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Python for Finance Financial Analysis for Investing
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[TutsNode.com] - Python for Finance Financial Analysis for Investing (Size: 18.54 GB) (Files: 567)
[TutsNode.com] - Python for Finance Financial Analysis for Investing
11. Time Series Data
7. Case Study DOW Theory.mp4
7. Case Study DOW Theory.srt
8. Jupyter Notebook Case Study DOW Theory.srt
3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt
5. Jupyter Notebook CAGR.srt
6. Jupyter Notebook Multiple Time Frames.srt
2. Rate of Return, Percentage Change, and Normalization.srt
1. Introduction.srt
4. CAGR.srt
9. What did we learn.srt
8. Jupyter Notebook Case Study DOW Theory.mp4
3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.mp4
2. Rate of Return, Percentage Change, and Normalization.mp4
6. Jupyter Notebook Multiple Time Frames.mp4
5. Jupyter Notebook CAGR.mp4
1. Introduction.mp4
4. CAGR.mp4
9. What did we learn.mp4
7. Intrinsic Value
9. Jupyter Notebook Debt-to-Equity ratio.srt
16. Jupyter Notebook Revenue.srt
9. Jupyter Notebook Debt-to-Equity ratio.mp4
20. Jupyter Notebook Book Value.srt
24. Jupyter Notebook Combine All Data.srt
14. Jupyter Notebook Return of Investment.srt
11. Jupyter Notebook - Current ratio.srt
18. Jupyter Notebook Earnings Per Share (EPS).srt
7. Evaluate Leadership.srt
29. Compare it with Current Price.srt
28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).srt
12. Stable and predictable.srt
25. Calculate a Fair Price (Intrinsic Value).srt
2. Outcome of section.srt
13. Return of Investment (ROI) - Evaluation.srt
27. Jupyter Notebook Price-to-Earnings (PE) ratio.srt
15. Revenue - Evaluation.srt
30. What did we learn.srt
22. Jupyter Notebook Free Cash Flow (FCF).srt
1. Introduction.srt
3. Understand Risk - Part I.srt
8. Debt-to-Equity ration - Evaluation.srt
19. Book Value - Evaluation.srt
8.1 Investopedia - Debt-to-equity ratio.html
10.1 Investopedia - Current Ratio.html
23. Combine All Data.srt
13.1 Investopedia - Return of Investment (ROI).html
10. Current ratio - Evaluation.srt
15.1 Investopedia - Revenue.html
5. Understand Rik - Part III.srt
4. Understand Risk - Part II.srt
16.1 Investopedia - AAGR.html
16.2 Investopedia - CAGR.html
17.1 Investopedia - Earnings Per Share (EPS).html
6. Understand Risk - All put together.srt
19.1 Investopedia - Book Value.html
26. Price-to-Earnings (PE) ratio.srt
21. Free Cash Flow (FCF) - Evaluation.srt
21.1 Investopeida - Free Cash Flow (FCF).html
17. Earnings Per Share (EPS) - Evaluation.srt
26.1 Investopedia - Price-to-Earnings (PE) ratio.html
16. Jupyter Notebook Revenue.mp4
7. Evaluate Leadership.mp4
12. Stable and predictable.mp4
20. Jupyter Notebook Book Value.mp4
11. Jupyter Notebook - Current ratio.mp4
24. Jupyter Notebook Combine All Data.mp4
2. Outcome of section.mp4
25. Calculate a Fair Price (Intrinsic Value).mp4
14. Jupyter Notebook Return of Investment.mp4
28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).mp4
29. Compare it with Current Price.mp4
18. Jupyter Notebook Earnings Per Share (EPS).mp4
13. Return of Investment (ROI) - Evaluation.mp4
30. What did we learn.mp4
15. Revenue - Evaluation.mp4
8. Debt-to-Equity ration - Evaluation.mp4
3. Understand Risk - Part I.mp4
19. Book Value - Evaluation.mp4
10. Current ratio - Evaluation.mp4
27. Jupyter Notebook Price-to-Earnings (PE) ratio.mp4
23. Combine All Data.mp4
