Advanced Python: Working with multiple databases

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Advanced Python Working with multiple databases [TutsNode.net] - Advanced Python Working with multiple databases 3. Python and Microsoft SQL Server Database Interaction
  • 13. Create more functions.mp4 (71.6 MB)
  • 14. Activate button widgets.mp4 (70.3 MB)
  • 11. Add more methods.mp4 (69.9 MB)
  • 2. Install SQL Server.mp4 (62.2 MB)
  • 5. Create a new database and table.mp4 (60.1 MB)
  • 12. Create a function for selected rows.mp4 (54.8 MB)
  • 15. Python and SQL Server Database Interaction Part 1.mp4 (44.9 MB)
  • 16. Python and SQL Server Database Interaction Part 2.mp4 (38.4 MB)
  • 3. Install SQL Server Management Studio - SSMS.mp4 (36.6 MB)
  • 10. Create a class and methods.mp4 (35.7 MB)
  • 8. Connect Python file to SQL Server Database.mp4 (34.0 MB)
  • 7. Install Python SQL Server Connector.mp4 (29.9 MB)
  • 6. Create a database configuration file.mp4 (28.4 MB)
  • 1. Download SQL Server.mp4 (23.2 MB)
  • 9. Create a cursor object.mp4 (13.1 MB)
  • 4. Connect SSMS to SQL Server.mp4 (12.5 MB)
1. Introduction and Python Setup
  • 2. What is a database.html (2.7 KB)
  • 3. Python Database API.html (1.6 KB)
  • 6. Note on text editors.html (0.2 KB)
  • 5. Install Python on Macs.mp4 (41.1 MB)
  • 7. Installing Visual Studio Code.mp4 (31.3 MB)
  • 4. Install Python on Windows.mp4 (20.9 MB)
  • 8. Create project directory and Python file.mp4 (7.0 MB)
  • 1. Introduction.mp4 (1.5 MB)
2. Build an application with Python
  • 6. Creating the application GUI - Part 4.mp4 (70.5 MB)
  • 5. Creating the application GUI - Part 3.mp4 (65.3 MB)
  • 3. Creating the application GUI - Part 1.mp4 (34.8 MB)
  • 7. Creating the application GUI - Part 5.mp4 (31.4 MB)
  • 4. Creating the application GUI - Part 2.mp4 (27.5 MB)
  • 2. The application design sketch.mp4 (8.6 MB)
  • 1. What we will create.mp4 (6.2 MB)
4. Python and MySQL Database Interaction
  • 1. Installing MySQL.mp4 (69.7 MB)
  • 2. Install MySQL on Mac.mp4 (41.4 MB)
  • 7. Python MySQL Connection Configuration.mp4 (36.8 MB)
  • 3. MySQL Workbench.mp4 (33.7 MB)
  • 4. Create a database and table.mp4 (29.5 MB)
  • 9. Python and MySQL Database Interaction Part 1.mp4 (13.8 MB)
  • 10. Python and MySQL Database Interaction Part 2.mp4 (9.8 MB)
  • 8. Testing Python and MySQL Database Connection.mp4 (8.7 MB)
  • 6. Install Python MySQL Connector.mp4 (8.6 MB)
  • 5. Create a database configuration file.mp4 (6.5 MB)
6. Python and SQLite Database Interaction
  • 1. Installing SQLite.mp4 (42.9 MB)
  • 2. Modify Python App to connect to SQLite.mp4 (32.3 MB)
  • 6. DB Browser for SQLite.mp4 (28.9 MB)
  • 7. Viewing database records.mp4 (24.9 MB)
  • 5. SQLite Studio.mp4 (23.9 MB)
  • 4. Python and SQLite Interaction.mp4 (14.0 MB)
  • 3. Test connection to SQLite Database.mp4 (9.9 MB)
5. Python and PostgreSQL Database Interaction
  • 1. Install PostgreSQL.mp4 (38.6 MB)
  • 2. Connect to PostgreSQL with PgAdmin.mp4 (33.8 MB)
  • 3. Create a database and table.mp4 (25.7 MB)
  • 4. Create a sequence.mp4 (20.8 MB)
  • 10. Python and PostgreSQL Database Interaction - Part 2.mp4 (15.3 MB)
  • 7. Modify app to connect to PostgreSQL.mp4 (15.2 MB)
  • 9. Python and PostgreSQL Database Interaction - Part 1.mp4 (10.2 MB)
  • 6. Install Python PostgreSQL Database Connector.mp4 (6.0 MB)
  • 5. Database configuration file.mp4 (5.1 MB)
  • 8. Testing the connection to PostgreSQL.mp4 (4.0 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

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.
Who this course is for:

Beginner Python Developers
Beginner Data Analyst

Requirements

Basic knowledge of Python advised
Basic knowledge of database concepts advised
Basic knowledge of SQL advised

Last Updated 5/2023



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Advanced Python: Working with multiple databases

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1.6 GB
seeders:64
leechers:37
Advanced Python: Working with multiple databases

Torrent hash: 9CD5E81F184C0D6ED43584BE320E5FEAFB23AC8E