What does it mean to scale your python powered pipeline?

Data Science And Machine Learning Data Dashboard Data Science Tools

Pandas Landing Page
1

Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pricing:
- Open Source
Increase code efficiency: Python is designed for ease of use and easy extension, but not performance. As a developer, the onus is on you to do more work so that the application executes less code. Whenever possible use vectorized library functions instead of loops. Python is successful in data science because of the pre-compiled code offered by data-appropriate libraries in the pydata stack such as pandas and numpy.

#Data Science And Machine Learning #Data Science Tools #Python Tools 196 social mentions
NumPy Landing Page
2

NumPy

NumPy is the fundamental package for scientific computing with Python
Pricing:
- Open Source
Increase code efficiency: Python is designed for ease of use and easy extension, but not performance. As a developer, the onus is on you to do more work so that the application executes less code. Whenever possible use vectorized library functions instead of loops. Python is successful in data science because of the pre-compiled code offered by data-appropriate libraries in the pydata stack such as pandas and numpy.

#Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions
Horovod Landing Page

3

Horovod

Uber’s open source distributed Deep Learning framework

Horovod: Uber's framework for distributed deep learning.

#Productivity #AI #Data Science And Machine Learning 1 social mentions
Dask Landing Page
4

Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
Pricing:
- Open Source
Dask: Distributed data frames, machine learning and more.

#Workflows #Databases #Software Development 16 social mentions