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Python programming language's top uses, tools: Developers reveal their choices

ZDNet

Python has grown to become one of the top programming languages in the world, with more developers than ever now using it for data analysis, machine learning, DevOps, and web development. Data analysis and machine learning in particular have moved up in Python developers' priorities, according to the 2018 Python Developer survey. Today, 58 percent who use Python do so for data analysis, up from 50 percent last year, overtaking web development on 52 percent. The other rapidly rising uses for Python are machine learning and DevOps. When asked what they use Python for most, web development is the leading answer, given by 27 percent of respondents, and well ahead of the 17 percent who report data analysis as the most common use.


Python programming language: A cheat sheet

#artificialintelligence

With over 8.2 million developers using Python, the popularity of the Python programming language can't be denied. Since the first release in1990, Python has gained public support in academia and business, being used extensively in artificial intelligence and machine learning, serving as the underpinning of OpenStack, as well as powering the cloud file storage service Dropbox. This extensibility makes Python an excellent programming language for junior developers to get started with, but also one that remains applicable at scale, as Python is used extensively for real-world applications. This cheat sheet explores what Python is used for and how it compares to other programming languages, and provides resources for learning the language. SEE: All of TechRepublic's cheat sheets and smart person's guides Python is an interpreted programming language (also called a scripting language), created in 1990 by Dutch programmer Guido van Rossum, following his experience working on the education-focused ABC language at CWI. Python differs from other programming languages, as it prioritizes code readability and use of whitespace over compact, tiny source files.


Top Python Development Trends in 2020 - Credo Systemz

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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. 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.


Python for Data Science

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Python for Data Science, which covers all the basic concepts of Python Programming and Data Science. Python has been taking the programming world by storm over the past few years, and has quickly established itself as the language of choice for Data Science. Python has been taking the programming world by storm over the past few years, and has quickly established itself as the language of choice for Data Science. To help you learn this versatile language, Great Learning Academy brings to you a live session on Python for Data Science, which covers all the basic concepts of Python Programming and Data Science.


The Python Bible

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Free Coupon Discount - The Python Bible Everything You Need to Program in Python, Build 11 Projects and go from Beginner to Pro in Python with the World's Most Fun Project-Based Python Course! Created by Ziyad Yehia Internet of Things Academy Students also bought Careers in Data Science A-Z PySpark Essentials for Data Scientists (Big Data Python) MS Excel 2019 - Data Analysis With Pivot Tables and Charts Complete Course on Data Visualization, Matplotlib and Python Jupyter Notebook for Data Science LEARNING PATH: Python: Functional Programming with Python Preview this Udemy Course GET COUPON CODE Description Why you should take this Python course: It's Entertaining: No boring lectures, just me talking you through fun and useful tasks and making you laugh along the way. It's Memorable: You'll learn the "why" behind everything you do, so you remember the concepts and can use them on your own later. It's the Perfect Length: The course is just 9 hours long, so you'll actually be able to finish it and get your certificate. It Goes at the Perfect Pace: You will learn the Python fundamentals at a pace tailored to beginners.