15 Best Programming Languages to Learn in 2019 (for Job & Future)

Table of Contents

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 community 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).

Let us take a look at best Programming Languages to learn in 2019 for a job and for future prospects:

Python

Python-Logo

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.

Java

Java-Logo

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.

C/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 as 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.

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.

Go programming language

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.

R

R Programming Language

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.

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.

PHP

PHP

PHP is among the most popular backend programming language. Though PHP is facing a 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.

C#

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.

 

MATLAB

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.

 

 

Ruby

Ruby is another scripting language that’s commonly used for web development. In particular, it’s used as the basis for the popular Ruby on Rails web application framework.

Beginners often gravitate to Ruby because it has a reputation for having one of the friendliest and most helpful user communities. The Ruby community even has an unofficial saying, “Matz is nice and so we are nice,” encouraging members to model their kind and considerate behavior on Ruby’s chief inventor Yukihiro Matsumoto.

In addition to the active community and its straightforward syntax, Ruby is also a good language to pick up thanks to its association with great tech businesses. Twitter, Airbnb, Bloomberg, Shopify and countless other startups have all built their websites using Ruby on Rails at some point.

SQL

SQL (es-que-el) stands for Structured Query Language, is a programming language to operate databases. It includes storing, manipulating and retrieving data stored in a relational database.

SQL keeps data precise and secure, and it also helps in maintaining the integrity of databases, irrespective of its size.

SQL is used today across web frameworks and database applications. If you are well versed in SQL, you can have better command over data exploration, and effective decision 

Rust

Rust is a bit of an upstart among the other languages on this list, but that doesn’t mean it’s not a valuable language to learn. Stack Overflow’s 2019 Developer Survey found that Rust was the most loved programming language among developers for the third year in a row, with 78 percent of Rust developers saying that they want to continue working with it.

Developed by the Mozilla Corporation, Rust, like C and C++, is intended primarily for low-level systems programming. What Rust adds to the mix, however, is an emphasis on speed and security. Rust emphasizes writing “safe code” by preventing programs from accessing parts of memory that they shouldn’t, which can cause unexpected behavior and system crashes.

The advantages of Rust mean that other big tech companies, such as Dropbox and Coursera, are already starting to use it internally. While it may be a bit more difficult to master than other beginner languages, Rust programming skills are likely to pay off handsomely as the language’s popularity will only continue to rise in the near future.

Objective-C

Objective-C (ObjC) is an object-oriented programming language. It is used by Apple for the OS X and iOS operating systems and their application programming interfaces (APIs). It was developed in the 1980s and came in usage by some of the earliest operating systems.

Objective-C is object-oriented, general purpose. You can call it hybrid C because of the features it adds to C programming language.

Kotlin

If you are thinking seriously about Android App development, then Kotlin is the programming language to learn this year. It is definitely the next big thing happening in the Android world.

Even though Java is my preferred language, Kotlin has got native support, and many IDEs like IntelliJ IDEA and Android Studio are supporting Kotlin for Android development.

Conclusion

Even if you learn just one programming language apart from the one you use on a daily basis, you will be in good shape for your career growth. The most important thing right now is to make your goal and do your best to stick with it. Happy learning!

 

 

 

 

 

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7 Reasons Why You Should Keep Learning C/C++

Many programmers are frustrated with and leaning away toward the C/C++ programming languages because of the following reasons:

(1) Very steep learning curve..
Many people joined the programming world by learning C or C++, but it’s rare for them to keep learning and mastering these two languages well because they get frustrated in handling the low-level programming elements such as pointers, the memory storage model, address alignment, templates expansion, multi-thread data races, and so on. If these elements are not handled properly, the app will have a high probability of crashing, which will frustrate the new programmer.

(2) Rarely used in modern application development
Nowadays we have many advanced programming languages like Java, C#, Python, Javascript, Go, etc for application development and it seems insane if someone wanted to develop a Web application or backend service in pure C/C++. The common application areas have been taken over by more advanced programming languages such as:

  • Web front-end development: Javascript/Typescript rule everything and the three popular frameworks in frontend are Angular, React, and Vue.
  • Web back-end service development: Javascript (Node), Python (Flask, Django), Java, and PHP are the popular technologies used.
  • Desktop application development: QT (PyQT, C++), Electron (Javascript), WPF (C#).
  • Mobile application development: iOS (Objective-C, Swift), Android (Java).
  • Distributed systems, Big Data, Cloud Computing: Java, Go, Groovy, Scala.
  • Data science, AI (Artificial Intelligence), ML (Machine Learning): Python.

