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Fondamenti di statistica descrittiva in Python

Fondamenti di statistica descrittiva in Python

Leonardi Hernández Sánchez; Irán Ramos Prieto; Héctor Manuel Moya Cessa

Edizioni Sapienza
2025
nidottu
Questo libro offre un'introduzione chiara e accessibile alla statistica descrittiva, rivolta agli studenti della scuola secondaria superiore e agli insegnanti che cercano un approccio didattico aggiornato. Combina teoria, esercizi pratici e programmazione Python per analizzare e visualizzare efficacemente i dati. Nel corso di sei capitoli, il lettore imparer a organizzare le informazioni, a costruire tabelle e grafici e a calcolare le principali misure statistiche, il tutto corredato da esempi contestualizzati e da codice passo-passo. Non sono richieste conoscenze preliminari di programmazione. Integrando strumenti computazionali e fondamenti teorici, questo libro favorisce il pensiero critico, l'autonomia di apprendimento e lo sviluppo di competenze digitali, preparando i giovani ad affrontare le sfide di una societ guidata dai dati.
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Podstawy statystyki opisowej w Pythonie

Podstawy statystyki opisowej w Pythonie

Leonardi Hernández Sánchez; Irán Ramos Prieto; Héctor Manuel Moya Cessa

Wydawnictwo Nasza Wiedza
2025
nidottu
Ta książka oferuje jasne i przystępne wprowadzenie do statystyki opisowej, skierowane do uczni w szk l średnich i nauczycieli poszukujących aktualnego podejścia do nauczania. Lączy w sobie teorię, cwiczenia praktyczne i programowanie w języku Python, aby skutecznie analizowac i wizualizowac dane. W sześciu rozdzialach czytelnik dowie się, jak organizowac informacje, konstruowac tabele i wykresy oraz obliczac kluczowe miary statystyczne, a wszystko to w towarzystwie kontekstowych przyklad w i kodu krok po kroku. Wcześniejsza znajomośc programowania nie jest wymagana. Lącząc narzędzia obliczeniowe z podstawami teoretycznymi, książka ta wspiera krytyczne myślenie, autonomię uczenia się i rozw j umiejętności cyfrowych, przygotowując mlodych ludzi do stawienia czola wyzwaniom spoleczeństwa opartego na danych.
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Fundamentos da estatística descritiva em Python

Fundamentos da estatística descritiva em Python

Leonardi Hernández Sánchez; Irán Ramos Prieto; Héctor Manuel Moya Cessa

Edicoes Nosso Conhecimento
2025
nidottu
Este livro oferece uma introdu o clara e acess vel estat stica descritiva, destinada a estudantes do ensino secund rio e a professores que procuram uma abordagem pedag gica actualizada. Combina teoria, exerc cios pr ticos e programa o Python para analisar e visualizar dados de forma eficaz. Ao longo de seis cap tulos, o leitor aprender a organizar a informa o, a construir tabelas e gr ficos e a calcular as principais medidas estat sticas, tudo isto acompanhado de exemplos contextualizados e de c digo passo a passo. N o s o necess rios conhecimentos pr vios de programa o. Ao integrar ferramentas computacionais com fundamentos te ricos, este livro fomenta o pensamento cr tico, a autonomia de aprendizagem e o desenvolvimento de compet ncias digitais, preparando os jovens para enfrentar os desafios de uma sociedade baseada em dados.
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Pensamiento Matemático II

Pensamiento Matemático II

Leonardi Hernández Sánchez; Irán Ramos Prieto; Héctor Manuel Moya Cessa

Editorial Academica Espanola
2026
pokkari
Este libro est dirigido a estudiantes de Educaci n Media Superior y tiene como prop sito acompa ar el desarrollo del pensamiento algebraico conforme al Marco Curricular Com n de la EMS (Modelo Educativo 2025). A lo largo de seis cap tulos se abordan de manera gradual los conceptos fundamentales del lgebra, desde el lenguaje algebraico y la clasificaci n de expresiones hasta las operaciones con polinomios, la aplicaci n del lgebra en situaciones cotidianas y la resoluci n de ecuaciones con una inc gnita.La obra se caracteriza por un enfoque did ctico claro y accesible, que privilegia la comprensi n conceptual sobre la memorizaci n de procedimientos. Cada cap tulo se estructura mediante actividades de apertura, desarrollo y cierre, integrando ejemplos resueltos paso a paso y una amplia variedad de ejercicios progresivos. Asimismo, se incluyen aplicaciones pr cticas relacionadas con presupuestos, proporciones y problemas de la vida diaria, con el fin de mostrar la utilidad del lgebra como herramienta para el an lisis y la toma de decisiones. Este libro busca servir como apoyo acad mico tanto para estudiantes como para docentes del nivel medio superior.
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The Matrix Perturbation Method in Quantum Mechanics

