We all know that technology has been rapidly evolving which has paved the way for innovations and fields that have made human life incredibly simpler. Standard software jobs have become a commonality, whereas the new programming fields involve changing technologies, sheer creativity, and unexpected results.

With the massive amount of automation being carried out after the pandemic, certain new technological fields have emerged like none before to reduce human intervention and increase the reliability of machines. Not only machines, but even the financial world has been under the support structure of programming as its backbone.

Let's cover a few unconventional fields that are extremely promising and have limitless possibilities in the future ♾

▶ Robotics Engineering –

Robotics is a branch of engineering that is used to develop machines that are capable of functioning and performing tasks better than humans. Robotics has a wide range of applications across diverse industries like healthcare, commerce, manufacturing, etc. This field is one of the fastest-growing nature because of the rapid advancement in the technological background.

Programming is an essential component of robotics. It is vital for developing a control mechanism for the machine to function and react accordingly to the nature of the environment. Mathematics goes hand in hand with programming to come up with such novel machines. Python and machine learning are often used in the main operating system for training and reaction purposes.

These robots receive simple or complicated instruction through computer programs to define a particular task. The main robotic control system is used to store certain guide points which outlay a path for the robot to follow and accomplish a complicated task accurately and effectively. The robotic software is indeed very complex and involves a multitude of programming languages that are essential to make the robot eligible for industry-level application and competent enough to produce a better impact than manpower in the long run. A few popular programming languages used in robotic software and integration are –

C++ -  This language exhibits object-oriented programming and in general simplified features which makes it an idle programming language for robotics. C++ supports real-time performance and low-level hardware which is a crucial factor as robotics is highly based on real-time performance. Thus, C++ is one of the most used languages for programming robots.

Python -  It is an extremely popular programming language because of its close affiliation with machine learning which is extensively used in robotics. Python with its pre-defined libraries and easy usage helps to automate, teach and process functionality. The time saved is used for quick testing and refining.

Java -  Java has the unique ability to run on any platform which makes it useful in some aspects of robotics. This language consists of a wide range of APIs that could be easily integrated with the robotic software to perform desirable actions. Moreover, the java code could easily run on any platform which makes it run on multiple sorts of machines without recompilation.

MATLAB - This programming language is essential for analyzing data as well as developing the main control systems. The control system is essential as programming involves designing the controller which further involves modeling and simulation to test the functionalities of the robot in a particular environment. In totality, MATLAB is used for modeling, generation of codes, and tuning of algorithms.

C# /.NET - Being Microsoft's proprietary language for developing applications using the robotics developer studio, the language is used in certain virtual reality engines as well and most importantly is used for the port-socket level of programming. The environment and integration of languages by C# are used for the creation of programs.

The programming languages mentioned are not limited and are extremely useful to develop an intelligent robot. Out of all the languages, C++ forms the main basis as it contains a greater number of tools and library functions that assist in robotic programming. At the same time, Python could also be mastered initially because of its massive range of libraries applied in robotic hardware systems.

▶ Quantitative Analyst in diverse firms -

The financial world has seen a new face since computer programs have intervened to make a large number of trading orders in just a fraction of a second. The fundamental behind this new field is to be able to curate complex algorithms which could be used to analyze trading options and the conditions of the market. Intricately, the role is extremely challenging and involves the designing of statistical models that could be implemented for stock trading options. Quant and programming go hand-in-hand with a knack for finance to master this field of quantitative analysis. Investment banking, High-Frequency trading, and hedge funds firms come under his category.

▶ Investment Banking - 

This segment of banking helps individuals or organizations to provide financial advisory and the ability to raise capital. Being extremely complex, this field provides various services like trading securities, restructuring financial assets, advisory for mergers and acquisitions, and many more. Quantitative aptitude is necessary in addition to coding for analyzing situations and raising huge amounts of capital for the firm.

▶ High-Frequency Trading -

 As explained above, complex algorithms are used by a trader to analyze markets and transact multiple orders in a fraction of a second. HFTs are unique because they assess the execution speed to make huge profits. The sole motive is to come up with the most optimized algorithms that could enable these traders at HFTs with fast execution speeds than other traders for bringing in more business and profits.

▶ Hedge Funds - 

These are based on financial partnerships that are fuel-driven by funds and use various strategies to earn a massive return for the investors. Hedge signifies that funds are focused on certain risk-taking by the simultaneous process of buying and shorting assets in a long-short equity strategy, volatility arbitrage, market neutral, and many more. Importantly, hedge funds cater to only accredited and high-net-worth investors.

The list could go on, but the above-mentioned roles and fields are the most lucrative and complex ones existing out there. Eventually, it is not the money that matters in these giants, but the ability and strategies devised to raise capital in short periods with higher risks matter more. Robotics is the future of operations and is capable to replace human efficiency because of the upcoming AI/ML industry. Whereas the financial world could never cease and would remain evergreen for the generations to come. The future awaits to witness the acceleration of these new fields with breakthroughs to impact the lives of people.

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