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Working With CSV file and Python Streamlit Web Application

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Hello everyone!
Welcome to this tutorial where I’ll walk you through how to work with CSV files in Python. We’ll cover essential operations such as creating, reading, and writing data to CSV files. Moreover, I’ll demonstrate how to display the data on a Streamlit web application.
To help you further, I’ve prepared a comprehensive PDF guide that explains:
How to use the CSV module and Pandas library for CSV file manipulation.
A detailed explanation of file modes and how they apply when working with files.
Full access to the source code used in this tutorial.
By the end of this tutorial, you’ll have a solid understanding of how to handle CSV files efficiently and showcase your data through a web app. Let’s get started! 🚀
𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
If you want to support this channel, you can buy me a coffee here:
If you find this video helpful, don’t forget to like, comment, and subscribe for more tutorials like this. Feel free to check out my playlist for additional Streamlit Python tips! 👍
Welcome to this tutorial where I’ll walk you through how to work with CSV files in Python. We’ll cover essential operations such as creating, reading, and writing data to CSV files. Moreover, I’ll demonstrate how to display the data on a Streamlit web application.
To help you further, I’ve prepared a comprehensive PDF guide that explains:
How to use the CSV module and Pandas library for CSV file manipulation.
A detailed explanation of file modes and how they apply when working with files.
Full access to the source code used in this tutorial.
By the end of this tutorial, you’ll have a solid understanding of how to handle CSV files efficiently and showcase your data through a web app. Let’s get started! 🚀
𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
If you want to support this channel, you can buy me a coffee here:
If you find this video helpful, don’t forget to like, comment, and subscribe for more tutorials like this. Feel free to check out my playlist for additional Streamlit Python tips! 👍