Weitere Bücher, die Sie mögen werden

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  The Mathematical Principles of...

  Issac Newton

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  "If I have seen further, it is by standing on the shoulders of giants."
  
  This is the book that launched the scientific age. Sir Isaac Newton's Philosophiæ Naturalis Principia Mathematica (often simply The Principia) is arguably the single most important work in the history of science, defining the world for centuries to come.
  
  First published in 1687, this masterpiece of classic science laid out the three laws of motion and the law of universal gravitation, explaining everything from the orbit of the planets to the trajectory of a cannonball. Newton didn't just describe the universe; he provided the mathematical tools (Calculus developed by him and Leibniz) to understand it.
  
  In this seminal work, you will find:
  
  Newton's Laws of Motion: The bedrock of classical physics.
  
  Universal Gravitation: The mathematical proof for why and how objects attract each other.
  
  The Foundation of Calculus: The analytical engine for solving problems in theoretical physics and astronomy.
  
  A Classic of Philosophy: A monumental treatise on how the universe naturally works, governed by immutable mathematical principles.
  
  Essential reading for students, scholars, and anyone interested in the history of science, The Principia remains a testament to human reason and one of the great intellectual achievements of Western civilization.
  
  Unlock the secrets of the cosmos. Click "Buy Now" and own the cornerstone of modern science.

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  Let the Wildflowers Grow - One...

  Brigitte M. Becker

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  Let the Wildflowers Grow: One Mother's Journey through Adoption, Attachment and Borderline Personality Disorder is a beautiful story of mother-daughter love that turns to anguish in the challenges of mental health. It follows the poignant narrative of Brigitte Becker, who along with her husband and son, open their heart and home to a bright, beautiful ten-year-old from Ukraine named Anna, embarking together on a journey of adjusting this cherished young girl to the United States. 
  As mother and daughter bond in shared adventures, the family grows closer. However, signs of attachment and borderline personality disorders emerge in Anna, thrusting Brigitte, like any mother in this situation, into uncharted territory.  
  As Anna grapples with the challenge of regulating her emotions amidst the escalating battle with mental illness, nonetheless she is steadfast in her resolve to assert herself as an independent human being. Meanwhile, Brigitte seeks out every medical means of help possible. Driven by a fear of abandonment, Anna faces unstable emotional states that erupt in risky behavior. 
  In the quiet moments of reflection, as she gazes out at the wildflowers dancing in the breeze, Brigitte’s heart aches with the weight of her responses and decisions. But amidst the sadness, there’s determination, a resolve to let things happen naturally, that they will work out over time. Will they? Do they? 
  This riveting, reads-like-a-novel memoir, is for you if you are a parent of a child with mental illness and are looking for resources, support, and understanding of the unique challenges for adoptees and their families. Through her candid yet heart-wrenching writing, Brigitte gives you a real-life look into a mother’s path towards happiness and healing—as her daughter looks ahead, striving for independence amidst an uncertain future.

