Patreon:
https://www.patreon.com/kfsoft第2版已發布，加入/重製了約 1 小時新內容，擴展了Column部分，涉及替換/更新資料：
https://www.youtube.com/watch?v=w76oa7YzvkYDoing data science with python:
1) Pandas basics: Series & DataFrame
2) Tips dataset, SQL equivalent pandas methods
Files:
https://github.com/learn10kYear/learn-pandas/tree/master/lab2Cheat sheet from pandas.pydata.org:
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf00:00 Introduction
00:34 PART1 - Pandas basics: Tubular data, Series & DataFrame
02:27 Install & import pandas
04:22 Series: 1d-list structure, with index
10:28 DataFrame: 2d-table structure, with index & columns
25:17 DataFrame - column: dot notation, fancy index, filter() by columns
30:33 DataFrame - column: new column, mean(), medium(), max(), idxmax(), update values, str functions
38:09 DataFrame - column: map() to update column data
41:31 DataFrame - column: drop() to a column
45:22 DataFrame - row: slice, filter() by rows
49:57 DataFrame - row: indexer - loc (label), iloc (position)
50:54 DataFrame - row: loc (label) indexer - df.loc[row, col]
57:15 DataFrame - row: iloc (position) indexer - df.iloc[row, col]
01:01:33 DataFrame - row: use boolean mask to retrieve records
01:05:10 DataFrame - row: query() to retrieve records
01:09:48 DataFrame - row: missing values handling
01:12:34 DataFrame - row: groupby() and agg()
01:15:27 DataFrame - row: groupby multiple columns VS pivot_table()
01:20:07 DataFrame - row: sort_values(), by multiple columns with different directions
01:22:24 PART 2 - Tips dataset: use pandas on a dataset
01:24:00 Tips Dataset: import packages & read tips dataset
01:28:58 SQL equivalent - SELECT: fancy index, filter(), loc, iloc
01:32:29 SQL equivalent - SELECT: with new column
01:33:37 SQL equivalent - WHERE: boolean mask, query()
01:35:17 SQL equivalent - WHERE multiple conditions: and, or
01:38:14 SQL equivalent - NULL handling: isnull(), isna(), notna()
01:39:26 SQL equivalent - GROUPBY: single field groupby, and apply agg functions
01:43:16 SQL equivalent - GROUPBY: multiple field groupby
01:44:23 SQL equivalent - JOIN: inner (intersection) / outer (union) - on='column', how='inner/outer'
01:47:33 SQL equivalent - JOIN: left (keep LHS) / right (keep RHS) - on='column', how='left/right'
01:49:08 SQL equivalent - UNION: pd.concat([ds1, ds2]).drop_doplicates()
01:50:21 SQL equivalent - UPDATE: df.loc, map()
01:53:07 SQL equivalent - DELETE: boolean mask method
01:56:05 Save DataFrame to a file
01:57:28 Plot graph - df.plot()
01:58:00 Summary & conclusion
Python入門：第1課 - PyCharm + Data Types
https://youtu.be/s9toTBXQSPEPython入門：第2課 - Python containers (1): List, Tuple
https://youtu.be/7hm0zHgEGZ4Python入門：第3課 - Python containers (2): Dictionary & Set
https://youtu.be/7Jvfd6qFLzUPython入門：第4課 - If-Else, Looping, Try-except
https://youtu.be/sXdh5L5rcX0Python入門：第5課 - Function + File
https://youtu.be/rk8kU3no5NoPython入門：第6課 - Class and Object
https://youtu.be/HPb0Lg3FQfMPython入門：第7課 - URL, JSON, Sqlite
https://youtu.be/93lOZTxJtrsPython入門：第8課 - 用Flask進行Web開發
https://youtu.be/Z4CR3rwVkGcPython入門：第9課 - Flask + DB ORM
https://youtu.be/ZQoBdEH1zowPython入門：第10課 - Flask補充1
https://youtu.be/AC23QWvFNWIPython入門：第11課 - Flask補充2
https://youtu.be/-PkZ8sGhm-UPython入門：Apache 安裝Flask app - mod_wsgi
https://youtu.be/E6dqWawzc14Python入門：第12課 - GUI (Tkinter) + PyInstaller 打包EXE
https://youtu.be/_-LKQvmG8Uc1Python入門：第13課 - More loops - Iterable Vs Iterator
https://youtu.be/xKPK6CRnBT4Python入門：第14課 - More loops - Generator
https://youtu.be/sl3seUetRkAPython初級：第15課 - Web Scraping 靜態網頁抓取
https://youtu.be/_LRfuctPLdsPython初級：第16課 - Web Scraping 動態網頁抓取
https://youtu.be/lXwgSweHf5QPython初級：第17課 - Pygame貪食蛇遊戲
https://youtu.be/kaDEcF5LTWUPython初級：openpyxl - 讀寫 MS Excel 文件
https://youtu.be/tjcJV2fur5gPython初級：python-docx - 讀寫 MS Word 文件
https://youtu.be/PEKWb5R3sSUPython入門 - 數據科學 - Jupyter Lab & Notebook 安裝+入門教程
https://youtu.be/niWD8kxgpH0Python入門 - 數據科學 - Anaconda + PyCharm 安裝
https://youtu.be/H4ihRvtdY7MPython初級 - 數據科學 - Numpy入門
https://youtu.be/t7ygnafk760Python初級 - 數據科學 - Pandas入門
https://youtu.be/ZYjhM7J9eFQPython初級 - 數據科學 - Pandas入門 (第二版 更新column部分)
https://youtu.be/w76oa7YzvkYPython初級 - 數據科學 - Pandas時間 + 圖表
https://youtu.be/jrd8shHEVFQPython初級 - 數據科學 - Pandas類別 + 樣式
https://youtu.be/4ntwbAWnKbgDatabase初級：SQL入門
https://youtu.be/OtM74u3Fbw0Database初級：JOIN連接
https://youtu.be/tpDvgr7qHswDatabase初級：MongoDB入門
https://youtu.be/XTqW3oOt3PsPython初級 - 機器學習 - Scikit-learn 入門
https://youtu.be/3m8Bb01uNNEPython初級 - 機器學習 - Scikit-learn - Regression 回歸
https://youtu.be/QyYZT8o-f3UPython初級 - 機器學習 - Scikit-learn - Classification 分類
https://youtu.be/JKn0OoHSoRoPython初級 - 機器學習 - Scikit-learn - Clustering 聚類+降維
https://youtu.be/UgXyK-k-CgMPython初級 - 識別篇 - 光學文字辨識OCR + Google翻譯
https://youtu.be/UT7A-Y_FXlgPython初級 - 識別篇 - TTS + 語音辨識
https://youtu.be/dGY9en_z5bQhttps://kfsoft.infoAbout the Site 🌐
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YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
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