Data Structures & Built-ins Roadmap

🏷️ Course Modules

Welcome to the module! Below is the complete roadmap of chapters and lessons. Click any topic to get started.

Chapter 11

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• Python File as an Isolated Module
• Module Search Path Mechanics
• Built-in vs Third-Party vs Custom Modules
• Importing a Whole Module Namespace
• Importing Specific Items via From
• Importing with a Shorter Alias
• Wildcard Star Imports Dangers and Avoidance
• The os Module for System Interactions
• The sys Module for Interpreter Parameters
• The subprocess Module for Shell Execution
• The socket Module for Low-Level Networking
• The time and datetime Modules for Tracking
• The re Module for Regex Pattern Matching
• The json Module for Data Serialization
• The logging Module for Structured Logs
• The name == main Pattern Execution Mechanics
• Writing Reusable Module Files
• Importing Custom Modules Locally
• The Batteries Included Philosophy
• Navigating the Official Python Documentation
• Important Library Categories Summary

Chapter 12

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• File Opening with the open() Function
• File Modes (Read, Write, Append, Binary)
• Manual File Closing Dangers
• Context Managers and with open Standard
• Reading Entire File as a String
• Reading Single Line-by-Line Sequences
• Reading All Lines into a List Array
• Memory Efficient Line Iteration Loops
• Writing Strings with write()
• Writing Lists of Strings via writelines()
• Appending Without Overwriting Targets
• Practical Example: Writing Script Execution Logs
• Path Operations with os.path Utilities
• Cross-Platform Path Building via join
• Existence Checks and File/Directory Validation
• Modern Path Management with pathlib
• The csv Module for Reading and Writing Lists
• Using csv.reader and csv.writer
• Dictionary Mapping with csv.DictReader
• Practical Example: Reading Server Inventory CSVs
• File Deserialization via json.load()
• File Serialization via json.dump()
• String Serialization via loads and dumps
• Practical Example: Reading JSON Configurations

Chapter 13

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• Interpreter Error Raising Concepts
• Common Built-in Exceptions Catalog
• Syntax Errors vs Runtime Exceptions
• Basic Try-Except Structures
• Catching Specific Exception Types
• Multiple Except Blocks Handling
• Capturing Messages via except Exception as e
• Successful Execution Blocks with else
• Guaranteed Cleanup Execution via finally
• Practical Example: Closing Connections and Files
• Intentional Error Triggering via raise
• Re-raising Caught Exceptions Patterns
• Architectural Reasons for Raising Exceptions
• Inheriting from the Base Exception Class
• Code Clarity Improvements via Custom Errors
• Practical Example: ConnectionFailedError Definition
• Bare Except Pitfalls and Avoidance
• Exception Silencing Dangers and Logging Needs
• Logging Module Integration vs Print Statements
• Architectural Fail-Fast vs Graceful Degradation

Chapter 14

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• Directory Retrieval and Navigation (getcwd, chdir)
• Listing Directory Contents via listdir
• Creating Directories (mkdir, File Structures)
• Deleting Files and Directories (remove, rmdir)
• Renaming Files and Targets with os.rename
• Reading Active Shell Environment Variables
• Safe Environment Variable Retrieval via getenv
• Copying Files (shutil.copy vs copy2)
• Moving Files and Directories via shutil.move
• Recursive Directory Tree Deletion (rmtree)
• Checking Physical Disk Space Layouts
• Practical Example: Archiving Old Log Files
• Recommended Execution with subprocess.run()
• Capturing Command Output and Error Streams
• Return Code Evaluations and Assertions
• Safe Argument Arrays and Injection Mitigation
• Advanced Process Management via Popen
• Practical Example: Running ping, df, and systemctl
• Reading Command-Line Arguments via argv
• Script Termination with System Exit Codes
• Host Operating System Detection via platform
• Module Lookup Paths and the sys.path Array
• Getting the Current Process ID via getpid
• Signal Module Introduction and Concepts
• Handling SIGINT (Ctrl+C) Gracefully

Chapter 15

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• Text Pattern Matching and Bound Concepts
• Regex Power and Advantages Over String Methods
• The re Module Initialization in Python
• Wildcards and Quantifiers (dot, star, plus, ?)
• Boundary Anchors (Caret and Dollar Sign)
• Character Classes (Digits, Words, Whitespace)
• Matching Character Sets Using Brackets
• Negated Character Sets (Caret in Brackets)
• Match at Start vs Search Anywhere
• Finding All Matches (findall vs finditer)
• Substitutions and Replacing Patterns via sub()
• Compiling Reusable Patterns via re.compile()
• Creating Capture Groups Using Parentheses
• Accessing Positional Groups by Group Index
• Named Capture Groups Syntax Layouts
• Practical Example: Extracting Fields from Logs
• Validating IPv4 Address String Formats
• Extracting All IPs from Unstructured Text
• Parsing Structured Logs for Error Entries
• Extracting Interface Names from show interface