Saturday, March 6, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Programming languages: Python developers reveal what they use it for and their top tools

May 6, 2020
in Machine Learning
Programming languages: Python developers reveal what they use it for and their top tools
590
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Data science is often cited as one of the main reasons for Python’s growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using Python actually identify their role as data scientist in the Python Software Foundation’s (PSF) new 2019 developer survey, which was carried about by IDE-maker JetBrains. 

Salary growth for data scientists has cooled over the past two years, which could be why only a third respondents to PSF’s annual developer survey who are involved in data analysis and machine learning say they are a data scientist. 

You might also like

Facebook enhances AI computer vision with SEER

Hands-on Guide to Interpret Machine Learning with SHAP –

Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry

The survey is based on responses from 24,000 Python developers from 150 countries. 

In PSF’s 2017 report, it reported that most people thought Python was primarily used for web development. But it contended that “while this was true a couple of years ago, today the number of Python data scientists is growing rapidly and is already on par with the number of web developers”.

Back then, PSF argued that anyone whose primary job involved data analysis or machine learning was counted as a data scientist, without asking participants to state whether they consider themselves a data scientist – which Harvard Business Review in 2012 crowned the “sexiest job of the 21st century”. 

PSF hasn’t asked whether people consider themselves a data scientist in its past two annual developer surveys. In 2018, people who said they were a data scientist were among the 12% in the ‘Other’ category, while the vast majority of respondents simply identified themselves as developers.   

For the 2018 report, 59% of respondents stated they used Python for data analysis, followed by 52% who said they used it for web development.

The order hasn’t changed this year, with data analysis remaining Python’s top purpose at 59%, followed by web development at 51%, and machine learning at 40%.  

Other major applications of Python include DevOps and system administration (39%), programming web tools like crawlers (37%), software testing (31%), education (26%), software prototyping (25%), network programming (21%), desktop development (18%), computer graphics (14%), embedded system development (8%), game development (7%) and mobile development (6%).

However, at 28%, web development remains the top purpose when respondents were asked what they used Python for the most. It is followed by data analysis (18%), machine learning (13%), and DevOps, and system administration (9%). 

Good news given that the final version of Python 2 was just released, the survey found that 90% are using Python 3, up from 84% in 2018. Of those still on Python 2, 45% are using it for web development, and 41% are using it for DevOps and system administration. PSF speculates that web development’s dominance in Python 2 is because of legacy code. 

Which cloud platform do Python developers prefer most? Not surprisingly, Amazon Web Services dominates with a share of 55%, followed by Google Cloud Platform with a 33% share. 

A further 22% of Python developers use DigitalOcean, and 20% use Heroku. Microsoft Azure comes in at fifth place with a 19% share while 12% use PythonAnywhere. 

Microsoft clearly has room to grow and, according to PSF, it did grow four percentage points over the past year. Microsoft has also been providing free tutorials for budding Python developers and encouraging them to use Azure. Meanwhile, Google Cloud Platform grew two percentage points. Digital Ocean and Heroku have lost share.     

The top three sources for Python installation and upgrades are the operating system, followed by python.org, and Anaconda. Some 68% of Python developers are building on Linux, followed by Windows at 48%, while macOS has a 29% share.  

The top web frameworks for Python are Flask and Django, while the leading data-science frameworks and libraries are NumPy, Pandas, Matplotlib, SciPy, SciKit-learn, TensorFlow, Keras, Seaborn, and Facebook’s PyTorch, and NLTK.  

The PyCharm integrated development environment (IDE) from JetBrains is once again the top IDE with a 33% share, followed by Microsoft’s open-source cross-platform editor VS Code with a 24% share. 

Python adoption is often attributed to its moderate learning curve. The survey found that 44% of users have just two years’ experience and 30% had three to five years’ experience. 

Data analysis remains Python’s top purpose, cited by 59% of respondents, followed by web development at 51%, and machine learning at 40%.


