CourseClub NET Packtpub Com - Tips Tricks and Techniques for Python Application Development

1. 1.Python Performance/01.The Course Overview.mp46.05MB
2. 1.Python Performance/02.Identifying Bottlenecks.mp422.56MB
3. 1.Python Performance/03.Speeding Up I_O-bound Tasks.mp419.63MB
4. 1.Python Performance/04.Speeding Up CPU-bound Tasks.mp417.97MB
5. 1.Python Performance/05.Move Time-critical Tasks to C_C++ Libraries.mp453.96MB
6. 1.Python Performance/06.Alternative Python Runtimes.mp413.51MB
7. 2.Distributing Python Applications/07.Setuptools.mp436.99MB
8. 2.Distributing Python Applications/08.Source Distribution and Wheels.mp438.19MB
9. 2.Distributing Python Applications/09.Standalone Executables.mp420.45MB
10. 2.Distributing Python Applications/10.Docker.mp432.55MB
11. 3.Testing Python Applications with PyTest/11.Unit Testing and Coverage.mp443.63MB
12. 3.Testing Python Applications with PyTest/12.Complex Tests and Coverage.mp439.88MB
13. 3.Testing Python Applications with PyTest/13.Python Test Driven Development.mp436.67MB
14. 3.Testing Python Applications with PyTest/14.Integration Testing.mp433.28MB
15. 3.Testing Python Applications with PyTest/15.Python Behavior Driven Development.mp447.04MB
16. 4.Productivity in Python Development/16.Managing Python Environments Efficiently.mp433.57MB
17. 4.Productivity in Python Development/17.Python Package Management.mp428.8MB
18. 4.Productivity in Python Development/18.Debugging and Navigating Python Bytecode.mp433.27MB
19. 4.Productivity in Python Development/19.Prototyping Using the Python Shell and Jupyter.mp423.16MB
20. 5.Code Quality/20.Linting.mp416.34MB
21. 5.Code Quality/21.Static Code Analysis.mp442.12MB
22. 5.Code Quality/22.Type Checking.mp419.44MB