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What Are the Top 5 Reasons for Learning Python?

Programming languages are in the IT industry for ages, and it is evolving rapidly. At least one new programming language takes the industry by storm in a decade. When it comes to the most popular programming languages, Python naturally finds its way. It is one of the widely used and in-demand programming languages. In a recent stack overflow survey, Python has clearly taken the lead over other programming languages such as C++, C, Java. This is one reason why python online training in USA is getting more demand, and more people are enrolling. If you want to explore your career in this path and need additional reasons to know why it is crucial, we provide the top five reasons. 

1. Popular and high salary

In the current IT industry, Python Engineers are the ones who are getting fat salaries at the end of every month. The average salary of a Python developer is approximately $116,028 per annum. The good news is the trend is showing a continuous spike in demand, and it is expected to gain the top spots in the coming years. This demand for Python developers is more since it is used by almost every business in one or another way. So, it is the right time for you to complete a python online course certification and give a head start for your career. 

2. Great for artificial Intelligence

Artificial Intelligence is getting popular more and more these days. The organizations implemented AI technology, making their day to day operation smooth, accurate, and with less cost. The experts are predicting the extensive usage of AI in every field. With AI technology, one can mimic the activities of humans by thinking like humans. It independently thinks, processes the information, analyzes, and makes decisions. With Python’s libraries such as TensorFlow and Keras, the machine learning process becomes easy. It provides the ability to learn things without the need for explicit programming. 

3. Big Data field

The data is everything. If the data is analyzed with the right method, it provides useful information. Big data is the new sensation in the Business Intelligence field, and every company is implementing Big Data techniques and getting numerous benefits. Every business is producing numerous data, and it can be both structured and unstructured data. Analyzing and gaining insights from this much data is not possible with the traditional approach. Hence, the need for Big Data arises immensely, and all the companies have understood this nowadays. Using Python for Big Data makes life easier for developers. 

4. Scripting and automation

Robotics and Process Automation is one thing that makes the life of every business more comfortable. It learns every step humans do and executes the same in lesser time with accuracy. If the step remains the same, it performs the job in very minimum time with more precision without errors. Everyone knows that Python is a programming language, but it is also used as a scripting language. The codes are written in the form of scripts in Python, and the machine interprets and reads the code, and it performs error checking in runtime. The programs written using Python can be re-used multiple times. You can automate many tasks using Python language. The scope for automation keeps increasing, and you can encash this huge demand by enrolling in the best python online training course

5. Extensive usage in Data science

Data is the new fuel for every business. If one pays enough attention to their every data, one can get all the business information. Because of this reason, data science is getting more attention these days. The selection of the right programming language makes your data analysis job more comfortable, and without a doubt, Python is one such language used widely by many data scientists. Many people used MATLAB for years, but once the Python numerical engines such as Pandas and NumPy introduced, everyone shifted to Python. The numerous advantages make data analysis comfortable. The developers can write complex programs with easy to understand codes, which makes the debugging process easy. The fewer code lines and easy to understand way of coding allow the developers to find out the exact code causing the problem. 

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