[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fB06grTdWi08JChkSopZon43UH6tBOq9Wtc4Z7y8B0pY":3},{"id":4,"name":5,"category_id":6,"subcategory_id":7,"uploaded_by":8,"downloads":9,"size":10,"seeders":11,"leechers":12,"infohash":13,"language":14,"title":15,"slogan":15,"poster_alt":16,"description":15,"cover_image":15,"magnet_link":17,"stream_link":16,"content":18,"files":19,"comments_count":20,"tracker_list":21,"date_uploaded":22,"last_checked":22,"last_checked_at":16,"user_id":16,"submit_flag":20,"uploaded_at":23,"created_at":24,"updated_at":24,"slugged_title":25,"category_name":26,"subcategory_name":27,"uploaded_ago":28,"category":29,"subcategory":30,"comments":32},6584305,"Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and NumPy",9,34,"freecoursewb",31641,"2.4 GB",17215,9131,"4028550F6C0320D8A4FA5DA85977F2B2435EA5B0","English","",null,"magnet:?xt=urn:btih:4028550F6C0320D8A4FA5DA85977F2B2435EA5B0&dn=Udemy+-+Python+Data+Analysis+-+Matplotlib%2C+Seaborn%2C+Pandas+and+NumPy&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Ftracker.tiny-vps.com%3A6969%2Fannounce&tr=http%3A%2F%2Ftracker.foreverpirates.co%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.cyberia.is%3A6969%2Fannounce&tr=udp%3A%2F%2Fexodus.desync.com%3A6969%2Fannounce&tr=udp%3A%2F%2Fexplodie.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2780%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Fipv4.tracker.harry.lu%3A80%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2F9.rarbg.to%3A2900%2Fannounce&tr=udp%3A%2F%2F9.rarbg.me%3A2720%2Fannounce&tr=udp%3A%2F%2Fopentor.org%3A2710%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=http%3A%2F%2Ftracker.openbittorrent.com%3A80%2Fannounce&tr=udp%3A%2F%2Fopentracker.i2p.rocks%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.internetwarriors.net%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.leechers-paradise.org%3A6969%2Fannounce&tr=udp%3A%2F%2Fcoppersurfer.tk%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.zer0day.to%3A1337%2Fannounce","\u003Cp>\u003Cstrong> Python Data Analysis - Matplotlib, Seaborn, Pandas & NumPy  \u003C/strong>\n\u003Cbr>\u003Cbr>\u003Cspan style=\"font-size: 16px\">\u003Cstrong>\u003Ca target=\"_blank\" href=\"https://WebToolTip.com\">https://WebToolTip.com\u003C/a> \u003C/strong>\u003C/span>\n\u003Cbr>\u003Cbr>Published 1/2026\n\u003Cbr>Created by Muhammad Riaz Uddin\n\u003Cbr>MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch\n\u003Cbr>Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 3h 0m ) | Size: 2.4 GB\n\u003Cbr>\u003Cbr>Master Data Analysis with Python: Visualize Data, Clean Datasets, Analysis Using Matplotlib, Seaborn, Pandas and NumPy\n\u003Cbr>\u003Cbr>What you'll learn\n\u003Cbr>✓ Introduction to Python\n\u003Cbr>✓ Data Types and Variables\n\u003Cbr>✓ Operators and Expressions\n\u003Cbr>✓ Control Flow (if/else, loops)\n\u003Cbr>✓ Functions and Modules\n\u003Cbr>✓ Introduction to Pandas\n\u003Cbr>✓ Data Loading and Cleaning\n\u003Cbr>✓ Data Filtering and Selection\n\u003Cbr>✓ Introduction to Matplotlib\n\u003Cbr>✓ Creating Basic Plots\n\u003Cbr>✓ Working with Subplots\n\u003Cbr>✓ Introduction to Seaborn\n\u003Cbr>✓ Exploratory Data Analysis with Seaborn\n\u003Cbr>✓ Introduction to NumPy Arrays\n\u003Cbr>✓ Array Operations and Broadcasting\n\u003Cbr>✓ Linear Algebra with NumPy\n\u003Cbr>✓ Machine Learning Concepts\n\u003Cbr>✓ Supervised Learning Algorithms\n\u003Cbr>✓ Model Evaluation and Selection\n\u003Cbr>✓ Introduction to APIs\n\u003Cbr>✓ Making API Requests\n\u003Cbr>✓ Web Scraping Techniques\n\u003Cbr>\u003Cbr>Requirements\n\u003Cbr>● Basic Python knowledge is helpful but not required\n\u003Cbr>● No prior experience with data analysis or visualization needed\u003C/p>","\u003Ch2>Files: \u003C/h2>\n                            \u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>[ WebToolTip.com ] Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and NumPy\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-other-file\">\u003C/i>Get Bonus Downloads Here.url (0.2 KB)\u003C/li>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>~Get Your Files Here !\u003C/span>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>1 - Python Fundamentals\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>1. Introduction to Python.mp4 (41.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>2. Data Types and Variables.mp4 (34.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>3. Operators and Expressions.mp4 (99.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>4. Control Flow (if else loops).mp4 (67.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>5. Functions and Modules.mp4 (56.