Python Arrays (Lists), datetime Module Explained! | Part 12

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Level up your data handling in Python! 📈 In this video, we'll explore Python Lists as versatile array-like structures, and then dive deep into the powerful datetime module for managing dates, times, and time differences. Whether you're building data loggers, scheduling apps, or analyzing time-series data, these skills are fundamental!

What you'll learn in this video (Use bullet points for clarity and scannability):

Python Lists as "Arrays":
Recap: How Python lists serve as dynamic, flexible arrays.
Creating and manipulating lists (adding, removing, accessing elements).
Basic list operations (indexing, slicing, comprehension basics).
Introduction to the datetime Module:
Understanding date, time, datetime, and timedelta objects.
Formatting Dates and Times (strftime):
Converting datetime objects into custom string formats (e.g., "YYYY-MM-DD", "HH:MM:SS AM/PM").
Common format codes (%Y, %m, %d, %H, %M, %S, %A, %B, etc.).
Parsing Strings to datetime Objects (strptime):
Converting date/time strings back into datetime objects.
Matching format codes for successful parsing.
Date and Time Calculations (timedelta):
Performing arithmetic operations on datetime objects (e.g., adding/subtracting days, hours, minutes).
Calculating durations between two dates/times.
Practical examples for real-world scenarios involving data collections and time-based operations.

This Python Programming Playlist is your comprehensive guide to mastering Python from the ground up. Designed for beginners and those looking to solidify their foundational knowledge, this series provides clear explanations, hands-on examples, and practical exercises to build your coding skills. Follow along to confidently write your own Python programs and unlock your programming potential!

If this video helped you understand Python's approach to "arrays" (lists) and the powerful datetime module, please LIKE it, SHARE it with your aspiring coder friends, and SUBSCRIBE for more valuable programming content!

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