Python is an easy to use language. It excels at quickly enabling you to get powerful ideas into production.  There are patterns that have been developed in Python for enabling those ideas to scale both vertically (bigger compute) and horizontally (many cores) including working on GPUs.  

 

Our team has worked for over two decades to make Python fast and scalable.  We are uniquely able to ensure that your production investment in Python is optimized -- ensuring that you are paying no more than necessary for compute time. Speed up your company from 2-1000x using tools like Pandas, NumPy, SciPy, Sci-kit-*, Cython, PySpark, Numexpr, Zarr, Numba, and Dask. 

 

Don't Let Your Python Code Hold You Back. Let Us Optimize Your Python Code to Achieve The Speeds You Need. 

 

• We provide a low-cost assessment by reviewing your code and then giving you an estimate of how we can help.  We include about 1 week of effort in this initial purchase that can also be used to provide initial optimization help.

• We have two different options for moving forward after the initial assessment

  • We put a time and materials Statement of Work together

  • We charge a base fee plus a percentage of the hardware cost-savings you enjoy for the next 12-24 months after completion of the project.

• The work we perform in each work-effort can include:

  • Instrumenting your code (profiling) to determine where time is being spent

  • Refactoring your Pandas or NumPy code to be more efficient

  • Making use of Numba, Cython, CFFI + C or other acceleration techniques

  • Making use of GPUs or FPGAs

  • Using Dask, Spark, or other parallelization solutions