In Python, a module will help us to work with JSON which is a built-in JSON module, which allows us to convert between JSON and Python data types. Here's a quick guide on how to handle JSON files in Python.
Computers can easily analyze and create JSON (JavaScript Object Notation), a lightweight format for exchanging data that is simple for people to read and write.
Reading a JSON file in Python is a basic concept while handling the data in Python. Python has a built-in package called JSON, which can be used to work with JSON data. This is done using the JSON module, which gives us several methods to help us read the JSON file in the loads() and load() methods.
import json
Following is a code example of reading a JSON file.
# Opening and reading a JSON file
with open('data.json', 'r') as file:
data = json.load(file)
# Now `data` is a Python dictionary (or list depending on the JSON structure)
print(data)
Writing a JSON file in Python converts Python objects such as directories and lists into JSON format and saving to a file.
Following is a code example of Writing a JSON File.
import json
# Python dictionary to write into JSON
data = {
'name': 'Aman',
'age': 25,
'city': 'New York'
}
# Writing the dictionary into a JSON file
with open('data.json', 'w') as file:
json.dump(data, file, indent=4) # `indent=4` makes the file more readable
Modifying JSON data in Python loads an existing JSON file into a Python object such as a dictionary or list, making the necessary changes to that object, and then saving the updated data to the JSON file.
Following is the code example for modifying the JSON Data.
Let’s assume we have JSON data:
{
"name": "Aman",
"age": 25,
"city": "Los Angeles",
"skills": ["Python", "ReactJS", "Node.js"]
}
Now Modify the above JSON Data:
import json
# Read the JSON data from the file
with open('data.json', 'r') as file:
data = json.load(file)
# Modify the data
# Let's change the city, add a new skill, and update the age
data['city'] = 'India'
data['skills'].append('Django')
data['age'] = 26
# Write the modified data back to the file
with open('data.json', 'w') as file:
json.dump(data, file, indent=4)
We can also work on the JSON string directly using the json.loads() and Json.dumbs(), where loads() Reads JSON from a file and converts it to a Python object, and dumbs() writes a Python object to a file in JSON format.
Let’s demonstrate the above method using an example:
# Convert JSON string to Python object:
json_str = '{"name": "Aman", "age": 25, "city": "Delhi"}'
data = json.loads(json_str)
print(data) # Output will be a Python dictionary
# Convert Python object to JSON string:
data = {'name': 'Aman', 'age': 25, 'city': 'Delhi'}
json_str = json.dumps(data, indent=4)
print(json_str) # Output will be a JSON-formatted string
In Python, a module will help us to work with JSON which is a built-in JSON module, which allows us to convert between JSON and Python data types. Here's a quick guide on how to handle JSON files in Python.
Computers can easily analyze and create JSON (JavaScript Object Notation), a lightweight format for exchanging data that is simple for people to read and write.
Reading a JSON file in Python is a basic concept while handling the data in Python. Python has a built-in package called JSON, which can be used to work with JSON data. This is done using the JSON module, which gives us several methods to help us read the JSON file in the loads() and load() methods.
pythonimport json
Following is a code example of reading a JSON file.
python# Opening and reading a JSON file with open('data.json', 'r') as file: data = json.load(file) # Now `data` is a Python dictionary (or list depending on the JSON structure) print(data)
Writing a JSON file in Python converts Python objects such as directories and lists into JSON format and saving to a file.
Following is a code example of Writing a JSON File.
pythonimport json # Python dictionary to write into JSON data = { 'name': 'Aman', 'age': 25, 'city': 'New York' } # Writing the dictionary into a JSON file with open('data.json', 'w') as file: json.dump(data, file, indent=4) # `indent=4` makes the file more readable
Modifying JSON data in Python loads an existing JSON file into a Python object such as a dictionary or list, making the necessary changes to that object, and then saving the updated data to the JSON file.
Following is the code example for modifying the JSON Data.
pythonLet’s assume we have JSON data: { "name": "Aman", "age": 25, "city": "Los Angeles", "skills": ["Python", "ReactJS", "Node.js"] }
Now Modify the above JSON Data:
pythonimport json # Read the JSON data from the file with open('data.json', 'r') as file: data = json.load(file) # Modify the data # Let's change the city, add a new skill, and update the age data['city'] = 'India' data['skills'].append('Django') data['age'] = 26 # Write the modified data back to the file with open('data.json', 'w') as file: json.dump(data, file, indent=4)
We can also work on the JSON string directly using the json.loads() and Json.dumbs(), where loads() Reads JSON from a file and converts it to a Python object, and dumbs() writes a Python object to a file in JSON format.
Let’s demonstrate the above method using an example:
python# Convert JSON string to Python object: json_str = '{"name": "Aman", "age": 25, "city": "Delhi"}' data = json.loads(json_str) print(data) # Output will be a Python dictionary # Convert Python object to JSON string: data = {'name': 'Aman', 'age': 25, 'city': 'Delhi'} json_str = json.dumps(data, indent=4) print(json_str) # Output will be a JSON-formatted string
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
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The following is a step-by-step guide for beginners interested in learning Python using Windows.
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Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.
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