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"The current text provides a clear introduction to computer science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts."

"Introduces computer programming using the Python programming language."

"The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming."

"Publisher Synopsis1. Introduction. 2. Data Types and Expressions. 3. Control Statements. 4. Strings and Text Files. 5. Lists and Dictionaries. 6. Design with Functions. 7. Simple Graphics and Image Processing. 8. Design with Classes. 9. Graphical User Interfaces. 10. Multithreading, Networks, and Client/Server Programming. 11. Searching, Sorting, and Complexity. (Online only) Appendices. Glossary. Inde"

"Penggunaan Python dipilih karena bahasa pemrograman ini bersifat open source dengan banyak tersedianya berbagai sumber dan Python juga diklaim sebagai bahasa yang menggabungkan kapabilitas, dengan kode sintaks yang sangat jelas, dan dilengkapi dengan bahasa yang besar dan komprehensif. Library Open CV juga tersedia secara gratis dan menyediakan banyak fungsi pemrosesan gambar. Pengoreksian citra CBCT yang dilakukan pada penelitian ini bertujuan untuk meningkatkan kualitas citra CBCT dengan melihat meningkatnya nilai yang didapat pada citra CBCT terkoreksi. Phantom CIRS 002LFC di-scan pada CBCT menggunakan half bow tie filter sesuai dengan protokol yang digunakan untuk scanning organ thorax. Penelitian ini menggunakan data citra pasien dengan diagnosa kanker paru dan laring masing-masing berjumlah dua dan satu orang. Hasil kalibrasi CBCT terhadap CT diperoleh bahwa nilai HU citra CBCT linier terhadap citra CT. Evaluasi PSNR dan SSIM digunakan pada penelitian ini sebagai parameter keberhasilan dari citra yang dikoreksi.

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Python was chosen because this programming language is open source with many sources available and Python is also claimed to be a language that combines capabilities, with very clear syntax code, and is equipped with a large and complete language. CV Open Library is also available free of charge and provides many drawing functions. CBCT image correction carried out in this study aims to improve the quality of CBCT images by looking at the value obtained in the corrected CBCT image. Phantom CIRS 002LFC was scanned on CBCT using a half bow tie filter according to the protocol used for scanning the thorax organs. This study uses image data of patients diagnosed with lung and laryngeal cancer, respectively, two and one person. The CBCT calibration results against CT showed that the HU value of CBCT images was linear to CT images. PSNR and SSIM evaluations were used in this study as the confidence parameters of the corrected image."