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Advanced Python- Working with multiple databases

  • Development
  • Nov 28, 2024
SynopsisAdvanced Python: Working with multiple databases, available...
Advanced Python- Working with multiple databases  No.1

Advanced Python: Working with multiple databases, available at $49.99, has an average rating of 4.75, with 58 lectures, based on 2 reviews, and has 1019 subscribers.

You will learn about Establishing database connections in Python. Performing CRUD operations (Create, Read, Update, Delete) on database records. Executing SQL queries using Pythons database APIs. Working with different database management systems such as MySQL, PostgreSQL, SQLite, SQL Server Building a Python Application Connecting Python Application to multiple databases Creating databases and tables This course is ideal for individuals who are Beginner Python Developers or Beginner Data Analyst It is particularly useful for Beginner Python Developers or Beginner Data Analyst.

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Summary

Title: Advanced Python: Working with multiple databases

Price: $49.99

Average Rating: 4.75

Number of Lectures: 58

Number of Published Lectures: 58

Number of Curriculum Items: 58

Number of Published Curriculum Objects: 58

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

  • Establishing database connections in Python.
  • Performing CRUD operations (Create, Read, Update, Delete) on database records.
  • Executing SQL queries using Pythons database APIs.
  • Working with different database management systems such as MySQL, PostgreSQL, SQLite, SQL Server
  • Building a Python Application
  • Connecting Python Application to multiple databases
  • Creating databases and tables
  • Who Should Attend

  • Beginner Python Developers
  • Beginner Data Analyst
  • Target Audiences

  • Beginner Python Developers
  • Beginner Data Analyst
  • In today’s data-driven world, businesses rely on multiple relational databases to store and manage their valuable information. Python, being a powerful and versatile programming language, offers a wide range of tools and libraries that enable seamless integration and interaction with these databases. In this advanced Python course, you will explore the intricacies of working with multiple relational databases and learn how to harness Python’s capabilities to manipulate, query, and manage data effectively across different database systems.

    When creating Python programs, you’ll likely want to populate data in an application automatically, or save data between user sessions. Databases help you to do this. They provide an organized structure so you can easily access, store, and manage large amounts of data. In this course, we’ll look at how to use databases in Python 3, we’ll create databases in SQLite, MySQL, SQL Server, Postgres. Then we’ll experiment with those databases using special Python modules that implement the Python database API.

    By the end of this course, you will have gained the expertise to confidently work with multiple relational databases using Python, enabling you to seamlessly integrate, manage, and manipulate data across different database systems. Whether you are a data engineer, database administrator, or Python developer, this advanced course will equip you with the skills and knowledge to tackle complex database challenges and drive impactful solutions in your organization. Join us on this exciting journey to master the art of advanced Python – working with multiple relational databases.

    Course Curriculum

    Chapter 1: Introduction and Python Setup

    Lecture 1: Introduction

    Lecture 2: What is a database

    Lecture 3: Python Database API

    Lecture 4: Install Python on Windows

    Lecture 5: Install Python on Macs

    Lecture 6: Note on text editors

    Lecture 7: Installing Visual Studio Code

    Lecture 8: Create project directory and Python file

    Chapter 2: Build an application with Python

    Lecture 1: What we will create

    Lecture 2: The application design sketch

    Lecture 3: Creating the application GUI – Part 1

    Lecture 4: Creating the application GUI – Part 2

    Lecture 5: Creating the application GUI – Part 3

    Lecture 6: Creating the application GUI – Part 4

    Lecture 7: Creating the application GUI – Part 5

    Chapter 3: Python and Microsoft SQL Server Database Interaction

    Lecture 1: Download SQL Server

    Lecture 2: Install SQL Server

    Lecture 3: Install SQL Server Management Studio – SSMS

    Lecture 4: Connect SSMS to SQL Server

    Lecture 5: Create a new database and table

    Lecture 6: Create a database configuration file

    Lecture 7: Install Python SQL Server Connector

    Lecture 8: Connect Python file to SQL Server Database

    Lecture 9: Create a cursor object

    Lecture 10: Create a class and methods

    Lecture 11: Add more methods

    Lecture 12: Create a function for selected rows

    Lecture 13: Create more functions

    Lecture 14: Activate button widgets

    Lecture 15: Python and SQL Server Database Interaction: Part 1

    Lecture 16: Python and SQL Server Database Interaction: Part 2

    Chapter 4: Python and MySQL Database Interaction

    Lecture 1: Installing MySQL

    Lecture 2: Install MySQL on Mac

    Lecture 3: MySQL Workbench

    Lecture 4: Create a database and table

    Lecture 5: Create a database configuration file

    Lecture 6: Install Python MySQL Connector

    Lecture 7: Python MySQL Connection Configuration

    Lecture 8: Testing Python and MySQL Database Connection

    Lecture 9: Python and MySQL Database Interaction: Part 1

    Lecture 10: Python and MySQL Database Interaction: Part 2

    Chapter 5: Python and PostgreSQL Database Interaction

    Lecture 1: Install PostgreSQL

    Lecture 2: Connect to PostgreSQL with PgAdmin

    Lecture 3: Create a database and table

    Lecture 4: Create a sequence

    Lecture 5: Database configuration file

    Lecture 6: Install Python PostgreSQL Database Connector

    Lecture 7: Modify app to connect to PostgreSQL

    Lecture 8: Testing the connection to PostgreSQL

    Lecture 9: Python and PostgreSQL Database Interaction – Part 1

    Lecture 10: Python and PostgreSQL Database Interaction – Part 2

    Chapter 6: Python and SQLite Database Interaction

    Lecture 1: Installing SQLite

    Lecture 2: Modify Python App to connect to SQLite

    Lecture 3: Test connection to SQLite Database

    Lecture 4: Python and SQLite Interaction

    Lecture 5: SQLite Studio

    Lecture 6: DB Browser for SQLite

    Lecture 7: Viewing database records

    Instructors

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  • Frequently Asked Questions

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