Image: Python Software Foundation/JetBrains

More on Python and programming languages

  • Microsoft: Our new free Python programming language courses are for novice AI developers  
  • Goodbye Python 2 programming language: This is the final Python 2.7 release  
  • PyCharm: Here’s what Python programming language developers get in new IDE update  
  • New programming language rankings: Python now as popular as Java, as TypeScript climbs  
  • Programming languages: Java developers flock to Kotlin and ditch Oracle JDK for OpenJDK  
  • Programming language popularity: Apple’s Objective-C tumbles down the rankings  
  • Programming languages: Go and Python are what developers most want to learn  
  • Know Python language and up for a ‘hardcore’ coding test? Get in touch, says Tesla  
  • Java or C++, Full stack or Front end: The programming languages and developer jobs that pay you the most  
  • Google reveals new Python programming language course: Scholarships for 2,500  
  • Microsoft boosts programming language Python’s popular VS Code extension  
  • Programming language of 2019? Python beaten by trusty old C  
  • Programming language Python’s popular extension for Visual Studio Code revamped  
  • Programming language Python 2.7 code is now frozen: Last release coming in April  
  • Netflix: Our Metaflow Python library for faster data science is now open source  
  • Tech jobs: Python programming language and AWS skills demand has exploded  
  • Python programming language creator retires, saying: ‘It’s been an amazing ride’
  • Programming languages: How Instagram’s taming a multimillion-line Python monster
  • Salesforce: Why we ditched Python for Google’s Go language in Einstein Analytics  
  • Microsoft: We want you to learn Python programming language for free
  • JPMorgan’s Athena has 35 million lines of Python code, and won’t be updated to Python 3 in time TechRepublic
  • Mozilla’s radical open-source move helped rewrite rules of tech CNET
  • Credit: Google News

    Previous Post

    Logistics giant Toll Group hit by ransomware for the second time in three months

    Next Post

    TIXnGO launches blockchain-based health certificates aiming to help ease lockdowns

    Related Posts

    Facebook enhances AI computer vision with SEER
    Machine Learning

    Facebook enhances AI computer vision with SEER

    March 6, 2021
    Hands-on Guide to Interpret Machine Learning with SHAP –
    Machine Learning

    Hands-on Guide to Interpret Machine Learning with SHAP –

    March 6, 2021
    Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry
    Machine Learning

    Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry

    March 6, 2021
    Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit
    Machine Learning

    Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit

    March 6, 2021
    Machine learning the news for better macroeconomic forecasting
    Machine Learning

    Reducing Blind Spots in Cybersecurity: 3 Ways Machine Learning Can Help

    March 6, 2021
    Next Post
    TIXnGO launches blockchain-based health certificates aiming to help ease lockdowns

    TIXnGO launches blockchain-based health certificates aiming to help ease lockdowns

    Leave a Reply Cancel reply

    Your email address will not be published. Required fields are marked *

    Recommended

    Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

    Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

    January 6, 2019
    Microsoft, Google Use Artificial Intelligence to Fight Hackers

    Microsoft, Google Use Artificial Intelligence to Fight Hackers

    January 6, 2019

    Categories

    • Artificial Intelligence
    • Big Data
    • Blockchain
    • Crypto News
    • Data Science
    • Digital Marketing
    • Internet Privacy
    • Internet Security
    • Learn to Code
    • Machine Learning
    • Marketing Technology
    • Neural Networks
    • Technology Companies

    Don't miss it

    Cyberattack shuts down online learning at 15 UK schools
    Internet Security

    Cyberattack shuts down online learning at 15 UK schools

    March 6, 2021
    Facebook enhances AI computer vision with SEER
    Machine Learning

    Facebook enhances AI computer vision with SEER

    March 6, 2021
    Microsoft Exchange zero-day vulnerabilities exploited in attacks against US local governments
    Internet Security

    Microsoft Exchange zero-day vulnerabilities exploited in attacks against US local governments

    March 6, 2021
    Hands-on Guide to Interpret Machine Learning with SHAP –
    Machine Learning

    Hands-on Guide to Interpret Machine Learning with SHAP –

    March 6, 2021
    $100 in crypto for a kilo of gold: Scammer pleads guilty to investor fraud
    Internet Security

    $100 in crypto for a kilo of gold: Scammer pleads guilty to investor fraud

    March 6, 2021
    Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry
    Machine Learning

    Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry

    March 6, 2021
    NikolaNews

    NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

    What’s New Here?

    • Cyberattack shuts down online learning at 15 UK schools March 6, 2021
    • Facebook enhances AI computer vision with SEER March 6, 2021
    • Microsoft Exchange zero-day vulnerabilities exploited in attacks against US local governments March 6, 2021
    • Hands-on Guide to Interpret Machine Learning with SHAP – March 6, 2021

    Subscribe to get more!

    © 2019 NikolaNews.com - Global Tech Updates

    No Result
    View All Result
    • AI Development
      • Artificial Intelligence
      • Machine Learning
      • Neural Networks
      • Learn to Code
    • Data
      • Blockchain
      • Big Data
      • Data Science
    • IT Security
      • Internet Privacy
      • Internet Security
    • Marketing
      • Digital Marketing
      • Marketing Technology
    • Technology Companies
    • Crypto News

    © 2019 NikolaNews.com - Global Tech Updates