johnoct/python-dev-survey-2018-summary.md

## python-dev-survey-2018-summary.md

      
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    Python Developers Survey 2018 Summary

Reference: https://www.jetbrains.com/research/python-developers-survey-2018/
Python Usage with Other Languages


JavaScript

What do you mainly use python for?


Data Analysis
Web Development
DevOps/SysAdmin/Automation Scrits

To what extent are you involved in the following activities?


Testing:      93% Professionally / 7 % Hobby
DevOps:       90% Professionally / 10 % Hobby
Web Dev:      87% Professionally / 13 % Hobby

What do you use Python for the most?


Web Development
Data Analysis
ML
DevOps

Python Installation and Upgrade


38% OS-provided Python (via apt-get, yum, homebrew, etc.)
33% Python.org
22% Anaconda
15% I use Docker containers
15% pyenv

Do you use any of the tools to isolate Python enviromnets if any?


64% Virtualenv / pipenv
31% Docker
22% Conda
9% Vagrant
3% Other
21% None

Web Frameworks


47% Flask
45% Django

Data Sci


62% Numpy
51% Pandas
46% Matplotlib

General Frameworks and Libraries


53% REquests
29% Pillow
19% Scrapy
18% Asyncio
18% Tkinter
16% PyQT

Top CLoud Platforms


36% AWS
29% Google App Engine
26% Heroku
23% Digital Ocean

How do your un code in the cloud (in the production environment)?


47% In Virtual Machines
40% Within Containers
28% On a Platform-as-a-Service
21% Serverless

How do you develop for the cloud?


56% Locally with virtualenv (or similar)
35% In Docker containers
24% In virtual machines
17% With local system interpreter
17% In remote development environments
9% Directly in the production environment

Operating Systems


69% Linux
47% Windows
32% MacOS

Testing Frameworks


46% pytest
32% unittest
15% mock

Databases


44% PostgreSQL
41% MySQL
41% SQLite
20% MongoDB
19% Redis
11% MS SQL Server
8% Oracle DB
3% Amazon Redshift
3% Cassandra
1% DB2
1% Couchbase

ORMs


34% SQLAlchemy
33% Django ORM
4% SQLObject

Which of the following Big Data tool(s) do you use if any?


12% Apache SPark
76% None

Which CI do you regularly use?


25% Jenkins/Hudson
18% Gitlab CI
18% Travis CI
7% Circl CI
46% None

Configuration Management


20% Ansible
9% Custom Solution
6% Puppet
4% Salt
4% Chef
65% None

Editors and IDEs


20% PyCharm Professional Edition
16% VSCode
15% PyCharm Community Edition

Tools and Features for Python Development

We’ve identified the relative popularity of the tools and features used to develop in Python: version control, code autocompletion, code refactorings, writing unit tests, and using virtual environments for Python projects all occupy the top spots.
Employment Status


62% Fully Employed by a company/organization
19% Student
6% Freelancer

Job Roles


73% Developer/programmer
19% Architect
19% Data analyst

Working on Projects


42% Yes, I work on many different projects

Working in a Team vs Working Independently


48% Work in a team
48% Work on your own projects individually
4% work as an external consultant or trainer

Team Size

-74% (2-7 ppl)
....
Key Takeaways


Python 3 adoption rate is growing fast and is already at 84%, while Python 2 is used as the main interpreter by only 16% of Python users. That’s a huge jump in popularity for Python 3, from 75% in 2017.


Data analysis has become more popular than web development among Python users, growing from 50% in 2017 to 58% in 2018.


Half of all developers using Python as their main language also use JavaScript. Python is also frequently used together with HTML/CSS, Bash/Shell, SQL, C/C++, and Java.


Flask and Django are the most popular frameworks among web developers. Having equal shares (around 45% each), they leave other Python web frameworks far behind.


NumPy, Pandas, Matplotlib, and SciPy are the most popular data science frameworks and libraries. Machine learning-specific libraries such as SciKit-Learn, TensorFlow, Keras, and others are also quite popular.


AWS is the most popular cloud platform for Python developers, followed by Google Cloud Platform, Heroku, DigitalOcean, and Microsoft Azure.


In 2018, we had significantly more respondents who are involved in DevOps (an increase of 8 percentage points compared to 2017). In terms of Python users using Python as their secondary language, DevOps has overtaken web development.


PyCharm with its two editions is the most popular tool for Python development. Interestingly enough, VS Code has expanded from 7% in 2017 to 16% in 2018, making it the second most popular editor for Python development. Other popular editors for Python include Vim, Sublime, and Jupyter Notebook.


Surprisingly, almost two-thirds of Python developers choose Linux as their development environment OS.