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  1. For example, if you’re working on a Python Flask project with a PostgreSQL database and RESTful API integrations, you can set this specific context. Workik then tailors its debugging to optimize Python scripts, ensure Flask route efficiency, and validate database queries against your PostgreSQL schema.

  2. Python code debugging is the process of identifying and resolving errors or bugs in Python code. Debugging involves identifying and fixing errors, analyzing performance, and ensuring code reliability to understand why it is not working as expected and making corrections to ensure it performs correctly.

  3. Yes, Workik's AI supports all programming languages and frameworks, including Python, JavaScript (React, Node.js), Java, C#, Ruby, PHP, Go, Rust, and more. This extensive support facilitates a wide variety of development activities, such as web development, mobile app development, game development with Unity, desktop application creation, and cloud computing projects.

  4. Jan 30, 2019 · PyCharm Tutorial - Debug python code using PyCharm (the debugging starts at 6:34) Note: PyCharm is a commercial product, but the company does provide a free license to students and teachers, as well as a "lightweight" Community version that is free and open-source.

  5. Jan 24, 2024 · IDE with Remote Debugging Support: Popular integrated development environments (IDEs) like PyCharm, Visual Studio Code, and others provide built-in support for remote debugging. pdb or pydevd Library: Python's built-in pdb module can be used for basic debugging.

  6. Nov 4, 2022 · This statement loads your source code and stops execution on the first line of code. Example 3: Navigating in pdb prompt. We can navigate in pdb prompt using n (next), u (up), d (down). To debug and navigate all throughout the Python code, we can navigate using the mentioned commands.

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  8. Out of the box, PyCharm supports Python development directly. You can just open a new file and start writing code. You can run and debug Python directly inside PyCharm, and it has support for source control and projects. Pros: It’s the de facto Python IDE environment, with tons of support and a supportive community. It edits, runs, and debugs ...

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