How can I use streamlit to build a cryptocurrency tracking app?

3 answers

• Dec 31, 2021 · 3 years ago
  Sure! Here's a step-by-step guide on how to use streamlit to build a cryptocurrency tracking app: 1. Install streamlit by running 'pip install streamlit' in your command prompt. 2. Create a new Python file and import the necessary libraries, such as pandas and matplotlib. 3. Use the streamlit library to create a basic user interface for your app. You can add input fields for the user to enter the cryptocurrency they want to track and select the time frame. 4. Use an API to fetch real-time cryptocurrency data. There are several APIs available, such as CoinGecko and CoinMarketCap. 5. Process the data and display it in a visually appealing way using charts and tables. 6. Add interactive features, such as allowing the user to sort and filter the data. 7. Deploy your app using streamlit's deployment options, such as sharing it on Streamlit Sharing or hosting it on a cloud platform. That's it! With these steps, you'll be able to build a cryptocurrency tracking app using streamlit.
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• Dec 31, 2021 · 3 years ago
  Absolutely! Building a cryptocurrency tracking app with streamlit is a great idea. Here's a simple guide to get you started: 1. Install streamlit by running 'pip install streamlit' in your command prompt. 2. Create a new Python file and import the necessary libraries, such as pandas and matplotlib. 3. Use streamlit to create a user-friendly interface for your app. You can add input fields for the user to enter the cryptocurrency they want to track and select the time frame. 4. Connect to a cryptocurrency API to fetch real-time data. There are many APIs available, such as CoinGecko and CoinMarketCap. 5. Process the data and display it in a visually appealing way using charts and graphs. 6. Add additional features, such as allowing the user to set price alerts or track multiple cryptocurrencies. 7. Deploy your app using streamlit's deployment options, such as sharing it on Streamlit Sharing or hosting it on a cloud platform. I hope this helps you get started on your cryptocurrency tracking app! Good luck!
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• Dec 31, 2021 · 3 years ago
  Sure! Here's a step-by-step guide on how to use streamlit to build a cryptocurrency tracking app: 1. Install streamlit by running 'pip install streamlit' in your command prompt. 2. Create a new Python file and import the necessary libraries, such as pandas and matplotlib. 3. Use the streamlit library to create a basic user interface for your app. You can add input fields for the user to enter the cryptocurrency they want to track and select the time frame. 4. Use an API to fetch real-time cryptocurrency data. There are several APIs available, such as CoinGecko and CoinMarketCap. 5. Process the data and display it in a visually appealing way using charts and tables. 6. Add interactive features, such as allowing the user to sort and filter the data. 7. Deploy your app using streamlit's deployment options, such as sharing it on Streamlit Sharing or hosting it on a cloud platform. That's it! With these steps, you'll be able to build a cryptocurrency tracking app using streamlit.
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