This channel is to share my knowledge on computers and programming.
Sessions, programming boot camps, videos on how things work.

Session 18: Scheduling, types and usage, virtual environment
1:05:51
Session 18: Scheduling, types and usage, virtual environment
Session 17: Simple UI + API integration
1:02:26
Session 17: Simple UI + API integration
Session 16: Project - Putting things together
1:02:57
Session 16: Project - Putting things together
Session 15: Creating APIs using Flask
1:08:39
Session 15: Creating APIs using Flask
Session 14: Databases
1:04:19
Session 14: Databases
Session 13: Logging
51:27
Session 13: Logging
Session 12: Unittest, code coverage
1:02:25
Session 12: Unittest, code coverage
Session 11: Sending automated e-mail
1:02:41
Session 11: Sending automated e-mail
Session 10: OAuth2.0 working with google calendar
1:02:12
Session 10: OAuth2.0 working with google calendar
Session 9: REST API, pdb, project refinement using AI (GPTs)
1:13:36
Session 9: REST API, pdb, project refinement using AI (GPTs)
Session 8: APIs
54:52
Session 8: APIs
Session 7: Prompt Engineering for Code
1:09:09
Session 7: Prompt Engineering for Code
Session 6: Functions, Web scraping with AI generated code
1:01:28
Session 6: Functions, Web scraping with AI generated code
Session 5: functions, modules, pip, requests library
1:10:31
Session 5: functions, modules, pip, requests library
Session 4: Mixed datatypes, file handling, json, git
1:05:08
Session 4: Mixed datatypes, file handling, json, git
Session 3: Mixed data types, Conditionals, Loops
1:08:14
Session 3: Mixed data types, Conditionals, Loops
Session 2: Compiled vs interpreted programs, data types
1:15:59
Session 2: Compiled vs interpreted programs, data types
Session 1: Context setting - Programs, Infrastructure and development
1:02:12
Session 1: Context setting - Programs, Infrastructure and development
Python | Project - Email, connecting dots | session 20
1:14:39
Python | Project - Email, connecting dots | session 20
Python | Project - Intro to data science | session 19
1:02:07
Python | Project - Intro to data science | session 19
Python | Logging | Session 18
1:05:19
Python | Logging | Session 18
Python | Database | session 17
1:05:37
Python | Database | session 17
Python | How to use git | Session 16
1:02:10
Python | How to use git | Session 16
Python | web scraping | session 15
1:15:36
Python | web scraping | session 15
Python | project- interfaces, web | session 14
57:21
Python | project- interfaces, web | session 14
Python | Project - Flow of information from requirements to code | session 13
1:09:16
Python | Project - Flow of information from requirements to code | session 13
Python | cmd args, built-in libs | session 12
1:05:57
Python | cmd args, built-in libs | session 12
Python | context managers, decorators | session 11
1:05:56
Python | context managers, decorators | session 11
Python | unit testing | session 10
57:22
Python | unit testing | session 10
Python | comprehensions, generators | session 09
51:17
Python | comprehensions, generators | session 09