Building Two Desktop Applications Using Python Gui And Mariadb
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Building Two Desktop Applications Using Python Gui And Mariadb
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2019-11-06
Building Two Desktop Applications Using Python Gui And Mariadb written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Computers categories.
In this book, you will create two desktop applications using Python GUI and MariaDB. This book is mariadb-based python programming Intentionally designed for various levels of interest and ability of learners, this book is suitable for students, engineers, and even researchers in a variety of disciplines. No advanced programming experience is needed, and only a few school-level programming skill are needed. In the first chapter, you will learn to use several widgets in PyQt5: Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following topics: Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In third chapter, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In fourth chapter, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In chapter five, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter six, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter nine, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Building Two Desktop Applications Using Python Gui And Mysql
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2019-11-07
Building Two Desktop Applications Using Python Gui And Mysql written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Computers categories.
In this book, you will create two desktop applications using Python GUI and MySQL. In this book, you will learn how to build from scratch a MySQL database management system using PyQt. In designing a GUI, you will make use of the Qt Designer tool. Gradually and step by step, you will be taught how to use MySQL in Python. In the first three chapters, you will learn Basic MySQL statements including how to implement querying data, sorting data, filtering data, joining tables, grouping data, subquerying data, dan setting operators. Aside from learning basic SQL statements, you will also learn step by step how to develop stored procedures in MySQL. First, we introduce you to the stored procedure concept and discuss when you should use it. Then, we show you how to use the basic elements of the procedure code such as create procedure statement, if-else, case, loop, stored procedure’s parameters. In the fourth chapter, you will learn: How PyQt and Qt Designer are used to create Python GUIs; How to create a basic Python GUI that utilizes a Line Edit and a Push Button. In the fifth chapter, you will study: Creating the initial three table in the School database project: Teacher table, Class table, and Subject table; Creating database configuration files; Creating a Python GUI for viewing and navigating the contents of each table. Creating a Python GUI for inserting and editing tables; and Creating a Python GUI to merge and query the three tables. In chapter six, you will learn: Creating the main form to connect all forms; Creating a project that will add three more tables to the school database: the Student table, the Parent table, and the Tuition table; Creating a Python GUI to view and navigate the contents of each table; Creating a Python GUI for editing, inserting, and deleting records in each table; Create a Python GUI to merge and query the three tables and all six tables. In chapter seven, you will create new database dan configure it. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter nine, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter ten, you will create two tables, Victim and Case_File. The Vicbtim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
A Step By Step To Database Programming Using Python Gui And Mariadb
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2020-01-06
A Step By Step To Database Programming Using Python Gui And Mariadb written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Computers categories.
In this book, you will create two desktop applications using Python GUI and MariaDB. This book is mariadb-based python programming Intentionally designed for various levels of interest and ability of learners, this book is suitable for students, engineers, and even researchers in a variety of disciplines. No advanced programming experience is needed, and only a few school-level programming skill are needed. In the first chapter, you will learn to use several widgets in PyQt5: Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following topics: Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In third chapter, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In fourth chapter, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In chapter five, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter six, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter nine, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
The Secrets Of Image Fusion Dengan Matlab Gui
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Author : Vivian Siahaan
language : id
Publisher: BALIGE PUBLISHING
Release Date : 2020-02-17
The Secrets Of Image Fusion Dengan Matlab 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 2020-02-17 with Computers categories.
