I will optimize and speed up your slow python or pandas code

You will receive actual optimized code. The Basic package is designed for one clearly defined performance problem and includes the modified code, not just an audit.

It depends on the bottleneck. Some workloads improve modestly, while inefficient loops, Pandas operations, or poor algorithms can sometimes improve significantly. I profile and benchmark the code before making claims rather than promising a fixed speedup.

Preserving correctness is a core part of the work. I compare outputs and use validation tests where practical. If reduced numerical precision or approximation is being considered for performance, I will discuss that with you first.

I work with Python scripts, Pandas/NumPy workflows, data-processing pipelines, numerical algorithms, simulations, backend functions, and other CPU- or memory-intensive workloads.

Yes. I can work with .ipynb notebooks as well as normal .py files.

Yes, when they are appropriate for the bottleneck. I first look for simpler improvements such as algorithm changes, vectorization, or memory improvements before adding compiled components.

Yes, although the exact approach depends on dataset size, memory limits, storage format, and execution environment. You can provide representative or synthetic data if the real dataset is confidential.

Yes. You can provide a reduced or synthetic reproduction if preferred. For sensitive commercial projects, discuss confidentiality requirements with me before ordering.