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Python for Finance Financial Analysis for Investing
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[TutsNode.com] - Python for Finance Financial Analysis for Investing
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11. Time Series Data
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7. Case Study DOW Theory.mp4 - 323.59 MB
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7. Case Study DOW Theory.srt - 24.86 KB
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8. Jupyter Notebook Case Study DOW Theory.srt - 21.95 KB
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3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt - 14.73 KB
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5. Jupyter Notebook CAGR.srt - 11.89 KB
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6. Jupyter Notebook Multiple Time Frames.srt - 11.3 KB
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2. Rate of Return, Percentage Change, and Normalization.srt - 8.32 KB
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1. Introduction.srt - 5.33 KB
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4. CAGR.srt - 2.82 KB
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9. What did we learn.srt - 2.2 KB
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8. Jupyter Notebook Case Study DOW Theory.mp4 - 193.73 MB
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3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.mp4 - 136.02 MB
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2. Rate of Return, Percentage Change, and Normalization.mp4 - 121.94 MB
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6. Jupyter Notebook Multiple Time Frames.mp4 - 105.12 MB
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5. Jupyter Notebook CAGR.mp4 - 103.38 MB
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1. Introduction.mp4 - 71.07 MB
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4. CAGR.mp4 - 41.45 MB
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9. What did we learn.mp4 - 29.3 MB
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7. Intrinsic Value
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9. Jupyter Notebook Debt-to-Equity ratio.srt - 28.31 KB
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16. Jupyter Notebook Revenue.srt - 24.15 KB
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9. Jupyter Notebook Debt-to-Equity ratio.mp4 - 278.32 MB
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20. Jupyter Notebook Book Value.srt - 17.55 KB
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24. Jupyter Notebook Combine All Data.srt - 15.7 KB
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14. Jupyter Notebook Return of Investment.srt - 15.1 KB
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11. Jupyter Notebook - Current ratio.srt - 14.89 KB
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18. Jupyter Notebook Earnings Per Share (EPS).srt - 13.99 KB
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7. Evaluate Leadership.srt - 13.26 KB
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29. Compare it with Current Price.srt - 13.22 KB
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28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).srt - 12.89 KB
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12. Stable and predictable.srt - 11.83 KB
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25. Calculate a Fair Price (Intrinsic Value).srt - 9.81 KB
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2. Outcome of section.srt - 9.42 KB
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13. Return of Investment (ROI) - Evaluation.srt - 7.9 KB
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27. Jupyter Notebook Price-to-Earnings (PE) ratio.srt - 7.24 KB
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15. Revenue - Evaluation.srt - 7.09 KB
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30. What did we learn.srt - 6.81 KB
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22. Jupyter Notebook Free Cash Flow (FCF).srt - 6.8 KB
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1. Introduction.srt - 1.42 KB
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3. Understand Risk - Part I.srt - 5.98 KB
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8. Debt-to-Equity ration - Evaluation.srt - 5.76 KB
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19. Book Value - Evaluation.srt - 5.38 KB
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8.1 Investopedia - Debt-to-equity ratio.html - 117 B
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10.1 Investopedia - Current Ratio.html - 114 B
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23. Combine All Data.srt - 4.85 KB
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13.1 Investopedia - Return of Investment (ROI).html - 120 B
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10. Current ratio - Evaluation.srt - 4.38 KB
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15.1 Investopedia - Revenue.html - 109 B
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5. Understand Rik - Part III.srt - 4.18 KB
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4. Understand Risk - Part II.srt - 3.98 KB
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16.1 Investopedia - AAGR.html - 106 B
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16.2 Investopedia - CAGR.html - 106 B
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17.1 Investopedia - Earnings Per Share (EPS).html - 105 B
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6. Understand Risk - All put together.srt - 3.78 KB
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19.1 Investopedia - Book Value.html - 111 B
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26. Price-to-Earnings (PE) ratio.srt - 3.31 KB
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21. Free Cash Flow (FCF) - Evaluation.srt - 2.49 KB
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21.1 Investopeida - Free Cash Flow (FCF).html - 114 B
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17. Earnings Per Share (EPS) - Evaluation.srt - 3.06 KB
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26.1 Investopedia - Price-to-Earnings (PE) ratio.html - 121 B
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16. Jupyter Notebook Revenue.mp4 - 230.69 MB
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7. Evaluate Leadership.mp4 - 205.56 MB
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12. Stable and predictable.mp4 - 160.68 MB
