:Search:

Udemy Master Python Programming in 30 days 2025

Torrent:
Info Hash: 72EAA97BF0FD9C39ACE96F27771F35FE7084EB36
Similar Posts:
Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 8888
Type: Tutorials
Language: English
Category: Other
Size: 3.3 GB
Added: April 3, 2025, 9:40 p.m.
Peers: Seeders: 128, Leechers: 13 (Last updated: 2 months ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://tracker.opentrackr.org:1337/announce 45 4 3712
udp://tracker.openbittorrent.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.internetwarriors.net:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.leechers-paradise.org:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.coppersurfer.tk:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://exodus.desync.com:6969/announce 27 2 560
udp://tracker.therarbg.to:6969/announce 1 1 0
udp://tracker.tiny-vps.com:6969/announce 15 1 810
udp://open.demonii.si:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.torrent.eu.org:451/announce 40 5 3806
Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Introduction to Python.mp4 18.1 MB
  3. 1 -Introduction to functions.mp4 42.5 MB
  4. 1 -Python.ipynb 102.3 KB
  5. 2 -Types of Functions.mp4 26.9 MB
  6. 3 -Function Overloading and Function Overriding.mp4 12.0 MB
  7. 1 -Introduction to Lambda functions and Higher Order function.mp4 39.1 MB
  8. 1 -Python.ipynb 102.3 KB
  9. 1 -Introduction to Decorators.mp4 14.5 MB
  10. 1 -Python.ipynb 102.3 KB
  11. 2 -Introduction to Generators.mp4 10.4 MB
  12. 2 -Python.ipynb 102.3 KB
  13. 3 -Case Study- How to process a large CSV files.mp4 24.3 MB
  14. 3 -Case Study- How to process large CSV files.ipynb 1.6 MB
  15. 1 -Classes and Objects.ipynb 10.6 KB
  16. 1 -Introduction to Classes and Objects.mp4 26.2 MB
  17. 1 -Classes and Objects.ipynb 10.6 KB
  18. 1 -Object Oriented Programming.mp4 97.1 MB
  19. 1 -File handling.ipynb 7.9 KB
  20. 1 -Introduction to File Handling.mp4 76.4 MB
  21. 2 -Exception Handling.ipynb 7.3 KB
  22. 2 -Introduction to Exception Handling.mp4 24.2 MB
  23. 1 -Introduction to regular expression.mp4 95.0 MB
  24. 2 -Project- Scrapping data from websites in a simple manner.mp4 32.8 MB
  25. 2 -Scrapping_data_from_websites (1).ipynb 121.3 KB
  26. 1 -Introduction to Logging.mp4 11.3 MB
  27. 1 -logging.ipynb 1.1 KB
  28. 2 -Debugging.ipynb 5.8 KB
  29. 2 -Introduiction to Debugging.mp4 29.6 MB
  30. 3 -Advanced debugging.mp4 10.6 MB
  31. 1 -Introduction to Testing in Python.mp4 23.3 MB
  32. 2 -Advance testing in Python.mp4 16.4 MB
  33. 1 -Introduction to Command Line Argument.mp4 4.2 MB
  34. 2 -CMD1.py 164 bytes
  35. 2 -SYS Library.mp4 15.2 MB
  36. 3 -Argument Parser Library.mp4 23.3 MB
  37. 3 -CMD2.py 393 bytes
  38. 1 -Python Installation.mp4 10.9 MB
  39. 1 -Introduction to Databases.mp4 2.3 MB
  40. 2 -CRUD Operations in Python.mp4 54.0 MB
  41. 2 -Databases.ipynb 24.4 KB
