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Author: Abhinaba Banerjee Publisher: Orange Education Pvt Ltd ISBN: 8197081913 Category : Computers Languages : en Pages : 283
Book Description
Test your Data Analysis skills to its fullest using Python and other no-code tools KEY FEATURES ● Comprehensive coverage of Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, Julius AI for data acquisition, preparation, analysis, and visualization ● Real-world projects and practical applications for hands-on learning ● In-depth exploration of low-code and no-code tools for enhanced productivity DESCRIPTION Ultimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets. Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more. By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax. WHAT WILL YOU LEARN ● Acquire data from various sources using Python, including web scraping, APIs, and databases. ● Clean and prepare datasets for analysis, handling missing values, outliers, and inconsistencies. ● Conduct exploratory data analysis to uncover patterns, trends, and relationships within your data. ● Perform statistical analysis using Python libraries such as NumPy and Pandas, including hypothesis testing and regression analysis. ● Master time series analysis techniques for forecasting future trends and making data-driven decisions. ● Apply signal processing methods to analyze and interpret signals in data, such as audio, image, and sensor data. ● Engage in real-world projects across diverse industries, from finance to healthcare, to reinforce your skills and experience. ● Utilize Python for in-depth analysis of real-world datasets, gaining practical experience and insights. ● Refer to the Python cheat sheet in the appendix for quick access to common functions and syntax, aiding your learning and development. WHO IS THIS BOOK FOR? This book is ideal for beginners, professionals, or students aiming to enhance their careers through hands-on experience in data acquisition, preparation, analysis, time series, and signal processing. Prerequisite knowledge includes basic Python and introductory statistics. Whether starting fresh or seeking to refresh skills, this comprehensive guide helps readers upskill effectively. TABLE OF CONTENTS 1. Introduction to Data Analysis and Data Visualization using Python 2. Data Acquisition 3. Data Cleaning and Preparation 4. Exploratory Data Analysis 5. Statistical Analysis 6. Time Series Analysis and Forecasting 7. Signal Processing 8. Analyzing Real-World Data Sets using Python APPENDIX A Python Cheat Sheet Index
Author: Abhinaba Banerjee Publisher: Orange Education Pvt Ltd ISBN: 8197081913 Category : Computers Languages : en Pages : 283
Book Description
Test your Data Analysis skills to its fullest using Python and other no-code tools KEY FEATURES ● Comprehensive coverage of Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, Julius AI for data acquisition, preparation, analysis, and visualization ● Real-world projects and practical applications for hands-on learning ● In-depth exploration of low-code and no-code tools for enhanced productivity DESCRIPTION Ultimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets. Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more. By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax. WHAT WILL YOU LEARN ● Acquire data from various sources using Python, including web scraping, APIs, and databases. ● Clean and prepare datasets for analysis, handling missing values, outliers, and inconsistencies. ● Conduct exploratory data analysis to uncover patterns, trends, and relationships within your data. ● Perform statistical analysis using Python libraries such as NumPy and Pandas, including hypothesis testing and regression analysis. ● Master time series analysis techniques for forecasting future trends and making data-driven decisions. ● Apply signal processing methods to analyze and interpret signals in data, such as audio, image, and sensor data. ● Engage in real-world projects across diverse industries, from finance to healthcare, to reinforce your skills and experience. ● Utilize Python for in-depth analysis of real-world datasets, gaining practical experience and insights. ● Refer to the Python cheat sheet in the appendix for quick access to common functions and syntax, aiding your learning and development. WHO IS THIS BOOK FOR? This book is ideal for beginners, professionals, or students aiming to enhance their careers through hands-on experience in data acquisition, preparation, analysis, time series, and signal processing. Prerequisite knowledge includes basic Python and introductory statistics. Whether starting fresh or seeking to refresh skills, this comprehensive guide helps readers upskill effectively. TABLE OF CONTENTS 1. Introduction to Data Analysis and Data Visualization using Python 2. Data Acquisition 3. Data Cleaning and Preparation 4. Exploratory Data Analysis 5. Statistical Analysis 6. Time Series Analysis and Forecasting 7. Signal Processing 8. Analyzing Real-World Data Sets using Python APPENDIX A Python Cheat Sheet Index
Author: Hideyuki Kikuchi Publisher: Dark Horse Comics ISBN: 1621154904 Category : Comics & Graphic Novels Languages : en Pages : 168
Book Description
When a floating city becomes the target of a rash of vampire attacks, only one man can restore the oasis. "The City," a tiny metropolis of a few hundred sheltered citizens floating serenely on a seemingly random course a few feet above the ground, has long been thought safe from the predation of marauding monsters. It seemed like a paradise. A paradise shattered when an invasion of apparent vampires threatens the small haven. While the Vampire Hunter known only as "D" struggles to exterminate the scourge, a former denizen of the city, the attractive Raleigh Knight, and the brash John M. Brassalli Pluto VIII seize control of the city lurching it onto a new and deadly course. D's travails are just beginning. FOR MATURE READERS
Author: Geoffrey Chaucer Publisher: Boydell & Brewer Ltd ISBN: 0859913090 Category : Literary Criticism Languages : en Pages : 286
Book Description
This collection of 32 modernised versions of The Canterbury Tales which appeared in the 18th century offers basic material for studying the history of attitudes to Chaucer, and Chaucer scholarship, duringthe period. Reception data so precise and extensive is available only for Chaucer among English authors. At least seventeen known and anonymous writers produced thirty-two modernised Canterbury tales during the century, plus tale links and adaptations of each other's work. The present collection contains only modernisations that have not seen print since 1796, thus excluding those by Pope and Dryden. Although most works in this collection may be examined further in several British and American libraries, others cannot. Apparently only one copy has survived of an anonymous Miller's Tale (1791) with a thoughtful preface justifying the tale's overt sexuality published just as William Lipscomb was completing his 1795 edition that, in its preface, justifies exclusion from the pilgrimage of the notorious tales of Miller and Reeve. Such contrasting attitudes illustrate the dangers of generalisation about the usual reception or interpretation of Chaucer during this or any other socio-historic period; instead, the collection provides an untapped reservoir of material with which to investigate anew the rich complexity of his poetry and its enduring appeal. BETSY BOWDEN is Professor of English at Rutgers University, New Jersey.
Author: Abhinaba Banerjee
Author: Abhinaba Banerjee
Author: Hideyuki Kikuchi
Author: 
Author: William Nicolson
Author: Hannah More
Author: George Crabbe
Author: Tales
Author: Hannah More
Author: Geoffrey Chaucer
Author: Consort of Henry II Queen Marguerite