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20. Jupyter Notebook Book Value.mp4 - 160.54 MB
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11. Jupyter Notebook - Current ratio.mp4 - 148.28 MB
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24. Jupyter Notebook Combine All Data.mp4 - 141.16 MB
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2. Outcome of section.mp4 - 141.02 MB
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25. Calculate a Fair Price (Intrinsic Value).mp4 - 139.51 MB
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14. Jupyter Notebook Return of Investment.mp4 - 135.96 MB
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28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).mp4 - 129.82 MB
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29. Compare it with Current Price.mp4 - 127.88 MB
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18. Jupyter Notebook Earnings Per Share (EPS).mp4 - 120.1 MB
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13. Return of Investment (ROI) - Evaluation.mp4 - 105.9 MB
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30. What did we learn.mp4 - 99.88 MB
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15. Revenue - Evaluation.mp4 - 94.67 MB
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8. Debt-to-Equity ration - Evaluation.mp4 - 93.65 MB
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3. Understand Risk - Part I.mp4 - 93.63 MB
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19. Book Value - Evaluation.mp4 - 84.21 MB
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10. Current ratio - Evaluation.mp4 - 74.6 MB
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27. Jupyter Notebook Price-to-Earnings (PE) ratio.mp4 - 73.37 MB
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23. Combine All Data.mp4 - 69.22 MB
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22. Jupyter Notebook Free Cash Flow (FCF).mp4 - 66.15 MB
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4. Understand Risk - Part II.mp4 - 64.17 MB
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5. Understand Rik - Part III.mp4 - 61.79 MB
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6. Understand Risk - All put together.mp4 - 57.05 MB
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26. Price-to-Earnings (PE) ratio.mp4 - 55.15 MB
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17. Earnings Per Share (EPS) - Evaluation.mp4 - 43.19 MB
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21. Free Cash Flow (FCF) - Evaluation.mp4 - 38.95 MB
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1. Introduction.mp4 - 26.72 MB
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14. Correlation and Linear Regression
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4. Jupyter Notebook Volatility Calculations.srt - 27.73 KB
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8. Jupyter Notebook Linear Regression.srt - 19.73 KB
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10. Jupyter Notebook Beta Calculations.srt - 13.59 KB
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12. Jupyter Notebook CAPM Calculations.srt - 12.35 KB
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6. Jupyter Notebook Correlation Calculations.srt - 11.58 KB
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14. Solutions.srt - 10.92 KB
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3. Volatility of a Stock.srt - 7.28 KB
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13. Exercises.srt - 6.12 KB
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11. CAPM.srt - 6.04 KB
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7. Linear Regression.srt - 4.81 KB
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2. Adjusted Close.srt - 3.54 KB
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9. Beta.srt - 2.87 KB
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5. Correlation Between Securities.srt - 2.8 KB
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15. What did we learn.srt - 2.49 KB
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1. Introduction.srt - 2.39 KB
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4. Jupyter Notebook Volatility Calculations.mp4 - 213.26 MB
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8. Jupyter Notebook Linear Regression.mp4 - 169.36 MB
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10. Jupyter Notebook Beta Calculations.mp4 - 109.41 MB
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14. Solutions.mp4 - 107.07 MB
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3. Volatility of a Stock.mp4 - 106.65 MB
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12. Jupyter Notebook CAPM Calculations.mp4 - 105.23 MB
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6. Jupyter Notebook Correlation Calculations.mp4 - 93.97 MB
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11. CAPM.mp4 - 88.02 MB
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7. Linear Regression.mp4 - 72.35 MB
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13. Exercises.mp4 - 55.36 MB
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2. Adjusted Close.mp4 - 47.95 MB
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5. Correlation Between Securities.mp4 - 45.22 MB
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9. Beta.mp4 - 42.6 MB
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15. What did we learn.mp4 - 39.55 MB
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1. Introduction.mp4 - 30.76 MB
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12. Technical Indicators
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10. Jupyter Notebook Exporting to Excel.srt - 27.34 KB
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4. Jupyter Notebook Simple Moving Average (MA).srt - 20.32 KB
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9. Jupyter Notebook Stochastic Oscillator.srt - 18.19 KB
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7. Jupyter Notebook MACD.srt - 17.52 KB
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11. Jupyter Notebook Using our Excel Sheet.srt - 15.43 KB
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13. Solutions.srt - 13.11 KB
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5. Jupyter Notebook Exponential Moving Average (EMA).srt - 10.26 KB
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2. What is a Technical Indicator and Types of Indicators.srt - 9.68 KB
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12. Exercises.srt - 9.01 KB
