🪴LYC

    • Finance | Business | Investment
      • Foundations of Finance - Aswath Damodaran
        • 1 First Steps in Finance
        • 2 The Structure of a Business
        • 3 Cash Flows
        • 4 What is risk?
        • 5 Measuring Risk
        • 6 The Time Value of Money
        • 7 Valuing Bonds
        • 8 Introduction to Equity Valuation
      • Mental Models - Charlie Munger
        • Economics
          • Marginal Utility
          • Opportunity Cost
        • Charlie Munger 2023 Daily Journal Annual Meeting (Full Transcript)
        • Confirmation Bias
        • Feedback Loops
        • Incentive Superpower
        • Marginal Utility
        • Mean Reversion
        • Opportunity Cost
        • Second-Order Thinking
        • Sunk Cost Fallacy
      • 1 First Steps in Finance
      • 2 The Structure of a Business
      • 3 Cash Flows
      • 4 What is risk?
      • 5 Measuring Risk
      • 6 The Time Value of Money
      • Best memos from Oaktree
      • Main
        • biostatics 01
        • biostatistics 02
        • Blockchain bridges
        • Catherine the Great
        • civilization(文明)和 democracy(民主)GPT与deepseek对比讨论
        • Consumerism
        • Crash Course - EU 11
        • Crash Course EU 12
        • Deism
        • Encyclopédie
        • ETH
        • Every level of wealth in 13 mins
        • France Long-Stay Student Visa Application Guide| 法国学签申请指南
        • Gas fees
        • Getting rich is a game - Ali
        • idea
        • Introduction to smart contracts
        • Micaela Bastidas
        • Monish Pabrai
        • Mrbeast production
        • NG建议
        • Otto von Bismarck
        • Parlements
        • pop mart
        • Prussia
        • Run a node
        • Seized Silesia
        • The Great Online Game
        • the Revolutions of 1848
        • Tim 创业故事 2021 2023
        • Tsar Redeemer
        • What are zero-knowledge proofs?
        • What is ether (ETH)?
        • What is Ethereum?
        • 为什么“热门方向”不等于“好方向”?如何选择好的技术方向
        • 京东
        • 从第三世界到第一世界,华人小国的崛起之路,新加坡与李光耀(上)【历史调研室46】
        • 代码与工程之外 从CRUD到商业杠杆:重新理解程序员的核心价值
        • 你要努力成为你自己
        • 写的很好的一篇关于人生意义的文章
        • 创作者伤疤
        • 到底什么时候是跑路的时机?
        • 反脆弱
        • 商业的本质
        • 坚持了15年每天跑3~5公里: 这项孤独的习惯,让我炼成了 “做成任何事” 的底气
        • 如何打破稀缺的恶性循环?【复利系列】
        • 如何积累第一桶金?
        • 对中国女权的回顾与反思(上)
        • 我在B站的十年:不签MCN、零成本创作,如何从0增长到46万粉丝?|慢即是快的创作哲学
        • 教育的表与里
        • 日记 - melody
        • 李光耀
        • 概率的本质是什么?频率派 vs 贝叶斯派视角
        • 美联储
        • 财富运行逻辑 - 歌白
        • 贫困陷阱
        • 金三顺影评
        • 金钱知识 - 歌白
        • 钱是什么 - 歌白
        • 销售冠都有的背景4个表现
      • Portfolio
        • Fandango Movie Rating Bias Analysis
        • MPG Project
      • python for data science
        • Fandango Movie Rating Bias Analysis Project Questions
        • Git and Github(only the basics)
        • Great Resources
        • Lambda
        • Linear Regression - Cost Function
        • Linear Regression - Feature Scaling
        • Linear Regression - Gradient Descent
        • Linear Regression - OLS
        • Linear Regression - Polynomial Regression
        • Linear Regression - Scikit-Learn
        • Linear Regression - Simple Linear Regression
        • Matplotlib - Basics
        • Matplotlib - Figure Object
        • Matplotlib - Styling
        • Matplotlib - Subplots Notes
        • Matplotlib Exercises
        • Numpy
        • Pandas
        • Pandas - Combining Data Frame
        • Pandas - Conditional Filtering
        • Pandas - Data Frame
        • Pandas - Data Input and Output
        • Pandas - Groupby Operations and MultiIndex
        • Pandas - Missing data
        • Pandas - Pivot Tables
