Pemrograman Python Untuk Pelajar Mahasiswa

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Pemrograman Python Untuk Pelajar Mahasiswa

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Author : Hamzan Wadi, ST
language : id
Publisher: TR Publisher
Release Date :

Pemrograman Python Untuk Pelajar Mahasiswa written by Hamzan Wadi, ST and has been published by TR Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Buku ini ditujukan bagi para pembelajar baik dari kalangan pelajar, mahasiswa, insinyur, peneliti dan pengembang perangkat lunak yang ingin belajar pemrograman Python dari awal. Dengan menekankan konsep learning by doing, buku ini hadir dengan contoh-contoh yang kasuistik dan implementatif. Buku ini mengajak pembaca untuk mencoba dan berlatih setiap hari, langkah demi langkah, sehingga pembaca memahami betul setiap pembahasan yang ada. Pembahasan di dalam buku ini tidak bertele-tele dan dan tidak teoritis. Setiap pembahasan di dalam buku ini disajikan secara singkat padat dan jelas, serta langsung kepada contoh yang mengimplementasikan pembahasan tersebut. Buku ini membahas secara komprehensip prinsip-prinsip pemrograman Python yang meliputi pengenalan interpreter Pyhton, variabel, tipe data, berbagai operator seperti operator aritmatika, operator logika, operator bitwise, operator perbandingan/relasional; tipe data gabungan seperti list, tuple, set dan dictionaries; berbagai statement perulangan, statement pengendalian kondisi/statmet kondisional, fungsi, modul, operasi file, kelas dan objek, teknik pewarisan dan enkapsulasi dalam kelas, pemrograman database, pemrograman GUI, dan pemrograman web menggunakan CGI.

Step By Step Neural Networks For Image Classification Using Python Gui

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Author : Hamzan Wadi
language : en
Publisher: Turida Publisher
Release Date :

Step By Step Neural Networks For Image Classification Using Python Gui written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

This book provides a practical explanation of the backpropagation neural networks algorithm and how it can be implemented for image classification. The discussion in this book is presented in step by step so that it will help readers understand the fundamental of the backpropagation neural networks and its steps. This book is very suitable for students, researchers, and anyone who want to learn and implement the backpropagation neural networks for image classification using PYTHON GUI. The discussion in this book will provide readers deep understanding about the backpropagation neural networks architecture and its parameters. The readers will be guided to understand the steps of the backpropagation neural networks for image classification through case example. The readers will be guided to create their own neural networks class and build their complete applications for data image classification. The final objective of this book is that the readers are able to realize each step of the multilayer perceptron neural networks for image classification. In Addition, the readers also are able to create the neural networks applications which consists of two types of applications which are command window based application and GUI based application. Here are the material that you will learn in this book. CHAPTER 1: This chapter will guide you in preparing what software are needed to realize the backpropagation neural networks using Python GUI. The discussion in this chapter will start from installing Python and the libraries that will be used, installing Qt Designer, understanding and using Qt Designer to design the application UI, and the last is about how to create a GUI program using Python and Qt Designer. CHAPTER 2: This chapter discusses the important parts in the backpropagation neural networks algorithm which includes the architecture of the backpropagation neural networks, the parameters contained in the backpropagation neural networks, the steps of the backpropagation neural networks algorithm, and the mathematical calculations of the backpropagation neural networks. CHAPTER 3: This chapter discusses in detail the mathematical calculations of fruit quality classification using the backpropagation neural networks which includes the feature extraction process of fruit images, data normalization, the training process, and the classification process. The feature extraction method used in this case is GLCM (Gray Level Co-occurrence Matrix). The image features that will be used in this case are energy, contrast, entropy, and homogeneity. CHAPTER 4: This chapter discusses how to implement the backpropagation neural networks algorithm for fruit quality classification using Python. This chapter will present the steps to create your backpropagation neural networks class and to define the functions that represent each process of the backpropagation neural networks. This chapter will also present the steps to create a class for image processing. And in final discussion you will be guided to create your backpropagation neural networks application from scratch to classify the quality of fruit. CHAPTER 5: This chapter will discuss how to create a GUI based application for fruit quality classification using the backpropagation neural networks algorithm. This chapter will discuss in detail the steps for designing the application UI by using Qt Designer, the steps for creating a class for the backpropagation neural networks GUI based application, and how to run the GUI based application to classify the fruit data.