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3. Indicator Moving Average.srt - 7.02 KB
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6. Indicator MACD.srt - 5.99 KB
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8. Indicator Stochastic Oscillator.srt - 5.38 KB
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1. Introduction.srt - 3.56 KB
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14. What did we learn.srt - 1.13 KB
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10. Jupyter Notebook Exporting to Excel.mp4 - 245.65 MB
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4. Jupyter Notebook Simple Moving Average (MA).mp4 - 184.47 MB
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9. Jupyter Notebook Stochastic Oscillator.mp4 - 170.34 MB
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7. Jupyter Notebook MACD.mp4 - 155.76 MB
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2. What is a Technical Indicator and Types of Indicators.mp4 - 147.52 MB
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11. Jupyter Notebook Using our Excel Sheet.mp4 - 143.37 MB
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13. Solutions.mp4 - 138.49 MB
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3. Indicator Moving Average.mp4 - 103.25 MB
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5. Jupyter Notebook Exponential Moving Average (EMA).mp4 - 92.9 MB
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6. Indicator MACD.mp4 - 89.8 MB
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12. Exercises.mp4 - 79.66 MB
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8. Indicator Stochastic Oscillator.mp4 - 78.8 MB
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1. Introduction.mp4 - 53.82 MB
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14. What did we learn.mp4 - 18.25 MB
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10. Data Sources
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4. Jupyter Notebook Pandas Datareader - Part I.srt - 26.49 KB
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9. Jupyter Notebook Web Scraping.srt - 23.32 KB
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7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt - 18.92 KB
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11. Solutions.srt - 16.68 KB
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5. Jupyter Notebook Pandas Datareader - Part II.srt - 14.99 KB
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10. Exercises.srt - 5.41 KB
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2. What will we learn.srt - 4.19 KB
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8. Web Scraping.srt - 3.95 KB
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6. The Yahoo! Finance API - read Financial Statements.srt - 3.87 KB
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3. Pandas Datareader - Remote Data Access for Pandas.srt - 2.2 KB
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12. What did we learn.srt - 1.7 KB
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1. Introduction.srt - 1.23 KB
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4. Jupyter Notebook Pandas Datareader - Part I.mp4 - 249.44 MB
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9. Jupyter Notebook Web Scraping.mp4 - 211.58 MB
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11. Solutions.mp4 - 166.28 MB
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7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4 - 164.91 MB
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5. Jupyter Notebook Pandas Datareader - Part II.mp4 - 121.68 MB
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2. What will we learn.mp4 - 65.9 MB
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8. Web Scraping.mp4 - 58.62 MB
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10. Exercises.mp4 - 57.07 MB
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6. The Yahoo! Finance API - read Financial Statements.mp4 - 53.57 MB
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3. Pandas Datareader - Remote Data Access for Pandas.mp4 - 32.91 MB
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12. What did we learn.mp4 - 25.04 MB
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1. Introduction.mp4 - 20.17 MB
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9. Visualization and Excel Export of Financial Data
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5. Export to Excel - Part II.srt - 26.37 KB
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2. Matplotlib - Part I.srt - 21.46 KB
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3. Matplotlib - Part II.srt - 21.3 KB
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6. Export to Excel - Part III.srt - 13.61 KB
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4. Export to Excel - Part I.srt - 17.01 KB
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7. What did we learn.srt - 3 KB
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1. Introduction.srt - 2.03 KB
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4.1 XLSX Writer - Format.html - 106 B
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5. Export to Excel - Part II.mp4 - 249.24 MB
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2. Matplotlib - Part I.mp4 - 200.64 MB
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3. Matplotlib - Part II.mp4 - 179.82 MB
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4. Export to Excel - Part I.mp4 - 156.78 MB
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6. Export to Excel - Part III.mp4 - 126.31 MB
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7. What did we learn.mp4 - 44.05 MB
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1. Introduction.mp4 - 33.21 MB
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2. Setup
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1. Introduction.srt - 594 B
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2. Download Anaconda (includes Python and Jupyter notebook).srt - 2.09 KB
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2.1 Download link to Anaconda.html - 105 B
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2.2 Installation guides.html - 104 B
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3. Resources and setup environment in Jupyter notebook.srt - 5.75 KB
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3. Resources and setup environment in Jupyter notebook.mp4 - 74.25 MB
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2. Download Anaconda (includes Python and Jupyter notebook).mp4 - 23.64 MB
