When choosing Python tools, consider your team's specific needs and workflows. Focus on principles over current trends, aiming for efficiency and compatibility.
Avoid common pitfalls like adopting libraries based on popularity or hype. A thorough understanding of your project requirements is essential to make informed decisions.
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