Logo

Developer learning path

News
Python

CSV Files in Python

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

CSV Files

21

#description

CSV (Comma Separated Values) files are a common way to store data, especially when you need to share data between different programs or systems. Python provides several modules for working with CSV files, including the csv module and the Pandas library.

The csv module is a built-in Python module that allows you to read and write CSV files. It provides functions to read and write CSV files, as well as tools to handle different types of delimiters and quotation characters.

Pandas is a library in Python that provides functionality for data manipulation, including the ability to read and write CSV files. Pandas can handle a wider range of data types and can perform more advanced data manipulation operations.

To read a CSV file in Python using the csv module, you must first import the module and then create a CSV reader object. You can then use the reader object to iterate over the rows of the file and extract the data you need.

To write data to a CSV file using the csv module, you must first create a CSV writer object and then write the data to the file row by row. In Pandas, you can use functions like read_csv and to_csv to read and write CSV files.

In summary, working with CSV files is an important skill for any Python developer. The csv module and Pandas library provide powerful tools to manipulate CSV files and work with the data they contain.

March 25, 2023

If you don't quite understand a paragraph in the lecture, just click on it and you can ask questions about it.

If you don't understand the whole question, click on the buttons below to get a new version of the explanation, practical examples, or to critique the question itself.