Python, лабораторная работа 17: полный разбор

Learn how list and dictionary comprehensions transform and filter Python data. This complete Lab 17 walkthrough compares comprehensions with familiar for loops, then applies them to hostnames, device risks, vulnerability findings, and security events. Topics covered: • Turning a loop-and-append pattern into a list comprehension • Transforming values and normalizing hostnames • Filtering records with conditional expressions • Selecting findings by severity and remediation status • Building device-to-risk mappings with dictionary comprehensions • Combining the techniques in a security dataset analyzer Work through the examples and practice challenges to see how the expression, iteration, and condition fit together. The final deliverable uses structured security records to produce filtered collections and a report. Pause before each solution to try your own approach and compare the results.