Python for Algorithmic Trading Cookbook Recipes for designing, building, and deploying algorithmic trading strategies


Free Download Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python
English | 2024 | ASIN: B0D46PGCXD | 631 pages | EPUB (True) | 18.13 MB
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment
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Polars Cookbook Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x


Free Download Polars Cookbook: Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x
English | 2024 | ASIN: B0CLRS4B8T | 594 pages | EPUB (True) | 31.60 MB
Leverage Polars, a lightning-fast DataFrame library, to transform your Python-based data science projects with efficient data wrangling and manipulation
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The Official Lore Olympus Cookbook (Lore Olympus)


Free Download The Official Lore Olympus Cookbook (Lore Olympus) by Rachel Smythe, Genn McMenemy, Diana Moutsopoulos
English | July 1st, 2025 | ISBN: 0593798236 | 224 pages | True EPUB | 138.38 MB
Feast like the gods with sixty food and drink recipes inspired by the world of Lore Olympus-with a foreword by Rachel Smythe, plus sumptuous illustrations and photographs throughout!
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Craveable All I Want to Eat [A Cookbook]


Free Download Craveable: All I Want to Eat [A Cookbook] by Seema Pankhania
English | July 1st, 2025 | ISBN: 0593799925 | 256 pages | True EPUB | 94.28 MB
Satisfy every craving-salty or sweet, comforting or spicy-with over 80 mouthwatering, flavor-packed recipes from the social media superstar behind Seema Gets Baked on TikTok.
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The R Statistical Analysis Cookbook Practical Solutions for Data Insights


Free Download The R Statistical Analysis Cookbook: Practical Solutions for Data Insights
English | 2025 | ASIN: B0F5Z1QM5X | 406 pages | Epub | 238.40 KB
"The R Statistical Analysis Cookbook" is a practical guide designed to equip you with the tools and techniques to effectively analyze data and extract meaningful insights using R. This book takes a hands-on approach, providing a collection of ready-to-use "recipes" that address common statistical problems encountered in various fields.
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