使用Pylint的公司
It is a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.
使用Pylint的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"pylint\"
]
}"Technology
is any of
Pylint
员工数37Software DevelopmentPylint高置信度
员工数23Software DevelopmentPylint高置信度
员工数13kSoftware DevelopmentPylint高置信度
员工数6.1k收入$840MBusiness Consulting and ServicesPylint高置信度
员工数61Software DevelopmentPylint高置信度
员工数4Oil and GasPylint高置信度
员工数19k收入$9.4BIT Services and IT ConsultingPylint高置信度- 员工数470收入$8MIT Services and IT ConsultingPylint高置信度
员工数482Medical PracticesPylint高置信度
员工数5.1k收入$2.9BFinancial ServicesPylint高置信度
我们拥有关于519家公司和用户使用Pylint的数据。我们的Pylint用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Pylint 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Pylint is a static code analysis tool for Python that checks for errors in Python code and enforces a coding standard. It helps developers write clean, readable, and efficient Python code by identifying potential issues, such as syntax errors, code smells, and bugs. Pylint examines Python modules, packages, and scripts with customizable rules to provide feedback on coding style and helps maintain a high level of code quality.
Pylint falls under the category of Code Review tools, aimed at improving the overall quality of code written in Python. It ensures that developers adhere to best practices, coding conventions, and maintainability standards while working on Python projects. By analyzing the code statically, Pylint helps detect errors early in the development process, leading to cleaner code, reduced technical debt, and improved overall software quality.
Pylint was founded in 2003 by Sylvain Thénault with the primary motivation to enhance the Python coding experience by providing developers with a tool that can help maintain code quality and consistency. Over the years, Pylint has evolved into a widely-used static code analysis tool within the Python community, gaining popularity for its ability to enforce coding standards and catch potential issues before runtime.
As of now, Pylint holds a significant market share within the Code Review tool category for Python development. With the increasing emphasis on code quality, automation, and efficiency in software development processes, it is expected that the demand for tools like Pylint will continue to grow in the future. As more developers and organizations prioritize clean and maintainable code, the market share of Pylint is forecasted to expand further as a vital component of modern Python development workflows.