| 000 | 01393nam a22003257a 4500 | ||
|---|---|---|---|
| 001 | 27467 | ||
| 005 | 20241109222045.0 | ||
| 008 | 221014s2016 vm ||||| |||||||||||eng d | ||
| 020 | _a9781785889691 | ||
| 040 |
_aLIB.UNETI _bvie _cLIB.UNETI _eAACR2 |
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| 041 | 0 | _aeng | |
| 044 | _avm | ||
| 082 |
_a005.133 _bP6119F |
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| 100 | 1 | _aPierfederici, Francesco | |
| 245 | 1 | 0 |
_aDistributed computing with Python : _bHarness the power of multiple computers using Python through this fast-paced informative guide / _cFrancesco Pierfederici |
| 250 | _a1st ed. | ||
| 260 |
_aUK : _bPackt Publishing, _c2016 |
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| 300 |
_a155 tr. ; _c24 cm |
||
| 520 | 3 | _aThis book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.Style and ApproachThis example based, step-by-step guide will show you how to make the best of your hardware configuration using Python for distributing applications. Index Terms | |
| 653 | _aDistributed Computing | ||
| 653 | _aPython | ||
| 690 | _a10 | ||
| 691 | _a29 | ||
| 691 | _a36 | ||
| 691 | _a26 | ||
| 691 | _a34 | ||
| 691 | _a23 | ||
| 691 | _a25 | ||
| 942 | _cSTK | ||
| 999 |
_c8083 _d8083 |
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