| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Welcome Python Fundamentals for Real Estate Bootcamp | |||
| 1. Python Bootcamp Course Outline.pdf | 1.3 MB | ||
| 1. Welcome - Course Introduction.html | 6 KB | ||
| 2 - Getting Started with Python | |||
| 1. Test your Learning.html | 19.5 KB | ||
| 10. Navigating Jupyter Notebook.html | 8.6 KB | ||
| 11. Writing you first Python Script.mp4 | 76.9 MB | ||
| 12. Writing you first Python Script.html | 5.9 KB | ||
| 13. Writing you first Python Script.html | 8.1 KB | ||
| 14. Writing you first Python Script.mp4 | 43.4 MB | ||
| 15. Writing you first Python Script.html | 9.3 KB | ||
| 16. Writing you first Python Script.mp4 | 15.3 MB | ||
| 17. Summary.html | 6.8 KB | ||
| 3 - Python Building Blocks | |||
| 18. Syntax and Readability.html | 5.6 KB | ||
| 19. Syntax and Readability.mp4 | 23.5 MB | ||
| 2. Test your Learning.html | 19.7 KB | ||
| 20. Syntax and Readability.html | 7.6 KB | ||
| 21. Syntax and Readability.html | 6.6 KB | ||
| 22. Variables, Data Types and Strings.mp4 | 21.7 MB | ||
| 23. Variables, Data Types and Strings.html | 6.7 KB | ||
| 24. Logical Operators & Loops in Python.html | 5.7 KB | ||
| 25. Logical Operators & Loops in Python.mp4 | 29.8 MB | ||
| 26. Logical Operators & Loops in Python.html | 7.8 KB | ||
| 27. Logical Operators & Loops in Python.html | 5.7 KB | ||
| 28. Logical Operators & Loops in Python.mp4 | 8.1 MB | ||
| 29. Logical Operators & Loops in Python.html | 8.7 KB | ||
| 30. Hands-On Exercise.html | 6.1 KB | ||
| 31. Hands-On Exercise.mp4 | 39 MB | ||
| 32. Hands-On Exercise.html | 5.9 KB | ||
| 33. Summary.html | 7.3 KB | ||
| 4 - Python Packages for Real Estate | |||
| 3. Test your Learning.html | 20 KB | ||
| 34. Introduction to Python Libraries.html | 7.2 KB | ||
| 35. NumPy for Real Estate & Exercises.html | 6.8 KB | ||
| 36. NumPy for Real Estate & Exercises.mp4 | 76.9 MB | ||
| 37. NumPy for Real Estate & Exercises.html | 7.4 KB | ||
| 38. NumPy for Real Estate & Exercises.html | 5.9 KB | ||
| 38. Numpy Exercise Answers.pdf | 54.6 KB | ||
| 39. Pandas for Real Estate & Exercises.html | 6.6 KB | ||
| 40. Pandas for Real Estate & Exercises.mp4 | 108.2 MB | ||
| 41. Pandas for Real Estate & Exercises.html | 7.3 KB | ||
| 42. Pandas Exercise Answers.pdf | 57.9 KB | ||
| 42. Pandas for Real Estate & Exercises.html | 6 KB | ||
| 43. Matplotlib and Seaborn for Real Estate.html | 8 KB | ||
| 44. Matplotlib and Seaborn for Real Estate.mp4 | 55.5 MB | ||
| 45. Matplotlib and Seaborn for Real Estate.html | 6.6 KB | ||
| 46. Matplotlib and Seaborn for Real Estate.html | 5.9 KB | ||
| 47. Summary.html | 7.3 KB | ||
| 5 - Applying Python in Real Estate | |||
| 4. Test your Learning.html | 19.8 KB | ||
| 48. Exploring Real Estate Datasets with Python.html | 6.4 KB | ||
| 49. Exploring Real Estate Datasets with Python.mp4 | 143.9 MB | ||
| 50. Exploring Real Estate Datasets with Python.html | 6 KB | ||
| 51. Exploring Real Estate Datasets with Python.html | 6.4 KB | ||
| 52. Exploring Real Estate Datasets with Python.html | 6.8 KB | ||
| 53. Exploring Real Estate Datasets with Python.html | 9.8 KB | ||
| 54. Basic Financial Modelling in Python.html | 6 KB | ||
| 55. Basic Financial Modelling in Python.mp4 | 60.5 MB | ||
| 56. Basic Financial Modelling in Python.html | 8.3 KB | ||
| 57. Building the Levered Cash Flow Model.mp4 | 67.6 MB | ||