It looks like C/C++ are rarely used in these modern application development areas. So why should we still learn C/C++? Here are 7 reasons why you should:

1. Master other advanced programming languages faster.
Almost all other modern programming languages and popular libraries are built by C/C++. Here are some typical examples:

– Java: The core of Java Virtual Machine hotspot is implemented in C++.
– Python: The Python interpreter is implemented in C.
– Javascript: The most popular Javascript engine V8 is implemented in C++.
– Numpy: One of the most popular scientific libraries in Python and it is widely used in AI and ML, but its core module is implemented in C.

If you just remember the syntax of a programming language or can use the common libraries well, it doesn’t mean you truly mastered the programming language. Knowing the theory behind the languages can help you develop applications in the language more efficiently, which then means you truly mastered the language. But the prerequisite for all of that is you have to know C/C++ well.

2. Bring performance.
When programming in the advanced programming languages, we mainly focus on the implementation of functionalities. We usually use guidelines of best practice to avoid silly mistakes but it is not nearly enough when you need to gain better performance. Better performance requires careful profiling and analysis to find out which code are the performance hot spot and how to rewrite them in a more efficient way.

If you know C/C++ enough, then it will aide you in gaining a better performance because you know how these advanced programming languages run at its lowest level. You will be able to discover the issue faster which may be performance decay, the expensive CPU instructions, the cache miss, the tradeoff of context switching, or something else.

3. Understand the fundamental computer theories well.
Computer networks, operating systems, computer architecture, and compiler theories are four of the most important fundamental computer theories and almost all of our new techniques are built based on these four.

If you are just programming in the advanced programming languages, these machine-level details are usually hidden from you. But these techniques are really important if you want to jump out of the existing frameworks and develop something more.

For example, when the network status is unstable and you need a reliable connection you would not solve the issue with TCP because TCP brings a large latency due to its large retransmission timeout. So how should you do it?

If you understand a computer network well, you can build your own reliable protocol with more aggressive and efficient retransmission schemes. You would then need to integrate it into the network’s SDK and you may need to know how the network protocols are implemented in the Operating System. Your implementation should be efficient so you have to know the computer architecture well too such as using the CPU cache, memory, and network adaptors effectively. Finally, if you want to provide API interfaces for other advanced languages, like Python, Javascript etc, you need to know how the language binding works and compiler theories helps with that.

Most importantly, all these key techniques are based on C/C++.

4. C/C++ powers the world
C/C++ is everywhere. In particular, they power more technologies than we give it credit for.

Most operating system kernels are written in C, including but not limited to Windows, Linux, Mac, iOS, Android and so on.

Modern browsers are also written in C/C++. like Chrome, Firefox etc.

Modern game engines are written in C/C++, like Unity3D, Unreal Engine, cocos2d-x etc.

As mentioned above, programming languages compilers and interpreters are implemented in C/C++ too.

According to the TIOBE Index for March 2018, C/C++ are still the most popular languages. So don’t hesitate to keep learning these two languages that are still powering the world.

5. Interfacing languages

The problem here is that the C++ interface and ABI (Application Binary Interface) isn’t standardized, and depends on the compiler you’ve used. If the library was compiled with a different compiler (or even a different version), you might not be able to call into it.

Not so with C, where the interface is defined and standardized, and is used by many other languages as well.

6. Efficient machine code produced by C++ compilers

Uh, no. C++ not only suffers from the same problem as C here (the language basically can’t make any guarantees whatsoever about the code), its hideously complex syntax prevents compilers from even compiling it correctly!

There’s a reason why the OCaml compiler can produce faster code than C compilers, and why C++ programs are so huge when compiled.

7. You will hardly be seen as a hacker if you don’t know C++

This is an excellent point for generating flame wars, since it relies entirely on your definition of a hacker, and what you think of C++.

