Talk Python To Me

#344: SQLAlchemy 2.0

Dec 9, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
Python's Popularity and Appearance Surprise Me
01:31 • 2min
3
How to Make Python More Accessible
03:22 • 3min
4
The Philosophies of SQL Alchemy
05:55 • 2min
5
The Importance of Echo Equals True in SQL
07:36 • 2min
6
The Power of Reproducibility in Python
09:41 • 2min
7
How to Type a Column in a Database
12:10 • 2min
8
The Best Way to Make Declarative Cleaner in Python
14:32 • 2min
9
The Importance of Data Classes in Python
16:10 • 2min
10
SQL Model: A Data Class Model
18:31 • 2min
11
The Philosophy of SQL Academy
20:43 • 1min
12
SQL Model 1.4 in Name
22:10 • 2min
13
SQL V2O 1.4: A Transitional Release
23:49 • 2min
14
The Importance of Clearing SQL Statements
25:55 • 2min
15
Python 3 and the School Caching System
27:25 • 2min
16
The Over M Process for SQL Company Statements
29:04 • 2min
17
The Difference Between C Code and Python
31:19 • 2min
18
How to Speed Up Your Python Programming
33:12 • 2min
19
Python's Memory Model
35:22 • 1min
20
How to Reduce Reference Cycles in a Database
36:51 • 2min
21
HTMLX Plus Flask, Modern Python Web Apps, Hold the JavaScript
38:54 • 2min
22
Sync IO for SQL Academy
40:33 • 2min
23
The Benefits of Async IO for SQL Ocami
43:03 • 2min
24
SQL Ocami and the Async API
44:39 • 2min
25
The Differences Between Async and ORM Query
46:36 • 2min
26
SQL Be 1.4 and 2.0 Support the Context Manager Model
48:55 • 2min
27
How to Do Paginated Results
50:58 • 3min
28
Awesome SQL Academy
54:21 • 2min
29
The Importance of Database Migration
56:24 • 2min
30
Geo Alchemy: A Tool for Database Migration
57:57 • 2min
31
Geo Alchemy: A SQL Profiler for Applications
59:45 • 2min
32
The Async Debug Toolbar
01:01:29 • 2min
33
SQL Alchemy: A New Way of Working
01:03:05 • 3min