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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 219 social mentions
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NumPy is the fundamental package for scientific computing with PythonPricing:
- 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 119 social mentions
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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
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Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you lovePricing:
- Open Source
Dask: Distributed data frames, machine learning and more.
#Workflows #Databases #Software Development 16 social mentions