Personally, I know C++, and I want my lifetime back that I spent working with that language. C++ is needlessly complex, the “OO” is a joke, and it has so many hidden traps I’m surprised no one has been eaten yet by a C++ compiler.

And the fact that C++ is an almost complete superset of C might have been a good idea to win over the C programmers, but it also means you get all of Cs problems like the preprocessor, and casting, etc.

Someone with a passion for programming languages might know C++, but I can’t imagine them really liking it.

 

So get started with C/C++ and keep learning. Don’t be scared off by its difficulty and steep learning curve. Once you have mastered them, you will gain a lot more knowledge than you expected!

Resources to learn Popular programming C and C++

C Programming For Beginners

Learning C++ Effectively By Practicing

C/C++ Pointers & Applications

Car Parking Management System Using C++

C Programming Language for Beginners

Pointer in C Step By Step Hands On!

Learn C++11 New Features in few Minutes

Summary

Computers are not about calculations, they are about information—organizing, retrieving, and manipulating it. You want to write efficient programs? Then you need to understand and learn to work with data structures. Data structures and algorithms tell you how you can put the programming languages you mastered to good use. Pick up C and C++ and implement and play around with data structures, and see how exciting it all is. In spite of young upstarts, dependable C and C++ continue to be the programming languages of choice for several applications.

How to Learn the C and C++ Languages

The C programming language was originally developed for and implemented on the UNIX operating system by Dennis Ritchie. The C language, which is quite simple, is not tied to any particular hardware or system. This makes it easier for a user to write programs that will run without many (or any) changes on practically all machines.

The C language is often called a middle-level computer language as it combines the elements of high-level languages with the functionalism of assembly language. C programming allows the manipulation of bits, bytes, and addresses—giving the programmer more control over exactly how the program will behave and more direct access to the mechanics of the underlying hardware.

C was created, influenced, and field-tested by working programmers. The end result is that C gives the programmer what the programmer wants.

C++ is an enhanced version of the C language. C++ includes everything that’s part of C and adds support for object-oriented programming (OOP). In addition, C++ also contains many improvements and features that make it a “better C,” independent of object oriented programming.

The C++ language is actually extensible since we can define new types in such a way that they act just like the predefined types which are part of the standard language.

If you just use C++ as a better C, you will not be using all of its power. Like any quality tool, C++ must be used the way it was designed to be used to exploit its richness. Some of the new features include encapsulation, inline function calls, overloading operators, inheritance, and polymorphism.

Why would I want to learn C or C++?

C and C++ are still two of the most popular programming languages out there. The syntax and concepts of C, especially, has stood the test of time, and you can see them being carried on to other popular programming languages, even the modern ones, such as Go.

Even if you are going to build web applications or fancy web front-end components for the rest of your life, learning C will help you understand how software and hardware actually interact.

Besides, C and C++ are everywhere.

C in particular powers a lot more technology than we give it credit for.

On the other hand, some of your favorite software – possibly even the web browser you are reading this article on—is built on C++. Knowing C is a good base, but in many cases, software development will require you to learn C++ and its paradigms.

If you want to develop software that needs to make the most out of a computer’s performance and capabilities—high-end desktop games, sophisticated productivity tools, or complex computationally intensive programs, for instance—or if you just want a programming language that lets you interact with a computer’s hardware directly, C and C++ are the languages for you.

So, why would you not want to learn C++ or C? It’s not like 25 years ago, when you might have had to invest in a proprietary compiler to get started—today you can certainly learn C++ free.

How can I get started with C and C++?

To get started with C or C++, what you’ll want in most cases, at the very least, is a compiler—although nowadays you can also learn C online by experimenting a bit with “hello world” C projects in-browser.

Compilers are programs that can be run through command-line interfaces (CLIs). They read the entire program and convert it into object code, which is a translation of the program source code into a form that the computer can execute directly.

To make life easier, you can go for full-fledged IDEs that can make your experience with C or C++ even more pleasant.

Resources to learn Popular programming C and C++

C Programming For Beginners

Learning C++ Effectively By Practicing

C/C++ Pointers & Applications

Car Parking Management System Using C++

C Programming Language for Beginners

Pointer in C Step By Step Hands On!

