Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.
Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key FeaturesUse the power of Pandas and Matplotlib to easily solve data mining issuesUnderstand the basics of statistics to build powerful predictive data modelsGrasp data mining concepts with helpful use-cases and examplesBook Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: Statistics for Machine Learning by Pratap DangetiMatplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin YimPandas Cookbook by Theodore PetrouWhat you will learnUnderstand the statistical fundamentals to build data modelsSplit data into independent groups Apply aggregations and transformations to each groupCreate impressive data visualizationsPrepare your data and design models Clean up data to ease data analysis and visualizationCreate insightful visualizations with Matplotlib and SeabornCustomize the model to suit your own predictive goalsWho this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.
While most abnormal psychology texts seem to aim solely for breadth, the acclaimed Oxford Textbook of Psychopathology aims for depth, with a focus on adult disorders and special attention given to the personality disorders. Almost a decade has passed since the first edition was published, establishing itself as an unparalleled guide for professionals and graduate students alike, and in this second edition, esteemed editors Paul H. Blaney and Theodore Millon have once again selected the most eminent researchers in abnormal psychology to cover all the major mental disorders, allowing them to discuss notable issues in the various pathologies which are their expertise. This collection exposes readers to exceptional scholarship, a history of psychopathology, the logic of the best approaches to current disorders, and an expert outlook on what future researchers and mental health professionals will be facing in the years to come. With extensive coverage of personality disorders and issues related to classification and differential diagnosis, this volume will be exceptionally useful for all mental health workers, clinical psychologists, psychiatrists, and social workers, and as a textbook focused on understanding psychopathology in depth, as well as a valuable guide for graduate psychology students and psychiatric residents.
Derived from the renowned multi-volume International Encyclopaedia of Laws, this very useful analysis of constitutional law in Greece provides essential information on the country’s sources of constitutional law, its form of government, and its administrative structure. Lawyers who handle transnational matters will appreciate the clarifications of particular terminology and its application. Throughout the book, the treatment emphasizes the specific points at which constitutional law affects the interpretation of legal rules and procedure. Thorough coverage by a local expert fully describes the political system, the historical background, the role of treaties, legislation, jurisprudence, and administrative regulations. The discussion of the form and structure of government outlines its legal status, the jurisdiction and workings of the central state organs, the subdivisions of the state, its decentralized authorities, and concepts of citizenship. Special issues include the legal position of aliens, foreign relations, taxing and spending powers, emergency laws, the power of the military, and the constitutional relationship between church and state. Details are presented in such a way that readers who are unfamiliar with specific terms and concepts in varying contexts will fully grasp their meaning and significance. Its succinct yet scholarly nature, as well as the practical quality of the information it provides, make this book a valuable time-saving tool for both practising and academic jurists. Lawyers representing parties with interests in Greece will welcome this guide, and academics and researchers will appreciate its value in the study of comparative constitutional law.
The future has attracted the interest of almost all scholars working on the history of Greek, but no satisfactory set of arguments for the developments prior to the emergence of the modern form has ever been produced. In this book Theodore Markopoulos explores and elucidates the stages that led up to the appearance of the modern future in the sixteenth century."--BOOK JACKET.
