Stanleyy03840
commented
2 years ago 9.25/10 Quality of work
- [x] Share link(s) on slack to final work: GitHub pages, Replit, Review Ticket(s), TimeBox, or other methods you have used to organize work.
Coding Review
Individual Coding:
- [ ] GitHub Pages showing key learnings and challenges conquered from Tech Talks -.25; didn't demonstrate enough of github page
- [x] GitHub commits you have made, show GitHub insights into your code commits.
- [x] Show Code running on Replit as well as IntelliJ
- [x] Menu review illustrating use of Lists and navigation: show runtime, code organization, code and comments
- [x] List and Loops: show runtime, code organization, code and comments
- [x] Class review and understanding: show runtime, code organization, code and comments
- [ ] Show Crossover contribution: Highlight work you did in crossover project: show their Replit runtime, code commit(s) in their -0.5: didn't really highlight contributions to crossover github page/replit
- [x] GitHub repo. Show anything you have done to enhance what you have learned from Python code
Video 2 minutes: showing the above, quality suggested as follows
- [x] Make sure you cover everything, but create your own order and optimize time
- [x] Use Voice or Captions. Try not to wiggle mouse a lot or over scroll. Make sure you have a clear plan before you start.
- [x] Perform video in small parts 15-30 seconds and finish a key subject. Then put the final Video together with Video editing or Youtube playlists.
Coding Review
Individual Coding: GitHub Pages showing key learnings and challenges conquered from Tech Talks GitHub commits you have made, show GitHub insights into your code commits. Show Code running on Replit as well as IntelliJ Menu review illustrating use of Lists and navigation: show runtime, code organization, code and comments List and Loops: show runtime, code organization, code and comments Class review and understanding: show runtime, code organization, code and comments Show Crossover contribution: Highlight work you did in crossover project: show their Replit runtime, code commit(s) in their GitHub repo. Show anything you have done to enhance what you have learned from Python code