BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//American Young Coder - ECPv6.10.1.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:American Young Coder
X-ORIGINAL-URL:https://www.ayclogic.com
X-WR-CALDESC:Events for American Young Coder
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250121T173000
DTEND;TZID=America/Los_Angeles:20250121T183000
DTSTAMP:20260514T102633
CREATED:20250122T041250Z
LAST-MODIFIED:20250122T041250Z
UID:27951-1737480600-1737484200@www.ayclogic.com
SUMMARY:5:30 PM - AI / Machine Learning - Gamas
DESCRIPTION:Today We Did\n\nWe reviewed everyone individual project progress.\nWe started with Titanic Survivorship project.\n\nHomework\n\ntue-7-pm-pandas-hw. Homework needs to be completed using Pandas library. Research in the Internet how to use Python Pandas library. For those who cannot have Pycharm pandas library install. Please do this homework in Kaggle. Copy the main.py codes in Kaggle and upload the “students_scores.csv” to your Kaggle project.\n\nFind the average score for Math and English\nAdd new column in data frame “Total” which is total of “Math”\, “Science” and “English” score per student.\n\n\nKaggle computer vision individual project (due on Feb 4).\n\nChoose images data set. Examples: cars\, flowers\, shoes\nSimilar to Pet Breed or Single Digit precision\, create a computer vision model that can predict your image in Kaggle.\nDeploy your project to Streamlit.
URL:https://www.ayclogic.com/event/530-pm-ai-machine-learning-gamas-10/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250121T180000
DTEND;TZID=America/Los_Angeles:20250121T190000
DTSTAMP:20260514T102633
CREATED:20250122T032310Z
LAST-MODIFIED:20250122T032310Z
UID:27942-1737482400-1737486000@www.ayclogic.com
SUMMARY:6 PM – Python OOP – Darin
DESCRIPTION:What We Did Today:\n\nContinued learning object oriented programming with classes and objects conceptually and with code.\nReviewed the Dog class homework.\n\nHomework:\nCreate a new file called OOP_hw2.py and do the following: \n\nPage 162 – TRY IT YOURSELF\nPage 163 to Page 166 – copy code to Thonny and run it.\n\nSubmit into the google drive when you are done! \nNotes:\nEmail me at ddjapri@ayclogic.com if you have any questions!
URL:https://www.ayclogic.com/event/6-pm-python-oop-darin-17/
CATEGORIES:OOP Python,Python Class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250121T190000
DTEND;TZID=America/Los_Angeles:20250121T200000
DTSTAMP:20260514T102633
CREATED:20250122T034519Z
LAST-MODIFIED:20250122T040329Z
UID:27943-1737486000-1737489600@www.ayclogic.com
SUMMARY:7 PM – Python OOP – Darin
DESCRIPTION:What We Did Today:\n\nContinue the MonsterInheritance project\, implementing attacks against the monster and on the player\nImplemented object oriented design for method placement\n\nHomework:\nContinue in your Monster Inheritance project in main.py and monster.py\, and do the following: \n\n\nget input from the shell after printing the magic menu\ncheck the input with many if statements\, and just use ‘pass‘ in each if statement\nput this all into a new method by extracting\n\nexample print out: \nWhat do you want to do with the dragon\n1. Magic attack\n2. Sword attack – 10 to 20 damage\nEnter your selection: 1 \nWhat kind of magic attack you want to do:\n1. Fire magic – Max damage: 10\n2. Water magic – Max damage: 10\n3. Earth magic – Max damage: 15\n4. Wind magic – Max damage: 8\nEnter your selection: 2 \n\nNotes:\nYou can contact me at ddjapri@ayclogic if you have any questions!
URL:https://www.ayclogic.com/event/7-pm-python-oop-darin-18/
CATEGORIES:OOP Python,Python Class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250121T190000
DTEND;TZID=America/Los_Angeles:20250121T200000
DTSTAMP:20260514T102633
CREATED:20250122T040657Z
LAST-MODIFIED:20250122T040657Z
UID:27948-1737486000-1737489600@www.ayclogic.com
SUMMARY:7 PM - AI / Machine Learning - Gamas
DESCRIPTION:Today We Did\n\nWe finished Single Digit prediction project.\nWe started with Titanic Survivorship project.\n\nHomework\n\ntue-7-pm-pandas-hw. Homework needs to be completed using Pandas library. Research in the Internet how to use Python Pandas library.\n1. Find the average score for Math and English\n2. Add new column in data frame “Total” which is total of “Math”\, “Science” and “English” score per student.\nKaggle computer vision individual project (due on Feb 4).\n\nChoose images data set. Examples: cars\, flowers\, shoes\nSimilar to Pet Breed or Single Digit precision\, create a computer vision model that can predict your image in Kaggle.\nDeploy your project to Streamlit.
URL:https://www.ayclogic.com/event/7-pm-ai-machine-learning-gamas-8/
END:VEVENT
END:VCALENDAR