The Matrix Perturbation Method in Quantum Mechanics

Francisco Soto-Eguibar; Braulio Misael Villegas-Martínez; Héctor Manuel Moya-Cessa

Springer International Publishing AG
2024
sidottu
This book provides an alternative approach to time-independent perturbation theory in non-relativistic quantum mechanics. It allows easy application to any initial condition because it is based on an approximation to the evolution operator and may also be used on unitary evolution operators for the unperturbed Hamiltonian in the case where the eigenvalues cannot be found. This flexibility sets it apart from conventional perturbation theory. The matrix perturbation method also gives new theoretical insights; for example, it provides corrections to the energy and wave function in one operation. Another notable highlight is the facility to readily derive a general expression for the normalization constant at m-th order, a significant difference between the approach within and those already in the literature. Another unique aspect of the matrix perturbation method is that it can be extended directly to the Lindblad master equation. The first and second-order corrections are obtained for this equation and the method is generalized for higher orders. An alternative form of the Dyson series, in matrix form instead of integral form, is also obtained. Throughout the book, several benchmark examples and practical applications underscore the potential, accuracy and good performance of this novel approach. Moreover, the method's applicability extends to some specific time-dependent Hamiltonians. This book represents a valuable addition to the literature on perturbation theory in quantum mechanics and is accessible to students and researchers alike.
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The Matrix Perturbation Method in Quantum Mechanics

The Matrix Perturbation Method in Quantum Mechanics

Francisco Soto-Eguibar; Braulio Misael Villegas-Martínez; Héctor Manuel Moya-Cessa

Springer International Publishing AG
2025
nidottu
This book provides an alternative approach to time-independent perturbation theory in non-relativistic quantum mechanics. Another unique aspect of the matrix perturbation method is that it can be extended directly to the Lindblad master equation.
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The Secret Lore of London

The Secret Lore of London

Nigel Pennick; John Matthews; Caroline Wise; Caitlín Matthews; Carol Clancy; R.J. Stewart; Bernard Nesfield-Cookson; Gareth Knight; Robert Stephenson; Geraldine Beskin; Chesca Potter; William Stukeley; Lewis Spence; Harold Bayley; Alan V. Insole; Ross Nichols

Coronet Books
2016
pokkari
With a foreword by Iain Sinclair. London is an ancient city, whose foundation dates back literally thousands of years into the legendary prehistory of these islands. Not surprisingly it has accumulated a large number of stories, both historic and mythical, during this period, many of which, though faithfully recorded at the time, have lain almost forgotten in dusty libraries throughout the city. The Secret Lore of London is a guide to the legends, including a discussion of their importance as part of the oral tradition of Britain, combining Prehistoric, Celtic, Arthurian, Roman, Saxon and Norman levels - each of which has contributed to the many-layered life of the city. The first part contains a unique selection of essays (some printed here for the first time) by experts in their fields, each of whom possesses a unique interest in the legends of these islands, and who have written widely on associated themes. The second part of the book will consist of a Gazetteer of the sites mentioned which are still in existence, together with various other sites of associated interest, compiled by the Editor, the contributors, and members of the London Earth Mysteries Group. This part will be fully updated and extended to include many more sites. The result is a wide ranging and wholly fascinating book, with wide sales application possible. A series of appendixes will include William Stukley's extraordinary document The Brill, which relates to the ancient prehistoric sites around the area of present day St. Pancras, and excerpts from some of the best known 19th and early 20th century works on Legendary London by Lewis Spence and Harold BayleyContributors to the book are: Nigel PennickJohn MatthewsCaroline WiseCaitlín MatthewsCarol Clancy R.J. StewartBernard Nesfield-CooksonGareth KnightRobert StephensonGeraldine BeskinChesca PotterWilliam StukeleyLewis SpenceHarold BayleyAlan V. InsoleRoss Nichols
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