Step By Step Database Programming Using Python Gui Mysql

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Author : Hamzan Wadi
language : en
Publisher: TURIDA Publisher
Release Date :

Step By Step Database Programming Using Python Gui Mysql written by Hamzan Wadi and has been published by TURIDA Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

This book provides a practical explanation of database programming using Python GUI & MySQL. The discussion in this book is presented in step by step so that it will help readers understand each material and also will make it easier for the readers to follow all of the instructions. This book is very suitable for students, programmers, and anyone who want to learn database programming using Python GUI & MySQL from scratch. This book is divided into two parts: The first part of this book will discuss about the fundamentals of database programming using Python GUI & MySQL. This part will discuss in detail about how to setup your working environment and how to understand GUI programming using Python. This part will also discuss in detail about how to start your database programming using Python GUI & MySQL. This part will discuss in detail about the basic of database programming using Python GUI & MySQL. The second part of this book will discuss about how to build database application using Python GUI & MySQL. This part will discuss in detail about how to build Multiple Document Interface (MDI) database application through real project-based example. This part will discuss in detail about how to design and create database for Library Management System application, and how to create all forms for the application. The final objective of this book is that the readers are able to create real database application using Python GUI & MySQL. Here are the materials that you will learn in this book. PART I: THE FUNDAMENTAL OF DATABASE PROGRAMMING USING PYTHON GUI & MySQL CHAPTER 1: The discussion in this chapter will guide you in preparing what software are needed to start your database programming using Python GUI. This chapter will guide you to install all software including Python, MySQL, and Qt Designer. In addition, this chapter also will discuss about how to understand and use Qt Designer for user interface design, and how to create a GUI application using Python and Qt Designer. CHAPTER 2: The discussion in this chapter will guide you to start your database programming using Python GUI & MySQL. This chapter will discuss in detail about the basic of database programming using Python GUI & MySQL. The discussion in this chapter will talk about how to create and drop database, how to create and drop table, how to insert data into table, how to display data from table, how to update data in table, and how to delete data in table. All discussions in this chapter will give you deep understanding of database programming using Python GUI & MySQL. PART II: BUILDING DATABASE APPLICATION USING PYTHON GUI & MySQL, CASE STUDY: LIBRARY MANAGEMENT SYSTEM APPLICATION CHAPTER 3: The discussion in this chapter will guide you to design and create database for library management system application. This is the first step that must be taken to create database application using Python GUI & MySQL. This chapter will discuss in detail about how to design the Entity Relationship Diagram (ERD) for library management system application. The discussion in this chapter will also talk about how to create database and its tables based on the ERD design using MySQL server. CHAPTER 4: The discussion in this chapter will guide you to create main form and login form for the application. This chapter will discuss in detail about how to create these two forms. These forms are the first two forms that we will create in building library management system application. This chapter will also discuss about how to run the application. CHAPTER 5: The discussion in this chapter will guide you to create user accounts form and members form for Library Management System application. This chapter will discuss in detail about how to create these two forms. This chapter will also discuss about how to add these two forms as MDI sub windows of the main form. And the final discussion of this chapter will guide you to use the forms to manage user accounts and members data of Library Management System application. CHAPTER 6: The discussion in this chapter will guide you to create authors form, genres form, and books form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add books form as MDI sub window of the main form. And the final discussion of this chapter will guide you to use the forms to manage authors, genres, and books data in Library Management System application. CHAPTER 7: The discussion in this chapter will guide you to create member search form, book search form, and loan transaction form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add loan transaction form as MDI sub window of the main form. And the final discussion of this chapter will guide you to use the forms to manage loan transactions in Library Management System application. CHAPTER 8: The discussion in this chapter will guide you to create members statistic form, books statistic form, and loan statistic form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add all of the forms as MDI sub windows of the main form. And the final discussion of this chapter will guide you to use all of the forms to display the statistics in the library.