        • Pandas - Text Methods for String Data
        • Pandas - Time Methods for Date and Time Data
        • Pandas - Useful Methods
        • Pandas Hotel Bookings Project - Summary Notes
        • Pandas-Series
        • Python Basics
        • Resampling Time-Series Data
        • Seaborn - Categorical Plots
        • Seaborn - Categorical Plots Distribution within Categories
        • Seaborn - Comparison Plots
        • Seaborn - Distribution Plot
        • Seaborn - Exercise
        • Seaborn - grid plots
        • Seaborn - Matrix Plots
        • Seaborn - Scatter Plots
        • VS code setup for python ds and ml
        • Why learn programming
      • R for data science
        • 1 Data Visualization
        • 3 Data transformation
        • 4 Workflow – Code Style
        • 5 Data tidying
        • 6 Workflow - scripts and projects
        • 7 Data import
        • 8 Workflow - getting help
        • MPG Project
        • R shortcut
        • Supermarket Sales Project
        • Transform 12 Logical vectors
        • Transform 13 Numbers
        • Visualize 9 Layers
        • Visualize 10 Exploratory data analysis
        • Visualize 11 Communication
      • Tags
        • Feminism
        • Mentol Models
        • Money
        • Singapore
        • Web3
        • Work
        • 创作
        • 生活思考
      • Template
        • Full Note
      • Finance | Business | Investment
        • Foundations of Finance - Aswath Damodaran
          • 1 First Steps in Finance
          • 2 The Structure of a Business
          • 3 Cash Flows
          • 4 What is risk?
          • 5 Measuring Risk
          • 6 The Time Value of Money
          • 7 Valuing Bonds
          • 8 Introduction to Equity Valuation
        • Mental Models - Charlie Munger
          • Economics
            • Marginal Utility
            • Opportunity Cost
          • Charlie Munger 2023 Daily Journal Annual Meeting (Full Transcript)
          • Confirmation Bias
          • Feedback Loops
          • Incentive Superpower
          • Marginal Utility
          • Mean Reversion
          • Opportunity Cost
          • Second-Order Thinking
          • Sunk Cost Fallacy
        • 1 First Steps in Finance
        • 2 The Structure of a Business
        • 3 Cash Flows
        • 4 What is risk?
        • 5 Measuring Risk
        • 6 The Time Value of Money
        • Best memos from Oaktree
        • Main
          • biostatics 01
          • biostatistics 02
          • Blockchain bridges
          • Catherine the Great
          • civilization(文明)和 democracy(民主)GPT与deepseek对比讨论
          • Consumerism
          • Crash Course - EU 11
          • Crash Course EU 12
          • Deism
          • Encyclopédie
          • ETH
          • Every level of wealth in 13 mins
          • France Long-Stay Student Visa Application Guide| 法国学签申请指南
          • Gas fees
          • Getting rich is a game - Ali
          • idea
          • Introduction to smart contracts
          • Micaela Bastidas
          • Monish Pabrai
          • Mrbeast production
          • NG建议
          • Otto von Bismarck
          • Parlements
          • pop mart
          • Prussia
          • Run a node
          • Seized Silesia
          • The Great Online Game
          • the Revolutions of 1848
          • Tim 创业故事 2021 2023
          • Tsar Redeemer
          • What are zero-knowledge proofs?
          • What is ether (ETH)?
          • What is Ethereum?
          • 为什么“热门方向”不等于“好方向”?如何选择好的技术方向
          • 京东
          • 从第三世界到第一世界,华人小国的崛起之路,新加坡与李光耀(上)【历史调研室46】
          • 代码与工程之外 从CRUD到商业杠杆:重新理解程序员的核心价值
          • 你要努力成为你自己
          • 写的很好的一篇关于人生意义的文章
          • 创作者伤疤
