
- #40 There are 3.5 billion smartphone users in the world today, and that number is continuing to grow every year. The future of mobile development goes beyond phones: wearable technologies, the Internet of Things, beacon technology, increase in use of VR/AR, and more.
- #41 There are 3.5 billion smartphone users in the world today, and that number is continuing to grow every year. The future of mobile development goes beyond phones: wearable technologies, the Internet of Things, beacon technology, increase in use of VR/AR, and more.