Search Results for "python accounting source code"

httpdbg is a tool for Python developers to easily debug the HTTP(S) client requests in a Python program.

Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()...

...It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.

PySnooper is a simple yet powerful Python debugging utility. Just add a @pysnooper.snoop() decorator, and it logs line-by-line execution with timestamps and local variable tracking—saving you from inserting print() statements manually.

Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ...

Yet another scripting language Main features: - Pointers - Structures - Objectoriented programming (yet to come) - code in plain english - easy to learn (based on C, C++, Java, Pascal, Python, Lua)

pyringe is a powerful Python process “syringe” that attaches to a running interpreter and lets you introspect—and even execute code inside—that live process. It blends debugger-style attachment (via gdb/ptrace techniques) with Python-aware helpers so you can inspect threads, frames, locals, and heap objects without restarting the target. This is invaluable for post-mortem diagnosis of production daemons where reproducing a bug in a dev shell is impractical. pyringe can inject arbitrary...

CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.

Unfortunately this project has been suspended. If you wish to continue its development on your own, please feel free to contact me. UnPyc is a tool for disassembling, analyzing and decompiling Python's *.pyc and *.pyo files. UnPyc supports Python 2.5, 2.6.

PyChecker is a static analysis tool for finding bugs in Python source code. It finds problems that are typically caught by a compiler for less dynamic languages, like C and C++. It is similar to lint.

This module goal is to make the debugging tool of python shell even better. By replacing a few methods in the sys module. Standard error traceback are more powerfull with bettererror.py.

Probe the insides of your Brainfuck code

A RAD GUI Building IDE for wxPython.

jbytecode is a Java bytecode disassembler/assembler written in Python. Dissasembly code is aligned with Java bytecodes in the class file so modification and re-assembly is always possible, even when class is obfuscated.

OOpyREP is a python code generating filter and library. It reads a OpenOffice.org file and creates a python representation of the document structure as well as contents. The generated code uses the reportlab PDF library to render the document.

RapidGDB is a scriptable GUI for the GDB debugger. Almost every aspect of the program can be extended using Python code snippets.