Mastering Large Datasets with Python Parallelize and Distribute Your Python Code.pdf
What's inside • An introduction to the map and reduce paradigm • Parallelization with the multiprocessing module and pathos framework • Hadoop and Spark for distributed computing • Running AWS jobs to process large datasets
Mastering Large Datasets with Python Parallelize and Distribute Your Python Code.pdf
What's inside • An introduction to the map and reduce paradigm • Parallelization with the multiprocessing module and pathos framework • Hadoop and Spark for distributed computing • Running AWS jobs to process large datasets
BY Python 🐍 Work With Data
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The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.
The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.