Kasus 1: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Transformasi Wavelet Diskret Kompleks Dual-Tree Pada kasus ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode transformasi wavelet diskret dual-tree. Ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 2: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Transformasi Wavelet Diskret Stasioner Satu Level dan Dua Level Pada kasus ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Transformasi Wavelet Diskret Stasioner Satu level dan Dua level. Ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 3: IMAGE FUSION DENGAN MATLAB GUI Menggunakan Metode Dekomposisi Nilai Singular Resolusi Jamak (MSVD, Multi-Resolution Singular Value Decomposition) Buku ini diperuntukkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Metode Dekomposisi Nilai Singular Resolusi Jamak (MSVD, Multi-Resolution Singular Value Decomposition). Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 4: IMAGE FUSION Dengan MATLAB GUI: Teknik Fusi Citra Berwarna Berbasis Transformasi Kosinus Diskret Dan Piramida Laplacian Kasus ini diperuntukkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan teknik fusi citra terhadap citra keabuan dan citra berwarna menggunakan metode Teknik Fusi Citra Berbasis Transformasi Kosinus Diskret dan Piramida Laplacian. Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Listbox, Table, Push Button, Edit Text, Static Text, dan Panel. Hasil fusi citra (image fusion) kemudian akan ditampilkan secara visual dan enam parameter kinerja: RMSE, PFE, MAE, CORR, SNR, PSNR, akan ditampilkan pada grafik batang. Kasus 5: IMAGE FUSION Dengan MATLAB GUI: Teknik Fusi Citra Menggunakan Kriteria Ketajaman Berbasis Gradien Kasus ini dapat dipakai sebagai tutorial bagi mereka yang ingin bereksperimen mengembangkan GUI MATLAB, baik untuk kepentingan penelitian pemrosesan citra digital maupun kepentingan praktis lain. Buku ini dikhususkan bagi mereka yang suka keahlian praktis sekaligus mendapatkan keuntungan pengetahuan. Dengan tidak bertele-tele, pada buku ini, Anda akan merancang sendiri, secara bertahap, GUI MATLAB untuk melakukan operasi fusi citra terhadap citra keabuan dan citra berwarna menggunakan Teknik Fusi Citra Menggunakan Kriteria Ketajaman Berbasis Gradien. Untuk menguji kehandalan metode ini, ada empat jenis derau yang dipakai: Gaussin, Poisson, Salt & Pepper, dan Speckle.
Seri Belajar Sendiri Matlab Gui
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-14
Seri Belajar Sendiri Matlab Gui written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.
Pada buku ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan pembesaran citra (image zooming) menggunakan metode pembesaran Nearest-Neighbour dan metode pembesaran interpolasi Bilinear. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Push Button, Edit Text, Static Text, dan Panel. Hasil pembesaran berbasis kedua metode ini akan ditampilkan secara visual dan kinerjanya, menggunakan parameter MSE, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian.
Matlab Gui Untuk Pemrosesan Citra Digital
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-16
Matlab Gui Untuk Pemrosesan Citra Digital written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-16 with Computers categories.
Kasus 1: Seri Belajar Sendiri MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Butterworth 2D Pada kasus ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan penapisan Butterworth atas citra berwarn maupun citra keabuan. Keempat pita frekuensi: lowpass, bandpass, highpass, dan bandstop akan digunakan untuk mendemonstrasikan proses penapissan. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Table, Push Button, Radio Button, Edit Text, Static Text, dan Panel. Hasil penapisan Butterworth kemudian akan ditampilkan secara visual dan kinerjanya, menggunakan tujuh parameter kinerja, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian. Kasus 2: Belajar Sendiri MATLAB GUI Untuk Pembesaran Citra Digital Menggunakan Metode Nearest-Neighbour dan Interpolasi Bilinear Pada kasus ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan pembesaran citra (image zooming) menggunakan metode pembesaran Nearest-Neighbour dan metode pembesaran interpolasi Bilinear. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Push Button, Edit Text, Static Text, dan Panel. Hasil pembesaran berbasis kedua metode ini akan ditampilkan secara visual dan kinerjanya, menggunakan parameter MSE, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian. Kasus 3: Belajar Sendiri MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Chebyshev 2D Pada buku ini, Anda akan merancang sendiri, langkah demi langkah, GUI MATLAB untuk melakukan penapisan Chebyshev atas citra berwarn maupun citra keabuan. Keempat pita frekuensi: lowpass, bandpass, highpass, dan bandstop akan digunakan untuk mendemonstrasikan proses penapissan. Beberapa kontrol GUI MATLAB yang digunakan seperti Axes, Table, Push Button, Radio Button, Edit Text, Static Text, dan Panel. Hasil penapisan Chebyshev kemudian akan ditampilkan secara visual dan kinerjanya, menggunakan tujuh parameter kinerja, akan ditampilkan pada grafik batang. Naskah ini berguna bukan saja bagi programmer pemula tetapi juga bagi mahasiswa dan pengajar yang ingin mengembangkan penelitian pada bidang pemrosesan citra digital. Di akhir naskah, keseluruhan kode sumber dicantumkan sebagai bahan dokumentasi dan referensi. Pembaca dapat mengembangkannya untuk kebutuhan kepentingan praktis maupun kepentingan penelitian.
