Our great sponsors
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scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Measure your code? To treat a patient, a doctor has to determine what the illness is? Likewise, you need to measure your code for bottlenecks before deciding on a scaling strategy. There are many tools that can use to profile your python code. Scalene is one of the most complete measuring tools available at the moment.
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.
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.
Dask: Distributed data frames, machine learning and more