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Artículo: AMZ-B0GCGT6782
NumPy + Matplotlib + SciPy Python Library workbook Drills
Format:
Paperback
Detalles del producto
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En stock
En stock
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0.32 kg
0.32 kg
Devolución
Si
Si
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Master NumPy, Matplotlib, and SciPy with This Hands-On Python Workbook – Over 100 Practical Drills to Build Real Skills! Unlock the power of Python's essential scientific libraries and transform from beginner to confident practitioner in data visualization, numerical computing, and scientific analysis. In NumPy + Matplotlib + SciPy Python Library Workbook Drills, you'll dive straight into actionable learning with three dedicated 30-day mastery plans – one for each library. This isn't just theory: it's a drill-based workbook packed with over 100 targeted exercises, daily code examples, mini-projects, and final challenges designed to build "muscle memory" through repetition and progressive difficulty. What You'll Master:Matplotlib: From basic line plots and subplots to advanced heatmaps, 3D visualizations, animations, and portfolio-ready charts. Create stunning visuals like scatter plots, histograms, and time series dashboardsNumPy: Array creation, indexing, broadcasting, mathematical operations, random simulations, and performance optimization. Handle large datasets efficiently with vectorized operations.SciPy: Statistics, optimization, signal processing, interpolation, sparse matrices, and real-world simulations like curve fitting and Fourier transforms. Perfect for self-learners, data analysts, scientists, and students who want practical skills over dense theory. Each day introduces key concepts with clear explanations and code snippets, followed by drills that reinforce learning – from simple setups to complex integrations across libraries. Build real-world projects like data dashboards, numerical solvers, and statistical models. By the end, you'll confidently analyze datasets, create professional visualizations, and apply scientific computing techniques. Why This Workbook Stands Out:Structured 30-day plans for steady progressHands-on focus: Code every day, no fluffBeginner-friendly yet advances to intermediate masteryIdeal companion for data science, machine learning, or engineering paths Start mastering Python's powerhouse libraries today – grab this workbook and turn knowledge into skills!
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