Udemy MOOC / Non-credit 0

Python Tricks & Shortcuts to Boost Python Programming Skill

Name: Python Tricks & Shortcuts to Boost Python Programming Skill
Price: 19.99 USD
Availability: InStock

About this course

Want to code smarter, faster, and more Pythonically ?Welcome to "Python Tricks & Shortcuts to Boost Python Programming Skill" – a rapid-fire, hands-on course designed to supercharge your Python skills and unlock real-world coding confidence.Whether you're a beginner ready to go beyond the basics or an intermediate programmer aiming to sharpen your edge, this course delivers Hand-picked Python tips, shortcuts, and hacks that every developer should know.Why Take This Course?This isn’t just another Python basics course — it’s a productivity booster. You’ll learn how to write concise, readable, and powerful code using the best features Python offers. Whether you're scripting for automation, preparing for interviews, building apps, or cleaning up legacy code, these tricks will save you hours and make your code shine.Each trick is explained clearly with examples, outputs, and mini challenges. And all of it is packed into a short, digestible, and focused format that respects your time.What You’ll LearnPythonic one-liners, shortcuts, and elegant coding patternsPowerful built-in functions (zip(), map(), filter(), enumerate(), and more)Advanced data structures (Counter, defaultdict, deque, etc.)Functional programming tricks using lambda, *args, **kwargs, and decoratorsFile handling, OS automation, and working with directories like a proTime and date operations, timers, and schedulingError handling, debugging tools, and safe exception usagereal-world scripts, and automation examples

62/100

CourseAsk score

What the provider tells you: 38/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Pythonic one-liners and elegant coding patterns
Use of powerful built-in functions like zip(), map(), and filter()
Understanding of advanced data structures such as Counter and defaultdict
Functional programming techniques using lambda and decorators
Effective file handling and automation practices

Software Engineering #python #data structures #automation #debugging #functional programming #scripting #programming #error handling #file handling #lambda #readable code #shortcuts #decorators #os automation #time operations #one-liners

$19.99

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