Profile of Autodesk Practical Perforce

Practical Contiki-NG Programming for Wireless Sensor Networks 英文epub本资源转载自网络，如有侵权，请联系csdn管理员删除查看此书详细信息请在美国亚马逊官网搜索此书

Leedy, Paul and Ormrod, Jeanne Ellis. (2018, 12th ed.). Practical research: Planning and design. USA: Pearson Publishing Company.

Practical Packet Analysis: Using Wireshark to Solve Real-World Network Problems by Chris Sanders English | 28 Mar. 2017 | ASIN: B06XX74R1X | 368 Pages | AZW3 | 24.73 MB Wireshark is the world's most popular network sniffer that makes capturing packets easy, but it won't be much help if you don't have a solid foundation in packet analysis. Practical Packet Analysis, 3rd Edition will show you how to make sense of your PCAP data and let you start troubleshooting the problems on your network. This third edition is updated for Wireshark 2.0.5 and IPV6, making it the definitive guide to packet analysis and a must for any network technician, administrator, or engineer. This updated version includes two new chapters that will teach you how to use the powerful command-line packet analyzers tcpdump and TShark as well as how to read and reference packet values using a packet map. Practical Packet Analysis will introduce you to the basics of packet analysis, starting with how networks work and how packets travel along the wire. Then you'll move onto navigating packets and using Wireshark to capture and analyze packets. The book then covers common lower-layer and upper-layer protocols and provides you with real-world scenarios like Internet connectivity issues, how to capture social media traffic, and fighting a slow network. You'll learn how to: Monitor your network in real-time and tap live network communications Recognize common network protocols including TCP, IPv4 and IPv6, SMTP, and ARP Build customized capture and display filters to quickly navigate through large numbers of packets Troubleshoot and resolve common network problems like loss of connectivity, DNS issues, and sluggish speeds with packet analysis Understand how modern exploits and malware behave at the packet level Carve out data in a packet to retrieve the actual files sent across the network Graph traffic patterns to visualize the data flowing across your network Use advanced Wireshark features to under

Practical Foundations for Programming Languages 是CMU教授Robert Harper 的15-312 Foundations of Programming Languages 参考教材。

实用流星 实时 Meteor.js 示例

此 repo 包含来自示例代码的 Python 版本。 代码示例是此 repo 中的连续提交，提交消息包含本书中示例代码的页码。

data lake

A general definition for safety is the “freedom from those conditions that can cause death, injury, illness, damage to or loss of equipment or property, or environmental harm” [1]. The definition of safety-critical software is more subjective. The Institute of Electrical and Electronic Engineers (IEEE) defines safety-critical software as: “software whose use in a system can result in unacceptable risk. Safety-critical software includes software whose operation or failure to operate can lead to a hazardous state, software intended to recover from hazardous states, and software intended to mitigate the severity of an accident” [2]. The Software Safety Standard published by the U.S. National Aeronautics and Space Administration (NASA) identifies software as safety-critical if at least one of the following criteria is satisfied [3,4]:

Clean Architectures in Python A practical approach to better software design By 作者: Leonardo Giordani Pub Date: 2019 ISBN: n/a Pages: 171 Language: English Format: PDF Size: 10 Mb The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing. The main point of the clean architecture is to make clear “what is where and why”, and this should be your first concern while you design and implement a software system, whatever architecture or development methodology you want to follow. This book is divided into two parts. The first part is about Test-driven Development (TDD), a programming technique that will help you more reliable and easily modifiable software. I will first guide you through a very simple example in chapter 1, demonstrating how to use TDD to approach a project, and how to properly create tests from requirements. In chapter 2 I will then discuss unit testing from a more theoretical point of view, categorising functions and their tests. Chapter 3 will introduce mocks, a powerful tool that helps to test complex scenarios. The second part introduces the clean architecture. The first chapter discusses briefly the components and the ideas behind this software structure, while chapter 2 runs through a concrete example of clean architecture for a very simple web service. Chapter 3 discusses error management and improvements to the Python code developed in the previous chapter. Finally, chapter 4 shows how to plug different database systems to the web service created previously.