Udemy - Master Python for Data Handling

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[ DevCourseWeb.com ] Udemy - Master Python for Data Handling
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (108.2 MB)
    • 1. Introduction.srt (14.0 KB)
    • 2. Setup of the Anaconda Cloud Notebook.mp4 (55.2 MB)
    • 2. Setup of the Anaconda Cloud Notebook.srt (6.0 KB)
    • 3. Download and installation of the Anaconda Distribution (optional).mp4 (146.6 MB)
    • 3. Download and installation of the Anaconda Distribution (optional).srt (16.1 KB)
    • 4. The Conda Package Management System (optional).mp4 (268.4 MB)
    • 4. The Conda Package Management System (optional).srt (28.3 KB)
    2. Master Python for Data Handling
    • 1. Overview of Python for Data Handling.mp4 (256.2 MB)
    • 1. Overview of Python for Data Handling.srt (37.9 KB)
    • 10. Python Dictionary.mp4 (222.5 MB)
    • 10. Python Dictionary.srt (25.6 KB)
    • 11. Python List.mp4 (252.6 MB)
    • 11. Python List.srt (22.6 KB)
    • 12. Overview of Python Data Transformers and Functions.mp4 (22.9 MB)
    • 12. Overview of Python Data Transformers and Functions.srt (3.9 KB)
    • 13. Python While-loop.mp4 (131.2 MB)
    • 13. Python While-loop.srt (18.3 KB)
    • 14. Python For-loop.mp4 (118.4 MB)
    • 14. Python For-loop.srt (10.7 KB)
    • 15. Python Logic Operators and conditional code branching.mp4 (220.7 MB)
    • 15. Python Logic Operators and conditional code branching.srt (22.7 KB)
    • 16. Python Functions I Some theory.mp4 (31.5 MB)
    • 16. Python Functions I Some theory.srt (4.7 KB)
    • 17. Python Functions II create your own functions.mp4 (235.1 MB)
    • 17. Python Functions II create your own functions.srt (27.5 KB)
    • 18. Python Object Oriented Programming I Some theory.mp4 (159.4 MB)
    • 18. Python Object Oriented Programming I Some theory.srt (13.3 KB)
    • 19. Python Object Oriented Programming II create your own custom objects.mp4 (338.8 MB)
    • 19. Python Object Oriented Programming II create your own custom objects.srt (16.0 KB)
    • 2. Python Integer.mp4 (85.9 MB)
    • 2. Python Integer.srt (11.9 KB)
    • 20. Python Object Oriented Programming III Files and Tables.mp4 (265.9 MB)
    • 20. Python Object Oriented Programming III Files and Tables.srt (17.0 KB)
    • 21. Python Object Oriented Programming IV Recap and More.mp4 (405.9 MB)
    • 21. Python Object Oriented Programming IV Recap and More.srt (51.0 KB)
    • 21.1 Text_file.txt (0.2 KB)
    • 3. Python Float.mp4 (64.2 MB)
    • 3. Python Float.srt (7.3 KB)
    • 4. Python Strings I.mp4 (87.6 MB)
    • 4. Python Strings I.srt (11.0 KB)
    • 5. Python Strings II Intermediate String Methods.mp4 (141.7 MB)
    • 5. Python Strings II Intermediate String Methods.srt (15.6 KB)
    • 6. Python Strings III DateTime Objects and Strings.mp4 (154.5 MB)
    • 6. Python Strings III DateTime Objects and Strings.srt (19.9 KB)
    • 7. Overview of Python Native Data Storage Structures.mp4 (21.2 MB)
    • 7. Overview of Python Native Data Storage Structures.srt (3.4 KB)
    • 8. Python Set.mp4 (99.6 MB)
    • 8. Python Set.srt (12.0 KB)
    • 9. Python Tuple.mp4 (159.1 MB)
    • 9. Python Tuple.srt (18.1 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Master Python for Data Handling

https://DevCourseWeb.com

Published 12/2023
Created by Henrik Johansson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 9h 5m ) | Size: 4 GB

Learn to master the Python programming language and how to use Python for advanced Data Handling

What you'll learn
Master Python Programming - data types, native data structures, data transformers, functions, and logic
Python Object Oriented Programming - understand object orientation, create custom advanced objects, methods, and and functions, learn to generalize functions
Data Handling - understand data handling, transform, manipulate, and calculate data. Move data between common file formats and data structures
Advanced Data Handling - understand and use advanced multi-dimensional uneven data structures How to generalize functions
Cloud Computing - use Anaconda Cloud Notebook (Jupyter Notebook). Learn to use Cloud Computing resources
Optional: use Anaconda Distribution's Jupyter Notebook and Conda package management system

Requirements
Everyday experience using a computer with Windows, MacOS, or Linux is recommended
Access to a computer with an internet connection
Programming experience is not needed
The course only uses costless software
Walk-you-through installation and setup videos for Windows 10/11 is included



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Udemy - Master Python for Data Handling

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4 GB
seeders:1
leechers:94
Udemy - Master Python for Data Handling

Torrent hash: 4BF5F475ABC0BF3F17236F58DB3C38C49D3C6F37