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Building Big Iron in the Cloud with Google Compute Engine
11.06.2014
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BSD, and SELinux [2]; and Red Hat Enterprise Linux, SUSE, and Windows [3]. Instances are available with many options and are completely customizable from a hardware perspective. You can choose the number of cores
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Thread processing in Python
02.06.2020
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around the GIL is to run computationally intensive code outside of Python with tools such as Cython [1] and ctypes [2]. You can even use F2PY [3] with compiled C functions. All of the previously mentioned
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Service discovery, monitoring, load balancing, and more with Consul
04.10.2018
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"data_dir": "/var/consul", 08 "datacenter": "Datacenter-A", 09 "disable_update_check": true, 10 "enable_script_checks": true, 11 "enable_syslog": true, 12 "encrypt": "xxxxxxxxxxxxxx
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Finally: Java 9
13.02.2017
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will be followed this time, although test builds are now available online [2]. Jigsawing One core feature of Java 9 par excellence is the Java Platform Module System that became known as Project Jigsaw [3]. Thus
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Apache 2.4 with mod_lua
30.11.2025
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type="text" name="firstname"> 07
08 09 10 11 Listing 3 shows the content
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High-performance Python – compiled code and C interface
01.08.2019
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source JIT compiler that translates a subset of Python and NumPy [2] code into fast machine code at run time; hence, the "JIT" designation. Numba uses the LLVM [3] compiler library for ultimately compiling
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VTP for VLAN management
04.10.2018
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active Fa0/1, Fa0/2, Fa0/3, Fa0/4, Fa0/5, Fa0/6, Fa0/7, Fa0/8, Fa0/9, Fa0/10, Fa0/11, Fa0/12 10
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Getting started with AI
26.01.2025
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, and was first released in March 2015. It developed a following fairly quickly because the models were popular at the time. Up to version 2.3, Keras supported multiple frameworks (back ends) that included Tensor
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Getting started with the Apache Cassandra database
06.10.2019
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Stax Insights [3]. The former enables flexible scalability in Cassandra clusters and consumption-based billing supported by the stability and performance enhancements of DataStax Enterprise, which monitors
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Keras: Getting Started with AI
03.12.2024
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, and was first released in March 2015. It developed a following fairly quickly because the models were popular at the time. Up to version 2.3, Keras supported multiple frameworks (back ends) that included Tensor

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