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FULL SOURCE CODE: PRACTICAL DATA SCIENCE WITH MYSQL AND PYTHON GUI
In this project, we provide you with the MySQL version of SQLite sample database named chinook. The chinook sample database is a good database for practicing with SQL, especially SQLite. The detailed description of the database can be found on: https://www.sqlitetutorial.net/sqlite-sample-database/. There are 11 tables in the chinook sample database:The employee table stores employees data such as employee id, last name, first name, etc. It also has a field named ReportsTo to specify who reports to whom; customers table stores customers data; invoices & invoice_items tables: these two tables store invoice data. The invoice table stores invoice header data and the invoice_items table stores t...
STEP BY STEP TUTORIAL: JAVA/MYSQL With Object-Oriented Programming Using Apache NetBeans IDE PART 3
The sakila database consists of 15 tables including film, film_category, actor, customer, rental, payment and inventory among others. The sakila sample database, which is a fictitious database designed to represent a DVD rental store, is intended to provide a standard schema that can be used for examples in books, tutorials, articles, samples, and so forth. Our books, part 1 and part 2, had been published implementing the first eleven tables in sakila database: actor, language, film, category, film_category, film_actor, country, city, address, store, and staff tables. This book, as part 3, develops step by step object-oriented programming and Java GUI tutorial using NetBeans to implement the remaining four tables, customer, inventory, rental, and payment, in the Sakila sample database which is a fictitious database designed to represent a DVD rental store.
MOTION ANALYSIS AND OBJECT TRACKING USING PYTHON AND TKINTER
The first project in chapter one, gui_optical_flow_robust_local.py, showcases Dense Robust Local Optical Flow (RLOF) through a graphical user interface (GUI) built using the OpenCV library within a tkinter framework. The project's functionality and structure are comprehensively organized, starting with the importation of essential libraries such as tkinter for GUI, PIL for image processing, imageio for video file reading, and OpenCV (cv2) for optical flow computations. The VideoDenseRLOFOpticalFlow class encapsulates the application's core functionality, initializing the GUI window, managing user interactions, and processing video frames for optical flow calculation and visualization. The GU...
OBJECT-ORIENTED PROGRAMMING APPROACH TO LEARNING JDBC AND MYSQL USING APACHE NETBEANS IDE: PART 2
The Northwind database is a sample database, consisting 13 tables, that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP, with customers, orders, inventory, purchasing, suppliers, shipping, employees, and single-entry accounting. The Northwind database has since been ported to a variety of non-Microsoft databases, including MySQL. The Northwind dataset includes sample data...
STUDENT ACADEMIC PERFORMANCE ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON
The dataset used in this project consists of student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school-related features) and it was collected by using school reports and questionnaires. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In the two datasets were modeled under binary/five-level classification and regression tasks. Important note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st a...
ZERO TO MASTERY: THE COMPLETE GUIDE TO LEARNING MYSQL BASED MULTIFORM PYTHON GUI
In this project, we provide you with the MySQL version of The Oracle Database Sample Schemas that provides a common platform for examples in each release of the Oracle Database. The sample database is also a good database for practicing with SQL, especially MySQL. The detailed description of the database can be found on: http://luna-ext.di.fc.ul.pt/oracle11g/server.112/e10831/diagrams.htm#insertedID0. The four schemas are a set of interlinked schemas. This set of schemas provides a layered approach to complexity: A simple schema Human Resources (HR) is useful for introducing basic topics. An extension to this schema supports Oracle Internet Directory demos; A second schema, Order Entry (OE),...
DATA ANALYSIS USING JDBC AND POSTGRESQL WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE
This book is PostgreSQL version of our previous book titled “DATA ANALYSIS USING JDBC AND MYSQL WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE”. In this project, you will use the PostgreSQL version of Northwind database which is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP, with customers, orders, inventory, purchasing, suppliers, ship...
THREE BOOKS IN ONE: Deep Learning Using SCIKIT-LEARN, KERAS, and TENSORFLOW with Python GUI
BOOK 1: THE PRACTICAL GUIDES ON DEEP LEARNING USING SCIKIT-LEARN, KERAS, AND TENSORFLOW WITH PYTHON GUI In this book, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on recognizing traffic signs using GTSRB dataset, detecting brain tumor using Brain Image MRI dataset, classifying gender, and recognizing facial expression using FER2013 dataset In Chapter 1, you will learn to create GUI applications to display line graph using PyQt. You will also learn how to display image and its histogram. In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, Pandas, NumPy and other libraries to perform predict...
Data Science and Deep Learning Workshop For Scientists and Engineers
WORKSHOP 1: In this workshop, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to implement deep learning on recognizing traffic signs using GTSRB dataset, detecting brain tumor using Brain Image MRI dataset, classifying gender, and recognizing facial expression using FER2013 dataset In Chapter 1, you will learn to create GUI applications to display line graph using PyQt. You will also learn how to display image and its histogram. In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, Pandas, NumPy and other libraries to perform prediction on handwritten digits using MNIST dataset with PyQt. You will build a GUI applicatio...
DATA SCIENCE WORKSHOP: Lung Cancer Classification and Prediction Using Machine Learning and Deep Learning with Python GUI
This Data Science Workshop presents a comprehensive journey through lung cancer analysis. Beginning with data exploration, the dataset is thoroughly examined to uncover insights into its structure and contents. The focus then shifts to categorizing features and understanding their distribution patterns, revealing key trends and relationships that could impact the predictive models. To predict lung cancer using machine learning models, an extensive grid search is conducted, fine-tuning model hyperparameters for optimal performance. The iterative process involves training various models, such as K-Nearest Neighbors, Decision Trees, Random Forests, Gradient Boosting, Naive Bayes, Extreme Gradie...