Case Studies in Public Health contains selected case studies of some of the most important and influential moments in medicine and epidemiology. The cases chosen for this collection represent a wide array of public health issues that go into the makeup of what can be termed the New Public Health (NPH), which includes traditional public health, such as sanitation, hygiene and infectious disease control, but widens its perspective to include the organization, financing and quality of health care services in a much broader sense. Each case study is presented in a systematic fashion to facilitate learning, with the case, background, current relevance, economic issues, ethical issues, conclusions, recommendation and references discussed for each case. The book is a valuable resource for advanced students and researchers with specialized knowledge who need further information on the general background and history of public health and important scientific discoveries within the field. It is an ideal resource for students in public health, epidemiology, medicine, anthropology, and sociology, and for those interested in how to apply lessons from the past to present and future research. - Explores the history of public health through important scientific events and flashpoints - Presents case studies in a clear, direct style that is easy to follow - Uses a systematic approach to help learn lessons from the past and apply them to the present
A Therapy for Dying Democracies By: Theodore C. Stathis The world economic crisis and the provocatively unjust distribution of wealth have exposed the real crisis, which is a political one. All the malfunctioning democracies that are gradually growing into oligarchic governments have become the main focus of many political experts. "Are Democracies Dying?" or "How Democracies Die" are a couple of titles belonging to corresponding books on democracy. Because of them, global interest in ancient Greek democracy has been significantly reinvigorated, and even though a lot of publications refer to it, they do not propose any functional and substantial solutions that keep up with the present; as a result, direct democracy is being rejected, not only by the enemies of this political system, but also by well-meaning prominent figures and public officials, who consider it as being nothing but a utopia. The book contains a remedy for our modern malfunctioning democracies, which suffer from a lack of democracy. Actually, the dying democracies, one by one, are removing their'' democratic masks'' and reveal their real identity, which is oligarchic in nature. A Therapy for Dying Democracies is a unique proposal and shows how the operational difficulties of ancient Greek democracy can be bypassed, and presents for the first time worldwide an effective way that shows how true democratic governments can be established today.
The second of a planned 10 volumes that will reprint all Sturgeon's short fiction covers his prolific output during 1940 and 1941, after which he suffered five years of writer's block. Showcasing Sturgeon's early penchant for fantasy, the first six selections include whimsical ghost stories, such as "Cargo," in which a World War II munitions freighter is commandeered by invisible, peace-loving fairies. With the publication of his enduring SF classic, "Microcosmic God," Sturgeon finally found his voice, combining literate, sharp-edged prose with fascinating speculative science while recounting the power struggle between a brilliant scientist, who creates his own miniature race of gadget makers, and his greedy banker. Voice found or not, every one of the stories here is readable and entertaining today because of Sturgeon's singular gifts for clever turns of phrase and compelling narrative. As Samuel R. Delaney emphasizes in an insightful introduction, Sturgeon was the single most influential SF writer from the 1940s through the 1960s.
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.
Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.
Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key FeaturesUse the power of Pandas and Matplotlib to easily solve data mining issuesUnderstand the basics of statistics to build powerful predictive data modelsGrasp data mining concepts with helpful use-cases and examplesBook Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: Statistics for Machine Learning by Pratap DangetiMatplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin YimPandas Cookbook by Theodore PetrouWhat you will learnUnderstand the statistical fundamentals to build data modelsSplit data into independent groups Apply aggregations and transformations to each groupCreate impressive data visualizationsPrepare your data and design models Clean up data to ease data analysis and visualizationCreate insightful visualizations with Matplotlib and SeabornCustomize the model to suit your own predictive goalsWho this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.
Theodore Roosevelt's writing has the same verve, panache, and energy as the life he lived. Perhaps no president in U.S. history--not even Jefferson--had so many opinions and intellectual interests, believed in so many causes, or worked so hard to translate his beliefs into action. A hard-headed idealist, an unabashed interventionist, a crusader on behalf of environmental preservation and against big business "trusts," he was also a writer of uncommon grace and passion with a gift for the memorable phrase. His autobiography, one of the two or three finest ever written by a U.S. president, abounds in exciting episodes of personal transformation and insights into the bitter politics of the day. Roosevelt was a sickly youth who steeled himself for a life of vigor, growing up surrounded by wealth in nineteenth-century Manhattan but vacationing in the West, where he rode with cowboys and learned to revere and study the natural world. His book describes his early failures in his political career and his ascent from the New York City police board to assistant secretary of the Navy where he advocated war with Spain, to his brief stint and public renown as a Rough Rider; and on to the governorship of New York, vice presidency under McKinley, and finally the presidency itself. Elting Morison's new introduction analyzes what Roosevelt has included-and not included-about his many political conflicts, his role in the acquisition of the Panama Canal, and the deaths of his wife and his mother. As everywhere in his writing, the personality of T.R.-alert, voluble, forceful, compassionate-shines forth from this book, which remains a singular study of a dynamic and, in many respects, exemplary man who was also a key figure in the Age of Reform.
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