Exploding Data
Download Exploding Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Exploding Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Exploding Data
A powerful argument for new laws and policies regarding cyber-security, from the former US Secretary of Homeland Security. The most dangerous threat we-individually and as a society-face today is no longer military, but rather the increasingly pervasive exposure of our personal information; nothing undermines our freedom more than losing control of information about ourselves. And yet, as daily events underscore, we are ever more vulnerable to cyber-attack. In this bracing book, Michael Chertoff makes clear that our laws and policies surrounding the protection of personal information, written for an earlier time, need to be completely overhauled in the Internet era. On the one hand, the collection of data-more widespread by business than by government, and impossible to stop-should be facilitated as an ultimate protection for society. On the other, standards under which information can be inspected, analysed or used must be significantly tightened. In offering his compelling call for action, Chertoff argues that what is at stake is not only the simple loss of privacy, which is almost impossible to protect, but also that of individual autonomy-the ability to make personal choices free of manipulation or coercion. Offering colourful stories over many decades that illuminate the three periods of data gathering we have experienced, Chertoff explains the complex legalities surrounding issues of data collection and dissemination today and charts a forceful new strategy that balances the needs of government, business and individuals alike.
Learning Values Lifelong
This book declares that lifelong learning teaches values and wholeness and rejects inert ideas or fragmentation. Education plays a vital role in reorganizing and revitalizing the abundant facts from the information explosion. Specialization works at cross-purposes with liberal arts education, which discloses a holistic vision of each person’s being.
Ultimate Pandas for Data Manipulation and Visualization
Author: Tahera Firdose
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2024-06-10
TAGLINE Unlock the power of Data Manipulation with Pandas. KEY FEATURES ● Master Pandas from basics to advanced and its data manipulation techniques. ● Visualize data effectively with Matplotlib and explore data efficiently. ● Learn through hands-on examples and practical real-world use cases. DESCRIPTION Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. WHAT WILL YOU LEARN ● Wrangle data efficiently using Pandas' cleaning, filtering, and transformation techniques. ● Unlock hidden patterns with advanced grouping, joining, and merging operations. ● Master time series analysis with Pandas to extract valuable insights from your data. ● Apply Pandas to real-world scenarios like customer churn analysis and financial modeling. ● Unleash the power of data visualization with Matplotlib and craft compelling charts and graphs. ● Enhance your workflow with essential Pandas optimizations and performance tips. WHO IS THIS BOOK FOR? This book is ideal for aspiring data scientists, analysts, and Python enthusiasts looking to enhance their data manipulation skills using Pandas. Familiarity with Python programming basics and a basic understanding of data structures will greatly benefit readers as they delve into the concepts presented in this book. TABLE OF CONTENTS 1. Introduction to Pandas and Data Analysis 2. Pandas Series 3. Pandas DataFrame 4. Data Cleaning with Pandas 5. Data Filtering with Pandas 6. Grouping and Aggregating Data 7. Reshaping and Pivoting in Pandas 8. Joining and Merging Data in Pandas 9. Introduction to Time Series Analysis in Pandas 10. Visualization Using Matplotlib 11. Analyzing Bank Customer Churn Using Pandas Index