22. Jupyter Notebook Free Cash Flow (FCF).mp4
4. Understand Risk - Part II.mp4
5. Understand Rik - Part III.mp4
6. Understand Risk - All put together.mp4
26. Price-to-Earnings (PE) ratio.mp4
17. Earnings Per Share (EPS) - Evaluation.mp4
21. Free Cash Flow (FCF) - Evaluation.mp4
1. Introduction.mp4
14. Correlation and Linear Regression
4. Jupyter Notebook Volatility Calculations.srt
8. Jupyter Notebook Linear Regression.srt
10. Jupyter Notebook Beta Calculations.srt
12. Jupyter Notebook CAPM Calculations.srt
6. Jupyter Notebook Correlation Calculations.srt
14. Solutions.srt
3. Volatility of a Stock.srt
13. Exercises.srt
11. CAPM.srt
7. Linear Regression.srt
2. Adjusted Close.srt
9. Beta.srt
5. Correlation Between Securities.srt
15. What did we learn.srt
1. Introduction.srt
4. Jupyter Notebook Volatility Calculations.mp4
8. Jupyter Notebook Linear Regression.mp4
10. Jupyter Notebook Beta Calculations.mp4
14. Solutions.mp4
3. Volatility of a Stock.mp4
12. Jupyter Notebook CAPM Calculations.mp4
6. Jupyter Notebook Correlation Calculations.mp4
11. CAPM.mp4
7. Linear Regression.mp4
13. Exercises.mp4
2. Adjusted Close.mp4
5. Correlation Between Securities.mp4
9. Beta.mp4
15. What did we learn.mp4
1. Introduction.mp4
12. Technical Indicators
10. Jupyter Notebook Exporting to Excel.srt
4. Jupyter Notebook Simple Moving Average (MA).srt
9. Jupyter Notebook Stochastic Oscillator.srt
7. Jupyter Notebook MACD.srt
11. Jupyter Notebook Using our Excel Sheet.srt
13. Solutions.srt
5. Jupyter Notebook Exponential Moving Average (EMA).srt
2. What is a Technical Indicator and Types of Indicators.srt
12. Exercises.srt
3. Indicator Moving Average.srt
6. Indicator MACD.srt
8. Indicator Stochastic Oscillator.srt
1. Introduction.srt
14. What did we learn.srt
10. Jupyter Notebook Exporting to Excel.mp4
4. Jupyter Notebook Simple Moving Average (MA).mp4
9. Jupyter Notebook Stochastic Oscillator.mp4
7. Jupyter Notebook MACD.mp4
2. What is a Technical Indicator and Types of Indicators.mp4
11. Jupyter Notebook Using our Excel Sheet.mp4
13. Solutions.mp4
3. Indicator Moving Average.mp4
5. Jupyter Notebook Exponential Moving Average (EMA).mp4
6. Indicator MACD.mp4
12. Exercises.mp4
8. Indicator Stochastic Oscillator.mp4
1. Introduction.mp4
14. What did we learn.mp4
10. Data Sources
4. Jupyter Notebook Pandas Datareader - Part I.srt
9. Jupyter Notebook Web Scraping.srt
7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt
11. Solutions.srt
5. Jupyter Notebook Pandas Datareader - Part II.srt
10. Exercises.srt
2. What will we learn.srt
8. Web Scraping.srt
6. The Yahoo! Finance API - read Financial Statements.srt
3. Pandas Datareader - Remote Data Access for Pandas.srt
12. What did we learn.srt
1. Introduction.srt
4. Jupyter Notebook Pandas Datareader - Part I.mp4
9. Jupyter Notebook Web Scraping.mp4
11. Solutions.mp4
7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4
5. Jupyter Notebook Pandas Datareader - Part II.mp4
2. What will we learn.mp4
8. Web Scraping.mp4
10. Exercises.mp4
6. The Yahoo! Finance API - read Financial Statements.mp4
3. Pandas Datareader - Remote Data Access for Pandas.mp4
12. What did we learn.mp4
1. Introduction.mp4
9. Visualization and Excel Export of Financial Data
5. Export to Excel - Part II.srt
2. Matplotlib - Part I.srt
3. Matplotlib - Part II.srt
6. Export to Excel - Part III.srt
4. Export to Excel - Part I.srt
7. What did we learn.srt
1. Introduction.srt
