Video Training → Udemy - The Complete Python Network Programming Course for 2021

Published by: voska89 on 4-08-2021, 18:44 | 0

Video Training → Udemy - Master in Advance Python

Published by: voska89 on 4-08-2021, 18:43 | 0

Video Training → Managing Python Dependencies

Published by: voska89 on 4-08-2021, 18:38 | 0

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 37 Lessons (1h 59m) | Size: 473.3 MB
Managing Python Dependencies is your "one-stop shop" for picking up modern Python dependency management practices and workflows with minimal time investment.

Video Training → Evaluate Expressions Dynamically With Python eval()

Published by: voska89 on 4-08-2021, 18:36 | 0

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lessons (49m) | Size: 116.7 MB
The built-in Python function eval() is used to evaluate Python expressions. You can pass a string containing Python, or a pre-compiled object into eval() and it will run the code and return the result.

Video Training → Udemy - Python and Django Full-Stack Web Development for beginners

Published by: voska89 on 3-08-2021, 12:54 | 0

Video Training → Udemy - Create Space Invaders with Python PyGame

Published by: voska89 on 3-08-2021, 12:50 | 0

Video Training → Linkedin Learning - Python Working with Files

Published by: Minhchick on 2-08-2021, 19:55 | 0

Linkedin Learning - Python Working with Files
English | Size: 328 MB
Category: Python

When you're working with files of any kind, nothing saves time like automation.

Video Training → Udemy - Data Structures & Algorithms - Python - Udemy

Published by: voska89 on 2-08-2021, 11:00 | 0

Video Training → Statistics with Python Specialization

Published by: voska89 on 2-08-2021, 10:57 | 0

MP4 | Video: 1280X720 | Audio: AAC 44.1 Khz , 1ch | Duration: 21h 9 min | Language: English | Subtitles: Multilanguage | 3.5 GB
Understanding and Visualizing Data with Python
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.