"Exploring Quantum Computing & Python Frameworks What are the recent advances in the field of quantum computing and high-performance computing? And what Python tools can you use to develop programs that run on quantum computers? This week on the show, Real Python author Negar Vahid discusses her tutorial, "Quantum Computing Basics With Qiskit." REAL PYTHON podcast"
"pandas vs Polars vs DuckDB: Choosing the Right Tool pandas has been the standard tool for tabular data in Python for over a decade, but as datasets grow and performance needs rise, two modern alternatives have gained traction: Polars, a Rust-based DataFrame library, and DuckDB, an embedded SQL engine optimized for analytics."
"Semantic versioning (MAJOR.MINOR.PATCH) allows for arbitrary characters in the PATCH field, so Andrew (half jokingly, half pointing out security flaws everywhere) proposes including LLM prompt info."
Quantum computing resources and Python tools such as Qiskit provide tutorials for developing programs that run on quantum computers. Comparisons between pandas, Polars, and DuckDB highlight trade-offs: Polars is Rust-based, DuckDB is an embedded SQL engine optimized for analytics, and pandas remains the longstanding standard. Django 6.0 introduces template partials, email API updates, CSP support, and a built-in background tasks framework. Security and governance updates include PEP 811 acceptance and a PEP 815 draft to deprecate RECORD.jws and RECORD.p7s. Python 3.13.10 has been released.
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