Top 5 Reasons To Learn Python Programming Language In 2020

top 5 Reasons To Learn Python Programming Language In 2020
top 5 Reasons To Learn Python Programming Language In 2020

Top 5 Reasons To Learn Python Programming Language In 2020 Here are my five reasons why python is worth learning. 5 reasons why python is worth learning 1. python is easy to learn. python is a perfect fit for a first programming language. if you are completely unfamiliar with python or only at the very beginning of your learning journey, don’t worry! the python programming language is very intuitive. Here are the 12 reasons why you should learn python: its versatility, extensive libraries, data science capabilities, artificial intelligence (ai), machine learning (ml), web development, scripting, automation, cross platform compatibility, open source nature, ease of learning, high demand in the job market, and competitive salaries. 1.

What Are The top 5 reasons For learning python programming Codex
What Are The top 5 reasons For learning python programming Codex

What Are The Top 5 Reasons For Learning Python Programming Codex 1. it’s very beginner friendly. unlike some other languages (i’m looking at you, c c ), python is a very beginner friendly language. all of the nitty gritty details which can be very intimidating for newcomers are hidden under its elegant hood. you don’t need to deal with pointers, memory allocation, and types. According to stack overflow, python is also the fastest growing programming language, and tiobe gave it the 2020 programming language of the year award as it gained popularity faster than any other language. part of this acclaim is due to python’s usefulness in the world of data science; as fields like machine learning, data modeling, and ai. Furthermore, nested code can be difficult to read because python uses spaces instead of brackets or other scope identifiers (such as we do in c and java). 4. global interpreter lock (gil) and threading limitations. cpython, python’s most popular implementation, uses a global interpreter lock (gil). This makes python run faster, putting it on par with languages known for their speed. python’s high performance strength shines, especially in tasks involving lots of number crunching. libraries like numpy and pandas, written in efficient languages like c or fortran, ensure python handles heavy duty math operations. 4.

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