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  • Book Overview & Buying Learning Python Networking
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Learning Python Networking

Learning Python Networking

By : Dr. M. O. Faruque Sarker, Samuel B Washington, Sam Washington
3.7 (7)
Buy this Book
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Learning Python Networking

Learning Python Networking

3.7 (7)
By: Dr. M. O. Faruque Sarker, Samuel B Washington, Sam Washington
Buy this Book

Overview of this book

If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. Basic knowledge of Python is assumed.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Network Programming and Python
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1. Network Programming and Python
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An introduction to TCP/IP networks
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Network programming with Python
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Breaking a few eggs
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Summary
2
2. HTTP and Working with the Web
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2. HTTP and Working with the Web
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Request and response
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Requests with urllib
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Response objects
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Status codes
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Handling problems
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HTTP headers
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Customizing requests
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Content negotiation
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User agents
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Cookies
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Redirects
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URLs
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HTTP methods
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Formal inspection
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HTTPS
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The Requests library
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Summary
3
3. APIs in Action
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3. APIs in Action
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Getting started with XML
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The Amazon S3 API
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JSON
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The Twitter API
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HTML and screen scraping
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With great power...
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Summary
4
4. Engaging with E-mails
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4. Engaging with E-mails
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E-mail terminologies
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Sending e-mails with SMTP
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Sending e-mails securely with TLS
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Retrieving e-mails by using POP3 with poplib
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Retrieving e-mails by using IMAP with imaplib
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Sending e-mail attachments
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Sending e-mails via the logging module
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Summary
5
5. Interacting with Remote Systems
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5. Interacting with Remote Systems
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Secure shell – access using Python
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Transferring files through SFTP
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Transferring files with FTP
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Fetching Simple Network Management Protocol data
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Reading Light-weight Directory Access Protocol data
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Sharing files with SAMBA
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Summary
6
6. IP and DNS
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6. IP and DNS
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Retrieving the network configuration of a local machine
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Manipulating IP addresses
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GeoIP look-ups
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NTP clients
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Summary
7
7. Programming with Sockets
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7. Programming with Sockets
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Basics of sockets
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Working with TCP sockets
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Working with UDP sockets
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TCP port forwarding
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A non-blocking socket I/O
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Securing sockets with TLS/SSL
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Creating a custom SSL client/server
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Summary
8
8. Client and Server Applications
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8. Client and Server Applications
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Client and server
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An echo protocol
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A simple echo server
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A simple echo client
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Concurrent I/O
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Multithreading and multiprocessing
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A multithreaded echo server
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Designing a chat server
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A chat protocol
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Handling data on persistent connections
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A multithreaded chat server
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A multithreaded chat client
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Event-driven servers
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A low-level event-driven chat server
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Frameworks
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An eventlet-based chat server
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An asyncio-based chat server
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More on frameworks
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Taking our servers forward
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Summary
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9. Applications for the Web
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9. Applications for the Web
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What's in a web server?
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Python and the Web
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Flask – a microframework
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Hosting Python web applications
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Hosting in practice
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Summary
10
A. Working with Wireshark
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A. Working with Wireshark
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Packet sniffers
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Wireshark
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Index
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Index

Chapter 3. APIs in Action

When we talk about APIs in relation to Python, we usually refer to the classes and the functions that a module presents to us to interact with. In this chapter, we'll be talking about something different, that is, web APIs.

A web API is a type of API that you interact with through the HTTP protocol. Nowadays, many web services provide a set of HTTP calls, which are designed to be used programmatically by clients, that is, they are meant to be used by machines rather than by humans. Through these interfaces it's possible to automate interaction with the services and to perform tasks such as extracting data, configuring the service in some way, and uploading your own content into the service.

In this chapter, we'll look at:

  • Two popular data exchange formats used by web APIs: XML and JSON
  • How to interact with two major web APIs: Amazon S3 and Twitter
  • How to pull data from HTML pages when an API is not available
  • How to make life easier for the webmasters...

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