The most important
skill to learn in today’s world is to know how to write a computer program.
Today, computers have entered in almost every industry. Be it the autopilot in
an aircraft or digital speedometer in your bike, computers in various forms surround
us. Computers are extremely useful for an organization to scale up well. Gone
are the days of pen and paper. Today, in order to store and access your
information, you absolutely need computers.
The programming and
developer communities are emerging at a rate faster than ever before. Various
new programming languages are coming up that are suited for different
categories of developers (beginners, intermediate, and experts) as well as for
different use cases (web application, mobile applications, game development,
distributed system, etc). Every beginner is puzzled with the question,
"What programming language should I learn?" Let us take a look
at best Programming Languages to learn in 2020 for a job and for future
prospects:
1. Python
Python undoubtedly tops
the list. It is widely accepted as the best programming language to learn
first. Python is fast, easy-to-use, and easy-to-deploy programming language
that is being widely used to develop scalable web applications. YouTube,
Instagram, Pinterest, SurveyMonkey are all built-in Python. Python provides
excellent library support and has a large developer community. The programming
language provides a great starting point for beginners. Talking about those who
are looking for a better job, you should definitely learn Python ASAP! A lot of
startups are using Python as their primary backend stack and so, this opens up
a huge opportunity for full-stack Python developers. Here is a sample Python “Hello
World!” program:
print “Hello World!"
Yes, Python is that
simple! Anyone who wishes to join a startup should master Python programming.
Difficulty level: Easy to learn. Best language for beginners. 5 out of 5.
Job opportunity: Huge! 5 out of 5.
Pros:
- Creating and using classes and objects is easy thanks
to OOP characteristics
- Extensive library support
- Focuses on code readability
- Has the ability to scale even the most complex
applications
- Ideal for building prototypes and testing out ideas
faster
- Open-source with an ever-growing community support
- Provides support for a multitude of platforms and
systems
- Very easy to
learn and use
Cons:
- Not suitable for mobile computing
- Slower by virtue of being an interpreted programming
language
- The database access layer is somewhat immature
- Threading isn’t good because of GIL (Global Interpreter
Lock)
2. Java
Java is another popular choice in large organizations and it
has remained so for decades. Java is widely used for building enterprise-scale
web applications. Java is known to be extremely stable and so, many large
enterprises have adopted it. If you are looking for a development based job at
a large organization, Java is the language that you should learn. Java is
also widely used in Android App Development. Almost any business today needs an
Android Application owing to the fact that there are billions of Android users
today. This opens up a huge opportunity for Java developers given the fact that
Google has created an excellent Java-based Android development framework -
Android Studio.
Difficulty level: Easy to moderate to learn. 4 out of 5.
Job opportunity: Huge! 4.5 out of 5. [Best Java tutorials and courses]
Pros:
- An abundance of open-source libraries
- Automatic memory allocation and garbage collection
- Follows the OOP paradigm
- Has the stack allocation system
- A high degree of platform independence thanks to the
JVM feature
- Highly secure due to the exclusion of explicit pointer
and inclusion of a security manager responsible for defining the access of
classes
- Ideal for distributed computing
- Offers a galore of APIs for accomplishing different
tasks, such as database connection, networking, utilities, and XML parsing
- Supports multithreading
Cons:
- Absence of templates limits creating high-quality data
structures
- Expensive memory management
- Slower than natively compiled programming languages,
like C and C++
3. C/C++
C/C++ is like the bread and butter of programming. Almost all
low-level systems such as operating systems, file systems, etc are written in
C/C++. If you wish to be a system-level programmer, C/C++ is the language you
should learn. C++ is also widely used by competitive programmers owing to
the fact that it is extremely fast and stable. C++ also provides something
called STL - Standard Template Library. STL is a pool of ready-to-use libraries
for various data structures, arithmetic operations, and algorithms. The library
support and speed of the language make it a popular choice in the High-frequency trading community as well.
Difficulty level: Easy to moderate to learn. 3 out of 5.
Job opportunity: Moderate! 3.5 out of 5.