Learn C++11 New Features in few Minutes

 

 

What is data visualization? A definition, examples, and resources

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Today’s data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts. The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis. Indicators designed to alert users when data has been updated or predefined conditions occur can also be included.

Importance of data visualization

Data visualization has become the de facto standard for modern business intelligence (BI). The success of the two leading vendors in the BI space, Tableau and Qlik — both of which heavily emphasize visualization — has moved other vendors toward a more visual approach in their software. Virtually all BI software has strong data visualization functionality.

Data visualization tools have been important in democratizing data and analytics and making data-driven insights available to workers throughout an organization. They are typically easier to operate than traditional statistical analysis software or earlier versions of BI software. This has led to a rise in lines of business implementing data visualization tools on their own, without support from IT.

Data visualization software also plays an important role in big data and advanced analytics projects. As businesses accumulated massive troves of data during the early years of the big data trend, they needed a way to quickly and easily get an overview of their data. Visualization tools were a natural fit.

Visualization is central to advanced analytics for similar reasons. When a data scientist is writing advanced predictive analytics or machine learning algorithms, it becomes important to visualize the outputs to monitor results and ensure that models are performing as intended. This is because visualizations of complex algorithms are generally easier to interpret than numerical outputs.

The different types of visualizations

When you think of data visualization, your first thought probably immediately goes to simple bar graphs or pie charts. While these may be an integral part of visualizing data and a common baseline for many data graphics, the right visualization must be paired with the right set of information. Simple graphs are only the tip of the iceberg. There’s a whole selection of visualization methods to present data in effective and interesting ways.

Common general types of data visualization:

  • Charts
  • Tables
  • Graphs
  • Maps
  • Infographics
  • Dashboards

More specific examples of methods to visualize data:

  • Area Chart
  • Bar Chart
  • Box-and-whisker Plots
  • Bubble Cloud
  • Bullet Graph
  • Cartogram
  • Circle View
  • Dot Distribution Map
  • Gantt Chart
  • Heat Map
  • Highlight Table
  • Histogram
  • Matrix
  • Network
  • Polar Area
  • Radial Tree
  • Scatter Plot (2D or 3D)
  • Streamgraph
  • Text Tables
  • Timeline
  • Treemap
  • Wedge Stack Graph
  • Word Cloud
  • And any mix-and-match combination in a dashboard!

Why data visualization is important for any career

It’s hard to think of a professional industry that doesn’t benefit from making data more understandable. Every STEM field benefits from understanding data—and so do fields in government, finance, marketing, history, consumer goods, service industries, education, sports, and so on.

While we’ll always wax poetically about data visualization (you’re on the Tableau website, after all) there are practical, real-life applications that are undeniable. And, since visualization is so prolific, it’s also one of the most useful professional skills to develop. The better you can convey your points visually, whether in a dashboard or a slide deck, the better you can leverage that information.

The concept of the citizen data scientist is on the rise. Skill sets are changing to accommodate a data-driven world. It is increasingly valuable for professionals to be able to use data to make decisions and use visuals to tell stories of when data informs the who, what, when, where, and how. While traditional education typically draws a distinct line between creative storytelling and technical analysis, the modern professional world also values those who can cross between the two: data visualization sits right in the middle of analysis and visual storytelling.

There are loads of free courses and paid training programs

There are plenty of great paid and free courses and resources on data visualization out there, including right here on the Simpliv website. There are videos, articles, and whitepapers for everyone from beginner to data rockstar. When it comes to third-party courses, however, we won’t provide specific suggestions in this article at this time.

Top 5 Amazon Web Services or AWS Courses to Learn Online

A list of some free AWS courses to learn Amazon Web Services online at your own pace

Hello guys, if you want to learn Amazon Web Services, popularly known as AWS and looking for some awesome resources e.g. books, courses, and tutorials then you have come to the right place.

In this article, I am going to share some of the best Amazon Web Services or AWS courses which will help you to learn this revolutionary and valuable technology free of cost.

Unlike other free courses, these are genuine free AWS courses which are made free by their authors and instructors for the promotional and educational purpose.

You just need to enroll with them and then you can learn AWS at any time, at any place and on your own schedule.

