Top Python Development Trends in 2022
Python Programming which is currently a trending programming language in the era of information technology, This general purpose programming language is not a newly developed programming instead it has been developed in the year 1991 by Guido Van Rossum.
The main benefit of Python programming than other programming languages is it supports multiple programming paradigms which includes object oriented, procedural and functional programming language.
Python programming language is also has been listed down in the Top Trending Technologies 2020 listed and also been ranked as the most used programming language last year. This article explains about the Python development trend in 2020 which will give you a clear idea of enhancing your career from learning Python.
Python Development Trends List 2020:
Python in Artificial Intelligence:
Artificial Intelligence is currently the hottest technology in the field of information technology, the main focus of artificial intelligence is to build human intelligence on machines using machine learning algorithms and problem solving techniques.
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Python plays a major in Artificial Intelligence, Python is also considered as the best programming language for artificial intelligence.
Top 8 Reasons Why Python is best for Artificial Intelligence:
- Rich Library Ecosystem by Python plays a major role
- Entry barrier is very low in Python
- Python shares flexibility
- Python is very easy to read and offers a wide variety of visualization for data scientist
- Large popularity and community assistance
- PyBrain&PyML – Effective algorithms for Machine Learning
- Dynamic feature of Python reduces the complexity
- Over 140,000 custom built Python software packages
Python in Machine Learning:
Machine Learning is the modern technology which uses algorithms to solve the real world problems, Machine Learning currently plays a major role in different fields like Ecommerce, Data Science, Clinical Decision, Artificial Intelligence and more.
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Machine Learning is also considered as the branch of Artificial Intelligence which automates the analytical model building, when it comes to programming language for Machine Learning Python is considered as the best and most commonly used.
The main benefit of using Python in Machine Learning is it easy to use.!
Forbes latest report states that Machine Learning patents grew at a 34% rate in the year 2013 to 2019 and also Google trends shows the spike in interest towards Python for Machine Learning is increased when compared to other programming languages such as Java, R, Scala and more.
Top 6 Python Development IDEs for Machine Learning:
Python programming development is been consider as the leader for Machine Learning, current report says over 57% of the data scientist and machine learning developers around the world using Python. Below are the top 6 Python development IDEs for Machine Learning developers,
- Atom
- PyCharm
- Spyder
- Sublime Text 3
- Visual Studio
- Visual Studio Code
Python in Data Science:
Data Science is one of the most commonly used buff word in that last few years and also considered as one of the popular career course as well. The term Data Science is first appeared in the year 1994 during the International Federation of Classification Societies in Japan.
Data Scientist play an important role in an organization, He/she should solve the complex problems using his Data Analysis. There are plenty of tools and technologies that can be used to break down the data to get a useful insight in that Python is a most common tech tools including PyTorch, Hadoop and also Apache Spark.
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Data Science provides much project to the companies and considered as a boom to both IT and business in the current era.
Python Data Science Handbook by Jake VanderPlas states that Python is a first class tool for researchers and Data Scientist. Top information technology websites like Analytics India, Forbes and Analytics Insight shares Python as the best option for Data Science.
Top 5 Reasons To Use Python Development in Data Science:
- Simplicity and Easy to Learn – Shorter Learning Curve which makes everything easier.
- Extensively suits for Data Analysis, Statistical Analysis, Web Development & Text Processing
- Effective and Rich Python Libraries – NumPy, Pandas, SciPy and more
- Amazing Multi Paradigm approach –Functional, Procedural, Object oriented and aspect oriented programming
- Jupyter Notebook tools is an important advantage for both Data Scientist and ML Developers.
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