Sono stati trovati 95 prodotti corrispondenti alla tua ricerca per downey in 4 negozi:

Pagine: 109, Copertina flessibile, Independently published

Think DSP: Digital Signal Processing in Python

Pagine: 110, Copertina flessibile, Independently published

\"Think DSP: Digital Signal Processing in Python\" is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. By the end of the first chapter, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Subsequent chapters follow a logical progression that develops the important ideas incrementally, with a focus on applications.

Contenuto della confezione: 7 tazze PANPASTEL, 1 pallet per 10 secchi, 1 coltello n°3, 2 applicatori per n° 3 coltelli e 2 spugne. Alta concentrazione di pigmenti: colori intensi e brillanti. La consistenza ricca e cremosa lo rende facile da rimuovere e applicare facilmente il colore. Impostare "Scopri il mix multimediale" Ideale per ruvidi, manga, scrapbooking, ecc. Produzione minima di rifiuti in polvere. Compatibile con pastelli morbidi tradizionali. Resistenza alla luce rafforzata.

In 1952, John T. \"Jack\" Downey, a twenty-three-year-old CIA officer from Connecticut, was shot down over Manchuria during the Korean War. The pilots died in the crash, but Downey and his partner Richard \"Dick\" Fecteau were captured by the Chinese. For the next twenty years, they were harshly interrogated, put through show trials, held in solitary confinement, placed in reeducation camps, and toured around China as political pawns. Other prisoners of war came and went, but Downey and Fecteau's release hinged on the United States acknowledging their status as CIA assets. Not until Nixon's visit to China did Sino-American relations thaw enough to secure Fecteau's release in 1971 and Downey's in 1973.\n\nLost in the Cold War is the never-before-told story of Downey's decades as a prisoner of war and the efforts to bring him home. Downey's lively and gripping memoir-written in secret late in life-interweaves horrors and deprivation with humor and the absurdities of captivity. He recounts his prison experiences: fearful interrogations, pantomime communications with his guards, a 3,000-page overstuffed confession designed to confuse his captors, and posing for \"show\" photographs for propaganda purposes. Through the eyes of his captors and during his tours around China, Downey watched the Great Leap Forward, the Cultural Revolution, and the drastic transformations of the Mao era. In interspersed chapters, Thomas J. Christensen, an expert on Sino-American relations, explores the international politics of the Cold War and tells the story of how Downey and Fecteau's families, the CIA, the U.S. State Department, and successive presidential administrations worked to secure their release.

Colori altamente pigmentati per pittura e arte mista Compatibile con pastelli tradizionali e altri supporti secchi Il kit di 7 colori contiene una tavolozza e spugne Sofft più un coltello con 2 coperchi Ogni PastelPan contiene 9 ml di colore Prodotto negli Stati Uniti da Colorfin

In 1952, John T. "Jack" Downey, a twenty-three-year-old CIA officer from Connecticut, was shot down over Manchuria during the Korean War. The pilots died in the crash, but Downey and his partner Richard "Dick" Fecteau were captured by the Chinese. For the next twenty years, they were harshly interrogated, put through show trials, held in solitary confinement, placed in reeducation camps, and toured around China as political pawns. Other prisoners of war came and went, but Downey and Fecteau's release hinged on the United States acknowledging their status as CIA assets. Not until Nixon's visit to China did Sino-American relations thaw enough to secure Fecteau's release in 1971 and Downey's in 1973.nnLost in the Cold War is the never-before-told story of Downey's decades as a prisoner of war and the efforts to bring him home. Downey's lively and gripping memoir-written in secret late in life-interweaves horrors and deprivation with humor and the absurdities of captivity. He recounts his prison experiences: fearful interrogations, pantomime communications with his guards, a 3,000-page overstuffed confession designed to confuse his captors, and posing for "show" photographs for propaganda purposes. Through the eyes of his captors and during his tours around China, Downey watched the Great Leap Forward, the Cultural Revolution, and the drastic transformations of the Mao era. In interspersed chapters, Thomas J. Christensen, an expert on Sino-American relations, explores the international politics of the Cold War and tells the story of how Downey and Fecteau's families, the CIA, the U.S. State Department, and successive presidential administrations worked to secure their release.

Pagine: 150, Copertina flessibile, Independently published

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Pagine: 110, Copertina flessibile, Independently published

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Pagine: 100, Copertina flessibile, Independently published

Parrucca Iron Man Tony Stark Robert Downey Jr. Parrucca Ondulata Corta Parrucca Da Gioco Di Ruolo Iron Man

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies

Pagine: 110, Copertina flessibile, Independently published

parrucca sintetica per feste / costumi per Halloween, carnevale, feste in costume, addii al celibato taglia unica (quasi) tutto - il retino elastico si allunga comodamente verso l'alto Lavaggio: facile da lavare e da pulire usando solo un po 'di shampoo delicato in acqua fredda. Nota che il colore potrebbe essere leggermente diverso dalle foto a causa dell'impostazione del colore del monitor del tuo computer o per altri motivi. Prova diversi stili di capelli, provando un umore felice

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies