Database Programming with Python
Database Programming with Python, available at $49.99, has an average rating of 4.1, with 74 lectures, based on 301 reviews, and has 1510 subscribers.
You will learn about Install and configure the tools required for working with Python and databases including development tools, drivers, and modules Design a database within SQLite, MySQL, and SQL Server Normalize a database including establishing keys and relationships Use an RDBMS to manually add data to a database Use the Structured Query Language (SQL) to write create, retrieve, update, and delete (CRUD) statements Use Eclipse and Python to connect to a database and perform CRUD operations Build out a full-functioning Help Desk application using Python and SQLite This course is ideal for individuals who are Beginner to intermediate Python developers curious about integrating databases into their workflows. or This course is not intended for experienced Python developers already familiar with relational and object-oriented database development with Python. It is particularly useful for Beginner to intermediate Python developers curious about integrating databases into their workflows. or This course is not intended for experienced Python developers already familiar with relational and object-oriented database development with Python.
Enroll now: Database Programming with Python
Summary
Title: Database Programming with Python
Price: $49.99
Average Rating: 4.1
Number of Lectures: 74
Number of Published Lectures: 74
Number of Curriculum Items: 74
Number of Published Curriculum Objects: 74
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Install and configure the tools required for working with Python and databases including development tools, drivers, and modules
- Design a database within SQLite, MySQL, and SQL Server
- Normalize a database including establishing keys and relationships
- Use an RDBMS to manually add data to a database
- Use the Structured Query Language (SQL) to write create, retrieve, update, and delete (CRUD) statements
- Use Eclipse and Python to connect to a database and perform CRUD operations
- Build out a full-functioning Help Desk application using Python and SQLite
Who Should Attend
- Beginner to intermediate Python developers curious about integrating databases into their workflows.
- This course is not intended for experienced Python developers already familiar with relational and object-oriented database development with Python.
Target Audiences
- Beginner to intermediate Python developers curious about integrating databases into their workflows.
- This course is not intended for experienced Python developers already familiar with relational and object-oriented database development with Python.
It’s not often that you get to use a language as powerful and as versatile as Python. Python is a great language for writing web applications, cross-platform desktop applications, Artificial Intelligence software, shell scripts, perform scientific computation, games, and even connect to and work with a myriad of relational and document-oriented database solutions. This course gets you up and running with using Python to program against relational and document-oriented databases such as SQLite, MySQL, SQL Server, and MongoDB. It teaches you the basic concepts of relational data, databases, tables, SQL, and walks you through the code required to connect to these databases and perform CRUD (create, retrieve, update, and delete) operations within them using Python. When you’re finished with this course, you’ll have a solid foundation to go out and start building your own database applications using Python.
Course Curriculum
Chapter 1: Introduction to Python, Databases, and Tools
Lecture 1: Introduction
Lecture 2: The Importance of Data
Lecture 3: Introduction to Python
Lecture 4: What can I do with Python?
Lecture 5: Introduction to Databases
Lecture 6: Database and RDBMS Options
Lecture 7: SQLite and SQLite Studio
Lecture 8: MySQL and PhpMyAdmin
Lecture 9: SQL Server and Management Studio
Lecture 10: ODBC, DB API, and pyodbc
Lecture 11: Installing the Tools for this Course
Lecture 12: Installing Python
Lecture 13: Installing Eclipse
Lecture 14: Installing PyDev
Lecture 15: Installing the pyodbc Module
Lecture 16: Installing the MySQL Driver
Lecture 17: Installing the Microsoft ODBC Driver
Chapter 2: Creating Databases and Tables
Lecture 1: Introduction
Lecture 2: Introduction to Relational Data
Lecture 3: Planning and Designing a Database
Lecture 4: Tables, Records, and Columns
Lecture 5: Assigning Data Types
Lecture 6: Normalization
Lecture 7: Keys and Relationships
Lecture 8: An Overview of the Vecta Corp. Help Desk Database Structure
Lecture 9: The Employees Table
Lecture 10: The Roles Table
Lecture 11: The Tickets Table
Lecture 12: The Solutions Table
Lecture 13: The Status Table
Lecture 14: Lab 1a: Creating the Database and Tables in SQLite
Lecture 15: Lab 1b: Creating the Database and Tables in SQL Server
Lecture 16: Lab 1c: Creating the Database and Tables in MySQL
Lecture 17: Lab 2a: Establishing the Relationships in SQLite
Lecture 18: Lab 2b: Establishing the Relationships in SQL Server
Lecture 19: Lab 2c: Establishing the Relationships in MySQL
Lecture 20: Lab 3a: Manually Adding Data to the Tables in SQLite
Lecture 21: Lab 3b: Manually Adding Data to the Tables in SQL Server
Lecture 22: Lab 3c: Manually Adding Data to the Tables in MySQL
Chapter 3: Introduction to SQL
Lecture 1: Introduction
Lecture 2: Introduction to the Structured Query Language (SQL)
Lecture 3: The SELECT Command
Lecture 4: Filtering and Ordering Data with Clauses
Lecture 5: Operators for Advanced Querying
Lecture 6: The INSERT INTO Command
Lecture 7: The UPDATE Command
Lecture 8: The DELETE Command
Lecture 9: SQL Expressions and Aliases
Lecture 10: Common SQL Functions
Lecture 11: Joining Related Tables
Chapter 4: Python and Relational Databases
Lecture 1: Lecture Introduction
Lecture 2: Setting Up and Importing the Required Modules
Lecture 3: Connecting to a SQLite Database
Lecture 4: Connecting to a MySQL Database
Lecture 5: Connecting to a SQL Server Database
Lecture 6: How to Execute SELECT Statements
Lecture 7: How to Get the Rows in a Result Set
Lecture 8: How to Get Data from a Database View
Lecture 9: How to Insert Data into a Database
Lecture 10: How to Update Data in a Database
Lecture 11: How to Delete Data from a Database
Lecture 12: How to Handle Database Exceptions
Chapter 5: Project
Lecture 1: Lecture Introduction
Lecture 2: Setting Up the Administrative Dashboard
Lecture 3: Creating the Database Layer
Lecture 4: Creating the Object Layer
Lecture 5: Creating the User Interface (UI) Layer
Lecture 6: Lab 1: On Your Own! Displaying the User Role
Lecture 7: Lab 2: On Your Own! Logging In the Admin
Lecture 8: Setting Up the Help Desk Dashboard
Lecture 9: Creating the Object Layer
Lecture 10: Creating the Database Layer
Lecture 11: Creating the User Interface (UI) Layer
Lecture 12: Lab 3: On Your Own! Getting Employees When Adding Tickets
Instructors
-
Zak Ruvalcaba
Web App Developer, Programmer, Professor, Author, Athlete
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 10 votes
- 3 stars: 52 votes
- 4 stars: 107 votes
- 5 stars: 125 votes
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