| 01 - Fundamentals of Matplotlib.mp4 | 6.1 MB | ||
| 01 - Fundamentals of Matplotlib.srt | 6.2 KB | ||
| 01 - Intro to Faker.mp4 | 5.6 MB | ||
| 01 - Intro to Faker.srt | 5.2 KB | ||
| 01 - Overview of Polars.mp4 | 26.4 MB | ||
| 01 - Overview of Polars.srt | 15.5 KB | ||
| 01 - Overview of pandas.mp4 | 4.5 MB | ||
| 01 - Overview of pandas.srt | 3.7 KB | ||
| 01 - Summary.mp4 | 1.9 MB | ||
| 01 - Summary.srt | 2.4 KB | ||
| 01 - The right tool for the job.mp4 | 2.6 MB | ||
| 01 - The right tool for the job.srt | 1.5 KB | ||
| 02 - Comparing Polars with pandas.mp4 | 5.4 MB | ||
| 02 - Comparing Polars with pandas.srt | 5.4 KB | ||
| 02 - Creating a basic plot.mp4 | 15 MB | ||
| 02 - Creating a basic plot.srt | 9 KB | ||
| 02 - Generating basic data.mp4 | 9.1 MB | ||
| 02 - Generating basic data.srt | 4.1 KB | ||
| 02 - Getting set up.mp4 | 8.7 MB | ||
| 02 - Getting set up.srt | 8.3 KB | ||
| 02 - pandas data structures.mp4 | 25.9 MB | ||
| 02 - pandas data structures.srt | 15.2 KB | ||
| 03 - Customizing plot appearance.mp4 | 27 MB | ||
| 03 - Customizing plot appearance.srt | 12 KB | ||
| 03 - Generating numerical data.mp4 | 19.8 MB | ||
| 03 - Generating numerical data.srt | 9.3 KB | ||
| 03 - Overview of the libraries.mp4 | 2.1 MB | ||
| 03 - Overview of the libraries.srt | 2.2 KB | ||
| 03 - Reading and writing data files with pandas.mp4 | 27 MB | ||
| 03 - Reading and writing data files with pandas.srt | 14.7 KB | ||
| 03 - Reading and writing data with Polars.mp4 | 14.6 MB | ||
| 03 - Reading and writing data with Polars.srt | 7.3 KB | ||
| 04 - Generating text data.mp4 | 18.3 MB | ||
| 04 - Generating text data.srt | 7.9 KB | ||
| 04 - Working with Polars data.mp4 | 21.3 MB | ||
| 04 - Working with Polars data.srt | 11.4 KB | ||
| 04 - pandas data operations.mp4 | 20.3 MB | ||
| 04 - pandas data operations.srt | 9.8 KB | ||
| 05 - Combining Faker with pandas.mp4 | 37.9 MB | ||
| 05 - Combining Faker with pandas.srt | 14.9 KB | ||
| 05 - Data cleaning with pandas.mp4 | 4.2 MB | ||
| 05 - Data cleaning with pandas.srt | 3.9 KB | ||
| 05 - Lazy execution with Polars.mp4 | 20.9 MB | ||
| 05 - Lazy execution with Polars.srt | 10.4 KB | ||
| 06 - Data cleaning operations.mp4 | 19 MB | ||
| 06 - Data cleaning operations.srt | 8.8 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 48 total files | |||
Advanced Python: Top Tools for Data Science and Engineering
https://WebToolTip.com
Released 05/2025
With Joe Marini
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 5m 57s | Size: 344 MB
This comprehensive course is designed to equip you with the essential skills for data analysis and application development using Python and popular data tools and libraries.
Course details
This comprehensive course is designed to equip you with the essential skills for data processing, analysis, and application development using Python and the most popular data tools. Instructor Joe Marini shows you how to leverage powerful libraries and tools to manipulate data, interact with APIs, work with spreadsheets, and create shareable data applications. Joe gets you up and running with these popular tools, so you can decide for yourself where you want to explore further.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.8 GB | freecoursewb | 4 months | 3 | 0 | |
| 3.9 GB | freecoursewb | 6 months | 4 | 6 | |
| 3.9 GB | freecoursewb | 9 months | 21 | 9 | |
| 912.9 MB | freecoursewb | 1 year | 6 | 0 | |
| 1.3 GB | freecoursewb | 1 year | 10 | 1 |
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