| 58. Building the Levered Cash Flow Model.html | 7.1 KB | ||
| 59. Building the Levered Cash Flow Model.html | 6.7 KB | ||
| 6 - Python and Excel Integration | |||
| 5. Test your Learning.html | 20 KB | ||
| 61. Introducing xlwings.html | 6.4 KB | ||
| 62. Advanced Sensitivity Analysis in Python and xlwings.html | 6.4 KB | ||
| 63. Advanced Sensitivity Analysis in Python and xlwings.html | 6.1 KB | ||
| 63. Enhanced Data Tables in Excel using Python.ipynb.bin | 45.2 KB | ||
| 63. Enhanced Data Tables in Excel using Python.pdf | 202.4 KB | ||
| 63. SimpleModel.xlsx | 18.9 KB | ||
| 64. Advanced Sensitivity Analysis in Python and xlwings.mp4 | 192.9 MB | ||
| 65. Advanced Sensitivity Analysis in Python and xlwings.html | 7.2 KB | ||
| 7 - Wrap Up | |||
| 66. What's Next.html | 6.7 KB | ||
| 8 - Bayfield Training Executive Education | |||
| 67. Learn more about us.html | 11.5 KB | ||
| 68. Bayfield 2026 Course Brochures.html | 5.9 KB | ||
| 68. Instructor Led Courses Brochure 2026.pdf | 11.7 MB | ||
| 68. Online Courses Brochure 2026.pdf | 6.7 MB | ||
| 69. Bayfield Free Property Webinars.html | 6.3 KB | ||
| 69. Webinar Brochure 2026.pdf | 3.4 MB | ||
| 70. Disclaimer.html | 6.6 KB | ||
| 60. Course Files Mission Accomplished.html | 6 KB | ||
| 60. Python Fundamentals Bootcamp.ipynb.bin | 373.2 KB | ||
| 60. Python Fundamentals Bootcamp.pdf | 1.1 MB | ||
| Day4Data.csv | 1.7 KB | ||
| 6. Why Python for Real Estate.html | 5.9 KB | ||
| 7. Why Python for Real Estate.mp4 | 42 MB | ||
| 8. Why Python for Real Estate.html | 6.9 KB | ||
| 9. Setting up your Python Environment (Anaconda).html | 8.9 KB | ||
| 2. Welcome - Course Introduction.mp4 | 14.2 MB | ||
| 3. Meet the Trainer & your support Bayfield Team.html | 7.5 KB | ||
| 4. Useful Terminology - Python.html | 5.5 KB | ||
| 4. Useful Terminology_Python.pdf | 2.2 MB | ||
| 5. Further Reading & Resources.html | 6.2 KB |
Python Fundamentals for Real Estate Bootcamp
https://WebToolTip.com
Published 5/2026
Created by Bayfield Training
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 70 Lectures ( 2h 50m ) | Size: 1.1 GB
Python for real estate: automate analysis, build DCF models, and run advanced sensitivity beyond Excel
What you'll learn
⚡ Set up and code in Python using Anaconda and Jupyter, applying core concepts like variables, data types, loops, and operators.
⚡ Work with key libraries (NumPy, Pandas, Matplotlib, Seaborn) to clean, analyse, and visualise real estate datasets.
⚡ Build property cash flow models in Python, calculating NPV, IRR, and testing investment viability with and without leverage.
⚡ Run sensitivity analyses (simple and multi-dimensional) to evaluate how changes in assumptions affect investment outcomes.
⚡ Integrate Python with Excel using xlwings to automate workflows, extend existing models, and export results for professional reports.
Requirements
❗ No previous experience required. This is a beginner-level course,
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Udemy - Python Programming for Beginners - Learn Python from Scratch Posted by
freecoursewb in Other
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| 1.2 GB | freecoursewb | 7 hours | 0 | 0 | |
| 1.9 GB | freecoursewb | 3 weeks | 3 | 74 | |
| 1.2 GB | freecoursewb | 3 weeks | 30 | 4 | |
| 2.6 GB | freecoursewb | 3 weeks | 6 | 3 |
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