Introduction
In today's blog, we'll dive into the 2017 Stack Overflow Developer Survey, a treasure trove of insights about developers worldwide. We'll analyze five key aspects:
The most popular programming languages.
Distribution of Programming Hobbies
Average developers salaries across countries.
Relationship between hobbies and salaries.
Average developers salaries by country
This analysis highlights trends in the developer community and provides actionable insights for aspiring developers, hiring managers, and tech enthusiasts.
Key Questions
To guide our analysis, we addressed three important questions:
- Which programming languages are the most popular?
- How do developer salaries compare across different countries?
- How much average salaries of developer in different countries?
Methodology
- The analysis was performed using Python, leveraging the following steps:
- Data Loading: We loaded the survey data from the publicly available CSV file?. We used pandas to load the survey data from the CSV file.
- Data Cleaning: We removed missing values and focused on the relevant columns for our questions, Missing values were removed and relevant columns for our questions were filtered using pandas.
- Analysis: Insights were extracted by grouping and counting responses, calculating averages, and visualizing data?, calculating averages, and visualizing data, with the help of pandas?.
- Visualization: Bar charts were created to present the findings using matplotlib.
*Following CRISP?-?DM *
- Business Understanding
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Deployment
Findings
1. Most Popular Programming Languages
By analyzing the ProgramHobby column, we identified the top programming languages developers used in 2017.
Top 5 Languages:
SQL
JavaScript
Python
PHP
Java
This Menu shows that SQL remains the leader, reflecting its dominance in Programming Languages?.
2.Distribution of Programming Hobbies
Programming isn't just a profession for many developers?-?it's also a passion. The 2017 Stack Overflow Developer Survey revealed some fascinating insights about how developers engage with programming as a hobby:
Yes, I program as a hobby: The majority of respondents (over 6,000 developers) stated that programming is a hobby they enjoy outside of work.
Yes, both: A significant number of developers combine programming as a hobby with contributing to open source projects.
No: A smaller group of respondents indicated that they do not program as a hobby.
Yes, I contribute to open source projects: Some developers primarily focus on open source contributions, showcasing their commitment to community-driven initiatives.
Distribution of Programming HobbiesThe chart above demonstrates the distribution of responses, highlighting that a significant portion of developers are intrinsically motivated to code, even outside their professional commitments.
3. Developer Salaries Across Countries
We examined the Salary column to determine average salaries for developers globally.
Top 5 Countries by Average Salary (USD):
United States (including Virgin Islands and U.S. territories): $175,000
Bermuda: $150,000
Uganda: $120,000
Kuwait: $115,000
Anguilla: $100,000
Top 5 Countries by Average Salary?(USD)This data provides valuable insights for developers seeking opportunities in high-paying regions.
4.Relationship Between Hobbies and?Salaries
Does programming as a hobby or contributing to open source projects impact developer salaries? Based on the data from the 2017 Stack Overflow Developer Survey, we can uncover some interesting insights.
Snapshot of the?Data:
Key Observations:
United States: Developers who both program as a hobby and contribute to open source projects report the highest salaries, with an average of $130,000.
United Kingdom: Developers engaging in programming as both a hobby and open source contributions earn higher salaries than those who only program as a hobby.
5.Average Developer Salaries by?Country
In the picture?, We have Visualization about Average salaries for developers by country?.
Conclusion
The 2017 Stack Overflow Developer Survey provides an invaluable glimpse into the developer community. Whether you're exploring the most in-demand programming languages or considering where to work, these insights can help you make informed decisions.
If you're interested in the full analysis or the code used, check out the GitHub repository.
Call to?Action
Have thoughts about these findings? Share your comments below or contribute to the discussion on Github.
