InfluxDB is a time-series database that can be used with the Python client library. Improving write performance is crucial for large-scale data import and transfer. Common pitfalls include generating random data during execution, which can lead to slow timing of individual parts of the program. The `time.perf_counter()` function provides high-resolution timing, allowing developers to measure the performance of writing data. Favoring Line Protocol over JSON can also improve write performance by avoiding unnecessary conversions. Additionally, batching points in batches of 5,000-10,000 points is crucial for minimizing network overhead and achieving optimal performance. By following these best practices, Python developers can optimize their InfluxDB write performance and ensure efficient data transfer.