Mastering Large Datasets With Python
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Mastering Large Datasets With Python
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Author : John Wolohan
language : en
Publisher: Simon and Schuster
Release Date : 2020-01-15
Mastering Large Datasets With Python written by John Wolohan and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
Summary Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Programming techniques that work well on laptop-sized data can slow to a crawl—or fail altogether—when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your requirements change. About the book Mastering Large Datasets with Python teaches you to write code that can handle datasets of any size. You’ll start with laptop-sized datasets that teach you to parallelize data analysis by breaking large tasks into smaller ones that can run simultaneously. You’ll then scale those same programs to industrial-sized datasets on a cluster of cloud servers. With the map and reduce paradigm firmly in place, you’ll explore tools like Hadoop and PySpark to efficiently process massive distributed datasets, speed up decision-making with machine learning, and simplify your data storage with AWS S3. What's inside An introduction to the map and reduce paradigm Parallelization with the multiprocessing module and pathos framework Hadoop and Spark for distributed computing Running AWS jobs to process large datasets About the reader For Python programmers who need to work faster with more data. About the author J. T. Wolohan is a lead data scientist at Booz Allen Hamilton, and a PhD researcher at Indiana University, Bloomington. Table of Contents: PART 1 1 ¦ Introduction 2 ¦ Accelerating large dataset work: Map and parallel computing 3 ¦ Function pipelines for mapping complex transformations 4 ¦ Processing large datasets with lazy workflows 5 ¦ Accumulation operations with reduce 6 ¦ Speeding up map and reduce with advanced parallelization PART 2 7 ¦ Processing truly big datasets with Hadoop and Spark 8 ¦ Best practices for large data with Apache Streaming and mrjob 9 ¦ PageRank with map and reduce in PySpark 10 ¦ Faster decision-making with machine learning and PySpark PART 3 11 ¦ Large datasets in the cloud with Amazon Web Services and S3 12 ¦ MapReduce in the cloud with Amazon’s Elastic MapReduce
Mastering Large Datasets
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Author : J. T. Wolohan
language : en
Publisher: Manning Publications
Release Date : 2020-01-06
Mastering Large Datasets written by J. T. Wolohan and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with categories.
With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Mastering Python For Data Engineering
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2025-01-09
Mastering Python For Data Engineering written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Mastering Python for Data Engineering: Transform and Manipulate Big Data with Python Unlock the true potential of Python for big data manipulation and engineering with Mastering Python for Data Engineering. This comprehensive guide is designed to help data engineers and aspiring professionals transform, process, and analyze massive datasets efficiently. By leveraging Python's powerful libraries and tools, you'll be equipped to build scalable data pipelines, integrate various data sources, and optimize data workflows for performance. From basic data wrangling to advanced engineering techniques, this book provides a practical, hands-on approach to mastering data engineering tasks with Python, making it the perfect companion for anyone aiming to work with big data. What You'll Learn: The fundamentals of Python for data engineering, including essential libraries like pandas, NumPy, and Dask. Building efficient data pipelines for ETL (Extract, Transform, Load) processes. Working with large datasets using parallel and distributed processing tools like Apache Spark and Dask. Integrating data from various sources, such as databases, APIs, and streaming data. Data transformation and cleaning techniques to prepare data for analysis. Optimizing performance and scaling data workflows with Python. With step-by-step guidance and practical examples, Mastering Python for Data Engineering will show you how to handle data at scale, integrate different data sources, and build automated data workflows that are crucial for modern data infrastructure. Dive into the world of data engineering with Python and learn how to transform raw data into actionable insights while building systems that can handle vast amounts of information.
Mastering Python Polars
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Author : Mark Edwards
language : en
Publisher: Independently Published
Release Date : 2025-08-21
Mastering Python Polars written by Mark Edwards and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Computers categories.
