Regular maintenance of Postgres is essential for ensuring optimum performance of Python applications. Key aspects include monitoring for slow queries, maintaining indexes, and running autovacuum. A phishing attack targeting PyPI users has emerged, warning about a counterfeit site impersonating PyPI. Additionally, insights are shared regarding the use of Nested Functions in Python to enhance code organization. The article also covers the use of bitwise operators for detailed data manipulation. Other key updates include recent releases like Mypy 1.17 and PEP proposals 798 and 799 regarding Python profiling tools.
Postgres maintenance is crucial to avoid performance regressions in Python applications. It includes monitoring, early detection of slow queries, and ensuring proper indexing and autovacuum.
Usage of Nested Functions in Python allows defining functions within other functions, which can lead to cleaner code structure and encapsulation of functionality.
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