Mastering Data Analysis with Polars in Python Crash Course FreeCourseWeb

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FreeCourseWeb
Source
T Torrent Galaxy
Downloads
33
Language
English
Category
Other
Size
956.3 MB
Added
2024-04-08 22:04 (2 years, 7 months ago)
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Files
  1. Get Bonus Downloads Here.url183 bytes
  2. 1. Installing Python and Setting Up Your Environment.mp435.4 MB
  3. 2. How To create VENV.mp423.3 MB
  4. 3. How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article.html3.8 KB
  5. 4. How to Install Python 3 and Use Virtual Environments (venv) on linux- Article.html3.7 KB
  6. 5. How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article.html4.2 KB
  7. 6. How to Install Jupyter Lab - Practicle.mp430.6 MB
  8. 7. How to Install Jupyter Lab - Article.html7.4 KB
  9. 1. Functions in Python Definition and Usage.mp424.7 MB
  10. 2. Functions in Python Definition and Usage - QUIZ.html169 bytes
  11. 3. Functions in Python Definition and Usage - Code Exercise.html169 bytes
  12. 4. Modules and Packages Organizing Code.mp422.0 MB
  13. 5. Modules and Packages Organizing Code - QUIZ.html169 bytes
  14. 6. Modules and Packages Organizing Code - Coding Exercise.html169 bytes
  15. 7. Understanding Python Classes and Objects.mp442.7 MB
  16. 8. Understanding Python Classes and Objects - QUIZ.html169 bytes
  17. 9. Understanding Python Classes and Objects - Coding Exercise.html169 bytes
  18. 1. Getting Started with Series Polars Basic Operations.mp438.1 MB
  19. 1.1 code.ipynb3.9 KB
  20. 2. Getting Started with DataFrame Polars Basic Operations.mp428.9 MB
  21. 2.1 code.ipynb7.9 KB
  22. 3. Reading and Writing CSV Files with Polars.mp435.6 MB
  23. 3.1 code.ipynb11.6 KB
  24. 3.2 output.csv481 bytes
  25. 3.3 tips.csv18.1 KB
  26. 4. Reading and Writing Excel Files with Polars.mp412.8 MB
  27. 4.1 code.ipynb3.3 KB
  28. 4.2 example.xlsx8.4 KB
  29. 5. Converting Pandas DataFrames to Polars.mp418.6 MB
  30. 5.1 code.ipynb6.2 KB
  31. 6. Test your understanding of basic Polars concepts..html169 bytes
  32. 1. Introduction to Filtering and Selecting Data in Polars.mp429.6 MB
  33. 1.1 code.ipynb10.9 KB
  34. 2. Filtering Data with Polars.mp422.9 MB
  35. 2.1 code.ipynb9.8 KB
  36. 3. Selecting Columns and Rows with Polars.mp429.2 MB
  37. 3.1 code.ipynb8.6 KB
  38. 4. Slicing and Sampling Data with Polars.mp428.3 MB
  39. 4.1 code.ipynb6.3 KB
  40. 5. Sorting Data with Polars.mp432.4 MB
  41. 5.1 code.ipynb7.0 KB
  42. 6. Basic Data Processing with Polars QUIZ.html169 bytes
  43. 1. Introduction to Aggregations and Grouping in Polars.mp441.3 MB
  44. 1.1 code.ipynb8.5 KB
  45. 2. Aggregating Data with Polars min, max, mean, median, sum.mp422.4 MB
  46. 2.1 code.ipynb4.7 KB
  47. 3. Ranking Data with Polars.mp440.9 MB
  48. 3.1 code.ipynb7.5 KB
  49. 4. Grouping Data with Polars.mp441.0 MB
  50. 4.1 code.ipynb7.6 KB
  51. 5. Pivot Tables and Cross-Tabulations with Polars.mp453.0 MB
  52. 5.1 code.ipynb6.5 KB
  53. 6. Aggregations and Grouping in Polars QUIZ.html169 bytes
  54. 1. Joins and Concatenations Lecture.mp485.8 MB
  55. 1.1 code.ipynb13.4 KB
  56. 2. Understanding Concatenation in Polars.html3.2 KB
  57. 3. Understanding Join Types in Polars.html4.8 KB
  58. 4. Merging DataFrames with Polars QUIZ.html169 bytes
  59. 1. Memory Management Handling Large Datasets with Polars.mp452.0 MB
  60. 1.1 code.ipynb7.9 KB
  61. 2. Parallel Processing Speeding Up Data Analysis with Polars.mp442.0 MB
  62. 2.1 code.ipynb5.1 KB
  63. 3. Optimizing Performance with Polars QUIZ.html169 bytes
  64. 1. Analyzing Financial Data with Polars.mp497.4 MB
  65. 2. Real-world Applications and Case Studies QUIZ.html169 bytes
  66. 1. Conclusion And Recap.mp425.1 MB
  67. Bonus Resources.txt386 bytes

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