Pros:
- A galore of compilers and libraries to work with [C++]
- Eases accessing blocked or hidden objects by other
programming languages [C]
- Faster execution of programs than most programming
languages [C/C++]
- Forms the basis for understanding more complex
programming languages [C/C++]
- Language of choice for multi-device, multi-platform app
development [C++]
- Offers a great degree of portability [C]
- Procedure-oriented language with a group of function modules
and blocks. These make debugging, testing, and maintaining the programs
easier [C]
- Programs are more efficient and easy to understand
[C/C++]
- Rich function library [C++]
- Runs close to the system hardware and hence, offers a
low level of abstraction [C/C++]
- Support exception handling and function overloading
[C++]
- Wide variety of application domains, such as games, GUI
applications, and real-time mathematical simulations [C++]
Cons:
- Complex syntax [C/C++]
- Doesn’t support program namespace [C]
- Incapable of solving modern, real-world programming
challenges [C]
- Less efficient object-oriented system compared to other
OOP-based programming languages [C++]
- Need to manually create the high-level constructs [C]
- No garbage collection or dynamic memory allocation
[C/C++]
- No run-time checking [C/C++]
- No strict type checking [C]
- Not an easy first-choice for learning programming
[C/C++]
- Plagued by the issues of buffer overflow and memory
corruption [C/C++]
- Smaller standard library [C]
4. JavaScript
JavaScript is
the “frontend” programming language. JavaScript is widely used to design
interactive frontend applications. For instance, when you click on a button
which opens up a popup, the logic is implemented via JavaScript.
These days, many
organizations, particularly startups, are using NodeJS which is a
JavaScript-based run-time environment. Node.js lets developers use JavaScript
for server-side scripting—running scripts server-side to produce dynamic web
page content before the page is sent to the user's web browser. Hence now with
JS, you can use a single programming language for server-side and client-side
scripts. If you are looking for that cool tech job at your favorite startup,
you should seriously consider learning JavaScript.
Difficulty level: Easy to learn. 4.5 out of 5.
Job opportunity: Huge! 5 out of 5. [Best JavaScript tutorials and courses]
Pros:
- Client-side JavaScript is very fast. It runs
immediately within the web browser as there is no compilation requirement
- Gives a richer interface to a website
- Highly versatile
- It is the programming language of the web
- Reduced website server demand by virtue of being
client-side
- Regular updates via the ECMA specification
- Several add-ons, such as Greasemonkey, for extending
the functionality
- Simplistic implementation
- Plenty of resources and a mammoth community support
- Used for building a diverse range of applications
- Works exceptionally well with other programming
languages
Cons:
- Absence of copy or equivalent method
- Allows only single inheritance
- As the code executes on the user machine, many people
choose to disable JavaScript due to the fear of being exploited for a malicious
intent
- Might be interpreted differently by different browsers
5. Go programming language
Go, also known as Golang, is a programming
language built by Google. Go provides excellent support for multithreading and
so, it is being used by a lot of companies that rely heavily on distributed
systems. Go is widely used in startups in Silicon Valley. However, it is yet to
be adopted by Indian companies/startups. Those who wish to join a Valley-based
startup specializing in core systems should master Golang.
Difficulty level: Easy to moderate to learn. 3 out of 5.
Job opportunity: Moderate! 2.5 out of 5. [Best Golang tutorials]
Pros:
- Backed by Google
- Being a statically-typed language makes it more secure
- Cleaner syntax makes it easier to learn
- Comprehensive standard library offering a range of
inbuilt functions for working with primitive types
- Ideal for building SPAs (single-page applications)
- Smart documentation
- Very fast as it is compiled to machine code
Cons:
- Absence of a virtual machine makes complex programs
less efficient
- Implicit interfaces
- Lacks versatility
- No GUI library
- Underprivileged library support
6. R
R programming language is one of the most commonly used
programming languages for Data Analysis and Machine Learning. R provides an
excellent framework and built-in libraries to develop powerful Machine Learning
algorithms. R is also used for general statistical computing as well as
graphics. R has been well adopted by enterprises. Those who wish to join
“Analytics” team of a large organization should definitely learn R.
Difficulty level: Easy to moderate to learn. 3 out of 5.
Job opportunity: Huge! 4 out of 5. [Best R tutorials]
Pros:
- Ability to run seamlessly on various operations systems
- Active, mushrooming community
- Being open-source and free grants the ability to make
tweaks as per the requirements
- Comprehensive statistical analysis language
- Highly extensible
- Powerful package ecosystem
Cons:
- Lacks security features
- No strict programming guidelines
- Poor memory management
- Quality of some packages is subpar
7. Swift
Swift is the programming language that is used to develop iOS
applications. iOS-based devices are becoming increasingly popular. Apple
iPhone, for instance, has captured a significant market share and is giving a
tough competition to Android. Therefore, those who want to serve this community
can learn Swift programming.
