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
This course includes:
- 12 hours on-demand video
- 6 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Welcome to the Network Python course. Learn how to use Python for web programming, get data in various formats on the web, and query and retrieve web resources. They adopt various protocols and modify systems on a network using DNS and IP networks. We’ll start with the basics of installing Python 3.9 and move on to more advanced web themes.
We’ll cover socket programming and develop practical client-server applications using APIs and FTP. The code generated by the application is approved through the current web framework.
The Network Python course is a great resource for computer science students, system administrators, and experienced Python developers looking to expand their knowledge of Python network libraries. While this course is ideal for intermediate programmers, prior knowledge of Python is not recommended. There are two sections covering all the basics of Python.
Network Programming with Python offers a comprehensive examination of the basic principles of networking. Python supports network programming and provides many key libraries. You will also learn how to use powerful GUI applications to monitor your traffic, such as B. Wireshark. It is a diagnostic tool for checking network protocols and programming. We will also see how we can interact with Wireshark in Python using the pyshark module.
Sockets Programming introduces the basics of sockets and the principles of UDP and TCP using examples related to the socket module with IPv4 and IPv6 protocols. We’ll also cover asynchronous and non-blocking programming, as well as HTTPS and TLS for secure data transport.
HTTP network programming includes the HTTP protocol and core Python modules such as the urllib standard library and the REST API package for connection requests. It also covers the HTTP authentication mechanism and how we can manage it through the requirements module. The Application Programming Interface in Action includes using Python to extract data from the main data formats on the web: HTML, XML, and JSON. A
Access e-mail data by exploring Python modules that facilitate communication with e-mail servers using the SMTP, POP3, and IMAP protocols. The handy code examples in Python 3.7 illustrate most of the concepts.
Web scraping with BeautifulSoup and Scrapy describes how to extract content from web pages by automating the information extraction process using data mining techniques to extract data automatically from the web. We’ll take a look at some of the more powerful tools we can find in Python 3.9, focusing on BeautifulSoup and Scrapy.
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