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>6. Working with Files.mp4 (83.1 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>2 - Data Manipulation with Pandas\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>10. Data Filtering and Selection.mp4 (104.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>11. Data Aggregation and Transformation.mp4 (92.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>12. Working with Time Series Data.mp4 (80.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>7. Introduction to Pandas.mp4 (63.9 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>8. Series and DataFrames.mp4 (66.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>9. Data Loading and Cleaning.mp4 (91.1 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>3 - Data Visualization with Matplotlib & Seaborn\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>13. Introduction to Matplotlib.mp4 (104.2 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>14. Creating Basic Plots.mp4 (65.6 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>15. Customizing Plots.mp4 (75.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>16. Working with Subplots.mp4 (66.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>17. Introduction to Seaborn.mp4 (79.0 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>18. Exploratory Data Analysis with Seaborn.mp4 (78.6 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>4 - Data Analysis with NumPy\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>19. Introduction to NumPy Arrays.mp4 (98.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>20. Array Operations and Broadcasting.mp4 (90.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>21. Linear Algebra with NumPy.mp4 (94.1 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>22. Random Number Generation.mp4 (84.0 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>5 - Introduction to Machine Learning\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>23. Machine Learning Concepts.mp4 (55.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>24. Supervised Learning Algorithms.mp4 (131.8 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>25. Unsupervised Learning Algorithms.mp4 (101.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>26. Model Evaluation and Selection.mp4 (132.1 MB)\u003C/li>\n\u003C/ul>\n\u003Cspan class=\"head\">\u003Ci class=\"flaticon-folder\">\u003C/i>6 - Working with APIs and Web Data\u003C/span>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>27. Introduction to APIs.mp4 (50.7 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>28. Making API Requests.mp4 (52.3 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>29. Parsing JSON and XML Data.mp4 (86.4 MB)\u003C/li>\n\u003Cli>\n\u003Ci class=\"flaticon-movies\">\u003C/i>30. Web Scraping Techniques.mp4 (90.3 MB)\u003C/li>\n\u003C/ul>\n\u003Cul>\n\u003Cli>\n\u003Ci class=\"flaticon-book\">\u003C/i>Bonus Resources.txt (0.1 KB)\u003C/li>\n\n              \u003C/ul>\n\u003C/ul>",0,"\u003Ch3>\n                                Code:\n                            \u003C/h3>\n                            \u003Cul>\n                                \u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.torrent.eu.org:451/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.tiny-vps.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        http://tracker.foreverpirates.co:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.cyberia.is:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://exodus.desync.com:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://explodie.org:6969/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.opentrackr.org:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2780/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://tracker.internetwarriors.net:1337/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://ipv4.tracker.harry.lu:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://open.stealth.si:80/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.to:2900/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://9.rarbg.me:2720/announce                                    \u003C/li>\u003Cli>\n                                        \u003Cspan class=\"icon\">\n                                            \u003Ci class=\"flaticon-href-link\">\n                                            \u003C/i>\n                                        \u003C/span>\n                                        udp://opentor.org:2710/announce                                    \u003C/li>                            \u003C/ul>","Feb. 13th '26","2026-02-15 06:26:45","2026-02-15T06:26:45.000000Z","udemy-python-data-analysis-matplotlib-seaborn-pandas-and-numpy","Other","Tutorials","Feb. 15th '26",{"id":6,"name":26},{"id":7,"name":27,"icon":31},"flaticon-tutorial",[]]