But, if you are completely new to AWS domain or Cloud let me give you a brief overview of Amazon Web Services and its benefits over traditional infrastructure setup.

What is Amazon Web Service (AWS)? Benefits

The AWS is nothing but an infrastructure service provided by Amazon. It’s a revolutionary change because it allows you to develop an application without worrying about hardware, network, database and other physical infrastructure you need to run your application.

For example, if you want to develop an online application for your business, you need a lot of servers, database, and other infrastructure.

You need to rent a data center, buy servers, routers, database, and other stuff to get the start, which is pain and pose a big hurdle for many entrepreneurs. AWS solves that problem by renting their infrastructure and servers with a nominal cost of what you incur in setting up yourself.

Amazon has built many data center around the world to support their core business i.e. the E-Commerce business which powers Amazon.com and AWS just emerge from that.

AWS allows Amazon to monetize its massive infrastructure by renting out to people and business who needs that.

It created the phenomenon of Infrastructure as Service because now you only need to pay for infrastructure you are actually using.

For example, if you set up your own data center and buy 10 servers and 10 databases but end up using only 5 of them then remaining are waste of money and they also cost in terms of maintenance. With Amazon Web Service, you can quickly get rid of them.

Similarly, you can scale pretty quickly if you are hosting your application on cloud i.e. on Amazon Web Service.

If you see that your traffic is increasing then you can quickly order new servers and boom your new infrastructure is ready in hours unlike days and months with the traditional approach.

You also don’t need to hire UNIX admins, Database Administrator, Network admins, Storage guys etc, All that is done by Amazon and because Amazon is doing it in a scale, it can offer the same service at much lower cost.

In short, Amazon Web Service gives birth to the concept of Cloud which allows you to bring your business online without worrying about hardware and infrastructure which powers them.

Top 5 Courses to Learn Amazon Web Service (AWS)

Now that we know what is AWS and what are the benefits it offers in terms of Infrastructure as service, it’s time to learn different Amazon service in depth and that’s where these courses will help you.

You can join these courses if you want to learn about AWS and Cloud in general or you are preparing for various AWS certifications like AWS Solutions ArchitectAWS SysOps Admin, or AWS Developer (associate). These courses will help you to kick-start your journey to the beautiful world of AWS.

1. Amazon Web Services — Learning and Implementing AWS Solution
This is one of the best course to learn Amazon Web Service and it’s FREE. It follows the principle of learning by example and real-world scenarios and that reflects in their course.

This is a short course, having just 2 hours worth of material but it’s power packed and intense. There is no nonsense talk or flipping, the instructor Dhruv Bias always means business.

Even if you check the preview chapter you will learn a lot about what is AWS and what problem it solves, what benefits it offers and why should you learn it.

The course is divided into 5 sections, in the first section you will get an Introduction of AWS and Overview of the course while remaining section focus on different Amazon Web Service offering e.g. Amazon S3(Simple Storage Service), Amazon AWS EC2 (Elastic Cloud Computer) and Databases like AWS DynamoDB or RDB.

Overall a great free course to learn what is AWS and its different services. I highly recommend this course to any programmer who wants to learn about Cloud and Amazon Web Service (AWS).

2. AWS Concepts
This is another awesome free course to learn Amazon Web Service on Simpliv. It’s from LinuxAcademy and taught by instructor Thomas Haslet.

The series is actually divided into 2 courses: AWS Concepts and AWS Essentials.

This is the first part while the next course, which is also free is the second part of this series. In this course, you will learn the concepts of Cloud Computing and Amazon Web Service from instructor Thomas Haslet who is also a certified AWS developer.

He holds all three AWS certification for associate level e.g.

  1. AWS Solutions Architect (associate)
  2. AWS SysOps Admin (associate)
  3. AWS Developer (associate)

This course is for the absolute beginner, someone who has never heard about Cloud or AWS but understand what is hardware, serverdatabase and why you need them. In this course, you will not only learn essential concepts but also build your vocabulary.

You will find answers to all of your basic AWS question e.g. what is Cloud?What is AWS? What is AWS Core Services? What is the benefit of AWS? Why should you use it? in this course.

