- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Working with different file formats (text, CSV, JSON)
Working With Different File Formats (Text, CSV, JSON) in Python
In Python programming, dealing with different file formats is a regular task. Every format has a unique use case and structure. Among the most popular file types, we'll look at working with plain text, CSV, and JSON files here.
Using different file formats (text, CSV, JSON) is common in software development. Each system serves different purposes and has specific methods for reading and writing. Here is an overview of how these characters can be handled in multiple languages.
Following are the file formats:
- Text Files: The text files store raw text, with no specific structure.
- CSV files: Python has a built-in CSV module to handle CSV files. CSV (Comma-Separated Values) is a popular way to store tabular data. Each line represents one row, and the values are separated by commas.
- JSON Files: Python’s JSON module handles JSON serialization and deserialization. JSON (JavaScript Object Notation) is commonly used for structured data and is the primary format for APIs.
- CSV to JSON Conversion: In some cases, you may need to convert between file formats, such as CSV to JSON.
Example
In the following example, we demonstrate the conversion from CSV to JSON:
import csv
import json
# Reading from CSV and writing to JSON
csv_file = 'data.csv'
json_file = 'data.json'
data = []
with open(csv_file, 'r') as file:
csv_reader = csv.DictReader(file)
for row in csv_reader:
data.append(row)
with open(json_file, 'w') as file:
json.dump(data, file, indent=4)Key Points:
- Text files are simple and useful for unstructured data.
- CSV files are great for structured, tabular data.
- JSON files are ideal for hierarchical or complex structured data.
Tools like csv (Python) make handling these formats easier across programming languages.
Depending on the application environment (data logging, data exchange, tabulated data), you can choose the appropriate format and use the corresponding method in your programming environment.
