12 reasons why you should learn Python in 2019

NumPy | Python Methods and Functions

Below are core Python functions and applications that are encouraging more and more people to learn Python and get certified.

1. Data Science: Python is the programming language of choice for most data scientists. Whether it`s IT, software development, or marketing, nowadays every job uses and depends on data to manage its work. With the release of " and "Pandas" Python has taken a prominent place in the data world. Python also processes statistical, tabular, and matrix data, and visualizes it using libraries such as Matplotlib and Seaborn.
What`s more, in the field of
data science Python jobs outnumber everyone else. This indicates that the skills you learn with Python will directly translate into developing your analytical skills.

2. Easy to learn: Python — it is an easy-to-learn language. This is mainly due to its similarity to the English language. There are very few rules and special cases in Python syntax. It`s safe to say that Python focuses on what you want to do with your code, not language complexity. Anyone can learn Python easily. With practice, beginners can build a simple game in a few days using python. Another attractive aspect of this programming language is its efficiency and readability.

3. Cross-platform and open source. It has been over 20 years since this language has been used cross-platform and open source. Whether it`s Linux, Windows , or MacOS , Python code runs on any platform. Another great feature of Python — it is that it is backed by decades of bug fixes and kink straightening to ensure that its code works as intended whenever the user runs it.

4. A universal language and platform. Python remains very relevant today, as it can be used in any scenario of operations or in software development, whether it is managing on-premises and cloud infrastructure, working with a SQL database, developing a custom function for Hive & amp; Pig, support for object oriented design, or even develop a small tool for the user.

5. Extensive Libraries: Python is supported by PyPI, which has over 85,000 Python scripts and modules available to the user. These modules provide out-of-the-box functionality available to users in their local Python environment. It can solve a variety of problems such as performing advanced data analysis such as developing REStful web services or sentiment analysis and computer vision creation.

6. Flexibility: Python has several powerful applications integrated with other programming languages. Details on this are given below:

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