Lynda – Managing Python Projects

Lynda – Managing Python Projects
English | Size: 129.37 MB
Category: CBTs

While the work of coding can be a solitary endeavor, software developers don’t work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.

Udemy – Complete Python OpenCV Computer Vision Masterclass

Udemy – Complete Python OpenCV Computer Vision Masterclass
English | Size: 5.42 GB
Category: CBTs

Become a Master in Image Processing and Computer Vision with Python 3 and acquire employers’ one of the most requested skills of 21st Century! An expert level Image Processing and Computer Vision Professional can earn minimum $100000 (that’s five zeros after 1) in today’s economy.

Udemy – Master Math by Coding in Python

Udemy – Master Math by Coding in Python
English | Size: 8.89 GB
Category: CBTs

Use Python to learn algebra, calculus, graphing, trigonometry and more math topics!
Created by Codestars by Rob Percival, Mike X Cohen

PluralSight – Interpreting Data Using Statistical Models With Python

PluralSight – Interpreting Data Using Statistical Models With Python-JGTiSO
English | Size: 359.00 MB
Category: Tutorial

Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. Increasingly, different organizations are using the same models and modeling tools so what differs is how those models are applied to the data. Today, more than ever, it is really important that you know your data well