JSON Serialization
JSON
Similar to parsing, Python's `json` library also provides the `json.dumps()` function to serialize Python data structures into JSON strings. You can pass a dictionary or list as input, and the function will generate a JSON string representation of it. This allows you to send or store data in a standard format that can be easily understood by other systems or applications.
JSON Parsing
JSON
In Python, you can use the `json` library to parse JSON data. You can use the `json.loads()` function to convert a JSON string into a Python dictionary or list. For example, if you have a JSON string representing a person's information, you can parse it into a Python dictionary and access individual fields like 'name' or 'age' directly.
JSON Basics
JSON
A JSON object is a collection of key-value pairs, where keys are strings and values can be various data types like strings, numbers, booleans, arrays, or nested objects. JSON arrays, on the other hand, are ordered lists of values, where each value can be any valid JSON data type. For example, an object might represent a person with keys like 'name', 'age', and 'city', while an array could store a list of books with their titles and authors.
How RAM Affects Computer Performance
Basic Computer
Increasing RAM capacity allows your computer to store more data and instructions simultaneously, leading to faster processing and smoother multitasking. More RAM means less frequent reliance on slower storage devices like hard drives, resulting in improved overall system responsiveness and a reduction in lag or freezing.
What is RAM?
Basic Computer
RAM, short for Random Access Memory, is a type of computer memory that stores data and instructions currently being used by the CPU. It's considered volatile memory because its contents are lost when the power is turned off. This is why saving your work is crucial, as the information in RAM is not permanently stored.