The above is the detailed content of tack Overflow Developer Survey Analysis. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undress AI Tool
Undress images for free
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
How to handle API authentication in Python
Jul 13, 2025 am 02:22 AM
The key to dealing with API authentication is to understand and use the authentication method correctly. 1. APIKey is the simplest authentication method, usually placed in the request header or URL parameters; 2. BasicAuth uses username and password for Base64 encoding transmission, which is suitable for internal systems; 3. OAuth2 needs to obtain the token first through client_id and client_secret, and then bring the BearerToken in the request header; 4. In order to deal with the token expiration, the token management class can be encapsulated and automatically refreshed the token; in short, selecting the appropriate method according to the document and safely storing the key information is the key.
Explain Python assertions.
Jul 07, 2025 am 12:14 AM
Assert is an assertion tool used in Python for debugging, and throws an AssertionError when the condition is not met. Its syntax is assert condition plus optional error information, which is suitable for internal logic verification such as parameter checking, status confirmation, etc., but cannot be used for security or user input checking, and should be used in conjunction with clear prompt information. It is only available for auxiliary debugging in the development stage rather than substituting exception handling.
What are python iterators?
Jul 08, 2025 am 02:56 AM
InPython,iteratorsareobjectsthatallowloopingthroughcollectionsbyimplementing__iter__()and__next__().1)Iteratorsworkviatheiteratorprotocol,using__iter__()toreturntheiteratorand__next__()toretrievethenextitemuntilStopIterationisraised.2)Aniterable(like
What are Python type hints?
Jul 07, 2025 am 02:55 AM
TypehintsinPythonsolvetheproblemofambiguityandpotentialbugsindynamicallytypedcodebyallowingdeveloperstospecifyexpectedtypes.Theyenhancereadability,enableearlybugdetection,andimprovetoolingsupport.Typehintsareaddedusingacolon(:)forvariablesandparamete
How to iterate over two lists at once Python
Jul 09, 2025 am 01:13 AM
A common method to traverse two lists simultaneously in Python is to use the zip() function, which will pair multiple lists in order and be the shortest; if the list length is inconsistent, you can use itertools.zip_longest() to be the longest and fill in the missing values; combined with enumerate(), you can get the index at the same time. 1.zip() is concise and practical, suitable for paired data iteration; 2.zip_longest() can fill in the default value when dealing with inconsistent lengths; 3.enumerate(zip()) can obtain indexes during traversal, meeting the needs of a variety of complex scenarios.
Python FastAPI tutorial
Jul 12, 2025 am 02:42 AM
To create modern and efficient APIs using Python, FastAPI is recommended; it is based on standard Python type prompts and can automatically generate documents, with excellent performance. After installing FastAPI and ASGI server uvicorn, you can write interface code. By defining routes, writing processing functions, and returning data, APIs can be quickly built. FastAPI supports a variety of HTTP methods and provides automatically generated SwaggerUI and ReDoc documentation systems. URL parameters can be captured through path definition, while query parameters can be implemented by setting default values ??for function parameters. The rational use of Pydantic models can help improve development efficiency and accuracy.
How to test an API with Python
Jul 12, 2025 am 02:47 AM
To test the API, you need to use Python's Requests library. The steps are to install the library, send requests, verify responses, set timeouts and retry. First, install the library through pipinstallrequests; then use requests.get() or requests.post() and other methods to send GET or POST requests; then check response.status_code and response.json() to ensure that the return result is in compliance with expectations; finally, add timeout parameters to set the timeout time, and combine the retrying library to achieve automatic retry to enhance stability.
Setting Up and Using Python Virtual Environments
Jul 06, 2025 am 02:56 AM
A virtual environment can isolate the dependencies of different projects. Created using Python's own venv module, the command is python-mvenvenv; activation method: Windows uses env\Scripts\activate, macOS/Linux uses sourceenv/bin/activate; installation package uses pipinstall, use pipfreeze>requirements.txt to generate requirements files, and use pipinstall-rrequirements.txt to restore the environment; precautions include not submitting to Git, reactivate each time the new terminal is opened, and automatic identification and switching can be used by IDE.
