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Introduction to Python for Cybersecurity: The course starts with an introduction to Python programming, covering basic syntax, data types, control structures, functions, and object-oriented programming concepts. Students learn how to write Python scripts to automate tasks and manipulate data.Network Programming with Python: Students learn how to use Python for network programming tasks relevant to cybersecurity, such as socket programming, TCP/IP communication, packet sniffing, and network scanning. They explore libraries such as socket, scapy, and nmap for network-related tasks.Web Scraping and Data Collection: The course covers web scraping techniques using Python libraries such as BeautifulSoup and Scrapy. Students learn how to extract data from websites and APIs for cybersecurity analysis, threat intelligence gathering, and reconnaissance purposes.Data Analysis and Visualization: Students learn how to use Python libraries such as pandas, numpy, and matplotlib for data analysis and visualization in cybersecurity. They explore techniques for analyzing log files, network traffic, and other security-related data sources.Malware Analysis with Python: The course covers techniques for malware analysis using Python, including static and dynamic analysis approaches. Students learn how to write Python scripts to analyze malware samples, extract indicators of compromise (IOCs), and generate reports.Cryptography and Encryption: Students learn about cryptographic algorithms and techniques for encryption, decryption, hashing, and digital signatures using Python libraries such as cryptography. They explore common cryptographic protocols and applications in cybersecurity.Web Application Security Testing: The course covers techniques for web application security testing using Python, including vulnerability scanning, fuzzing, and exploitation. Students learn how to use Python frameworks such as OWASP ZAP and Burp Suite for web application security testing.Network Security Monitoring: Students learn how to build network security monitoring solutions using Python, including packet capture and analysis, intrusion detection, and threat hunting. They explore libraries such as pyshark and scapy for network security monitoring tasks.