C Untuk Programmer
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Tutorial Bahasa C Untuk Programmer
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Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2020-03-16
Tutorial Bahasa C Untuk Programmer written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-16 with Computers categories.
Buku ini disajikan dengan pendekatan progresif atas dasar-dasar teknik pemrograman Buku ini sungguh – sungguh mengajarkan pendekatan berorientasi objek. Semua pemrosesan selalu dibahas dalam peristilahan berorientasi objek. Pembaca akan belajar bagaimana menggunakan objek-objek sebelum menulis dan menciptakannya. Buku ini menggunakan pendekatan progresi alamiah yang membuahkan kemampuan dalam merancang solusi-solusi berorientasi objek. Pembaca seharusnya tidak diajari bagaimana memprogram; pembaca sebaiknya diajari bagaimana menuliskan program yang benar. Buku teks ini mengintegrasikan latihan-latihan yang berperan sebagai fondasi dan keterampilan pemrograman yang baik. Pembaca akan belajar bagaimana menyelesaikan permasalahan dan bagaimana mengimplementasikan solusinya. Pembaca akan belajar dari contoh. Buku teks ini diisi dengan contoh-contoh yang dimplementasikan secara utuh untuk mendemontrasikan konsep-konsep pemrograman yang baik. Pembaca ditantang untuk menyelesaikan soal-soal yang disediakan secara khusus pada akhir dari tiap bab. Berikut topik-topik bahasan yang disajikan pada buku teks ini: Array, Pointer, Kelas dan Objek, Pembebanan Operator, Pewarisan, Fungsi Virtual dan Polimorfisme, Template, String C++, Penanganan Eksepsi, Aliran I/O dan bekerja dengan file, Namespace dan Direktif Praprosesor, STL (Standart Tamplate Library), Container Asosiatif : Set, Multiset. Map dan Multimap, Bit Set, dan Algoritma
C Programming For Beginners
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Author : Dr Madhav Bokare and Ms. Nishigandha Kurale
language : en
Publisher: Sankalp Publication
Release Date :
C Programming For Beginners written by Dr Madhav Bokare and Ms. Nishigandha Kurale and has been published by Sankalp Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
The important aspect of designing and and writing this book of c language is to create a foundation for any beginner who wants to learns the c language. The book is designed in such a way that all topics can be easily understood by any novice as well as we have provided variety of c programs to study and to practice.
Programming In C
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Author : Dr. Sandeep Kumar Bothra
language : en
Publisher: Thakur Publication Private Limited
Release Date : 2023-11-01
Programming In C written by Dr. Sandeep Kumar Bothra and has been published by Thakur Publication Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Education categories.
e-book of PROGRAMMING IN C, BCA, First Semester for Three/Four Year Undergraduate Programme for University of Rajasthan, Jaipur Syllabus as per NEP (2020).
C For C Programmers
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Author : Ira Pohl
language : en
Publisher: Benjamin-Cummings Publishing Company
Release Date : 1994
C For C Programmers written by Ira Pohl and has been published by Benjamin-Cummings Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Introduces and explains the object-oriented features of C++ programming for programmers already familiar with C, and includes exercises, language comparisons, and a reference appendix.
Sample Coding Solutions To Programming Problems In C
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Author : Norizan Mohamad
language : en
Publisher: Madam Izang Academy
Release Date : 2023-12-31
Sample Coding Solutions To Programming Problems In C written by Norizan Mohamad and has been published by Madam Izang Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Antiques & Collectibles categories.
This book is targeted especially for beginners in the world of C++ Programming. As the author of the book, I hope the solutions and source codes provided can help you take the first steps in your journey to sharpen your programming skill as well as giving you the confidence to try them out.
Programming In C
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Author : J. B. Dixit
language : en
Publisher: Laxmi Publications
Release Date : 2011-07
Programming In C written by J. B. Dixit and has been published by Laxmi Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07 with categories.
Effective C
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Author : Robert C. Seacord
language : en
Publisher: No Starch Press
Release Date : 2020-08-11
Effective C written by Robert C. Seacord and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.
A detailed introduction to the C programming language for experienced programmers. The world runs on code written in the C programming language, yet most schools begin the curriculum with Python or Java. Effective C bridges this gap and brings C into the modern era--covering the modern C17 Standard as well as potential C2x features. With the aid of this instant classic, you'll soon be writing professional, portable, and secure C programs to power robust systems and solve real-world problems. Robert C. Seacord introduces C and the C Standard Library while addressing best practices, common errors, and open debates in the C community. Developed together with other C Standards committee experts, Effective C will teach you how to debug, test, and analyze C programs. You'll benefit from Seacord's concise explanations of C language constructs and behaviors, and from his 40 years of coding experience. You'll learn: How to identify and handle undefined behavior in a C program The range and representations of integers and floating-point values How dynamic memory allocation works and how to use nonstandard functions How to use character encodings and types How to perform I/O with terminals and filesystems using C Standard streams and POSIX file descriptors How to understand the C compiler's translation phases and the role of the preprocessor How to test, debug, and analyze C programs Effective C will teach you how to write professional, secure, and portable C code that will stand the test of time and help strengthen the foundation of the computing world.
C For Programmers With An Introduction To C11
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Author : Paul Deitel
language : en
Publisher: Prentice Hall
Release Date : 2013-04-19
C For Programmers With An Introduction To C11 written by Paul Deitel and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-19 with Computers categories.
