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藏经阁-Speeding up Spark with Data Compression on Xeon+FPGA.pdf下载
weixin_39821746
2023-09-16 14:00:37
藏经阁-Speeding up Spark with Data Compression on Xeon+FPGA.pdf , 相关下载链接:
https://download.csdn.net/download/weixin_40191861/88284009?utm_source=bbsseo
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藏经阁-Speeding up Spark with Data Compression on Xeon+FPGA.pdf下载
藏经阁-Speeding up Spark with Data Compression on Xeon+FPGA.pdf , 相关下载链接:https://download.csdn.net/download/weixin_40191861/8828
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藏经阁
-
Speeding
up
Spark
with
Data
Compression
on
Xeon
+
FPGA
.
pdf
藏经阁
-
Speeding
up
Spark
with
Data
Compression
on
Xeon
+
FPGA
.
pdf
藏经阁
-
Speeding
up
Spark
with
Data
Co.
pdf
藏经阁
-
Speeding
up
Spark
with
Data
Co.
pdf
Python
Data
Analysis Cookbook
Python
Data
Analysis Cookbook by Ivan Idris-P2P Packt Publishing | 22 July 2016 | English | ISBN: 178528228X | 462 pages
Data
analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for
data
science, including topics on:
data
analysis, visualization, and machine learning. Python
Data
Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for
data
analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical
data
analysis using distribution algorithms and correlations. You’ll then help you find your way around different
data
and numerical problems, get to grips with
Spark
and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and
speeding
up your code. By the end of the book, you will be capable of handling various
data
analysis techniques in Python and devising solutions for problem scenarios.
QTP11补丁发布 - 支持IE9浏览器识别
QTP11补丁发布 - 支持IE9浏览器识别 ====================================================================== Patch Description and Technical Details ====================================================================== This patch provides official support for testing Web applications in Internet Explorer 9. It includes support for working with Internet Explorer 9 on all operating systems that QuickTest Professional supports. (For the complete list of supported operating systems, see the QuickTest Professional 11.00 Product Availability Matrix, which is available from the Documentation Library Home page or the root folder of the QuickTest Professional DVD.) Notes: 1. The BHOManager add-on should be enabled. If Internet Explorer 9 displays the message: '
Speeding
up browsing by disabling add-ons', choose 'Don't disable' or select a bigger threshold value. 2. The RunScript/RunScriptFromFile method of Page and Frame test objects will not display a dialog box for window.alert, window.confirm, and window.prompt statements in the JavaScript. The rest of the JavaScript will run. 3. When using a Web Add-in Extensibility-based Add-in, if the JavaScript for an operation includes an _util.Alert statement, this statement will not work (will not display a dialog box).
EnhancedScroller v2.29.1.unitypackage
EnhancedScroller virtualizes your
data
, showing only the elements it needs to. Take thousands of rows and display them in a handful of UI elements,
speeding
up processing and saving memory. There is no object destruction, so your platform won't have to run garbage collection. Best of all, it works on top of Unity's own built-in UI system components.
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