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3.1 PyFinance.zip - 19 MB
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1. Introduction.mp4 - 10.87 MB
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5. Lemonade Stand
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5. Jupyter Notebook The Lemonade Stand.srt - 23.31 KB
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11. Jupyter Notebook Dividend.srt - 18.96 KB
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8. Jupyter Notebook Shares.srt - 18.89 KB
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1. Introduction.srt - 1.57 KB
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12. What did we learn.srt - 2.98 KB
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7. Shares a story - Understand what they really are.srt - 9.55 KB
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10. Dividend a story - an easy way to understand them.srt - 8.44 KB
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3. Introduction to the Lemonade Stand.srt - 8.18 KB
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4. The Lemonade Stand - the easy to understand example.srt - 7.92 KB
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6. Shares.srt - 6.5 KB
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9. Dividend.srt - 5.12 KB
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2. Intrinsic Value.srt - 5.04 KB
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5. Jupyter Notebook The Lemonade Stand.mp4 - 193.4 MB
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11. Jupyter Notebook Dividend.mp4 - 180.79 MB
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8. Jupyter Notebook Shares.mp4 - 158.17 MB
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7. Shares a story - Understand what they really are.mp4 - 121.18 MB
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3. Introduction to the Lemonade Stand.mp4 - 117.85 MB
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6. Shares.mp4 - 101.17 MB
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4. The Lemonade Stand - the easy to understand example.mp4 - 99.68 MB
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9. Dividend.mp4 - 89.42 MB
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2. Intrinsic Value.mp4 - 77.57 MB
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10. Dividend a story - an easy way to understand them.mp4 - 76.93 MB
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12. What did we learn.mp4 - 55.7 MB
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1. Introduction.mp4 - 28.95 MB
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3. Jupyter Notebook guide
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1. Introduction.srt - 1.24 KB
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1.1 Jupyter Notebook Cheat Sheet.html - 155 B
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4. Jupyter Notebook Copy and reorganize code.srt - 2.82 KB
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6. Jupyter Notebook Tab + Tab + Shift & Tab.srt - 9.4 KB
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7. What did we learn.srt - 1.17 KB
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2. Jupyter Notebook The Dashboard.srt - 4.75 KB
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3. Jupyter Notebook Run and restart a Notebook.srt - 4.57 KB
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5. Jupyter Notebook Comment and markdown.srt - 3.27 KB
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6. Jupyter Notebook Tab + Tab + Shift & Tab.mp4 - 82.17 MB
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2. Jupyter Notebook The Dashboard.mp4 - 56.09 MB
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3. Jupyter Notebook Run and restart a Notebook.mp4 - 53.53 MB
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5. Jupyter Notebook Comment and markdown.mp4 - 33.09 MB
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4. Jupyter Notebook Copy and reorganize code.mp4 - 27.42 MB
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1. Introduction.mp4 - 20.1 MB
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7. What did we learn.mp4 - 19.78 MB
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15. Working with Portfolios and Monte Carlo Simulations
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7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt - 21.23 KB
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8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt - 19.37 KB
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11. Solutions.srt - 18.66 KB
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5. Jupyter Notebook Sharpe Ratio Calculations.srt - 15.82 KB
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3. Jupyter Notebook Portfolio.srt - 15.44 KB
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10. Exercises.srt - 7.09 KB
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9. Jupyter Notebook The Efficient Frontier.srt - 6.87 KB
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6. Monte Carlo Simulations.srt - 5.05 KB
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4. Sharpe Ratio.srt - 3.66 KB
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12. What did we learn.srt - 2.21 KB
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2. Portfolios.srt - 2.01 KB
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1. Introduction.srt - 1.91 KB
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8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4 - 157.84 MB
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11. Solutions.mp4 - 155.05 MB
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7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4 - 154.87 MB
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3. Jupyter Notebook Portfolio.mp4 - 135.94 MB
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5. Jupyter Notebook Sharpe Ratio Calculations.mp4 - 126.59 MB
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6. Monte Carlo Simulations.mp4 - 78.09 MB
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9. Jupyter Notebook The Efficient Frontier.mp4 - 63.98 MB
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10. Exercises.mp4 - 58.58 MB
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4. Sharpe Ratio.mp4 - 54.2 MB
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12. What did we learn.mp4 - 32.42 MB
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1. Introduction.mp4 - 30.75 MB
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2. Portfolios.mp4 - 28.6 MB
