2019년 5월 13일
### 10th week: Objective-Oriented Programming - [PY4E OOP](https://www.py4e.com/lessons/Objects) - Objective-Oriented Programming Overview - [Lecture Video](https://www.youtube.com/watch?v=fi8TGRfDXU0&t=2s&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=49), [Lecture Material](https://doc.co/yXcRGm/EFk5T6) - Objects in Python - [Lecture Video](https://www.youtube.com/watch?v=cXNV45sx_iY&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=39), [Lecture Material](https://doc.co/U1782r/EFk5T6) - Lab: Note and Notebook - [Lecture Video](https://www.youtube.com/watch?v=8Q9N8E0RpDg&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=52), [Lecture Material](https://doc.co/woa22W/EFk5T6) - OOP characteristics - [Lecture Video](https://www.youtube.com/watch?v=s2NOU8vMMDU&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=53), [Lecture Material](https://doc.co/bFqNQT/EFk5T6) ### Lab #8 1) Descrition link - https://github.com/TEAMLAB-Lecture/python-mooc-english/tree/master/lab_assignment/lab_8 2) Due date - until May 31, 17:30 3) Submssion method - Gachon Autograder
2019년 5월 7일
### 9th Week: Pythonic Code - Pythonic Code Overview - [Lecture Video](https://www.youtube.com/watch?v=uIcxHkapM7c&index=34&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&t=4s) - Split & Join - [Lecture Video](https://www.youtube.com/watch?v=RnzoIgPmdng&index=35&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&t=14s) - Supplements: [Split and Join](https://www.youtube.com/watch?v=U2xhtrJx8aM) - List Comprehension - [Lecture Video](https://www.youtube.com/watch?v=AWAISEXNPPI&index=36&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&t=73s) - Supplements: [Real Python - List Comprehension](https://www.youtube.com/watch?v=1HlyKKiGg-4) - Enumerate & Zip - [Lecture Video](https://www.youtube.com/watch?v=xXaMXh1k5FY&index=37&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&t=610s) - Supplements: [Real Python - Enumberate](https://www.youtube.com/watch?v=bOGmYvtw-kk) - Supplements: [Real Python - Zip](https://www.youtube.com/watch?v=bMxEU0iG-KA) ### Lab #7 1) Descrition link - https://github.com/TEAMLAB-Lecture/python-mooc-english/tree/master/lab_assignment/lab_7 2) Due date - until May 17, 17:30 3) Submssion method - Gachon Autograder
2019년 4월 29일
2019년 1학기 Python MOOC 수강자들에게 알립니다. 9주차 강의를 수강한 후 아래 숙제를 제출기한에 맞춰 제출해주시기 바랍니다. #### Lab #8 1) 링크 - https://github.com/TeamLab/Gachon_CS50_Python_KMOOC/blob/master/lab_assignment/lab_8/READMD.md 2) 제출기한 - 5월 17일(금) 17시 30분까지 3) 제출방법 - Gachon Autograder를 사용하여 theTeamLab.io를 통해 제출
2019년 4월 22일
2019년 1학기 Python MOOC 수강자들에게 알립니다. 7주차 강의를 수강한 후 아래 숙제를 제출기한에 맞춰 제출해주시기 바랍니다. #### Lab #7 1) 링크 - https://github.com/TeamLab/Gachon_CS50_Python_KMOOC/blob/master/lab_assignment/lab_7/READMD.md 2) 참고영상 - https://www.youtube.com/watch?v=45CxKN0O6UI&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=46&t=1s 3) 제출기한 - 5월 10일(금) 17시 30분까지 4) 제출방법 - Gachon Autograder를 사용하여 theTeamLab.io를 통해 제출
2019년 4월 15일
This is the announcement for the lab assignments. ### 6th Week: String - [PY4E Functions](https://www.py4e.com/lessons/strings) - String - [Lecture Video](https://www.youtube.com/watch?v=6-VUeVlorWU&index=27&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz), [Lecture Material](https://doc.co/Y4h7dX/EFk5T6) - Lab: Yesterday Letter Counter - [Lecture Video](https://www.youtube.com/watch?v=t2ESp11CRmI&index=28&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz), [Lecture Material](https://doc.co/xtswPq/EFk5T6) - Code Assignment: - [Lecture Video](https://www.youtube.com/watch?v=GNb-zZY67EE&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=39), [Lecture Material](https://github.com/TEAMLAB-Lecture/python-mooc-english/tree/master/lab_assignment/lab_6) ### Lab #6 1) Descrition link - https://github.com/TEAMLAB-Lecture/python-mooc-english/tree/master/lab_assignment/lab_6 2) Videos(in Korean) - https://www.youtube.com/watch?v=GNb-zZY67EE&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=39 3) Due date - until May 2, 17:30 4) Submssion method - Gachon Autograder