          • 到底什么时候是跑路的时机?
          • 反脆弱
          • 商业的本质
          • 坚持了15年每天跑3~5公里: 这项孤独的习惯,让我炼成了 “做成任何事” 的底气
          • 如何打破稀缺的恶性循环?【复利系列】
          • 如何积累第一桶金?
          • 对中国女权的回顾与反思(上)
          • 我在B站的十年:不签MCN、零成本创作,如何从0增长到46万粉丝?|慢即是快的创作哲学
          • 教育的表与里
          • 日记 - melody
          • 李光耀
          • 概率的本质是什么?频率派 vs 贝叶斯派视角
          • 美联储
          • 财富运行逻辑 - 歌白
          • 贫困陷阱
          • 金三顺影评
          • 金钱知识 - 歌白
          • 钱是什么 - 歌白
          • 销售冠都有的背景4个表现
        • Portfolio
          • Fandango Movie Rating Bias Analysis
          • MPG Project
        • python for data science
          • Fandango Movie Rating Bias Analysis Project Questions
          • Git and Github(only the basics)
          • Great Resources
          • Lambda
          • Linear Regression - Cost Function
          • Linear Regression - Feature Scaling
          • Linear Regression - Gradient Descent
          • Linear Regression - OLS
          • Linear Regression - Polynomial Regression
          • Linear Regression - Scikit-Learn
          • Linear Regression - Simple Linear Regression
          • Matplotlib - Basics
          • Matplotlib - Figure Object
          • Matplotlib - Styling
          • Matplotlib - Subplots Notes
          • Matplotlib Exercises
          • Numpy
          • Pandas
          • Pandas - Combining Data Frame
          • Pandas - Conditional Filtering
          • Pandas - Data Frame
          • Pandas - Data Input and Output
          • Pandas - Groupby Operations and MultiIndex
          • Pandas - Missing data
          • Pandas - Pivot Tables
          • Pandas - Text Methods for String Data
          • Pandas - Time Methods for Date and Time Data
          • Pandas - Useful Methods
          • Pandas Hotel Bookings Project - Summary Notes
          • Pandas-Series
          • Python Basics
          • Resampling Time-Series Data
          • Seaborn - Categorical Plots
          • Seaborn - Categorical Plots Distribution within Categories
          • Seaborn - Comparison Plots
          • Seaborn - Distribution Plot
          • Seaborn - Exercise
          • Seaborn - grid plots
          • Seaborn - Matrix Plots
          • Seaborn - Scatter Plots
          • VS code setup for python ds and ml
          • Why learn programming
        • R for data science
          • 1 Data Visualization
          • 3 Data transformation
          • 4 Workflow – Code Style
          • 5 Data tidying
          • 6 Workflow - scripts and projects
          • 7 Data import
          • 8 Workflow - getting help
          • MPG Project
          • R shortcut
          • Supermarket Sales Project
          • Transform 12 Logical vectors
          • Transform 13 Numbers
          • Visualize 9 Layers
          • Visualize 10 Exploratory data analysis
          • Visualize 11 Communication
        • Tags
          • Feminism
          • Mentol Models
          • Money
          • Singapore
          • Web3
          • Work
          • 创作
          • 生活思考
        • Template
          • Full Note

      🪴LYC

      Home

      ❯

      python for data science

      ❯

      Great Resources

      Great Resources

      Dec 03, 2025

      The website:

      https://roadmap.sh/ai-data-scientist/projects

      https://www.data-to-viz.com/

      https://mine-cetinkaya-rundel.github.io/r4ds-solutions/

      https://r4ds.hadley.nz/

      https://x.com/cognition_labs/status/1915816544480989288?t=U_yvDnmymA_R1iik8HX_1g&s=19

      Deep Research for GitHub 相当于这个项目的接入了AI 直接在里面问问题 适合GitHub做项目?


      Graph View

      Backlinks

      • No backlinks found

      Created with Quartz v4.3.1 © 2025

      • GitHub
      • Email