4.1 Python Objects
All Python objects have three characteristics: identity, type and value.
Identity:
Every object has a unique identity that identifies itself. The identity of any object can be obtained using the built-in function id(). This value can be thought of as the memory address of the object. You will rarely use this value and don't care much about what it is.
Type
The type of an object determines what type of values the object can save, what operations it can perform, and what rules it follows. You can check the type of a Python object using the built-in function type(). Because types in Python are also objects
(remember when we mentioned that Python is object-oriented?), type() returns an object instead of a simple string.
Value
Data represented by the object
4.1.1 Object attributes
Some Python objects have attributes, values, or associated executable code, such as methods. Python uses dot (.) notation to access properties. Properties include the name of the corresponding object, etc., which were introduced in the remarks of Chapter 2.14. The most commonly used attributes are functions and methods, but some Python types also have data attributes. Objects that contain data attributes include (but are not limited to): classes, class instances, modules, plurals, and files.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

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