09 - Authentication.zip
186.5 MB
09 - Authentication
10 - Working with files.zip
150.5 MB
10 - Working with files
11 - Tasks.zip
210 MB
11 - Tasks
12 - More concepts.zip
237.5 MB
12 - More concepts
13 - Dependencies.zip
175.1 MB
13 - Dependencies
14 - OCR application.zip
58.2 MB
14 - OCR application
15 - Blog site - FastAPI.zip
205.1 MB
15 - Blog site - FastAPI
16 - Blog site - React JS.zip
400.6 MB
16 - Blog site - React JS
17 - Instagram - FastAPI - Part 01.zip
470.5 MB
17 - Instagram - FastAPI - Part 01
17 - Instagram - FastAPI - Part 02.zip
263.1 MB
17 - Instagram - FastAPI - Part 02
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18 - Instagram client - React JS - Part 01.zip
465.9 MB
18 - Instagram client - React JS - Part 01
18 - Instagram client - React JS - Part 02.zip
361.6 MB
18 - Instagram client - React JS - Part 02
19 - Instagram client - Android - Part 01.zip
432.4 MB
19 - Instagram client - Android - Part 01
19 - Instagram client - Android - Part 02.zip
483.4 MB
19 - Instagram client - Android - Part 02
20 - Warehouse app with Microservices and Redis - Part 01.zip
425.7 MB
20 - Warehouse app with Microservices and Redis - Part 01
20 - Warehouse app with Microservices and Redis - Part 02.zip
296.7 MB
20 - Warehouse app with Microservices and Redis - Part 02
21 - Conclusion.zip
1.5 MB
21 - Conclusion
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🔅 Advanced Python: Practical Database Examples
🌐 Author: Kathryn Hodge
🔰 Level: Advanced
⏰ Duration: 1h 48m
🌀
📗 Topics: Database Development, Python
📤 Join @python_trainings for more courses
🌐 Author: Kathryn Hodge
🔰 Level: Advanced
⏰ Duration: 1h 48m
🌀
Level up as a Python developer working with databases in this advanced, skills-based course.📗 Topics: Database Development, Python
📤 Join @python_trainings for more courses
👍20❤6
🔸 Full description 🔸
Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.
Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.
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