Mahir Visual C Dengan Membuat Animasi Dan Game
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Author : Vivian Siahaan
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-17
Mahir Visual C Dengan Membuat Animasi Dan Game written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Computers categories.
Pada bab pertama, Anda akan belajar bagaimana membangun aplikasi Visual C# dan bagaimana lingkungan pengembangan (IDE, integrated development environment) Visual C# digunakan untuk mengembangkan sebuah aplikasi game sederhana. Pada bab kedua, Anda akan membangun sebuah projek agar anak-anak (orang dewasa) dapat berlatih keterampilan dasar dalam operasi penjumlahan, pengurangan, perkalian, dan pembagian. Projek Game Matematika ini dapat dipakai untuk memilih jenis soal dan apa faktor yang ingin digunakan. Projek ini memiliki tiga opsi pewaktuan. Soal-soal matematika acak menggunakan nilai dari 0 sampai 9 akan disajikan. Opsi-opsi pewaktuan disediakan untuk mengukur akurasi dan kecepatan. Pada bab ketiga, Anda akan membangun sebuah program Ujian Pilihan Berganda. Item-item acak yang diekstraksi dari sebuah file akan ditampilkan pada user. User kemudian memilih item yang cocok. Sebagai contoh, jika sebuah ibukota ditampilkan, maka user akan memilih propinsi yang bersangkutan. Jawaban disajikan dalam pilihan berganda atau diketikkan sendiri oleh user. Pada bab keempat, Anda akan membangun sebuah program game kartu BlackJack. Program ini dapat dipakai oleh seorang pemain untuk melawan bandar komputer. Ide BlackJack adalah untuk mendapatkan skor lebih tinggi dari bandar tanpa melewati poin 21. Kartu-kartu dihitung sesuai nilainya (kecuali kartu Jack, Queen, dan King bernilai 10 dan Ace bernilai satu atau sebelas sesuai keinginan Anda). Jika Anda mengalahkan bandar, Anda mendapatkan 10 poin. Jika Anda mendapatkan BlackJack (nilai 21 hanya dengan dua kartu) dan mengalahkan bandar, Anda mendapatkan 15 poin. Jika bandar mengalahkan Anda, Anda kehilangan 10 poin. Semoga buku ini bermanfaat bagi mereka yang berminat memperdalam pemrograman C#. NET.
Matlab Gui Koleksi Enam Kasus
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Author : Rismon Hasiholan Sianipar
language : id
Publisher: SPARTA PUBLISHING
Release Date : 2020-02-20
Matlab Gui Koleksi Enam Kasus written by Rismon Hasiholan Sianipar and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with Computers categories.
Kasus 1: MATLAB GUI Untuk Mendeteksi Tepi Citra Menggunakan Sejumlah Metode Morfologi Kasus 2: MATLAB GUI Teknik Denoising Adaptif Berbasis Transformasi Wavelet Diskret Kasus 3: MATLAB GUI Untuk Merestorasi Citra Warna dan Citra Keabuan Menggunakan Tapis Inverse, Tapis Wiener, Dekonvolusi Buta, dan Algoritma Lucy-Richardson Kasus 4: MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Chebyshev 2D Kasus 5: MATLAB GUI Untuk Penapisan Citra Berwarna dan Citra Keabuan Menggunakan Tapis Butterworth 2D Kasus 6: GUI MATLAB Untuk Pembesaran Citra Digital Menggunakan Metode NearestNeighbour dan Interpolasi Bilinear
The Fast Way To Learn Python Gui With Mariadb And Sqlite
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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2020-01-15
The Fast Way To Learn Python Gui With Mariadb And Sqlite written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
This book explains relational theory in practice, and demonstrates through two projects how you can apply it to your use of MariaDB and SQLite databases. This book covers the important requirements of teaching databases with a practical and progressive perspective. This book offers the straightforward, practical answers you need to help you do your job. This hands-on tutorial/reference/guide to MariaDB and SQLite is not only perfect for students and beginners, but it also works for experienced developers who aren't getting the most from both databases. In designing a GUI and as an IDE, you will make use Qt Designer. In the first chapter, you will learn to use several widgets in PyQt5: Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following topics: Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In chapter three, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In chapter four, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In chapter five, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter six, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter eight, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter nine, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Learn From Scratch Backpropagation Neural Networks Using Python Gui Mariadb
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Author : Hamzan Wadi
language : en
Publisher: Turida Publisher
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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.