本文实例为大家分享了Python数据预处理的具体代码，供大家参考，具体内容如下 1.导入标准库 import numpy as np import matplotlib.pyplot as plt import pandas as pd 2.导入数据集 dataset = pd.read_csv('data (1).csv') # read_csv：读取csv文件 #创建一个包含所有自变量的矩阵，及因变量的向量 #iloc表示选取数据集的某行某列；逗号之前的表示行，之后的表示列；冒号表示选取全部，没有冒号，则表示选取第几列；values表示选取数据集里的数据。 X = dataset.i

The Keysight Technologies, Inc. eDP 1.4 electrical performance and characterization (EP&C) software for Infniium Series oscilloscopes (see Table 2) provides you with a fast and easy way to verify and debug your eDP interface designs for embedded systems. The eDP 1.4 electrical test software is designed to be uniquely flexible to handle the wide variety of confgurations that are possible in embedded systems and pose characterization challenges. It offers the standard tests that are recommended as well as other informative tests, so it functions equally well as a validation tool. It displays the measurement data results in a flexible report format, and the report also provides a margin analysis that shows how closely your device passed or failed each test.

1、可以设定间隔时间发起大规模长、短连接 2、可以发起密集数据包，包括即时和定时发送 3、数据发送工作由一个独立线程担当，连接发起工作可设置多个独立的线程担当。 4、可以多种模式组合连接或发送数据。

主要介绍了在Docker中部署Confluence和jira-software的方法步骤，小编觉得挺不错的，现在分享给大家，也给大家做个参考。一起跟随小编过来看看吧

ESP32模块关于TF卡/SD卡的操作源码，挂载文件系统配置和对SD卡进行读写图片，并且输出打印SD卡和图片的大小信息

DevOps A Software Architect’s Perspective Len Bass Ingo Weber Liming Zhu

CATIA二次开发Automation; CATIA二次开发Automation;专业人士应该很清楚的。

原版CATIA V5 Automation 教程

Just noticeable difference based fast coding unit partition in HEVC intra coding

This book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer’s point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology. Table of Contents Chapter 1 FPGA Versus Software Programming: Why, When, and How? Chapter 2 High-Level Synthesis Chapter 3 A Quick Tour of High-Level Synthesis Solutions for FPGAs Part I Commercial HLS Solutions Chapter 4 Making FPGAs Accessible with LabVIEW Chapter 5 Spatial Programming with OpenSPL Chapter 6 OpenCL Chapter 7 Big Data and HPC Acceleration with Vivado HLS Chapter 8 Source-to-Source Optimization for HLS Chapter 9 Bluespec SystemVerilog Part II Academic HLS Solutions Chapter 10 LegUp High-Level Synthesis Chapter 11 ROCCC 2.0 Chapter 12 HIPA0.75plus0.75minus0.75100.75cc Part III FPGA Runtime Systems and OS Services Chapter 13 ReconOS Chapter 14 The LEAP FPGA Operating System Part IV SoC and Overlays on FPGAs Chapter 15 Systems-on-Chip on FPGAs Chapter 16 FPGA Overlays