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Paperback. Zustand: new. Paperback. Python for Big Data and Analytics: Harness the Power of Python for Processing and Analyzing Large Data SetsUnlock the power of Python for big data with Python for Big Data and Analytics. Designed for data scientists, analysts, and IT professionals, this comprehensive guide takes you step-by-step through the tools, techniques, and best practices for processing and analyzing massive datasets. Whether you're working with structured data, unstructured data, or real-time streams, this book provides the knowledge and practical examples you need to master big data analytics with Python.From foundational concepts to advanced techniques, Python for Big Data and Analytics equips you with the skills to transform raw data into actionable insights.What You'll Learn: Getting Started with Python for Big Data: Understand why Python is the ideal language for big data analytics and set up your development environment.Data Wrangling and Cleaning: Use libraries like pandas and NumPy to clean, transform, and preprocess large datasets efficiently.Big Data Frameworks: Leverage tools like PySpark, Dask, and Ray to process and analyze massive datasets in parallel.Real-Time Data Processing: Work with streaming data using libraries like Apache Kafka and Python-based tools.Exploratory Data Analysis (EDA): Visualize patterns and trends in big datasets with Matplotlib, Seaborn, and Plotly.Machine Learning for Big Data: Build predictive models using scikit-learn, TensorFlow, and PyTorch to analyze and interpret large datasets.Database Integration: Connect Python to big data storage systems like Hadoop, MongoDB, and Amazon Redshift.Cloud Computing for Big Data: Deploy and scale Python-based analytics solutions on AWS, Google Cloud, and Azure.Handling Unstructured Data: Analyze text, images, and other unstructured data formats with libraries like NLTK, spaCy, and OpenCV.Time-Series Analysis: Perform advanced time-series analysis and forecasting on large-scale temporal data.Big Data Visualization: Create interactive dashboards and data visualizations using Bokeh and Dash.Optimizing Performance: Learn best practices for optimizing Python code and reducing memory consumption when working with large datasets.Real-World Applications: Solve real-world problems in industries like healthcare, finance, and e-commerce with practical big data projects.Security and Privacy in Big Data: Understand ethical considerations, data governance, and privacy issues in big data analytics.Who Is This Book For?This book is ideal for data professionals, Python programmers, and anyone looking to develop their expertise in big data analytics and processing.Why Choose This Book?With its focus on practical applications and hands-on projects, Python for Big Data and Analytics bridges the gap between theory and implementation, empowering you to tackle the challenges of big data analytics with confidence.Start harnessing the power of Python for big data today with Python for Big Data and Analytics: Harness the Power of Python for Processing and Analyzing Large Data Sets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Big Data Analytics with Python is a comprehensive guide to harnessing the power of Python for big data analytics. This book provides a thorough introduction to Python's libraries and frameworks for big data analytics, including NumPy, pandas, and scikit-learn. With its focus on real-world applications and case studies, Big Data Analytics with Python covers topics such as data ingestion, data processing, and data storage, as well as advanced techniques for data visualization and model deployment. Whether you're a data scientist, engineer, or analyst, this book offers a deep understanding of Python and its applications in big data analytics. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Mastering Big Data Analytics with Python offers a comprehensive guide to the art and science of big data analytics using Python. By examining the key principles and best practices underlying big data analytics, this book provides data scientists with a deeper understanding of how to extract insights and value from large datasets using Python. From the role of machine learning in big data analytics to the importance of data visualization, this book equips data scientists with the knowledge and tools necessary to navigate the complexities of big data analytics and drive business success. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The exponential growth of healthcare data has created a pressing need for effective analytics solutions. 'From Big Data to Better Healthcare - Analytics with Python' provides a hands-on guide to harnessing Python's power for healthcare data analysis. By mastering Python's libraries and tools, healthcare professionals can extract insights from complex data sets, identify trends, and make data-driven decisions. This book covers the fundamentals of data analysis, data visualization, and machine learning, with a focus on real-world healthcare applications. Whether you're a seasoned data scientist or a healthcare professional looking to upskill, 'From Big Data to Better Healthcare' offers a comprehensive introduction to Python-based analytics for healthcare. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.