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SKU/Artículo: AMZ-B0G7B7H8VF
Hands-On Python Data Wrangling: pandas, NumPy, and Jupyter for Actionable Insights
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.86 kg
0.86 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Dive into the world of data wrangling with Hands-On Python Data Wrangling: pandas, NumPy, and Jupyter for Actionable Insights—the ultimate practical guide for transforming raw data into powerful, actionable intelligence.In today's data-driven landscape, the ability to efficiently clean, manipulate, and analyze data is an essential skill for analysts, data scientists, developers, and business professionals. This hands-on book equips you with the core tools of the Python data ecosystem: pandas for flexible data manipulation, NumPy for high-performance numerical computing, and Jupyter notebooks for interactive exploration and visualization.Whether you're a beginner transitioning from Excel or spreadsheets, or an experienced programmer seeking to master data workflows in Python, this book takes you from fundamentals to advanced techniques through real-world examples and step-by-step projects. You'll learn how to:Load and explore diverse data sources, including CSV, Excel, JSON, databases, and APIsClean messy datasets: handle missing values, duplicates, outliers, and inconsistent formatsReshape and transform data with merging, pivoting, grouping, and aggregationPerform efficient vectorized operations with NumPy arrays for speed and scalabilityConduct exploratory data analysis (EDA) to uncover patterns, trends, and correlationsVisualize insights using matplotlib, seaborn, and built-in pandas plottingWork interactively in Jupyter notebooks for reproducible research and rapid prototypingTackle time series data, categorical variables, and large-scale datasetsApply best practices for performance optimization and pipeline automationPacked with practical case studies—from financial data analysis and sales forecasting to social media sentiment and scientific computing—this book emphasizes real-world applications over theory. Each chapter includes exercises, code snippets, and downloadable datasets to reinforce your learning.By the end, you'll confidently wrangle complex data into clean, insightful formats, enabling better decision-making and unlocking opportunities in data science, machine learning, business intelligence, and beyond. No prior Python experience required—start turning data chaos into clarity today!
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U$S 31,92
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