Advanced Python - Top Tools for Data Science and Engineering
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size343.8 MB
- Uploaded Byfreecoursewb
- Downloads17
- Last checkedJun. 12th '25
- Date uploadedJun. 12th '25
- Seeders 2
- Leechers11
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.
Files:
[ WebToolTip.com ] Advanced Python - Top Tools for Data Science and Engineering- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction
- 01 - The right tool for the job.mp4 (2.6 MB)
- 01 - The right tool for the job.srt (1.5 KB)
- 02 - Getting set up.mp4 (8.7 MB)
- 02 - Getting set up.srt (8.3 KB)
- 03 - Overview of the libraries.mp4 (2.1 MB)
- 03 - Overview of the libraries.srt (2.2 KB)
- 01 - Overview of pandas.mp4 (4.5 MB)
- 01 - Overview of pandas.srt (3.7 KB)
- 02 - pandas data structures.mp4 (25.9 MB)
- 02 - pandas data structures.srt (15.2 KB)
- 03 - Reading and writing data files with pandas.mp4 (27.0 MB)
- 03 - Reading and writing data files with pandas.srt (14.7 KB)
- 04 - pandas data operations.mp4 (20.3 MB)
- 04 - pandas data operations.srt (9.8 KB)
- 05 - Data cleaning with pandas.mp4 (4.2 MB)
- 05 - Data cleaning with pandas.srt (3.9 KB)
- 06 - Data cleaning operations.mp4 (19.0 MB)
- 06 - Data cleaning operations.srt (8.8 KB)
- 01 - Overview of Polars.mp4 (26.4 MB)
- 01 - Overview of Polars.srt (15.5 KB)
- 02 - Comparing Polars with pandas.mp4 (5.4 MB)
- 02 - Comparing Polars with pandas.srt (5.4 KB)
- 03 - Reading and writing data with Polars.mp4 (14.6 MB)
- 03 - Reading and writing data with Polars.srt (7.3 KB)
- 04 - Working with Polars data.mp4 (21.3 MB)
- 04 - Working with Polars data.srt (11.4 KB)
- 05 - Lazy execution with Polars.mp4 (20.9 MB)
- 05 - Lazy execution with Polars.srt (10.4 KB)
- 01 - Intro to Faker.mp4 (5.6 MB)
- 01 - Intro to Faker.srt (5.2 KB)
- 02 - Generating basic data.mp4 (9.1 MB)
- 02 - Generating basic data.srt (4.1 KB)
- 03 - Generating numerical data.mp4 (19.8 MB)
- 03 - Generating numerical data.srt (9.3 KB)
- 04 - Generating text data.mp4 (18.3 MB)
- 04 - Generating text data.srt (7.9 KB)
- 05 - Combining Faker with pandas.mp4 (37.9 MB)
- 05 - Combining Faker with pandas.srt (14.9 KB)
- 01 - Fundamentals of Matplotlib.mp4 (6.1 MB)
- 01 - Fundamentals of Matplotlib.srt (6.2 KB)
- 02 - Creating a basic plot.mp4 (15.0 MB)
- 02 - Creating a basic plot.srt (9.0 KB)
- 03 - Customizing plot appearance.mp4 (27.0 MB)
- 03 - Customizing plot appearance.srt (12.0 KB)
- 01 - Summary.mp4 (1.9 MB)
- 01 - Summary.srt (2.4 KB)
- Bonus Resources.txt (0.1 KB)
Code:
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