2019년 4월 8일
2019년 1학기 Python MOOC 수강자들에게 알립니다. 6주차 강의를 수강한 후 아래 숙제를 제출기한에 맞춰 제출해주시기 바랍니다. #### Lab #4 1) 링크 - https://github.com/TeamLab/Gachon_CS50_Python_KMOOC/blob/master/lab_assignment/lab_6/READMD.md 2) 참고영상 - https://www.youtube.com/watch?v=GNb-zZY67EE&list=PLBHVuYlKEkUJvRVv9_je9j3BpHwGHSZHz&index=39 3) 제출기한 - 4월 19일(금) 17시 30분까지 4) 제출방법 - Gachon Autograder를 사용하여 theTeamLab.io를 통해 제출
2019년 4월 8일
[ML 4주차](https://github.com/TEAMLAB-Lecture/ml-101/tree/master/2019)의 Pandas 강의를 보시고 네 번째 숙제인 `Build Matrix` Lab을 수행하시기 바랍니다. - 숙제 설명: https://github.com/TEAMLAB-Lecture/ml-101/tree/master/2019/lab_asssigment/2_lab_build_matrix - 제출날짜: AI대학원(4월 27일 13:00), 학부데이터과학과정(4월 10일 12:00) ## 강의영상 ### Chapter 4 - Pandas Section #1 #### Lecture - Chapter Intro - [강의영상](https://www.youtube.com/watch?v=ktE6KFigdAk&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=25), [강의자료](https://1drv.ms/b/s!ApZ4mg7k2qYhgaQAO3rOwCot37nR8Q), [강의코드](https://github.com/TeamLab/machine_learning_from_scratch_with_python/tree/master/code/ch4), [코드다운로드](https://s3.ap-northeast-2.amazonaws.com/teamlab-gachon/mooc_pic/ml_ch4.zip) - Pandas overview - [강의영상](https://www.youtube.com/watch?v=hGS9FC9fRbI&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=26) - Series - [강의영상](https://www.youtube.com/watch?v=24Jzr2FlKe4&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=27) - DataFrame - [강의영상](https://www.youtube.com/watch?v=AWkrnuESiYE&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=28) - Selection & Drop - [강의영상](https://www.youtube.com/watch?v=uU6OHj2vKAE&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=29) - Dataframe operations - [강의영상](https://www.youtube.com/watch?v=cFHLylUi0DA&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=30) - lambda, map apply - [강의영상](https://www.youtube.com/watch?v=e6D6onOzJy0&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=31) - Pandas builit-in functions - [강의영상](https://www.youtube.com/watch?v=mARDtwaphfM&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=32) - Lab Assignment: Build a matrix - [PDF](https://s3.ap-northeast-2.amazonaws.com/teamlab-gachon/mooc_pic/build_matrix.pdf), [강의자료](https://github.com/TeamLab/machine_learning_from_scratch_with_python/tree/master/lab_asssigment/2_lab_build_matrix) ### Chapter 5 - Pandas Section #2 #### Lecture - Chapter Intro - [강의자료](https://1drv.ms/b/s!ApZ4mg7k2qYhgaQa8FVnGK2l1QaSJg), [강의코드](https://github.com/TeamLab/machine_learning_from_scratch_with_python/tree/master/code/ch5), [코드다운로드](https://s3.ap-northeast-2.amazonaws.com/teamlab-gachon/mooc_pic/ml_ch5.zip) - Groupby I - [강의영상](https://www.youtube.com/watch?v=jRJt6PG2iHM&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=33) - Groupby II - [강의영상](https://www.youtube.com/watch?v=VeZTpY4qFag&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=34) - Casestudy - [강의영상](https://www.youtube.com/watch?v=sMfckmJUBeg&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=35) - Pivot table & Crosstab - [강의영상](https://www.youtube.com/watch?v=8y_gOCJWYaY&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=36) - Merge & Concat - [강의영상](https://www.youtube.com/watch?v=bUjT1V67UhY&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=37) - Database connection & Persistance - [강의영상](https://www.youtube.com/watch?v=c6kVMrfYs-Y&list=PLBHVuYlKEkUKnfbWvRCrwSuSeYh_QUlRl&t=0s&index=38)
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