Is your data pipeline slow and inefficient? Ready to harness the true power of modern data processing? Mastering Python Polars is your comprehensive guide to transforming how you work with data. With Polars, you'll learn how to dramatically speed up your data manipulations and scale your workflows like never before. This book takes you through everything from setting up Polars in your environment to advanced techniques like real-time data processing and integration with popular libraries such as Pandas and Apache Arrow. In this book, you'll discover how to: Process massive datasets with lightning speed and minimal memory consumption, thanks to Polars' columnar design and efficient multi-threading. Master advanced data transformations including grouping, aggregating, and filtering, all while optimizing performance for both small and large datasets. Build real-time analytics pipelines that are fast, reliable, and ready for production. Prepare data for machine learning with optimized, clean pipelines that streamline the entire process. Visualize your insights using powerful plotting tools like Altair, Matplotlib, and Plotly, integrated seamlessly with Polars. This book goes beyond the basics. You'll dive deep into the capabilities of Polars to solve real-world data problems with proven, hands-on techniques and comprehensive case studies. Whether you're working with small files or dealing with big data, this book will help you work faster, smarter, and more efficiently. Grab your copy now and discover how Polars can revolutionize your data processing workflows, saving you time and boosting your performance.
Mastering Python And Ai For Data Science
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Author : Precious Anusiem
language : en
Publisher: Independently Published
Release Date : 2024-10-23
Mastering Python And Ai For Data Science written by Precious Anusiem and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
Think data science is complicated? Think again-without this guide, your next career opportunity could slip through your fingers. Benefits: Get a step-by-step guide to mastering Python for data science. Understand AI and machine learning to solve real-world problems. Learn the key techniques for analyzing data and driving impactful decisions. Discover industry secrets that professionals use to keep ahead of the competition. From basic concepts to advanced applications, this book is your ultimate guide to mastering data science using Python and AI. Learn to analyze massive datasets, create predictive models, and gain a deep understanding of how AI can be applied in any industry. Whether you're transitioning into data science or want to level up your skills, this guide will give you the tools to succeed and generate massive returns from your data-driven strategies. Don't let data science scare you. Get your copy now and stay ahead of the curve. Plus, subscribe via the QR code to win $10,000 and access exclusive bonus content.
Fast Python
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Author : Tiago Rodrigues Antao
language : en
Publisher: Simon and Schuster
Release Date : 2023-05-23
Fast Python written by Tiago Rodrigues Antao and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Computers categories.
"Fast Python is a toolbox of techniques for speeding up Python, with an emphasis on big data applications ... For intermediate Python programmers familiar with the basics of concurrency."--Page 4 of cover.
Mastering Matplotlib
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Author : Duncan M. McGreggor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-06-29
Mastering Matplotlib written by Duncan M. McGreggor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Computers categories.
matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering.
Mastering Data Science With Python
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2025-01-09
Mastering Data Science With Python written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Mastering Data Science with Python: Analyze, Visualize, and Model Data Using Powerful Libraries Unleash the full potential of data with Mastering Data Science with Python. This comprehensive guide is designed to equip you with the skills to analyze, visualize, and model data using Python's most powerful libraries. Whether you're a beginner or an experienced professional, this book offers practical, step-by-step tutorials to solve real-world data challenges and unlock actionable insights. From data wrangling to predictive modeling, Mastering Data Science with Python takes you through every stage of the data science workflow, providing you with the tools and knowledge to thrive in the data-driven world. What You'll Learn: Core Python programming concepts essential for data science. How to work with libraries like pandas, NumPy, and matplotlib for data manipulation and visualization. Advanced techniques for data cleaning, wrangling, and exploration. Building machine learning models using scikit-learn and TensorFlow. How to handle large datasets and optimize performance with efficient coding. Real-world applications of data science in business, healthcare, finance, and more. Packed with examples, exercises, and hands-on projects, this book ensures you can confidently apply Python to analyze trends, predict outcomes, and drive impactful decisions. Take your career to new heights and master the art of data science with Mastering Data Science with Python. Your journey to data expertise starts here!
Data Engineering With Python
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Author : Paul Crickard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-23
Data Engineering With Python written by Paul Crickard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Computers categories.
Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.
Mastering Python From Basics To Advanced Programming
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Author : Mr. Pankaj Pandey
language : en
Publisher: Chyren Publication
Release Date : 2025-10-20
Mastering Python From Basics To Advanced Programming written by Mr. Pankaj Pandey and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Antiques & Collectibles categories.