What Are Full Stack Developer Trends

Posted on February 15, 2019May 15, 2026 by Imarticus Learning

What Are Full Stack Developer Trends

The full stack developer trends aim to garner the attention of audiences in both quality and quantity of generated sales by utilizing the web benefits to the hilt using the most modern trends of frameworks in JavaScript. They impact the full stack developers globally as they can now use the same front-end language they already know in writing backend codes too.

Front-End Trends in frameworks:

1. Vue.js:

VueJs is comparatively a new entrant who gained traction in the growing world of developers. It works with a simple straight forward API and MVVM design principles. VueJs is minimalistic and permits the use of any specific modules whenever required. Its forerunners are ReactJS, AngularJS, RivetsJS and the knockoutJS. It like the predecessors’ updates two-way data binding in the model-and-view segment.
While Vue is definitely not in the same league as Ember or Angular it has a respectable market share and the potential to emerge as the future of the JavaScript framework 10 months after Evan You released this software declared the 40K stars most-popular front-end JavaScript framework on GitHub.

2. Angular.js

Google’s baby AngularJS, is the ruler in JavaScript frameworks. It has the largest developer community and is the favoured framework for the development of Single-Page Applications. It enables HTML by including features for building user-interface dynamic-views which are interactive.
It provides options to HTML extended attributes using Angular directives and two-way data-binding, making code writing for DOM manipulation easy. The 2016 version for mobile apps succeeded and it graduated from v2 to v6 in two years. The new v7 is expected to beat them all.

3. React.js

Facebook and Instagram use the React.js JavaScript Framework in the user interface and index the popularity it enjoys in building dynamic large-scale mobile-adaptable applications. ReactJS scores in high performances on complex user-interfaces using a virtual DOM rendered optionally at the server or client side with communications both ways.

4. Ember.js

Ember.JS MVC JavaScript framework has popular users like LinkedIn, Discourse, Chipotle, Vine, Live Nation, Groupon, Nordstrom, Twitch.tv and many others. This web framework can also build mobile and desktop applications like Apple Music.
5. Also watch out for Node.js, GraphQL, and Next.js who also have increased popularity in applications for all platforms web, desktop, and mobiles.

The full stack development course offered by most leading institute appears positive and bright in 2019. The course contents are being regularly tweaked with updates and offer the most viable way to learn through practical implementation the latest in technological developments. Stay abreast of the latest fads by broadening your stack profile and upgrade your proficiency in the Javascript trending suite of software.
In parting, Javascript has emerged the most popular of all frameworks overcoming worthy challengers like the back end PHP frameworks Ruby, Python, and others. Each does have its pros and cons and technology itself is in a state of flux. We can only adapt to change which is the common denominator.

What is the Learning Curve for Python Language?

Posted on February 15, 2019May 15, 2026 by Imarticus Learning

What is the Learning Curve for Python Language?

Most people will tell you that Python is the easiest language to learn and should be one of the first languages that you should learn when considering a career in Python programming. Well, they are mostly right, parting with a good piece of advice. And most probably you should take these comments seriously.

However, before you kick start with unclear expectations, you should be clear about what does it truly mean by ‘learning the language’, is it being a pro and acquiring absolute knowledge of Python, or to begin with, working knowledge, that helps you start with the basics, while you can continue to learn and gain additional knowledge on the go. Python is an awesome choice, with a relatively faster learning curve, which is determined by various factors and disclaimers.

For starters, Python should be your first programming language, simply because not only will you be able to pick up the basics quickly you will also be able to adapt to the mindset of a programmer. Python is easy to learn with a steady learning curve.

Especially when compared to other programming languages that have a very steep learning curve. Mainly because Python is very readable, with considerably easy syntax, thus a new learner will be able to maintain the focus on programming concepts and paradigms, rather than memorizing unfathomable syntax.

For those thinking that Python is said to be too easy to learn, perhaps it might not be sufficient, and hence while it could have a gradual learning curve, in terms of applicability it might not be adequate, don’t be misguided. Python is not easy because it does not have deep programming capabilities, on the contrary, Python is superefficient, so much so that NASA uses it.

So as a beginner, when you start adapting Python to your daily work, you will notice that with a combination of theoretical learning and practical applicability of the same at work, one will be able to accomplish almost anything they desire to, through its use. With the right intent, applicability, and ambition one can even perhaps design a game or perform a complex task, without prior knowledge of the language.

The learning curve for Python also depends on certain obvious factors like your prior knowledge, exposure to the concepts of programming, etc…

If you are a beginner, devoting a couple of hours on understanding the language, then say in a month, you will be able to get a good feel of the language, mostly so if Python is your first language. If you have previous knowledge of programming, Javascript, C++, or if you understand the concepts of variables, control loops, etc…, then your hold on the language is even faster.

Either way, when learning is combined with practical real-life applicability, within a few days or a month you will be able to write programs, mostly expected out of a new learner. If the same method of learning is adapted for a month or two, along with exposure in programming, one will gain knowledge of the built-in functions and general features of the language. This will help and build confidence in the new learner to enhance their capabilities in programming.

Once the basics are in place, a new learner can then delve further to leverage the power of Python’s libraries and modules which are available as an open-source.

To conclude, it is a fact that Python is designed to be used in complex programming, yet at the same time, it is easy to learn and is truly a lightweight language. And once the basics are in place you can take up tutorials and advanced courses, to enhance your understanding.

How to Up skill Your Career in Big Data Analysis?