Learn From Scratch Backpropagation Neural Networks Using Python Gui Mariadb

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Author : Hamzan Wadi
language : en
Publisher: Turida Publisher
Release Date :

Learn From Scratch Backpropagation Neural Networks Using Python Gui Mariadb written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

This book provides a practical explanation of the backpropagation neural networks and how it can be implemented for data prediction and data classification. The discussion in this book is presented in step by step so that it will help readers understand the fundamental of the backpropagation neural networks and its steps. This book is very suitable for students, researchers, and anyone who want to learn and implement the backpropagation neural networks for data prediction and data classification using PYTHON GUI and MariaDB. The discussion in this book will provide readers deep understanding about the backpropagation neural networks architecture and its parameters. The readers will be guided to understand the steps of the backpropagation neural networks for data prediction and data classification through case examples. In addition, readers are also guided step by step to implement the backpropagation neural networks for data prediction and data classification using PYTHON GUI and MariaDB. The readers will be guided to create their own backpropagation neural networks class and build their complete applications for data prediction and data classification. This book consists of three cases which are realized into complete projects using the Python GUI and MariaDB. The three cases that will be learned in this book are as follow. 1. Sales prediction using the backpropagation neural networks. 2. Earthquake data prediction using the backpropagation neural networks. 3. Fruit quality classification using the backpropagation neural networks. Each case in this book is equipped with a mathematical calculation that will help the reader understand each step that must be taken. The cases in this book are realized into three types of applications which are command window based application, GUI based application, and database application using Python GUI and MariaDB. The final result of this book is that the readers are able to realize each step of the backpropagation neural networks for data prediction and data classification. In Addition, the readers also are able to create the backpropagation neural networks applications which consists of three types of applications which are command window based application, GUI based application, and database application using Python GUI and MariaDB.

A Practical Guide To Decision Support System With Analytic Hierarchy Process Method Using Python Gui Mysql Case Study Determining Scholarship Recipients

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Author : Hamzan Wadi
language : en
Publisher: Turida Publisher
Release Date : 2023-04-26

A Practical Guide To Decision Support System With Analytic Hierarchy Process Method Using Python Gui Mysql Case Study Determining Scholarship Recipients written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-26 with Computers categories.

This book provides a practical explanation of the Analytic Hierarchy Process (AHP) method and its implementation in a decision support system to determine the scholarship recipients in a university. The discussion in this book is presented step-by-step, gradually, so that it will help readers understand every concept and stage of the AHP method and its implementation in decision support systems. This book is suitable for students, scholars, and researchers who want to implement the AHP method to build decision support systems using Python GUI and MySQL. The discussion in this book will provide readers with an understanding of the AHP method and how it works. Readers will be guided through each step of determining priority order using the AHP method through a case study accompanied by mathematical calculations. In addition, readers will also be guided step-by-step in implementing the AHP method in a decision support system to determine the scholarship recipients using Python GUI and MySQL. Readers will be guided step-by-step in designing a decision support system and realizing each design made using Python GUI and MySQL. The ultimate goal of this book is to enable readers to build a decision support system application independently by applying the AHP method to determine the scholarship recipients in a college using Python GUI and MySQL.

Pemrograman Android Untuk Pelajar Mahasiswa Belajar Praktek Langkah Demi Langkah

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Author : Hamzan Wadi, ST
language : id
Publisher: TR Publisher
Release Date :

Pemrograman Android Untuk Pelajar Mahasiswa Belajar Praktek Langkah Demi Langkah written by Hamzan Wadi, ST and has been published by TR Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.

Buku pemrograman Android ini merupakan jawaban atas masih minimnya panduan belajar yang bersifat instruktif dan praktis. Buku ini hadir dengan konsep “belajar dan praktek langkah demi langkah”. Setiap materi di dalam buku ini langsung diimplementasikan melalui contoh yang dijelaskan secara bertahap atau langkah demi langkah. Buku ini sangat cocok bagi pelajar, mahasiswa, atau kalangan umum yang ingin belajar pemrograman Android dari dasar hingga tingkat database. Buku ini menyajikan pondasi yang kuat bagi pembelajar yang ingin menjadi programmer Android professional. Pembahasan di dalam buku ini tidak bertele-tele dan dan tidak teoritis. Setiap pembahasan di dalam buku ini disajikan secara singkat padat dan jelas, serta langsung kepada contoh yang mengimplementasikan pembahasan tersebut. Pembelajar pemula yang ingin belajar melalui buku ini akan dipandu memahami setiap materi melalui contoh yang dijelaskan secara langakah demi langkah. Buku ini memebahas secara detail tentang pengenalan Android dan bagaimana memulai pemrograman Android menggunakan IDE Android Studio, perancangan layout antarmuka program, penggunaan kontrol-kontrol UI (User Interface), activity, intent, fragment, pembuatan menu pada program, service dan pemrograman database menggunakan SQLite.

