O9;Reilly - Modern Python LiveLessons Big Ideas and Little Code in Python

O9;Reilly - Modern Python LiveLessons Big Ideas and Little Code in Python
O'Reilly - Modern Python LiveLessons: Big Ideas and Little Code in Python
English | Size: 28.81 GB
Category: CBTs



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O'Reilly Software Architecture Conference New York 2018

O'Reilly Software Architecture Conference New York 2018
O'Reilly Software Architecture Conference New York 2018
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 4.57 GB
Genre: eLearning | Language: English

We'll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference.
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O'Reilly - Security Testing and Ethical Hacking with Kali Linux

O'Reilly - Security Testing and Ethical Hacking with Kali Linux
O'Reilly - Security Testing and Ethical Hacking with Kali Linux
English | Size: 3.03 GB
Category: Linux | Security

Analysts and engineers performing security testing or penetration testing are typically expected to deliver a report at the end of their work. In this video, created for entry-to-intermediate-level security engineers, you'll learn to use the Kali Linux toolsets that help you handle three major tasks associated with producing such reports. First, you'll learn about the Kali tools that let you manipulate and manage the sometimes overwhelming volume of data that security and penetration test generate. Second, you'll learn about the Kali tools that help you capture and organize your test notes before integrating them into your reports. Third, you'll learn about the Kali tools that let you collaborate with your security colleagues to collect, manage, and prepare comprehensive reports. Participants should have access to Kali Linux before starting this course.
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O'Reilly - Investigation of Hidden Data in Digital Files


O'Reilly - Investigation of Hidden Data in Digital Files

O'Reilly - Investigation of Hidden Data in Digital Files
English | Size: 252.95 MB
Category: Security
Digital files store a lot of information beyond the data that makes up the primary file content. Called metadata, this information can be of great interest and use to law enforcement personnel as well as IT professionals tasked with conducting digital forensic investigations. To effectively carry out this work, you need to understand the techniques that are used to search for evidence of crime or intrusions on computer systems.

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O'reilly Building A Css Style Guide From Scratch

O'reilly   Building A Css Style Guide From Scratch
O'Reilly - Building a CSS Style Guide from Scratch
1h 53m | Video: AVC (.MP4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch | 1.95GB
Genre: eLearning | Language: English


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O'Reilly - An Introduction to Machine Learning Models in Production

O'Reilly - An Introduction to Machine Learning Models in Production

O'Reilly - An Introduction to Machine Learning Models in Production
English | Size: 1.38 GB
Category: CBTs
This course lays out the common architecture, infrastructure, and theoretical considerations for managing an enterprise machine learning (ML) model pipeline. Because automation is the key to effective operations, you'll learn about open source tools like Spark, Hive, ModelDB, and Docker and how they're used to bridge the gap between individual models and a reproducible pipeline.

You'll also learn how effective data teams operate; why they use a common process for building, training, deploying, and maintaining ML models; and how they're able to seamlessly push models into production.
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O'Reilly - Deploying Machine Learning Models as Microservices Using Docker

O'Reilly - Deploying Machine Learning Models as Microservices Using Docker

O'Reilly - Deploying Machine Learning Models as Microservices Using Docker
English | Size: 825.91 MB
Category: CBTs
Modern applications running in the cloud often rely on REST-based microservices architectures by using Docker containers. Docker enables your applications to communicate between one another and to compose and scale various components. Data scientists use these techniques to efficiently scale their machine learning models to production applications.
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O'Reilly - Learning Path: Python for Data

O'Reilly - Learning Path: Python for Data

O'Reilly - Learning Path: Python for Data
English | Size: 8.03 GB
Category: Misc E-Learning

This is a collection of courses or a "Learning Path" from O'Reilly's "Safari Books Online". Please note this is NOT the same as the Python for Data Analytics path.

This takes you from a introductory level to having a fairly in-depth knowledge of Python. A lot of the stuff in the second two videos goes over Algorithms, Time Complexities ( i.e. O(N) stuff ) and does it more clearly than anything else I've found. It's a real gem if you are looking to get on at Google / Amazon etc.. or just want to improve your understanding of the more complex end of Python.

It contains
Introduction to Python
Learning iPython Notebook
Working with Algorithms in Python
Python Data Structures
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O'Reilly - Operating System Forensic Analysis

O'Reilly - Operating System Forensic Analysis

O'Reilly - Operating System Forensic Analysis
English | Size: 783.36 MB
Category: Tutorial

Files, email messages, and social media posts all contain valuable information for digital forensic investigators when searching for evidence of a crime or intrusions into a computer system or network, but there's also a wealth of information to be gleaned from a computer's operating system. This includes user data, configuration settings, and a significant trail of user activities. Today, there are a number of tools available to extract and analyze this information.
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O'Reilly - Mining the Social Web - Web Pages

O'Reilly - Mining the Social Web - Web Pages

O'Reilly - Mining the Social Web - Web Pages
English | Size: 327.88 MB
Category: CBTs

How do software programs that automatically extract information from web pages actually work? This video course, based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to create machines that can navigate the internet, cut through the noise, and extract the most important textual content from any web page or group of web pages. You'll learn how to use Python to write programs that can crawl, scrape, and parse the web; as well as discover how to extract key terms and sentences from web mined documents, explore document summarization techniques used in natural language processing and artificial intelligence, and gain experience using Python's Natural Language Toolkit (NLTK) to auto-summarize web articles. Learners should have a basic understanding of Python.
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