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  Systems Theory

  Introbooks Team

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  Systems theory is often referred as system science. It is interdisciplinary study of systems in common terms. Main goal of such studies is to discover new patterns and elucidating principles. Such principles are meant to be derived from and applied to almost any kind of system in all fields of research. These principles can be applied on such fields up to nesting levels. System theory or system science is often considered specialization of system thinking. The principles derived from it are simply gold output of this science of system or systems theory and systems engineering. It uses the emphasis on generality. Such emphasis is useful across a wide system range. When compared to particular models of individual fields, the common emphasis can be applied over wider range of systems. 
  Central topic of this theory is systems. The systems hold a self-correcting architecture. Feedback is used in order to perform such self-correction over the systems and by the systems themselves (quite confusing, isn’t it?). Such self-regulating systems can be found in nature. Here, term “nature” also includes human body’s physiological systems, global ecosystems, local ecosystems, climate and human learning processes as well. Including human or any individual living being is approved or allowed by many international organizations such as UN (United Nations). 
  Systems theory is originated from General System Theory (GST) developed by Bertalanffy. Systems theory can be used in many other fields. These fields or terms include action theory and social theory. Moreover, the action theory was developed by Talcott Parsons and the social systems theory was developed by Niklas Luhmann. 
  Multiple diverse fields or areas provided base knowledge in development of contemporary ideas of systems theory. Following are some of these many fields and studies along with their researchers:Exemplification by the work of Ludwig von Bertalanffy. He was a researcher in the field of biology.Linguist Bela H. BanathyTalcott Parsons in sociologyHoward T. Odum in ecological systemsEugene Odum, Fritjof Capra, Peter Senge in the field of organizational theory and managementDebora Hammond, Alfonso Montuori and Richard A. Swanson in the field of Human Resource Development and Interdisciplinary theories.In the terms of transdisciplinary, interdisciplinary and multiperspectival domain, concept of systems theory brings together many principles from ontology, scientific philosophy, physics, computer science, biology, engineering, sociology, geography, political science, psychotherapy and economics. 
  Thus, it is said that systems theory acts as a link for interdisciplinary dialogs that transfer between autonomous areas of study. These areas also cover systems science itself. 

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  Machine Learning with Python - A...

  Alexander Cane

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  Python is one of the several multi-paradigm programming languages a lot of people prefer. It can be used for lots of purposes, interpreted and easy to understand. Python works in an amazing way as it enables its users to be able to create and use diverse programs for both complex and simple designs. This means that Python has some special plug-ins that allow one to create simple coding that could work on other platforms. As a result, with the knowledge of Python, you are sure of being able to handle different languages within the same paradigm. 
  Amazingly, when Python is used to code, it gives a fast result on the goal. Even though Python gives access to different platforms, it gives result to whatever is done instantly. In the same vein, writing of code with Python is made easy as though one is speaking in a human language. 
  Python has this multi-tasking feature that allows its users to be able to attain a single code of programming using different styles. Styles could affect the end result of a code; though it will surely be the same result with slight modifications. 
  Python is easier to learn but the focal point of syntax is readability. Because of this, there is a huge reduction in maintenance risk. Modules and packages are basic things supported by Python; these enable the reuse of codes and the program's modularity. These amazing features of Python have made it one of the leading programs that programmers will always use and recommend to others.

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  Data Engineering with Python for...

  Simon Winston

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  "Data Engineering with Python: Comprehensive Clear Guide" is your gateway to the exciting world of data engineering, designed especially for those new to the field. Whether you're an aspiring data engineer, a business analyst, or a developer looking to broaden your skills, this book will provide you with the knowledge and tools you need to work with data and build data pipelines using the versatile Python programming language. 
  In the digital age, data is the lifeblood of organizations, and the demand for professionals who can effectively collect, process, and transform data has never been higher. This book takes you on a journey from the fundamentals of Python programming to the intricacies of data engineering, giving you the confidence and skills to navigate this dynamic field. 
  Whether you're looking to embark on a new career path or enhance your existing skills, "Data Engineering with Python" is the perfect guide to help you grasp the essentials of data engineering and set you on the path to becoming a proficient data engineer. Unlock the potential of data and gain the skills to transform it into meaningful insights and valuable information. Get started on your data engineering journey today! 
   

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  Chrysalis - Maria Sibylla Merian...

  Kim Todd

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  Before Darwin, before Audubon, there was Maria Sibylla Merian. 
  An artist turned naturalist, Merian was born just 16 years after Galileo proclaimed that the Earth orbited the sun. But at the age of 50, she sailed from Europe to South America on a solo scientific expedition to study insect metamorphosis—an unheard-of journey for any naturalist at that time, much less a woman. 
  When she returned, she produced a book that secured her reputation, only to have it savaged in the 19th century by scientists who disdained the work of “amateurs.” 
  Chrysalis takes us from golden age Amsterdam to the Surinam tropics to modern laboratories where Merian’s insights fuel a new branch of biology. The New Yorker called it a "spellbinding biography." In it, Kim Todd brings to life a 17th century woman whose boldness and vision would still be exceptional today.

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