python big data analytics (27 résultats)

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 124 | Sprache: Englisch | Produktart: Bücher.

Etat : Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 122 | Sprache: Englisch | Produktart: Bücher.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 122 | Sprache: Englisch | Produktart: Bücher.

Etat : New. In.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In.

Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - Python for Big Data and Analytics: Harness the Power of Python for Processing and Analyzing Large Data Sets.

Etat : Good. Used book that is in clean, average condition without any missing pages.

Paperback. Etat : 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Etat : New. New paperback. An unread/unopened copy. May have VERY minor rubbing and scuffing from shelf wear.; 100% Satisfaction Guaranteed! Ships same or next business day!

Paperback. Etat : new. Paperback. Reactive PublishingIn Big Data Analytics with Python: Practical Applications for Business, Dr. Lucas Arden delivers a real-world guide for professionals seeking to harness Python's capabilities for data-driven decision-making. Whether you're a business analyst, data scientist, or entrepreneur, this book equips you with practical tools to extract value from complex datasets using Python's most powerful libraries - including Pandas, NumPy, Scikit-learn, and PySpark.Through step-by-step walkthroughs, hands-on coding examples, and real business use cases, you'll learn how to: Clean, transform, and visualize large datasetsApply machine learning to uncover trends and patternsBuild predictive models to optimize decision-makingIntegrate analytics into your business pipelineSolve real business problems with automation and scaleDesigned for practical application, this guide doesn't just teach you how to code - it teaches you how to think in data. Whether you're scaling a startup or navigating a Fortune 500 enterprise, the skills inside will give you a competitive edge in today's data-driven economy.Turn raw data into revenue - with Python. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.74.

Etat : New.

Paperback. Etat : 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.

Etat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Etat : New.

hardcover. Etat : New. New. book.

Etat : New. Print on Demand.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 168.

Etat : New. Print on Demand.

Etat : New. Print on Demand.

paperback. Etat : New. Paperback. Pub Date: 2020-06-01 Pages: 392 Publisher: Machinery Industry Press. big data analytics and machine learning technology has become a key driving force of all walks of life to achieve digital change. The book is powerful and more approachable for the Python programming language environment. a comprehensive account of large commercial real application data analysis and machine learning techniques. The book is 16 .

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.