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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. 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.

  3. Beyond standard code review, Workik AI offers advanced debugging and optimization capabilities. It can suggest performance improvements, identify bottlenecks, and offer solutions for memory optimization, making it a valuable tool for refining and enhancing code performance.

  4. Feb 8, 2011 · Yes! There's a Python debugger called pdb just for doing that! You can launch a Python program through pdb via python -m pdb myscript.py. There are a few commands you can then issue, which are documented on the pdb page. Some useful ones to remember are: b: set a breakpoint. c: continue debugging until you hit a breakpoint. s: step through the code

    • PyCharm. PyCharm is an Integrated Development Environment specifically for the development of applications in Python and Java. Its functionalities include analysis of the code, a graphical debugger, etc.
    • IDLE. IDLE (Integrated Development and Learning Environment) is a dedicated platform or software to develop Python applications. It is a full-fledged editor that is used to create, modify, and execute python code.
    • Visual Studio Code. Visual Studio Code referred to as VS Code is a lightweight source code editor used to develop projects in various programming languages such as Python, HTML, C, C#, JavaScript, etc.
    • Atom. Atom is a modern, approachable, free-featured text editor. It is based on the electron framework that is, it is built using HTML, CSS, and JavaScript.
  5. Mar 6, 2024 · To debug Python systems effectively, you need to use a combination of tools and methods. For instance, powerful and interactive debuggers like pdb or ipdb allow you to inspect and modify...

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  7. Jun 15, 2024 · 1. Python is Simple to Learn and Use. 2. Perfect for Rapid Deployment. 3. Python has High-Performance. 4. Strong Support for Data Analysis and Scientific Computing. 5. User-Friendly Built-in Data Types. 6. Python Needs Less Coding. 7. Python Has OS Portability. 8. Python is Flexible in Deployment. 9. Support from Renowned Corporate Sponsors. 10.

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