PyCharm is mainly used by our team for Python development. We engage in tasks such as converting Perl to Python or developing Python software from scratch. Although a couple of people use PyCharm, most of us prefer using Visual Studio for our development work. PyCharm is not integrated with other systems. Developers create Python scripts using PyCharm and then use tools such as Grafana to integrate those scripts into dashboards, working independently with them.
I have used PyCharm ( /products/pycharm-reviews ) to write quantitative libraries, data manipulation tools, Django back-end applications, and microservices.
I switch between using Visual Studio and PyCharm depending on the task at hand. In Visual Studio, I work on Q, while in PyCharm, I handle Python-related tasks.
Technical lead at a computer software company with 51-200 employees
Real User
Top 10
2024-01-31T03:58:58Z
Jan 31, 2024
I use it for software development. I use it for Python development. I use it for a variety of things. I've worked with Jango, Flask, and even AWS deployments. It's pretty versatile when it comes to frameworks.
Senior Project Manager at a computer software company with 1,001-5,000 employees
Real User
2023-01-20T11:28:09Z
Jan 20, 2023
We are using PyCharm as our IDE and user interface for Python code development. Along with PyCharm, we also use other software including Coverity and Pylint, and some of my colleagues are also using QAC.
My primary use case is for optimization of algorithms and machine learning, as well as for writing Python codes. We are customers of PyCharm and I'm a data scientist and machine learning engineer.
Static Code Analysis involves examining source code to detect bugs and vulnerabilities without executing the program, enhancing security and reliability. It helps developers catch errors early in the development cycle, ensuring high-quality software delivery.Static Code Analysis solutions provide automated tools that scan codebases for possible errors, ensure adherence to coding standards, and identify security vulnerabilities. These tools typically integrate seamlessly into development...
PyCharm is mainly used by our team for Python development. We engage in tasks such as converting Perl to Python or developing Python software from scratch. Although a couple of people use PyCharm, most of us prefer using Visual Studio for our development work. PyCharm is not integrated with other systems. Developers create Python scripts using PyCharm and then use tools such as Grafana to integrate those scripts into dashboards, working independently with them.
My use case for PyCharm code usually involves rapid prototyping, especially related to GenAI.
I have used PyCharm ( /products/pycharm-reviews ) to write quantitative libraries, data manipulation tools, Django back-end applications, and microservices.
I use PyCharm as my main IDE for Python coding.
I use the solution to run, test, and debug codes.
I switch between using Visual Studio and PyCharm depending on the task at hand. In Visual Studio, I work on Q, while in PyCharm, I handle Python-related tasks.
I use it for software development. I use it for Python development. I use it for a variety of things. I've worked with Jango, Flask, and even AWS deployments. It's pretty versatile when it comes to frameworks.
We use the product primarily for data processing.
We are using PyCharm as our IDE and user interface for Python code development. Along with PyCharm, we also use other software including Coverity and Pylint, and some of my colleagues are also using QAC.
Our company uses the solution for software projects with robotic operating systems. Software that we build is very complex in usage.
It is for writing Python code.
My primary use case is for optimization of algorithms and machine learning, as well as for writing Python codes. We are customers of PyCharm and I'm a data scientist and machine learning engineer.