- Pandas: apply, map or transform?A guide to Pandas' most versatile function
- 27001Murphy ≡ DeepGuide
- When Milliseconds Matter - My Journey to Performance ImprovementWorking under a strict SLA, where milliseconds matter, while maintaining a complex system with multiple dependencies – can expose us to many challenges and non-trivial investigations when latency-related issues occur. In this article, I will walk yo
- 20553Murphy ≡ DeepGuide
- Building Comprehension Pipelines in PythonComprehension pipelines are a Python-specific idea for building pipelines
- 25651Murphy ≡ DeepGuide
- Analyze performance when aggregating data in Power BI and DAX QueriesWe aggregate data in Power BI all the time. Here I show you how to write queries in DAX to summarize columns to aggregate data
- 26704Murphy ≡ DeepGuide
- PyTorch Model Performance Analysis and Optimization – Part 3How to Reduce "Cuda Memcpy Async" Events and Why You Should Beware of Boolean Mask Operations
- 26624Murphy ≡ DeepGuide
- Make Python Faster by Caching Functions: MemoizationThe article discusses memoization using the Python standard library. The functools.lru_cache decorator makes this so simple!
- 24076Murphy ≡ DeepGuide
- High-Performance Data Processing: pandas 2 vs. Polars, a vCPU PerspectivePolars promises its multithreading capabilities outperform pandas. But is it also the case with a single vCore?
- 28176Murphy ≡ DeepGuide
- Pandas Columns: Bracket Indexing (df[‘x']) Versus Dot Syntax (df.x)Does it matter how you do it? Maybe one is faster than the other?
- 28027Murphy ≡ DeepGuide
- Optimizing Pandas Code: The Impact of Operation SequenceLearn how to rearrange your code to achieve significant speed improvements.
- 21306Murphy ≡ DeepGuide
- Maximizing AI Efficiency in Production with Caching: A Cost-Efficient Performance BoosterUnlock the Power of Caching to Scale AI Solutions with LangChain Caching Comprehensive Overview
- 21256Murphy ≡ DeepGuide
- Voyage Multilingual 2 Embedding EvaluationCompared to OpenAI, Cohere, Google, and E5
- 26788Murphy ≡ DeepGuide
- Python's Parallel Paradigm ShiftExploring the performance potential of a GIL-free Python
- 28400Murphy ≡ DeepGuide
- Dynamic ExecutionGetting your AI task to distinguish between Hard and Easy problems
- 27418Murphy ≡ DeepGuide
- Measuring The Execution Times of C Versus RustIs C is faster than Rust? I had always assumed the answer to that question to be yes, but I recently felt the need to test my assumptions.
- 21980Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag
