The Complete Python Network Programming Course for 2022

The Complete Python Network Programming Course for 2022

The Complete Python Network Programming Course for 2022

Learn Network Programming with the Full Featured Python Libraries

Language: english

Note: 4.2/5 (107 notes) 28,229 students

Instructor(s): Martin Yanev

Last update: 2021-10-09

What you’ll learn

  • Python basics and applying them to real world projects.
  • Extract information to any web location with Python
  • Network and HTTP Programming
  • TCP/UDP/IP Networks and Interfaces
  • IPv4 and IPv6 Internet Protocols
  • Using Sockets to connect servers and clients
  • Web Scraping with BeautifulSoup and Scrapy
  • Extracting Emails and Email Protocols with POP3 and IMAP
  • Interacting with web APIs

 

Requirements

  • Having MacOS, Windows or Linux operating system.
  • Desire to learn Python for Networking

 

Description

Welcome the the Python Networking Course. Here you’ll learn how to use Python for network programming, extract data in different formats over the web and request and retrieve web resources. You’ll adopt variety of protocols, and you’ll modify systems over the web with DNS and IP networking. We will start from the very basics with python 3.9 installations and continue to the advanced networking topics.

We will cover socket programming and develop practical client-to-server applications with API and FTP. The applications generated code will be endorsed through current web frameworks.

The Python Networking course is a great reference for computer science students, system administrators  and experienced Python developers  who are looking to expand their knowledge with Python Network Programming libraries. Even though the course is perfect for advanced programmers, prior experience with Python is not recommended. There are two section covering all Python basics.

Python network programming provides a broad exploration of the basic principles of the network. Python supports network programming and provides plenty of key libraries. You will also learn how to use powerful GUI applications to monitor your traffic such as Wireshark. It as a diagnostic tool for protocol research and network programming. We will also see how we can interact with Python’s Wireshark with the pyshark module.

Socket Programming introduces the basics of sockets and the principles of UDP and TCP through examples involving the socket module with the IPv4 and IPv6 protocols. We will also cover asynchronous and non-blocking programming and HTTPS and TLS for the secure transport of data.

HTTP network programming covers the HTTP protocol and core Python modules such as the standard urllib library and the REST API connection request package. It also covers HTTP authentication mechanisms and how we can manage them through the request module. The Application Programming Interface in Action covers how to use Python to extract data from the major data formats on the web: HTML, XML, and JSON. A

Reaching email data by exploring Python modules that facilitate communication with email servers using the SMTP, POP3, and IMAP protocols. Practical code examples in Python 3.7 will illustrate most of the concepts.

Web Scraping with BeautifulSoup and Scrapy covers how to extract content from a web page by automating the information retrieval process using scraping techniques to automatically retrieve data from the web. We will cover some of the more powerful tools that we can find in Python 3.9, with a focus on BeautifulSoup and Scrapy.


 

Who this course is for

  • Beginner Python Developers
  • Software Test Engineers
  • Everyone with the Desire to Learn Python for Networking
  • Employees in Software Companies
  • Computer Science/ Software Engineering Students

 

Course content

  • Introduction
    • Introduction to Networking with Python
    • Why Learning Python for Networking
    • Important Notes and Course Navigation
  • Python and PyCharm Installation
    • Install Python and PyCharm
  • Introduction to Python
    • Print Objects and Data Types
    • Taking Inputs From the User
    • Logical Operations
    • Exercise 1: Inputs and Logical Operations
    • Operations and Strings
    • Arithmetic Operations
    • Comparisons and Logical Operations
    • If Statement
    • Exercise 2: If Statements
    • Loops
    • Data Structures
  • Python Functions and Classes
    • Python Void Functions
    • Return Functions
    • Exercise 1: Functions
    • Exceptions
    • Classes, Objects and Methods
    • Exercise 2: Classes
    • Inheritance
    • Modules
  • Network Programming Protocols
    • Network Programming Overview
    • IP/TCP Networking
    • UDP and TCP Protocols
    • IP Addresses and Ports
    • Network Interfaces
    • DHCP Protocol
    • DNS Protocol
    • NAT, IPv4 and IPv6 Protocols
    • Pip Installations
    • Sockets
    • Working with RFC
    • Introduction to Wireshark
    • Packets and Network Trafick
    • Pyshark Library
  • Web Programming with Python
    • Consuming Web Services with URL library
    • Handling exceptions
    • HTTP Headers
    • User Agent
    • Customizing Requests with urllib
    • Content Types and Content URLs
    • Getting Images URL
    • URLs Workflow
    • Making Requests
    • Checking HTTP Headers and Proxy Requests
    • Getting whois Information
    • Working with Forms
    • Using Requests to Handle Forms
    • What are Cookies?
    • Working with Cookies
    • Using Requests to Handle Cookies
    • Authentication Mechanisms
    • HTTP Authentication
  • Network Application Interface
    • REST APIs: Advantages and Usage
    • Encoding and Decoding with JSON
    • Using Dictionary with JSOM
    • Reading an XML File
  • Web Scrapping: BeautifulySoup and Scrapy
    • Web Scription: Overview
    • Parsing HTMLs
    • Searching with XPath
    • Getting Pages and Images with XPath
    • BeautifulSoup Software
    • Document Object Model Access
    • Extracting Labels and Handling URL Exceptions
    • Scrapy Overview
    • XPath Expressions
    • Working with Spiders
    • Extracting Quotes and Authors
    • Storing Spiders Data
    • Scrapy Items
    • Item PipeLine
  • Email Networking with Python
    • Email Management & Protocols
    • Sending Emails with SMTP Protocol
    • The smtplib
    • Gmail SMTP Server Connection
    • The External SMTP Service
    • POP3 Protocol Usage
    • Introduction to poplib
    • Gmail Connection and Cofiguration
    • The IMAP Protocol
    • Retrieving Emails with Imapclient
  • Networking with Sockets: Servers and Clients
    • Introduction to Sockets
    • Getting Ports Information
    • Creating a TCP Client
    • Creating a Banner
    • Port Scanning with Sockets
    • TCP and UDP Protocols for Sockets
    • TCP Sockets
    • UDP Sockets

 

The Complete Python Network Programming Course for 2022The Complete Python Network Programming Course for 2022

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