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      • Workik AI provides broad Python code assistance, which includes: 1. Code Generation: Produces Python code snippets and templates for quick development. 2. Debugging: Identifies and fixes Python code issues with intelligent suggestions.
  1. Set up your Python debugging context with GitHub, GitLab, Bitbucket integration or manually add context such as Django, Flask, Pandas, RESTful APIs, pytest, coding standards, & more for precise support. Workik AI evaluates your Python code, identifying errors and suggesting performance optimizations specific to your project.

  2. 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.

  3. Jan 2, 2019 · After activating the environment with the command activate my_env, I can use the packages in the environment with usual python command as python main.py. But while debugging, I can't use the packages which are only installed in my_env.

  4. 2 days ago · The module pdb defines an interactive source code debugger for Python programs. It supports setting (conditional) breakpoints and single stepping at the source line level, inspection of stack frames, source code listing, and evaluation of arbitrary Python code in the context of any stack frame.

  5. Aug 12, 2023 · Discover the significance of debugging in Python. Learn how debugging aids in identifying and rectifying issues, bolstering code quality, and ensuring software reliability.

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  7. Jun 22, 2020 · Python also allows developers to debug the programs using pdb module that comes with standard Python by default. We just need to import pdb module in the Python script. Using pdb module, we can set breakpoints in the program to check the current status. We can Change the flow of execution by using jump, continue statements .

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