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Course Overview

What You Will Learn

Taking Python skills to the next level, this class focuses on automation, optimization, and real-world problem-solving. Students will explore advanced topics including decorators, generators, context managers, multithreading, and asynchronous programming. Emphasis is placed on writing scalable, maintainable code while automating repetitive tasks such as file processing, web scraping, API interactions, email handling, and system administration. Through project-based learning, participants will build robust automation scripts and tools that save time, reduce errors, and streamline complex workflows preparing them for roles in DevOps, data engineering, or backend development.

Program Curriculum

Course Content

Explore the full learning path section by section and preview what is included in this program.

What Makes Python Advanced?
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From Scripts to Real Automation Systems
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Choosing the Right Tooling for Automation Work
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Design Principles for Reliable Automation
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Introduction to Logging in Python
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Log Levels and Their Meaning
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Creating and Using Custom Loggers
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Logging Formatters, Handlers, and Output Destinations
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Structured Logging for Real Systems
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When to Use Logging vs Tracing vs Metrics
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Why Configuration Matters
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INI Configuration Files
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JSON Configuration Files
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YAML Configuration Files
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Environment Variables and .env Files
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Separating Code from Configuration
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Why Command-Line Tools Matter
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Building CLI Tools with argparse
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Building Better Developer Tools with click
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Designing User-Friendly Command-Line Interfaces
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Combining CLI Arguments with Config Files
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Why Concurrency Matters
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Introduction to async and await
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Event Loops and asyncio
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When Async Programming is a Good Fit
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Threading in Python
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Multiprocessing in Python
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Choosing Between Async, Threading, and Multiprocessing
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What is an API?
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Making HTTP Requests with requests
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Modern API Access with httpx
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JSON Parsing and Serialization
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REST API Consumption Basics
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Authentication, Tokens, and API Security Basics
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Pagination and Large API Responses
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Rate Limits, Retries, and Resilient API Clients
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What is Automation Scripting?
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File Handling for Automation Tasks
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Building Backup Scripts
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Data Synchronization Workflows
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Scheduling and Repeating Automation Tasks
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Designing Safe and Idempotent Automation
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Introduction to Web Scraping
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HTML Structure for Scraping
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Parsing Pages with BeautifulSoup
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Cleaning and Structuring Scraped Data
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Dynamic Pages and Browser Automation with Selenium
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Responsible Scraping and Practical Limits
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Error Handling Beyond Basic try/except
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Exception Hierarchy in Python
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Raising Custom Exceptions
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Retry Logic, Backoff, and Graceful Degradation
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Best Practices for Reliable Python Programs
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Why Package Python Code?
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Basic Package Structure
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setup.py, pyproject.toml, and Modern Packaging Direction
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Building Wheels and Distributable Artifacts
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Versioning and Publishing Concepts
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Turning Internal Scripts into Reusable Tools
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Why Python is Popular in DevOps
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Parsing Logs with Python
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Deployment Automation Concepts
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Automation for System Checks and Health Validation
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Building Practical Admin Utilities
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Advanced Python & Automation Wrap-Up
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Advanced Python & Automation

Advanced Python & Automation

$75.00
Not enrolled
Category Software Engineering
Instructor Filimon Shferaw
Lessons 11 Sections
Instructors

Meet the Instructor

  • Filimon Shferaw
    Senior Software Engineer