Posted on February 15, 2019May 15, 2026 by Imarticus Learning

We are in the midst of a digital revolution; it only means that Big Data analytics is, and will continue to be one of the most important fields, working as a catalyst, to assist businesses to unveil the insights from data and aid business growth. It is predicted that in the coming years, big data analytics will continue to grow by leaps and bounds, and will impact our lives in ways beyond our current understanding. Therefore, initiating a Career in data analytics or big data could be the wisest move that one makes. However, breaking into this field is not as easy as it sounds, as there is a combination of skills and technology available, a person planning a career in data analytics might not know which skill to pick up, and where to start from.

You need to be academically relevant to the field, like a Bachelor’s or a Master’s degree in the relevant filed like, statistics, math, or a PhD will further improve your chances of not only professional success but great salary packages as well. So if you have a chance to acquire an advanced degree please do so. If not, and you are in the mid of your career than picking up a course or certification would be the next best option. Certified Analytics Professional, Data Science Associate, PG Data Analytics by Imarticus Learning, Big Data and Hadoop by Imarticus Learning, and other similar certifications are available to choose from.

A career in data science will need to be of two types

Technical Skills

You will need to upscale or build on the already existing technical skills to succeed in this ever-evolving field. Working knowledge of Statistics, understanding the concepts of Data Mining, Data Science with R, Python or SAS, Application of Machine Learning, Deep Learning and Artificial Intelligence, Software Programming Languages and Database Management, and lastly Data Visualisation, are a few skills, of these you could choose to build deep knowledge in a few or all skills, depending upon the scope of work interest and business requirement.

Business Skills

A person planning to work in the analytics field, irrespective of their level and designation, should know how to correlate their tasks with the larger picture, hence Business Acumen, Inquisitiveness in Problem Identification, Approach and Solution, Creativity and most importantly Communication are a few non-negotiable skills to be developed, so that in this ever competitive data world you can get a hold on the desired position.
This field of big data and analytics is not static, in the coming years, there will be a technology explosion, demanding change and flexibility from professionals. If your intent is to enter the field or sustain your position in the field, then upgrading your skill-set becomes essential.
No matter how analytically sound you are, and how great your knowledge is in advanced analytics, nothing can teach or replace the ability to think through a situation. The way big data functions now, is changing, and new technologies will replace the ones mentioned above. But if you are naturally inquisitive and motivated to dig deep, with rock-solid determination to find answers or solutions, then you will always be a desired candidate for corporations.

What is Full Stack Developer Role

Posted on February 15, 2019May 15, 2026 by Imarticus Learning

What is the Full Stack Developer Role

Full-stack development and full-stack developers are the buzzwords of job markets in 2022. These terms have altered people’s perceptions of web development and introduced a highly sought-after role in today’s product-driven environment. As a result, full-stack developers are in high demand. Moreover, their salaries are high because of their ability to create end-to-end web applications.

Let us initially look at a typical job advertisement and move into the role of a full-stack developer. How doing a full stack development course will help realise an aspirant’s dream job.

The job description of a full-stack developer

A full-stack developer job role interlinked with expectations, why they are recruiting, and the infrastructure present that the developer needs to work.
Ongoing project metrics, skills, responsibilities, and needs.
Expertise required in areas, and languages that primarily include CSS, HTML, PHP, Python, Javascript, and frameworks. In addition knowledge of version control, database skills, deployment skills, and web server languages are needed.

The role of the full-stack developer

A full-stack developer handles both front-end and back-end development. In addition, their collaborative and communicative skills make them very self-organised. All this makes them entrepreneurial, and excellent team members on cross-functional teams.

The full-stack developer must use various full-stack lateral designing abilities. It includes languages, frameworks, servers, and databases to develop the prototype design and unaided software coding faster.

Being good at both front-end and rear-end issues resolution reduces the technical team-communication costs and docking technology. It also decreases the time spent. Hence they add excellent business value to the organisation. Of course, that’s to develop the prototype design rapidly. That is why start-ups who cannot afford mistakes and large teams and organizations who are cross-functionally agile prefer them. In addition, they don’t mind paying substantial payouts.

The job responsibility of a full-stack developer

Collaborate with development teams and product managers to brainstorm software solutions.
Create client-side and server-side architecture.
Design an appealing visual for application front ends.
Make and manage functional databases and applications.
Build efficient APIs
Test the software to ensure responsiveness and efficiency.
Software troubleshooting, debugging, and upgrading.
Create mobile-responsive features and applications.
Create technical documentation
Collaborate with data scientists and analysts to improve the software.

The route to success of a full-stack developer

The best way to become a full-stack Python developer is to

Make a plan of action by listing all front-end languages you know and want to master.
Do a full stack development workshop from reputed training partners like Imarticus or others. These may be in the classroom, virtual online, or fast-tracked interactive courses.
Learn a web framework like Django and the best practices for queries.
Become proficient in data processing, servers, deployment of applications, and OSs.
Earn certification and use the Git hub to display your proficiency in practical applications.

So, it is clear that networking, collaboration, communication, and social skills are essential to becoming a full-stack developer. It also helps to bargain the best contracts. Finally, it’s a journey that involves lifelong learning, needs about four years of experience, pays well, has undying scope and demand, and helps you realise your aspirations.

In conclusion, in today’s competitive modern world, it is crucial to stay abreast and continuously update the skill-sets to include futuristic technology and tools. A full-stack pro course can be your route to better career prospects, continuous learning and practice, building new applications, interacting with peers, and helping others in the developer community.