  42. 3 -Databases.ipynb 24.4 KB
  43. 3 -Indexes in Python.mp4 9.7 MB
  44. 4 -Databases.ipynb 24.4 KB
  45. 4 -Joins in Python.mp4 48.1 MB
  46. 5 -Constraint in Python.mp4 34.6 MB
  47. 5 -Databases.ipynb 24.4 KB
  48. 1 -Introduction to API and how to create in Flask.mp4 17.6 MB
  49. 2 -Introduction to Django.mp4 20.7 MB
  50. 3 -How to create an API in Django.mp4 92.1 MB
  51. 4 - Important API's that every Python developer should know.html 4.1 KB
  52. 1 -Introduction to Pydantic and practical.mp4 13.8 MB
  53. 1 -Numpy.ipynb 4.3 MB
  54. 1 -Numpy.mp4 124.4 MB
  55. 2 -Pandas (Series and DataFrames).mp4 25.4 MB
  56. 3 -Common pandas functions.mp4 43.5 MB
  57. 4 -Pandas plotting functions.mp4 50.0 MB
  58. 5 -Case Study- How to deal with the nested json files.mp4 30.7 MB
  59. 6 -Matplotlib.ipynb 273.4 KB
  60. 6 -Matplotlib.mp4 101.2 MB
  61. 7 -Seaborn.ipynb 281.5 KB
  62. 7 -Seaborn.mp4 82.3 MB
  63. 8 -Plotly.mp4 123.3 MB
  64. 9 -How to automatically visualize any dataset in one line.mp4 21.0 MB
  65. 1 -End to End Data Preprocessing Pipeline.mp4 452.5 MB
  66. 2 -End to End Exploratory Data Preprocessing Pipeline- Part 1.mp4 192.5 MB
  67. 3 -End to End Exploratory Data Analysis Pipeline- Part 2.mp4 190.6 MB
  68. 4 -End to End Exploratory Data Analysis Pipeline- Part 3.mp4 270.5 MB
  69. 5 -Automate Data Cleaning and EDA in just 3 lines of code.mp4 128.9 MB
  70. 1 -Introduction to virtual environment and how do you create one.mp4 18.8 MB
  71. 2 -How to deal with large dataset.ipynb 23.7 KB
  72. 2 -How to process 100GBs of Data in Seconds.mp4 69.7 MB
  73. 3 -How to accelerate the performance of Python code.mp4 85.3 MB
  74. 3 -How_to_accelerate_the_performance_of_Python_code (1).ipynb 24.7 KB
  75. 4 -How to install python libraries at 10-100x faster than pip.mp4 11.4 MB
  76. 5 -How to open a terminal in Google colab or Jupyter Notebook.mp4 6.0 MB
  77. 1 -Introduction to Jupyter notebook.mp4 23.7 MB
  78. 1 -Introduction to Variable.mp4 17.8 MB
  79. 1 -Python.ipynb 102.3 KB
  80. 2 -Introduction to keyword.mp4 6.9 MB
  81. 3 -Introduction to Comments.mp4 5.7 MB
  82. 1 -Introduction to Operators.mp4 52.8 MB
  83. 1 -Python.ipynb 102.3 KB
  84. 1 -How to take input from the user.mp4 19.1 MB
  85. 1 -Python.ipynb 102.3 KB
  86. 1 -Introduction to Conditional Statement.mp4 29.8 MB
  87. 1 -Python.ipynb 102.3 KB
  88. 1 -Introduction to looping statements.mp4 30.3 MB
  89. 1 -Python.ipynb 102.3 KB
  90. 2 -Introduction to Zip.mp4 7.1 MB
  91. 1 -Numbers and Strings.mp4 76.5 MB
  92. 1 -Python.ipynb 102.3 KB
  93. 2 -Introduction to Array.mp4 18.9 MB
  94. 3 -Introduction to List.mp4 23.9 MB
  95. 4 -List Comphrension.mp4 12.6 MB
  96. 5 -Introduction to Tuple.mp4 16.5 MB
  97. 6 -Introduction to Dictionary.mp4 19.9 MB
  98. 7 -Introduction to Sets.mp4 25.0 MB
  99. Bonus Resources.txt 70 bytes

Discussion