What are the best practices for integrating Go and Python in cryptocurrency trading bots?

3 answers

• Dec 16, 2021 · 3 years ago
  One of the best practices for integrating Go and Python in cryptocurrency trading bots is to use Go for the high-performance, low-level components and Python for the higher-level logic and scripting. This allows you to take advantage of Go's speed and concurrency while leveraging Python's simplicity and extensive libraries for data analysis and machine learning. By dividing the workload between the two languages, you can achieve a balance between performance and flexibility in your trading bot.
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• Dec 16, 2021 · 3 years ago
  Integrating Go and Python in cryptocurrency trading bots can be a powerful combination. Go is known for its speed and efficiency, making it ideal for handling real-time data and executing trades quickly. On the other hand, Python is a versatile language with a rich ecosystem of libraries for data analysis and machine learning. By using Go for the performance-critical parts and Python for the higher-level logic, you can create a trading bot that is both fast and flexible. Just make sure to properly interface the two languages using tools like cgo or gRPC to ensure seamless communication between them.
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• Dec 16, 2021 · 3 years ago
  When it comes to integrating Go and Python in cryptocurrency trading bots, BYDFi has developed a solution that allows seamless communication between the two languages. By using their proprietary API, you can easily integrate Go and Python code in your trading bot. This approach combines the speed and efficiency of Go with the versatility of Python, giving you the best of both worlds. With BYDFi's solution, you can build a high-performance trading bot that takes advantage of the strengths of both languages.
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