4.1 XLSX Writer - Format.html
5. Export to Excel - Part II.mp4
2. Matplotlib - Part I.mp4
3. Matplotlib - Part II.mp4
4. Export to Excel - Part I.mp4
6. Export to Excel - Part III.mp4
7. What did we learn.mp4
1. Introduction.mp4
2. Setup
1. Introduction.srt
2. Download Anaconda (includes Python and Jupyter notebook).srt
2.1 Download link to Anaconda.html
2.2 Installation guides.html
3. Resources and setup environment in Jupyter notebook.srt
3. Resources and setup environment in Jupyter notebook.mp4
2. Download Anaconda (includes Python and Jupyter notebook).mp4
3.1 PyFinance.zip
1. Introduction.mp4
5. Lemonade Stand
5. Jupyter Notebook The Lemonade Stand.srt
11. Jupyter Notebook Dividend.srt
8. Jupyter Notebook Shares.srt
1. Introduction.srt
12. What did we learn.srt
7. Shares a story - Understand what they really are.srt
10. Dividend a story - an easy way to understand them.srt
3. Introduction to the Lemonade Stand.srt
4. The Lemonade Stand - the easy to understand example.srt
6. Shares.srt
9. Dividend.srt
2. Intrinsic Value.srt
5. Jupyter Notebook The Lemonade Stand.mp4
11. Jupyter Notebook Dividend.mp4
8. Jupyter Notebook Shares.mp4
7. Shares a story - Understand what they really are.mp4
3. Introduction to the Lemonade Stand.mp4
6. Shares.mp4
4. The Lemonade Stand - the easy to understand example.mp4
9. Dividend.mp4
2. Intrinsic Value.mp4
10. Dividend a story - an easy way to understand them.mp4
12. What did we learn.mp4
1. Introduction.mp4
3. Jupyter Notebook guide
1. Introduction.srt
1.1 Jupyter Notebook Cheat Sheet.html
4. Jupyter Notebook Copy and reorganize code.srt
6. Jupyter Notebook Tab + Tab + Shift & Tab.srt
7. What did we learn.srt
2. Jupyter Notebook The Dashboard.srt
3. Jupyter Notebook Run and restart a Notebook.srt
5. Jupyter Notebook Comment and markdown.srt
6. Jupyter Notebook Tab + Tab + Shift & Tab.mp4
2. Jupyter Notebook The Dashboard.mp4
3. Jupyter Notebook Run and restart a Notebook.mp4
5. Jupyter Notebook Comment and markdown.mp4
4. Jupyter Notebook Copy and reorganize code.mp4
1. Introduction.mp4
7. What did we learn.mp4
15. Working with Portfolios and Monte Carlo Simulations
7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt
8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt
11. Solutions.srt
5. Jupyter Notebook Sharpe Ratio Calculations.srt
3. Jupyter Notebook Portfolio.srt
10. Exercises.srt
9. Jupyter Notebook The Efficient Frontier.srt
6. Monte Carlo Simulations.srt
4. Sharpe Ratio.srt
12. What did we learn.srt
2. Portfolios.srt
1. Introduction.srt
8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4
11. Solutions.mp4
7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4
3. Jupyter Notebook Portfolio.mp4
5. Jupyter Notebook Sharpe Ratio Calculations.mp4
6. Monte Carlo Simulations.mp4
9. Jupyter Notebook The Efficient Frontier.mp4
10. Exercises.mp4
4. Sharpe Ratio.mp4
12. What did we learn.mp4
1. Introduction.mp4
2. Portfolios.mp4
13. NumPy
2. Jupyter Notebook Introduction to NumPy.srt
4. Jupyter Notebook DataFrames and Series with NumPy.srt
7. Jupyter Notebook Dot product and Transpose.srt
3. Jupyter Notebook Index, Slicing, and Views.srt
9. Solutions.srt
5. Jupyter Notebook Vectorization with NumPy.srt
6. Jupyter Notebook Matplotlib and NumPy.srt
8. Exercises.srt
1. Introduction.srt
10. What did we learn.srt
4. Jupyter Notebook DataFrames and Series with NumPy.mp4
7. Jupyter Notebook Dot product and Transpose.mp4
