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PluralSight – Working With Django Models

PluralSight – Working With Django Models Bookware-KNiSO
English | Size: 369.30 MB
Category: Tutorial


Django s ORM is one of the most powerful and easy to use ORMs available. This course will teach you how to leverage the full power of Django Models to build better data models for your web applications

Linkedin Learning – AutoCAD Working with Utilities and Properties

Linkedin Learning – AutoCAD Working with Utilities and Properties-BLOAT
English | Size: 395.56 MB
Category: Tutorial


AutoCAD is one of the world s top design and drafting tools, used in industries like engineering, manufacturing, architecture, and more. In this course, Autodesk Certified Instructor Shaun Bryant digs into AutoCAD utilities and properties, showing how to use their capabilities to organize your designs and enhance your drawings.

Linkedin Learning – Microsoft Teams Working with External Guests

Linkedin Learning – Microsoft Teams Working with External Guests-AMAZEBALLS
English | Size: 73.89 MB
Category: Management


You can use the communication and collaboration features of Microsoft Teams with anyone, whether or not they’re inside your organization.

Lynda – Advanced Python Working with Databases

Lynda – Advanced Python Working with Databases
English | Size: 1,014.34 MB
Category: Tutorial


To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.