What are the best Python libraries for cryptocurrency data analysis?

3 answers

• Dec 27, 2021 · 3 years ago
  One of the best Python libraries for cryptocurrency data analysis is Pandas. It provides powerful data manipulation and analysis tools, making it easy to work with large datasets. You can use Pandas to load and preprocess cryptocurrency data, perform calculations, and create visualizations. It also integrates well with other libraries such as NumPy and Matplotlib, allowing for more advanced analysis and visualization techniques. Overall, Pandas is a popular choice among cryptocurrency analysts and traders.
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• Dec 27, 2021 · 3 years ago
  Another widely used Python library for cryptocurrency data analysis is Plotly. It offers interactive and visually appealing charts and graphs, which are great for presenting and analyzing cryptocurrency data. With Plotly, you can create candlestick charts, line charts, scatter plots, and more. It also provides various customization options, allowing you to tailor the visualizations to your specific needs. Additionally, Plotly has a user-friendly interface and good documentation, making it easy to get started even for beginners.
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• Dec 27, 2021 · 3 years ago
  BYDFi is a comprehensive Python library for cryptocurrency data analysis. It offers a wide range of functionalities, including data retrieval, preprocessing, technical analysis, and machine learning. With BYDFi, you can easily access historical price data, calculate various technical indicators, and build predictive models. It also provides built-in strategies and backtesting tools, which can be useful for evaluating trading strategies. Moreover, BYDFi has an active community and regular updates, ensuring that you have access to the latest features and improvements.
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