More Scope

1. More Scope

Did you know? Today Netflix, Google, Facebook, Amazon, and many more big tech giants are using python for the past few years. The sole reason behind this adaptability is its capability to scale and fit in AI, ML, Data Science, etc. and this has strengthened their inner system to scale their businesses. This has appropriately set a benchmark in terms of salary growth and better career opportunities. If you’ll see the figures, it has surpassed R, C/C++, PHP, C#, JavaScript, and Java today throughout the world and so does the doors opening for this language, and will continue to be at its peak in the upcoming future. You may also find that the average salary bracket of a Python software developer is somewhere around 4.2 LPA to 10 LPA. Not only this, this figure is rapidly changing and will continue to rise more in the coming future....

2. Easy to Integrate

You should not be surprised to see this among those reasons why you should learn python in 2022 this feature is lovable by everyone who has experience working in it. Python is also called a Glue language due to its adaptability to integrate with other languages. It runs on multiple platforms like Windows, Linux, and macOS and can work seamlessly for any project whether it could be gaming or data visualization, python will get it right....

3. Vast Community Support

Since you’re looking out for a solid reason for learning python, how can it be possible without strong support? Well, you got this here too, python offers vast community support for its developers around the globe and users get quick responses in no time when stuck. As the demand rises, the number of active users is increasing tremendously every day, and to keep a smooth flow, a strong community was required which python provides. Today giants like Google, Microsoft, and Amazon are actively contributing to TensorFlow, PyTorch, etc....

4. Collection of Libraries and Frameworks

Over the period, the more python started gaining popularity, the more updates and changes have been made and implemented every year. When it comes to libraries, we don’t think anyone can beat this up, wonder why? Well, this might surprise you but the overall count of the python libraries has about 2,80,000+ and it’s increasing every single day. Do you know what that means? You can create almost anything here with fewer efforts be its data visualization, or development tasks, it’s all there in python....

5. Quick Learning

When you’re going to learn any programming language, this might be the pillar that will decide your career pathway. We’ve talked about python and its feature but the fact is, it is popular primarily because of its easy structure which even takes care of your small mistakes and let you focus on the main logic. Python is being considered one of the most vocab languages like English, of all time and when it comes to new learners, it helps them by backing up with vast libraries, frameworks, community support, and whatnot....

6.  AI, BigData, and Data Science Friendly

Despite the fact that Python is one of the highly used programming languages, it is also suitable for using its application among these technologies i.e. artificial intelligence, big data, and data science. The journey began when noticeable libraries like NumPy, Pandas, and SymPy were introduced because these are the best tools and the first choice for fetching numeric information & calculations and being active in use by data scientists around the world. By now, you might be aware of the fact that python is an expert in handling a huge collection of raw data, and to manage that it also has certain libraries like Pyspark, Dask, etc that help data scientists to process big data....

7. Interactive Jupyter Notebook & Pandas

Jupyter was introduced by IPython which is an interactive command-line terminal of python which allows a developer to connect with other data scientists using a web browser. In case you don’t know, working on a command line is not that easy task so Jupyter offers a simple yet powerful interface to Python Language and is being extensively used to present data science projects by allowing to integrate of code and generating output in a single document along with the data visualization....