In short, a perfect course if you are new to the cloud. You will learn about VPC, EC2, S3, RDS and other Cloud terminology in simple language.

3. AWS Essentials
This is the second part of the free AWS courses by LinuxAcademy on Simpliv. If you have not read the first part, AWS Concepts then you should finish that first before joining this course, though it’s not mandatory.

This course goes into little bit more details into AWS Core Services then previous one. It also has a lot of materials with around 50 lectures covering different cloud and AWS concepts.

The course is divided into 14 section and each one covering a key AWS concept e.g. Identity and Access Management (IAM), Virtual Private Cloud (VPC), Simple Storage Service (S3)Elastic Compute Cloud (EC2), Database, Simple Notification Service (SNS), Auto Scaling, Route 53, Serverless Lambdas etc.

In short, one of the most comprehensive AWS course which is also free. More than 70 thousand students have already enrolled in this course and learning AWS and I also highly recommend this one to anyone interested in Cloud and AWS.

4. Learn Amazon Web Services (AWS): The Complete Introduction
This is another useful and exciting free AWS course you will love to join on Simpliv. In this course instructor Mike Chambers, an early adopter of Cloud and AWS explains the basics of Amazon Web Services.

The course is also very hands-on, you will start up signing up to AWS, creating your account and then using the command line interface to control AWS.

You will also learn to navigate around the AWS console, build Windows and Linux Servers and create a WordPress website in 5 minutes which demonstrate how you can leverage Cloud for your database, server, and storage requirement.

The course also teaches you how to build a simple AWS serverless system.

The course not only focuses on AWS technology and terminology but also teaches you basics e.g. the true definition of Cloud Computing and How AWS fits into Cloud model. You will also get some realistic picture to find where is AWS located in the world.

But, most importantly you will gain some hands-on experience in essential AWS services like

  1. AWS S3 — Amazon Simple Storage Service
  2. Amazon Lambda — Function as a Service
  3. AWS EC2 — AWS Elastic Simple Computer Service

In short, one of the best free course to learn Amazon Web Service and Cloud Computing basics.

5. Amazon Web Services (AWS) — Zero to Hero
This is another short but truly hands-on AWS course which will teach you how to perform a common task on the AWS interface. In just 2 hours time you will learn how to launch a WordPress website based on Amazon EC2 service.

You will also learn how to create a NodeJS based web application, sending an email with AWS SES, uploading a file to AWS S3, the storage solution provided by Amazon and finally, learn to create and connect to an AWS relational database server.

In short, a great course if you want to use AWS for hosting your application or want to learn how you can leverage Cloud to host your application and most importantly its FREE.

That’s all about some of the best free courses to learn Amazon Web Services or AWS. These are absolutely free courses on Simpliv but you need to keep that in mind that sometime instructor converts their free course to paid course once they achieve their promotional target.

This means you should check the price of the course before you join and if possible join early so that you can get the course free. Once you are enrolled in the course its free for life and you can learn at any time from anywhere.

I generally join the course immediately even if I am not going to learn AWS currently. This way I can get access to the course and I can start learning once I have some time or priority changes.

 

Selenium Tutorials: Best Free Selenium Training Tutorials

This course talks in two hours about the different concepts of selenium using selenium ide. It discusses installation, usage, different selenium commands. explains locators, differences between verify and assert statement. It also talks about the limitations of selenium IDE. Selenium IDE is a firefox add on which is supported by firefox browser only. It is to be used only for record and playback of actions.

Who is the target audience?

Anyone interested in Selenium and Automation

Basic knowledge
  • Basic Manual Testing
What you will learn
  • Learn everything about Selenium IDE

 

 

Top 15 AWS Blogs and Websites To Follow in 2019

AWS Blogs List.
The Best AWS Blogs from thousands of AWS blogs on the web using search and social metrics. Subscribe to these websites because they are actively working to educate, inspire, and empower their readers with frequent updates and high-quality information.