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13. NumPy
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2. Jupyter Notebook Introduction to NumPy.srt - 21.11 KB
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4. Jupyter Notebook DataFrames and Series with NumPy.srt - 20.23 KB
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7. Jupyter Notebook Dot product and Transpose.srt - 15.71 KB
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3. Jupyter Notebook Index, Slicing, and Views.srt - 15.03 KB
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9. Solutions.srt - 14.65 KB
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5. Jupyter Notebook Vectorization with NumPy.srt - 14.59 KB
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6. Jupyter Notebook Matplotlib and NumPy.srt - 13.54 KB
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8. Exercises.srt - 9.53 KB
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1. Introduction.srt - 7.94 KB
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10. What did we learn.srt - 3.08 KB
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4. Jupyter Notebook DataFrames and Series with NumPy.mp4 - 172.52 MB
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7. Jupyter Notebook Dot product and Transpose.mp4 - 156.52 MB
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2. Jupyter Notebook Introduction to NumPy.mp4 - 154.97 MB
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9. Solutions.mp4 - 144.54 MB
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5. Jupyter Notebook Vectorization with NumPy.mp4 - 139.81 MB
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6. Jupyter Notebook Matplotlib and NumPy.mp4 - 126.76 MB
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3. Jupyter Notebook Index, Slicing, and Views.mp4 - 124.45 MB
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1. Introduction.mp4 - 121.09 MB
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8. Exercises.mp4 - 85.88 MB
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10. What did we learn.mp4 - 49.16 MB
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8. Matplotlib
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10. Solutions.srt - 19.92 KB
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5.1 Matplotlib Overview.html - 129 B
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8. Jupyter Notebook Bar plots.srt - 13.57 KB
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7. Jupyter Notebook Pandas and data structures.srt - 13.43 KB
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3. Jupyter Notebook Matplotlib basics.srt - 13.26 KB
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5. Jupyter Notebook Title and Labels.srt - 12.42 KB
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4. Jupyter Notebook Work with Axis.srt - 12.4 KB
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6. Jupyter Notebook Matplotlib and Pandas.srt - 10.04 KB
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9. Exercises.srt - 7.42 KB
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2. Overview of section.srt - 6.59 KB
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11. What did we learn.srt - 2.07 KB
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1. Introduction.srt - 1013 B
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10. Solutions.mp4 - 188.52 MB
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7. Jupyter Notebook Pandas and data structures.mp4 - 146.09 MB
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3. Jupyter Notebook Matplotlib basics.mp4 - 120.74 MB
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4. Jupyter Notebook Work with Axis.mp4 - 115.37 MB
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8. Jupyter Notebook Bar plots.mp4 - 114.02 MB
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5. Jupyter Notebook Title and Labels.mp4 - 104.82 MB
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2. Overview of section.mp4 - 104.61 MB
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6. Jupyter Notebook Matplotlib and Pandas.mp4 - 96.98 MB
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9. Exercises.mp4 - 76.14 MB
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11. What did we learn.mp4 - 31.52 MB
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1. Introduction.mp4 - 20.96 MB
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4. Python Crash Course
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1. Introduction.srt - 1.63 KB
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14. Solutions.srt - 18.97 KB
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2. Variables and types.srt - 15.8 KB
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16. What did we learn.srt - 1.76 KB
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12. Lambda functions.srt - 10.8 KB
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4. Boolean expressions.srt - 7.85 KB
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13. Exercises.srt - 7.55 KB
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6. Python lists.srt - 7.12 KB
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7. For-loops.srt - 6.49 KB
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5. If statements.srt - 6.2 KB
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9. Python Dictionaries (dict).srt - 5.46 KB
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11. Functions.srt - 5.34 KB
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10. Other types.srt - 5.11 KB
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15. New to Python We have all been there.srt - 4.65 KB
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3. The print statement.srt - 3.77 KB
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8. While loops.srt - 3.51 KB
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14. Solutions.mp4 - 164.75 MB
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2. Variables and types.mp4 - 157.86 MB
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12. Lambda functions.mp4 - 109.57 MB
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4. Boolean expressions.mp4 - 82.6 MB
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5. If statements.mp4 - 74.06 MB
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13. Exercises.mp4 - 72.72 MB
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15. New to Python We have all been there.mp4 - 72.23 MB
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6. Python lists.mp4 - 71.68 MB