The professional programmer’s Deitel® guide to procedural programming in C through 130 working code examples Written for programmers with a background in high-level language programming, this book applies the Deitel signature live-code approach to teaching the C language and the C Standard Library. The book presents the concepts in the context of fully tested programs, complete with syntax shading, code highlighting, code walkthroughs and program outputs. The book features approximately 5,000 lines of proven C code and hundreds of savvy tips that will help you build robust applications. Start with an introduction to C, then rapidly move on to more advanced topics, including building custom data structures, the Standard Library, select features of the new C11 standard such as multithreading to help you write high-performance applications for today’s multicore systems, and secure C programming sections that show you how to write software that is more robust and less vulnerable. You’ll enjoy the Deitels’ classic treatment of procedural programming. When you’re finished, you’ll have everything you need to start building industrial-strength C applications. Practical, example-rich coverage of: C programming fundamentals Compiling and debugging with GNU gcc and gdb, and Visual C++® Key new C11 standard features: Type generic expressions, anonymous structures and unions, memory alignment, enhanced Unicode® support, _Static_assert, quick_exit and at_quick_exit, _Noreturn function specifier, C11 headers C11 multithreading for enhanced performance on today’s multicore systems Secure C Programming sections Data structures, searching and sorting Order of evaluation issues, preprocessor Designated initializers, compound literals, bool type, complex numbers, variable-length arrays, restricted pointers, type generic math, inline functions, and more. Visit www.deitel.com For information on Deitel’s Dive Into® Series programming training courses delivered at organizations worldwide visit www.deitel.com/training or write to [email protected] Download code examples To receive updates for this book, subscribe to the free DEITEL® BUZZ ONLINE e-mail newsletter at www.deitel.com/newsletter/subscribe.html Join the Deitel social networking communities on Facebook® at facebook.com/DeitelFan, Twitter® @deitel, LinkedIn® at bit.ly/DeitelLinkedIn and Google+TM at gplus.to/Deitel
All In One Book For C C Language
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Author : Balendra Jaiswal
language : en
Publisher: Balendra Jaiswal
Release Date : 2019-03-26
All In One Book For C C Language written by Balendra Jaiswal and has been published by Balendra Jaiswal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-26 with Antiques & Collectibles categories.
All in One book for- O/A level, ITI COPA, Competitive exam, Campus Preparation with C/C++, CITS Exam and beginner to advance level concept for Programmer. After reading this book, you will not need any books of C/ C ++ because all the concept of the book was practically described with example.This book specially designed to break all your doubts/myth about C/C++ and develop your programming skills from Scratch.
Data Science For Programmer A Project Based Approach With Python Gui
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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2021-08-19
Data Science For Programmer A Project Based Approach With Python Gui written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-19 with Computers categories.
Book 1: Practical Data Science Programming for Medical Datasets Analysis and Prediction with Python GUI In this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In Project 1, you will learn how to use Scikit-Learn, NumPy, Pandas, Seaborn, and other libraries to perform how to predict early stage diabetes using Early Stage Diabetes Risk Prediction Dataset provided by Kaggle. This dataset contains the sign and symptpom data of newly diabetic or would be diabetic patient. This has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by a doctor. You will develop a GUI using PyQt5 to plot distribution of features, feature importance, cross validation score, and prediced values versus true values. The machine learning models used in this project are Adaboost, Random Forest, Gradient Boosting, Logistic Regression, and Support Vector Machine. In Project 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict breast cancer using Breast Cancer Prediction Dataset provided by Kaggle. Worldwide, breast cancer is the most common type of cancer in women and the second highest in terms of mortality rates.Diagnosis of breast cancer is performed when an abnormal lump is found (from self-examination or x-ray) or a tiny speck of calcium is seen (on an x-ray). After a suspicious lump is found, the doctor will conduct a diagnosis to determine whether it is cancerous and, if so, whether it has spread to other parts of the body. This breast cancer dataset was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg. You will develop a GUI using PyQt5 to plot distribution of features, pairwise relationship, test scores, prediced values versus true values, confusion matrix, and decision boundary. The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, and Support Vector Machine. Book 2: Step by Step Tutorials For Data Science With Python GUI: Traffic And Heart Attack Analysis And Prediction In this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In Chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libraries to perform how to predict traffic (number of vehicles) in four different junctions using Traffic Prediction Dataset provided by Kaggle. This dataset contains 48.1k (48120) observations of the number of vehicles each hour in four different junctions: 1) DateTime; 2) Juction; 3) Vehicles; and 4) ID. In Chapter 2, you will learn how to use Scikit-Learn, NumPy, Pandas, and other libraries to perform how to analyze and predict heart attack using Heart Attack Analysis & Prediction Dataset provided by Kaggle. Book 3: BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI In this project, you will learn how to use Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, and other libraries to implement brain tumor classification and detection with machine learning using Brain Tumor dataset provided by Kaggle. This dataset contains five first order features: Mean (the contribution of individual pixel intensity for the entire image), Variance (used to find how each pixel varies from the neighboring pixel 0, Standard Deviation (the deviation of measured Values or the data from its mean), Skewness (measures of symmetry), and Kurtosis (describes the peak of e.g. a frequency distribution). It also contains eight second order features: Contrast, Energy, ASM (Angular second moment), Entropy, Homogeneity, Dissimilarity, Correlation, and Coarseness. The machine learning models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, and Support Vector Machine. The deep learning models used in this project are MobileNet and ResNet50. In this project, you will develop a GUI using PyQt5 to plot boundary decision, ROC, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, training loss, and training accuracy.