Pentester Academy Windows For

Pentester Academy - Windows Forensics  eBooks & eLearning

Posted by FenixN at June 22, 2016
Pentester Academy - Windows Forensics

Pentester Academy - Windows Forensics
HDRips | MP4/AVC, ~228 kb/s | 1280x720 | Duration: 07:38:46 | English: AAC, 153 kb/s (2 ch)
Work Files + PDF Guides
Size: 1.26 Gb | Genre: Development / Programming / Security

This course will familiarize students with all aspects of Windows forensics.By the end of this course students will be able to perform live analysis, capture volatile data, make images of media, analyze filesystems, analyze network traffic, analyze files, perform memory analysis, and analyze malware for a Windows subject on a Linux system with readily available free and open source tools. Students will also gain an in-depth understanding of how Windows works under the covers.

Pentester Academy Python for Pentesters (2015)  eBooks & eLearning

Posted by house23 at Jan. 16, 2016
Pentester Academy Python for Pentesters (2015)

Pentester Academy Python for Pentesters (2015)
M4V | AVC 278kbps | English | 720x540 | 23fps | AAC stereo 225kbps | 4.09 GB
Genre: Video Training

This course will teach you Python scripting and its application to problems in computer and network security. This course is ideal for penetration testers, security enthusiasts and network administrators who want to learn to automate tasks or go beyond just using ready made tools. We will be covering topics in system security, network security, attacking web applications and services, exploitation techniques, malware and binary analysis and task automation.

Pentester Academy - Javascript for Pentesters  eBooks & eLearning

Posted by IrGens at July 25, 2015
Pentester Academy - Javascript for Pentesters

Pentester Academy - Javascript for Pentesters
.MP4, AVC, 1193 kbps, 1280x1024 | English, AAC, 256 kbps, 2 Ch | 2 hours | 1.46 GB
Instructor: Vivek Ramachandran

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

Learning Path: Node for Frontend Developers  eBooks & eLearning

Posted by FenixN at Jan. 20, 2017
Learning Path: Node for Frontend Developers

Learning Path: Node for Frontend Developers
HDRips | MP4/AVC, ~954 kb/s | 1280x720 | Duration: 12:31:41 | English: AAC, 128 kb/s (2 ch) | 4.47 GB
Genre: Development / Programming

Since its release in 2009, Node.js has experienced a meteoric rise in popularity among web developers. A server-side runtime for building web apps in JavaScript that leverages Google’s V8 engine, Node now helps power applications for companies like Uber, Walmart, PayPal, IBM, and many more. However, for frontend developers the thought of working with “backend” technologies can seem overwhelming. This learning path aims to soften the learning curve of Node for frontend developers and arm them with hands-on learning that will leverage their JavaScript programming background.

Learning Path: Haskell for Data Analysis  eBooks & eLearning

Posted by FenixN at Jan. 18, 2017
Learning Path: Haskell for Data Analysis

Learning Path: Haskell for Data Analysis
HDRips | MP4/AVC, ~468 kb/s | 1280x720 | Duration: 11:33:12 | English: AAC, 128 kb/s (2 ch) | 2.14 GB
Genre: Development / Programming

Learn to perform efficient data analysis using Haskell

Julia for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 10, 2017
Julia for Data Science

Julia for Data Science
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB
Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia

Building Pipelines for Natural Language Understanding with Spark  eBooks & eLearning

Posted by FenixN at Jan. 8, 2017
Building Pipelines for Natural Language Understanding with Spark

Building Pipelines for Natural Language Understanding with Spark
HDRips | MP4/AVC, ~28010 kb/s | 1920x1080 | Duration: 01:32:57 | English: AAC, 128 kb/s (2 ch) | 1.74 GB
Genre: Development / Programming

The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2.

Learning Path: Windows System Administration  eBooks & eLearning

Posted by FenixN at Jan. 8, 2017
Learning Path: Windows System Administration

Learning Path: Windows System Administration
HDRips | MP4/AVC, ~347 kb/s | 1280x720 | Duration: 20:20:35 | English: AAC, 128 kb/s (2 ch) | 3,47 GB
Genre: Development / Programming

With this Learning Path, you'll master three of the most important technologies for a Windows system or network administrator to possess: Microsoft Exchange Server, Windows PowerShell, and SharePoint Server. Get field-tested tips, real-world examples, and candid advice culled from a wide range of business and technical scenarios as you learn how to install, configure, integrate, and support each of these crucial technologies.

Learning Path: Scaling Python for Big Data  eBooks & eLearning

Posted by FenixN at Dec. 24, 2016
Learning Path: Scaling Python for Big Data

Learning Path: Scaling Python for Big Data
HDRips | MP4/AVC, ~73 kb/s | 1280x720 | Duration: 07:03:02 | English: AAC, 128 kb/s (2 ch) | 1,52 GB
Genre: Development / Programming

If you have some Python experience, and you want to take it to the next level, this practical, hands-on Learning Path will be a helpful resource. Video tutorials in this Learning Path will show you how to use Python for distributed task processing, perform large-scale data processing in Spark using the PySpark API, and tackle machine learning tasks with Python.