Scientific Study from the year 2021 in the subject Environmental Sciences, grade: 10.00, , language: English, abstract: This paper analyses how the earth is able to heal due to the COVID-19 lockdown. Humans' life and activities have always been influenced by Earth's climate from the first stages of its existence. World population concentration is confined in a relatively small region where the climate conditions are most favourable to human life and activities. Although the inhabited area is increasing gradually, the areas with less favourable conditions are developing relatively slow. It imposes more and more stress on the natural resources available on the Earth's limited field. Agricultural activities, the backbone of the economy of many countries, depend primarily on the weather and climate of a particular area.
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code. PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You’ll also discover how to solve problems in graph analysis using graphframes. On completing this book, you’ll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases. What You Will Learn Understand PySpark SQL and its advanced features Use SQL and HiveQL with PySpark SQL Work with structured streaming Optimize PySpark SQL Master graphframes and graph processing Who This Book Is ForData scientists, Python programmers, and SQL programmers.
Understand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn Get acquainted with NumPy and use arrays and array-oriented computing in data analysis Process and analyze data using the time-series capabilities of Pandas Understand the statistical and mathematical concepts behind predictive analytics algorithms Data visualization with Matplotlib Interactive plotting with NumPy, Scipy, and MKL functions Build financial models using Monte-Carlo simulations Create directed graphs and multi-graphs Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan Learning Predictive Analytics with Python, Ashish Kumar Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization
Academic Paper from the year 2021 in the subject Didactics - E-Learning, grade: 10.00, , language: English, abstract: This paper discusses E-learning as a new way of education during the lockdown of COVID-19 pandemic. The crisis caused by the lockdown has cast its shadow on the education system. Coronavirus has altered the lives of all persons. But, time to look at the positives. The most crucial human development oft the kids is related to the special e-technology adopted during this lockdown period. The modern learning technique, which is already increasing at all levels of education, is an alternative training method to a physical classroom model that employs a comprehensive set of applications and processes.
An authoritative, comprehensive, and accessible cardiology textbook that caters to the needs of trainees and practicing cardiologists. Cardiovascular disease is now the largest contributor to global mortality. Low and middle income countries. (Lmics) presently bear the brunt of this global epidemic, accounting for over three quarters of cardiovascular deaths and 90% of these deaths under 70 years of age. The experience and expertise of health professionals in these countries will therefore be the principal determinant of global success in countering and curbing the global cardiovascular epidemic in the coming decades. This book covers the fundamentals of cardiology in depth, to provide conceptual clarity, and delves into specific cardiovascular disorders with detailed descriptions that range from aetiology and pathophysiology to evidence informed approaches to diagnosis and management. It does all of this by blending contextual relevance with uncompromising academic rigor.
This book comprehensively addresses computational intelligence, including the theories, methodologies and techniques underlying this evolving field, as well as its potential uses in various domains across the entire spectrum of the sciences (the natural sciences, health sciences, engineering, social sciences, and humanities) and in various types of business. Computational intelligence is rapidly spreading into all kinds of products and services. This calls for the adaptation of existing theories, methodologies and techniques - and the development of wholly new ones - to ensure the successful implementation of new intelligent products and services in various domains related to public organizations, businesses and everyday life. This book gathers contributions from various experts working on different aspects and implementations of computational intelligence, which address new developments in theory, analytical and numerical simulation and modeling, experimentation, deployment and case studies, results of laboratory or field operational tests, and ongoing advances in computational intelligence. It is intended for a broad audience, including researchers, engineers, policymakers, industry experts, and students, offering these readers essential information on and new inspirations regarding the potential of computational intelligence.
This authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the reader’s knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.
This second edition brings medical students and trainees fully up to date with the latest skills and techniques in surgery. The contents have been thoroughly revised and include the addition of four new chapters, and the layout improved to offer a logical, step by step format and enhance readability. Beginning with the basic preparation for surgery, each of the following chapters describes a different technique, providing a brief overview of the surgery, discussion on the instruments and an explanation of the actual procedure. Each chapter is highly illustrated and includes a summary of the key points. Key points New edition bringing trainees up to date with the latest skills and techniques in surgery Logical, step by step layout enhances readability Thoroughly revised contents with addition of four new chapters Highly illustrated with nearly 280 full colour images and figures Key points summary box in each chapter to assist learning Internationally recognised author and editor team from the UK and India Previous edition published in 2009
This advanced text-cum-reference book presents a comprehensive account of the syntheses, reactions, properties and applications of all the most significant classes of heterocyclic compounds. This second volume in the series is an essential tool not only for advanced undergraduates and graduates, but also for academic and industrial researchers in organic, medicinal, pharmaceutical, dye and agricultural chemistry.
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