python

PluralSight – Leveraging Online Resources For Python Analytics

PluralSight – Leveraging Online Resources For Python Analytics-REBAR
English | Size: 285.74 MB
Category: Tutorial


Join Pluralsight author Janani Ravi as she walks you through a preview of her “Leveraging Online Resources for Python Analytics” course found only on Pluralsight.com. Build your technology skills with Janani’s help by learning to survey some of the important visualization libraries, machine learning and deep learning frameworks, and cloud-based solutions out there. Visit Pluralsight.com to start learning Python analytics skills today!

A Cloud Guru – Automating AWS with Python

A Cloud Guru – Automating AWS with Python
English | Size: 1.93 GB
Category: AWS


In this course, you’ll learn techniques and strategies for automating AWS with Python:
-Command line scripts
– Lambda functions
– Authentication and permissions
– Creating and managing cloud resources
– Reporting and metrics
– Integrating with third party services
– Image processing

Linux Academy – Course Automating AWS with Lambda Python and Boto3

Linux Academy – Course Automating AWS with Lambda Python and Boto3-APoLLo
English | Size: 2.78 GB
Category: Tutorial


This course will explore AWS automation using Lambda and Python. We’ll be using the AWS SDK for Python, better known as Boto3. You will learn how to integrate Lambda with many popular AWS services, such as EC2, S3, SQS, DynamoDB, and more. Once we cover the basics, we’ll dive into some more advanced use cases to really uncover the power of Lambda. To chat with the instructor and other students, check out the Linux Academy community Slack and join the #aws channel.

INE – Deep Learning with Python

INE – Deep Learning with Python
English | Size: 1.37 GB
Category: Programming


Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.

A Cloud Guru – Automating AWS with Python-SKiLLUP

A Cloud Guru – Automating AWS with Python-SKiLLUP
English | Size: 1.93 GB
Category: CBTs


Hello Cloud Gurus,
In this course, you’ll learn techniques and strategies for automating AWS with Python: