PySpark
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NumPy
SciPy
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StackTips 2.0
PySpark
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Originally published at http://stacktips.com. - Source: dev.to / over 2 years ago
Today, I am excited to take a giant leap forward in my journey by open-source the codebase of my blog stacktips is now available on GitHub. - Source: dev.to / almost 3 years ago
Now I am running this blog stacktips.com. It is a custom-built site, using Python, Django, and VueJS. - Source: dev.to / almost 3 years ago
Prefix="og: https://ogp.me/ns#"> StackTips - Resources for Developers property="og:url" content="https://stacktips.com"> property="og:type" content="website"> property="og:title" content="StackTips- Resources for Developers"> property="og:description" content="StackTips provides developer friendly ways to learn programming. We aim to teach developers in the most efficient ways... - Source: dev.to / almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NumPy - NumPy is the fundamental package for scientific computing with Python
SciPy - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.ย
Anaconda - Anaconda is the leading open data science platform powered by Python.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love