TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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Pandas Cheat Sheet: 20 Operations CSV to Insights
Master 20 essential Pandas operations from CSV loading to insights. Complete guide with code examples for data analysis workflows.
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LSTM vs Transformer: S&P 500 1-Year Benchmark Results
LSTM vs Transformer showdown: 1-year S&P 500 predictions reveal surprising accuracy gaps. Which architecture wins for financial forecasting?
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Bubble Sort to Timsort: Why Python Ditched O(nยฒ)
Python's sorted() uses Timsort, not the bubble sort from textbooks. Here's the 85x speed gap, stability trade-offs, and when O(nยฒ) beats O(n log n).
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RAG vs Fine-Tuning vs Hybrid: Cost-Performance for 3 Use Cases
Compare RAG vs Fine-Tuning vs Hybrid approaches for Q&A, summarization, and code generation. See which method wins on cost and performance.
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NumPy Vectorization Cuts Cointegration Test Time by 8x
Nested loops in cointegration tests killed my backtest speed. NumPy matrix ops cut 47 seconds to 5.8 seconds โ here's the exact vectorization pattern.
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Claude Code CLI vs API: Real Cost at 50K Lines/Month
CLI subscription vs API: real cost breakdown at 50K lines/month. One saves $139, the other wins on CI. Math inside.
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Cloud GPU Cost Showdown: ViT Training on AWS vs GCP vs Azure
I trained ViT-B/16 on AWS, GCP, and Azure. The cost gap? 3.75x. Spot instances cut $740 but preemptions add friction โ here's the breakdown.
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PPO vs A2C: CartPole Training Speed & Sample Efficiency
Compare PPO vs A2C on CartPole: which algorithm trains faster and uses samples more efficiently? Benchmark results reveal a clear winner.