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【Introduction to Python Standard Library Part 3】The Standard for Data Exchange! Handle JSON Freely with the json Module #13

Welcome to Part 3 of our "Introduction to Python Standard Library" series! In our previous installments, we explored datetime for handling dates and times, and random for introducing chance into our programs. Today, we're tackling a topic that's fundamental to modern software development and data exchange: working with JSON using Python's built-in json module . If you've ever fetched data from a web API, written a configuration file for an application, or needed to transfer structured data between different systems, you've almost certainly encountered JSON. It's the de facto standard for data interchange on the web. Thankfully, Python provides the powerful and easy-to-use json module to make working with this format an absolute breeze. In this post, we'll cover what JSON is, how to convert Python objects (like dictionaries and lists) into JSON strings (a process called serialization), and how to parse JSON strings back into Python objects (...
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【Introduction to Python Standard Library Part 1】Manipulate Dates and Times Freely! Thorough Guide to Utilizing the datetime Module #11

Welcome to the first installment of our new series: "Introduction to Python Standard Library" ! Python is often praised for its "batteries included" philosophy, meaning it comes with a vast collection of modules that provide a wide range of functionalities right out of the box. This standard library saves you from reinventing the wheel and allows you to build powerful applications more efficiently. In this inaugural post (#11 in our overall Python series), we're diving into one of the most frequently used modules: datetime . Whether you're logging events, scheduling tasks, analyzing data with timestamps, or just need to know the current date and time, the datetime module is your go-to tool. It provides classes for manipulating dates, times, and time intervals in a straightforward and efficient manner. Let's explore how to create, manipulate, format, and parse dates and times to truly master this essential module! Why the `datetime` Module? Hand...
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【Intermediate Python】The Magic of OOP! Let's Write Flexible Code with Polymorphism (Polymorphism) #9

Welcome back to our "Intermediate Python" series! In Part 8 , we delved into the powerful concept of inheritance, learning how classes can inherit attributes and methods from parent classes. Today, we're going to uncover another magical pillar of Object-Oriented Programming (OOP): Polymorphism . The word "polymorphism" comes from Greek, where "poly" means many and "morph" means form. So, polymorphism means "many forms." In programming, it refers to the ability of different objects to respond to the same message (like a method call) in their own specific way. It's what allows us to write more generic, flexible, and adaptable code. Imagine a universal remote control: the "play" button works for your TV, your Blu-ray player, and your sound system, but each device "plays" in its own unique way. That's polymorphism in action! In this post, we'll explore what polymorphism is, how it manifests in Python ...
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