Author(s): MicroBioscopicData

Originally published on Towards AI.

Cryptocurrency Analysis with Python:

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Errors and exceptions can cause a program to behave unexpectedly or even stop it. Python offers a range of functions and mechanisms to address/handle these issues and enhance the reliability of our code. In this tutorial, we will explore error-handling concepts and demonstrate them with various examples.

I have prepared a Jupyter Notebook to accompany this blog post, which can be viewed on my GitHub.

1 Errors and Exceptions2 Handling Exceptions2.1 Handling Multiple Exceptions2.2 Using else2.3 Using finally2.4 Using (limited number of) retries3 Conclusion4 References

MicroBioscopicData

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An error signifies a problem… Read the full blog for free on Medium.

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Published via Towards AI