[center]Python for network engineers | 702 | Natasha Samoylenko | 2015 | Natasha Samoylenko | 9781449388348[/align]
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who's making connections with social media, what they're talking about, and where they're located. You'll learn how to combine social web data, analysis techniques, and visualization to find what you've been looking for in the social haystack-as well as useful information you didn't know existed.
Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.
✔Get a straightforward synopsis of the social web landscape
✔Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+
✔Learn how to employ easy-to-use Python tools to slice and dice the data you collect
✔Explore social connections in microformats with the XHTML Friends Network
✔Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
✔Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
In a nutshell, this is a CCNA for Python. On the one hand, the book is basic enough that anyone can master it, and on the other hand, the book covers all the basic topics that will allow you to further grow on your own. This book is not intended to be an in-depth look at Python. The purpose of the book is to explain the basics of Python in a clear language and give an understanding of the necessary tools for its practical use. Everything discussed in the book is focused on network equipment and working with it. This makes it possible to immediately use what was learned in the course in the work of a network engineer. All examples are shown using Cisco equipment, but, of course, they are applicable to any other equipment.
For network engineers with and without programming experience. All examples and homework will be built with a focus on network equipment. This book will be useful to network engineers who want to automate tasks they encounter every day and wanted to get into programming, but didn't know which way to approach it.
Haven't decided yet whether you should read the book? Read the reviews .
✅ Contents of download скачать:
⭐️ pyneng-readthedocs-io-en-latest.epub (1.21 MB)
⭐️ pyneng-readthedocs-io-en-latest.pdf (2.44 MB)
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✅ Python For Network Engineers 2023 (3.65 MB)
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