Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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| # OpenClaw Implementation Prompts | |
| Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter. | |
| --- | |
| ## 1) Personal CRM Intelligence | |
| ``` | |
| Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach. |
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| # Docker compose to set up containers for all services you need: | |
| # VPN | |
| # Sonarr, Radarr, Lidarr, Qbittorrent | |
| # Non-VPN | |
| # Plex, get_iplayer | |
| # Before running docker-compose, you should pre-create all of the following folders. | |
| # Folders for Docker State: | |
| # /volume1/dockerdata. - root where this docker-compose.yml should live | |
| # /volume1/dockerdata/plex - Plex config and DB | |
| # /volume1/dockerdata/sonarr - Sonarr config and DB |
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| ''' Demo script experimenting with various features of the | |
| inspect module | |
| ''' | |
| # To be run with Python3.3 | |
| from inspect_test import MyClass | |
| from inspect_test import myfunc | |
| from inspect_test import mygen |