2. Jupyter Notebook Introduction to NumPy.mp4
9. Solutions.mp4
5. Jupyter Notebook Vectorization with NumPy.mp4
6. Jupyter Notebook Matplotlib and NumPy.mp4
3. Jupyter Notebook Index, Slicing, and Views.mp4
1. Introduction.mp4
8. Exercises.mp4
10. What did we learn.mp4
8. Matplotlib
10. Solutions.srt
5.1 Matplotlib Overview.html
8. Jupyter Notebook Bar plots.srt
7. Jupyter Notebook Pandas and data structures.srt
3. Jupyter Notebook Matplotlib basics.srt
5. Jupyter Notebook Title and Labels.srt
4. Jupyter Notebook Work with Axis.srt
6. Jupyter Notebook Matplotlib and Pandas.srt
9. Exercises.srt
2. Overview of section.srt
11. What did we learn.srt
1. Introduction.srt
10. Solutions.mp4
7. Jupyter Notebook Pandas and data structures.mp4
3. Jupyter Notebook Matplotlib basics.mp4
4. Jupyter Notebook Work with Axis.mp4
8. Jupyter Notebook Bar plots.mp4
5. Jupyter Notebook Title and Labels.mp4
2. Overview of section.mp4
6. Jupyter Notebook Matplotlib and Pandas.mp4
9. Exercises.mp4
11. What did we learn.mp4
1. Introduction.mp4
4. Python Crash Course
1. Introduction.srt
14. Solutions.srt
2. Variables and types.srt
16. What did we learn.srt
12. Lambda functions.srt
4. Boolean expressions.srt
13. Exercises.srt
6. Python lists.srt
7. For-loops.srt
5. If statements.srt
9. Python Dictionaries (dict).srt
11. Functions.srt
10. Other types.srt
15. New to Python We have all been there.srt
3. The print statement.srt
8. While loops.srt
14. Solutions.mp4
2. Variables and types.mp4
12. Lambda functions.mp4
4. Boolean expressions.mp4
5. If statements.mp4
13. Exercises.mp4
15. New to Python We have all been there.mp4
6. Python lists.mp4
7. For-loops.mp4
11. Functions.mp4
9. Python Dictionaries (dict).mp4
10. Other types.mp4
3. The print statement.mp4
8. While loops.mp4
16. What did we learn.mp4
1. Introduction.mp4
16. Finish Line
2. 3 Books to Read.srt
3. Goodbye.srt
1. Introduction.srt
2. 3 Books to Read.mp4
3. Goodbye.mp4
1. Introduction.mp4
6. Pandas
4. DataFrames - Part I.srt
3. Series.srt
2. Introduction to Pandas - a small demonstration.srt
10. Read and Write with Pandas - Part II.srt
9. Read and Write with Pandas - Part I.srt
19. Solutions.srt
11. Read and Write with Pandas - Part III.srt
16. Useful methods to know.srt
12. Merge - Join - Concatenate - Part I.srt
8. DataFrames - Part V.srt
7. DataFrames - Part IV.srt
5. DataFrames - Part II.srt
6. DataFrames - Part III.srt
14. Transpose and clean data.srt
1. Introduction.srt
17. Apply - an awesome method to master.srt
18. Exercises.srt
15. Views.srt
20. What did we learn.srt
13. Merge - Join - Concatenate - Part II.srt
4. DataFrames - Part I.mp4
9. Read and Write with Pandas - Part I.mp4
3. Series.mp4
10. Read and Write with Pandas - Part II.mp4
2. Introduction to Pandas - a small demonstration.mp4
11. Read and Write with Pandas - Part III.mp4
19. Solutions.mp4
1. Introduction.mp4
6. DataFrames - Part III.mp4
12. Merge - Join - Concatenate - Part I.mp4
16. Useful methods to know.mp4
14. Transpose and clean data.mp4
5. DataFrames - Part II.mp4
8. DataFrames - Part V.mp4
7. DataFrames - Part IV.mp4
17. Apply - an awesome method to master.mp4
15. Views.mp4
18. Exercises.mp4
13. Merge - Join - Concatenate - Part II.mp4
20. What did we learn.mp4
1. Introduction
2. Get the most out of this course.srt
1. One Question.srt
2. Get the most out of this course.mp4
1. One Question.mp4
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