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7. For-loops.mp4 - 62.36 MB
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11. Functions.mp4 - 59.74 MB
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9. Python Dictionaries (dict).mp4 - 54 MB
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10. Other types.mp4 - 53.86 MB
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3. The print statement.mp4 - 39.35 MB
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8. While loops.mp4 - 35.63 MB
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16. What did we learn.mp4 - 27 MB
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1. Introduction.mp4 - 24.77 MB
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16. Finish Line
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2. 3 Books to Read.srt - 18.47 KB
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3. Goodbye.srt - 2.9 KB
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1. Introduction.srt - 1.29 KB
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2. 3 Books to Read.mp4 - 231.78 MB
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3. Goodbye.mp4 - 44.94 MB
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1. Introduction.mp4 - 19.98 MB
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6. Pandas
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4. DataFrames - Part I.srt - 17.64 KB
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3. Series.srt - 17.47 KB
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2. Introduction to Pandas - a small demonstration.srt - 16.53 KB
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10. Read and Write with Pandas - Part II.srt - 16.26 KB
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9. Read and Write with Pandas - Part I.srt - 14.89 KB
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19. Solutions.srt - 14.13 KB
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11. Read and Write with Pandas - Part III.srt - 13.97 KB
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16. Useful methods to know.srt - 11.58 KB
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12. Merge - Join - Concatenate - Part I.srt - 11.44 KB
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8. DataFrames - Part V.srt - 11.09 KB
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7. DataFrames - Part IV.srt - 11.06 KB
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5. DataFrames - Part II.srt - 10.61 KB
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6. DataFrames - Part III.srt - 10.56 KB
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14. Transpose and clean data.srt - 10.2 KB
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1. Introduction.srt - 9.71 KB
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17. Apply - an awesome method to master.srt - 7.71 KB
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18. Exercises.srt - 7.57 KB
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15. Views.srt - 7.39 KB
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20. What did we learn.srt - 2.95 KB
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13. Merge - Join - Concatenate - Part II.srt - 6.36 KB
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4. DataFrames - Part I.mp4 - 167.24 MB
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9. Read and Write with Pandas - Part I.mp4 - 165.71 MB
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3. Series.mp4 - 159.69 MB
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10. Read and Write with Pandas - Part II.mp4 - 156.62 MB
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2. Introduction to Pandas - a small demonstration.mp4 - 156.46 MB
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11. Read and Write with Pandas - Part III.mp4 - 155.99 MB
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19. Solutions.mp4 - 139.83 MB
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1. Introduction.mp4 - 137.59 MB
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6. DataFrames - Part III.mp4 - 117.87 MB
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12. Merge - Join - Concatenate - Part I.mp4 - 112.6 MB
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16. Useful methods to know.mp4 - 111.35 MB
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14. Transpose and clean data.mp4 - 110.79 MB
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5. DataFrames - Part II.mp4 - 107.46 MB
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8. DataFrames - Part V.mp4 - 104.4 MB
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7. DataFrames - Part IV.mp4 - 98.66 MB
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17. Apply - an awesome method to master.mp4 - 77.88 MB
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15. Views.mp4 - 76.57 MB
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18. Exercises.mp4 - 74.34 MB
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13. Merge - Join - Concatenate - Part II.mp4 - 68.44 MB
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20. What did we learn.mp4 - 47.15 MB
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1. Introduction
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2. Get the most out of this course.srt - 5.55 KB
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1. One Question.srt - 3.12 KB
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2. Get the most out of this course.mp4 - 75.17 MB
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1. One Question.mp4 - 43.21 MB
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TutsNode.com.txt - 63 B
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.pad
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[TGx]Downloaded from torrentgalaxy.to .txt - 585 B
-
| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://tracker.opentrackr.org:1337/announce | 17 | 3 | 238 |
| udp://tracker.moeking.me:6969/announce | 0 | 0 | 1 |
| udp://tracker.torrent.eu.org:451/announce | 0 | 0 | 2 |
| udp://open.stealth.si:80/announce | 2 | 0 | 118 |
| udp://tracker.openbittorrent.com:80/announce | 11 | 3 | 10 |
| udp://ipv4.tracker.harry.lu:80/announce | 5 | 3 | 0 |
| udp://retracker.lanta-net.ru:2710/announce | 0 | 1 | 12 |
| udp://tracker4.itzmx.com:2710/announce | 0 | 0 | 0 |
| udp://explodie.org:6969/announce | 0 | 0 | 0 |
| udp://tracker.internetwarriors.net:1337/announce | 6 | 0 | 20 |
| udp://exodus.desync.com:6969/announce | 0 | 1 | 3 |
InfoHash:
1F40AC7B40418E83FF94119B74A83C438B05FEAB
Last updated:
Jan 25, 2022
File count:
567 B
File Category:
9
Tags:
Other, Tutorials