Difficulty level: Easy to moderate to learn. 3.5 out of 5.
Job opportunity: Huge! 4 out of 5. [Best Swift tutorials]
Pros:
- Automatic memory management prevents memory leaks
- Backed by Apple
- Better scalability allows easily adding functionalities
to the product and/or bringing in additional developers
- Easy to add new features
- Encourages developers to write clean and readable code
- English-like syntax makes it highly readable
- Interoperable with Objective-C
- It is possible to integrate Server-side Swift with any
technology
- Makes code sharing better and development process
faster when used for both frontend and backend development
- Very fast as compared to other popular programming
languages, such as Objective-C and Python
Cons:
- Limited community support and resources
- Somewhat unstable due to being a relatively new arrival
on the programming scene
- No support for legacy projects; can be used only for
iOS7 or later apps
8. PHP
PHP is among the most popular backend programming language.
Though PHP is facing tough competition from Python and JavaScript, the market still needs a
large number of PHP developers. Those who wish to join a reasonably well old
organization as a backend developer should aim to learn PHP programming.
Difficulty level: Easy to learn. 4.5 out of 5.
Job opportunity: Huge! 4.5 out of 5. [Best PHP tutorials and courses]
Pros:
- Abundance of powerful frameworks
- Easy to get started for making web pages
- First-class debugging with Xdebug
- Gigantic community support and a huge ecosystem
- Lots of automation tools for testing and deploying
applications
- No scarcity of good automation tools for deployment and
testing
- Supports object-oriented and functional programming paradigms
Cons:
- Developing websites completely in PHP is slower as
compared to using other options
- Lacks in terms of security
- Poor error handling
- Requires extensions to a greater extent
9. C#
C# is a general-purpose programming language developed by
Microsoft. C# is widely used for backend programming, building games (using
Unity), building Window mobile phone apps and lots of other use cases.
Difficulty level: Easy to moderate to learn. 3.5 out of 5.
Job opportunity: 2.5 out of 5. [Best C# tutorials and courses]
Pros:
- As pointer types aren’t permitted, much safer than C
and C++
- Ability to work with shared codebases
- Automatic scalable and updateable
- Component-oriented, object-oriented programming
language
- Follows a syntax similar to the C programming language
- Fully integrated with the .NET library
- Ideal for all types of Windows development
- Rich sets of library functions and data types
- Supports type safety
- Quick compilation and execution times
Cons:
- Allows pointers in ‘unsafe’ blocks
- Almost all variables are references and memory
deallocation is implicit using a garbage collector
- Offers less flexibility than C++
- Requires decent effort and time to learn
- Resolving errors requires serious expertise and
knowledge
10. MATLAB
MATLAB is a statistical analysis tool that is used in various
industries for Data Analysis. MATLAB is used widely in the Computer Vision and
Image processing industry as well.
Difficulty level: Easy to moderate to learn. 3 out of 5.
Job opportunity: Huge! 4 out of 5. [Best MATLAB tutorials and courses]
Pros:
- Eases developing scientific simulation thanks to a rich
inbuilt library
- Functionality can be extended greatly by adding
toolboxes
- High coding efficiency and productivity as it doesn’t
require a compiler for execution
- Ideal for developing scientific research applications
- Matlab Coder allows converting code for using in other
programming languages, such as C++, Java, and Python
- Platform-independent
Cons:
- Not free to use, requires purchasing a license
- Not much application beyond the scope of numerical
computing
- Dealing with errors generated during cross-compilation
requires extensive knowledge and experience
- Slower due to being an interpreted programming language
Summary
- Python and JavaScript are hot in the startup world. Many startups use
Django (Python), Flask (Python), and NodeJS (JavaScript) as their backend
frameworks. Python and JavaScript are easy-to-learn and therefore
considered the best programming languages to learn for beginners. Moreover, both of them
also provide a huge market opportunity. Therefore, those who are looking
for a job change may also consider learning them.
- Java and PHP are hot in the corporate world. Many
organizations use Spring (Java) and Codeigniter (PHP) as their web backend framework.
- R and MATLAB are hot in the Data Analytics world. If you wish
to develop a career in Data Analytics or Data Science, these are the
languages to learn.
- C/C++ and Golang are the top choices in building
low-latency and scalable systems.
I hope you would have
found your answer to "which programming language to learn first" by
now. Feel free to ask your question(s) in the comment, and I'll be happy to
respond. All the best!
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