A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn Fundamentals and components of scientific computing Scientific computing data management Performing numerical computing using NumPy and SciPy Concepts and programming for symbolic computing using SymPy Using the plotting library matplotlib for data visualization Data analysis and visualization using Pandas, matplotlib, and IPython Performing parallel and high performance computing Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.
The book on “INDIA’s MAJOR MILITARY & RESCUE OPERATIONS” by Dr. H.K. Pandey and Manish Raj Singh which has been very well conceptualized. Both the writers have been into the process for almost last two years and have obtained the required details from all the possible available sources, researched it well and have given it a wonderful shape, to help anyone who wants to know about Indian Military & Rescue Operations. Dr. H.K. Pandey has a varied experience behind him being the present Head of the Department of Defence and Strategic Studies at Meerut College, Meerut. He has always positive attitude toward his subject. His knowledge and mastery on the subject is enormous. Manish Raj Singh, is a student in the Department of Defence and Strategic Studies at Meerut College, Meerut has shown keen interest and dedication towards the subject completely. He is very hardworking and enthusiastic. He has left no stones unturned to get the details about the topics of the subjects and comes out with the best possible outcome. His knowledge of the subject is evident from the work produced in this detailed book. The book has wonderfully covered the background, political views, role, tasks and the major technological development during these military and rescue operations. The book shall be of great help to the students of Defence Studies/Military Science of various Colleges and Universities all over India to get a fair idea about the strengths of India’s Operations to enhance their knowledge about operations for their use in subject for competitive examinations as applicable to them at various levels of their career. The general readers too will get a fair idea about the strength of Indian Forces during these operations at national and international level. This will give them the confidence to work hard in their concerned fields towards the development of a stronger India that is capable to take on its adversaries neighboring countries anytime and defeat their ongoing plans to imbalance its development as a power in South Asia. I once again congratulate both the writers for giving a comprehensive concise look at Indian Operations through their book and wish them all the success in their future endeavors. Maj. Gen. A K Shukla (VSM)
In recent years, knowledge systems have become key areas of concern for researchers, policy-makers and developmental activists. Knowledge Systems and Natural Resources is a unique collection of case studies from Nepal. It provides rich and incisive insights into critical social processes and deliberative governance. It analyses how knowledge is produced, disseminated and applied in various aspects of natural resource governance in Nepal. The book challenges the dichotomy between traditional and scientific knowledge. It proposes to differentiate among systems of knowledge on the basis of political standing of social actors engaged in natural resource governance. It further proposes that change in governance hinges on how the diverse systems of knowledge come into deliberative interface and to what extent the unequal distribution of power and knowledge resources in society constrain the process of deliberation.
Not a rapist" Is a small love story, based on a rural area of Rajasthan this is a story of friendship, family and first love of our life. It captures the small nuances of the village life. It shows us their old traditions, their festivals and skid’s. It also have an old rivalry and casteism. It has coldness of winter and some unforgettable rainy days, alongside a cricket match that you will never forget. This story is high on human emotions, while the main conflict of this story is a girl's will power to take a stand for truth against the society. It’s a story of a brave girl who fights against her own family to serve justice to a person who’s convicted for her rape.
This Book is designed for Civil Engineering aspirants those are appearing in Mains Exam of JPSC (Jharkhand Public Service Commission) Assistant Engineer. It covers complete syllabus of Section-I (Objective Papers) of JPSC Mains by dividing it in three parts; Civil Engineering Paper-I, Civil Engineering Paper-II and General Ability according to the Exam pattern. The Book not only consists major subjects of Civil Engineering, like SOM, TOS, Building Materials, RCC, Steel, Soil, Environment, FM, Machines, Highways, but also, includes minor subjects, such as Railway and Airport, Docks and Harbour, etc. Even, in the Book, the General Ability part is also classified in sub-parts of General English, Indian History, Polity, Economy, Geography, General Science and in most important Current Affairs. The Book also includes questions of Previous Year JPSC Mains Exam. There are a total of 4100+ questions in the Book published in more than 600 Pages. Due to its exam oriented pattern, we hope, this Book will fulfill all needs of aspirants of JPSC Mains.
This book focuses on the physiology and molecular biology of the front and back regions of the eye. Specifically, the chapters of this book cover topics that explain currently less understood aspects of retinal health as well as the use of zebrafish models to understand the molecular pathogenesis of associated diseases. This includes retinitis pigmentosa, diabetic retinopathy ciliopathies in the eye, rhodopsin trafficking and associated disorders, and the biochemistry of cone defects. This book serves as a useful reference for scientists and graduate students seeking to understand protein trafficking mechanisms and metabolic control in retinal diseases.
A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn Fundamentals and components of scientific computing Scientific computing data management Performing numerical computing using NumPy and SciPy Concepts and programming for symbolic computing using SymPy Using the plotting library matplotlib for data visualization Data analysis and visualization using Pandas, matplotlib, and IPython Performing parallel and high performance computing Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.
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