AWS Blogs

1. AWS Blog

About Blog Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Follow this blog to get the latest news and information on AWS.
Frequency about 3 posts per week.
Since Nov 2004
Blog aws.amazon.com/blogs

2. What’s New at AWS | Cloud Innovation & News

About Blog The AWS Cloud platform expands daily. Learn about announcements, launches, news, innovation and more from Amazon Web Services.
Frequency about 21 posts per week.
Since Oct 2004
Blog aws.amazon.com/new

3. Whizlabs Blog | Amazon Web Services

About Blog Whizlabs is the pioneer among the online certification training providers over the world. Follow this blog for AWS certifications’ preparation guides, resources, latest updates, technical topics, up-to-date study & practice material, and get connected with the experts.
Frequency about 1 post per week.
Blog whizlabs.com/blog/aws-certif..

4. N2WS | EC2 AWS Disaster Recovery Blog

About Blog N2W Software is CPM (Cloud Protection Manager), enterprise-class EC2 Backup and Disaster Recovery software. Follow this blog which is a complete guide to EC2 AWS Disaster Recovery solutions.
Frequency about 2 posts per week.
Since Jan 2013
Blog n2ws.com/blog

5. AWSInsider

About Blog Follow this blog to get how-to, tips, tricks and more hands-on advice for working with Amazon Web Services (AWS).
Frequency about 1 post per week.
Since Aug 2014
Blog awsinsider.net/Home.aspx

6. Amazon Web Services (AWS)

About Blog Follow this blog to know to build a highly availabe, scalable and cost efficient cloud infrastructure based on Amazon Web Services (AWS).
Frequency about 3 posts per month.
Since May 2015
Blog https://www.simpliv.com/blog

7. Reddit | Amazon Web Services

About Blog News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more from the Reddit community.
Frequency about 168 posts per week.
Blog reddit.com/r/aws

8. A Cloud Guru

About Blog Cloud Guru is a sourced collection of cloud computing and serverless articles. Follow this blog to get articles on AWS cloud.
Frequency about 2 posts per month.
Since Oct 2015
Blog read.acloud.guru

9. Metricly | Cloud Monitoring Blog

About Blog Metricly is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs.
Frequency about 2 posts per month.
Blog metricly.com/blog

10. Trek10

About Blog Trek10 designs, builds and supports cutting-edge solutions for clients using the absolute best tools and AWS platform services. Their superpower is building serverless applications on AWS and enabling enterprises to realize the benefits of adopting serverless technologies. They are fully staffed by AWS Certified Solutions rock stars. Follow this blog to get resources and articles on AWS.
Frequency about 2 posts per month.
Blog trek10.com/blog

11. Jayendra’s Blog | AWS Certification Catalog

About Blog Jayendra Patil is AWS Certified Solution Architect Professional. He has hands on experience on Technical & Solution Architect. He has been working on Java, Web, Big Data and Cloud technologies for over 13 years. Follow this blog to get in depth knowledge on AWS Certification.
Frequency about 1 post per month.
Blog jayendrapatil.com

12. Alestic.com | A Personal AWS Blog by Eric Hammond

About Blog Alestic.com is a technical blog published by Eric Hammond. It covers personal experience and thoughts about Amazon AWS.
Frequency about 1 post per month.
Since Nov 2007
Blog alestic.com

13. CloudThat’s Blog | AWS

About Blog CloudThat is the first company in India to provide Cloud Training and Consulting services for mid market & enterprise clients around the world. Follow this blog to get the best resource on AWS.
Frequency about 1 post per month.
Since Feb 2013
Blog blog.cloudthat.com/category/aws

14. Onica Blog

About Blog Onica is an AWS Premier Consulting Partner providing migration and managed services helping companies succeed on the AWS cloud. Learn from our AWS certified experts by reading our technical, education, how-to AWS blog.
Frequency about 1 post per week.
Since Sep 2014
Blog onica.com/blog

15. Stelligent Blog

About Blog Stelligent, is a technology services company that provides DevOps automation in the Amazon Web Services (AWS) cloud. Follow this blog to know more about DevOps automation in the Amazon Web Services.
Frequency about 2 posts per month.
Since Jul 2009
Blog stelligent.com/blog

16. AWS Cloud helpers

About Blog This site is for AWS Users . Its basically a community for New and Experience AWS People to help each other . Its a forum for helping AWS Cloud people so please keep it Clean and don’t repeat the questions and answers.
Frequency about 15 posts per week.
Blog aws.in.net