Error tracking and logging from Python to Rollbar

Python provider for Raygun

Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.

A small utility to pretty-print Python tracebacks. ⛺

Minimalist Error collection Service compatible with Rollbar clients. Sentry or Rollbar alternative.

RFC-7807 compliant problem detail error response handler for FastAPI applications

Python client for Periskop

`loggingpython` is a Python package which provides a simple and extensible way to integrate logging into your applications. The package starts with a basic logger and can be extended with additional functions to meet the requirements of your application.

Rust-like error handling in Python, with type-safety in mind.

A game called Multi Client Hand Cricket game is built using socket programming. It’s a two-player game where two players show scores on their respective fingers.

This script leverages OpenAI's ChatGPT to provide assistance in fixing or suggesting solutions for errors in a Python file. It supports two modes of operation: processing the Python code directly or analyzing the output of a Python file via pipe. By interacting with ChatGPT, the script generates suggestions or explanations tailored to the provided.

🎓 Investigation of various error recovery strategies during parsing. Their implementation in their own various parsers, demonstration of work on a variety of tests.

A python tool for automatically catching compiler runtime errors, parsing errors through popular discussion forums (eg. stackoverflow) and getting solutions on the terminal

🔨 Fix error patterns in National Instruments data collection software

Scrapy integration with latest Sentry SDK

Tool for parsing and storing errors out of manufacturing tools

The scripts through which I learnt Python 3 programming concepts from various resources.

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Specific details about things that are required frequently

Neural Network from scratch without any machine learning libraries