Pemrograman Python Dalam Contoh Dan Penerapan

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Author : Prof. Dr. Moechammad Sarosa, Dipl.Ing., MT.
language : id
Publisher: Media Nusa Creative (MNC Publishing)
Release Date : 2022-07-25

Pemrograman Python Dalam Contoh Dan Penerapan written by Prof. Dr. Moechammad Sarosa, Dipl.Ing., MT. and has been published by Media Nusa Creative (MNC Publishing) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Computers categories.

Buku ini menyampaikan tentang dasar-dasar Bahasa pemrograman Python yang saat ini banyak diminati dan dibutuhkan oleh berbagai kalangan seperti mahasiswa, akademisi, peneliti, engineer dan software developer. Selain itu, pada buku ini juga memberikan contoh implementasi Python untuk membangun Chatbot. K

Logika Pemrograman Python

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Author : Abdul Kadir
language : id
Publisher: Elex Media Komputindo
Release Date : 2019-07-15

Logika Pemrograman Python written by Abdul Kadir and has been published by Elex Media Komputindo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-15 with Education categories.

Buku ini sangat cocok digunakan untuk pelajar, mahasiswa, atau siapa saja yang bermaksud untuk mempelajari pemrograman komputer dengan menggunakan bahasa Python. Buku ini lebih menekankan pada cara untuk menyelesaikan masalah. Oleh karena itu, banyak contoh permasalahan yang diberikan dan cara untuk menyelesaikannya. Contoh-contoh yang cukup banyak dan bahasa yang mudah dipahami membuat buku ini sangat mudah digunakan dan dapat menjadi penuntun untuk belajar bahasa Python secara mandiri.

Bahasa Pemrograman Komputer Menggunakan Python

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Author : Basrul
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2023-03-07

Bahasa Pemrograman Komputer Menggunakan Python written by Basrul and has been published by PT. Sonpedia Publishing Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-07 with Computers categories.

Buku ajar Bahasa Pemrograman Komputer Menggunakan Python ini, menyajikan materi teori dan konsep serta implementasinya dalam pembuatan progam dengan Python. Buku ajar ini terdiri dari tujuh materi pembelajaran, yaitu konsep dasar pemrograman, pengenalan Python, sintak dasar, output & input data, percabangan dan perulangan serta fungsi dalam pemrograman Python. Dalam buku ajar ini disajikan juga contoh-contoh koding menggunakan bahasa Python dan juga latihan untuk dapat mengevaluasi hasil belajar dari setiap materi. Harapan dengan mempelajari buku ini pembaca, khususnya bagi yang sedang belajar pemrograman dengan Python, mampu mempelajari bahasa pemrogaman mulai dari teori hingga implementasinya dalam pembuatan koding.

Implementasi Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui

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Author : Hamzan Wadi
language : id
Publisher: TURIDA PUBLISHER
Release Date :

Implementasi Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui written by Hamzan Wadi and has been published by TURIDA PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Buku ini merupakan kasus ketiga dari seri implementasi jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Buku ini menyajikan penjelasan praktis tentang jaringan syaraf tiruan Backpropagation dan bagaimana implementasinya untuk memprediksi data time series, dimana dalam buku ini kasus yang digunakan adalah data kurs jual rupiah terhadap USD. Pembahasan dalam buku ini disajikan secara bertahap dan langkah demi langkah sehingga akan membantu pembaca memahami setiap konsep dan tahapan dari algoritma jaringan syaraf tiruan Backpropagation. Buku ini sangat cocok untuk pelajar, mahasiswa, dan peneliti yang ingin mengimplementasikan jaringan syaraf tiruan Backpropagation dengan menggunakan PYTHON GUI. Pembahasan dalam buku ini akan memberikan pemahaman pada pembaca tentang arsitektur JST Backpropagation dan parameter-parameter yang terdapat didalamnya. Pembaca akan dibantu memahami setiap langkah untuk melakukan prediksi melalui contoh kasus dan perhitungan matematisnya. Selain itu, pembaca juga dibimbing secara bertahap dan langkah demi langkah untuk mengimplementasikan jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Pembaca akan dibimbing untuk merealisasikan setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation ke dalam kelas dan fungsi-fungsi yang diciptakan sendiri. Hasil akhir dari buku ini adalah pembaca mampu merealisasikan sendiri setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation untuk memprediksi kurs jual rupiah terhadap USD menggunakan PYTHON menjadi aplikasi yang berbasis Command Windows dan aplikasi yang berbasis GUI.