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Learning Ansible 2: Second Edition eBook

Handle Complex, Repetitive Tasks with Ease with Ansible 2

By Packt Publishing | in Online Courses

Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. In this book, you'll learn about the fundamentals and practical aspects of Ansible 2, getting accustomed to new features and learning how to integrate with cloud platforms like Amazon Web Services. By the end, you'll be able to leverage Ansible parameters to expedite tasks for your organization. Or yourself.

  • Access 240 pages of content 24/7
  • Set up Ansible 2 & an Ansible 2 project in a future-proof way
  • Perform basic operations w/ Ansible 2 such as creating, copying, moving, changing, & deleting files
  • Deploy complete cloud environments using Ansible 2 on AWS & DigitalOcean
  • Explore complex operations w/ Ansible 2
  • Develop & test Ansible playbooks
  • Write a custom module & test it
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Learning Ansible 2
    • Learning Ansible 2

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Practical DevOps eBook

Harness the Power of DevOps to Boost Your Skill Set & Make An IT Organization Perform Better

By Packt Publishing | in Online Courses

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments, stressing cooperation between different roles and how they can work together more closely. Through this book, you'll learn how DevOps affects architecture, starting by creating a sample enterprise Java application that you will continue to work with throughout the following chapters.

  • Access 240 pages of content 24/7
  • Understand how all DevOps systems fit together to form a larger whole
  • Set up & familiarize yourself w/ all the tools you need to be efficient w/ DevOps
  • Design an application that is suitable for continuous deployment systems
  • Store & manage your code effectively using different options such as Git, Gerrit, & Gitlab
  • Configure a job to build a sample CRUD application
  • Test the code using automated regression testing w/ Jenkins Selenium
  • Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, & Vagrant
  • Monitor the health of your code w/ Nagios, Munin, & Graphite
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Practical DevOps
    • Practical DevOps

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DevOps Automation Cookbook eBook

Explore Over 120 Recipes Covering Key Automation Techniques

By Packt Publishing | in Online Courses

There has been a recent explosion in tools that allow you to redefine the delivery of infrastructure and applications, using a combination of automation and testing to deliver continuous deployment. This book shows you how to use some of the newest and most exciting tools to revolutionize the way you deliver applications and software. By tackling real-world issues, you'll be guided through a huge variety of tools.

  • Access 334 pages of content 24/7
  • Manage, use, & work w/ code in the Git version management system
  • Create hosts automatically using a simple combination of TFTP, DHCP, & pre-seeds
  • Implement virtual hosts using the ubiquitous VMware ESXi hypervisor
  • Control configuration using Ansible
  • Develop powerful, consistent, & portable containers using Docker
  • Track trends, discover data, & monitor key systems using InfluxDB, syslog, & Sensu
  • Deal efficiently w/ powerful cloud infrastructures using AWS Infrastructure & the Heroku Platform as services
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • DevOps Automation Cookbook
    • DevOps Automation Cookbook

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Python Machine Learning eBook

Build Powerful Python Machine Learning Algorithms to Generate Useful Data Insights

By Packt Publishing | in Online Courses

Machine learning is transforming the way businesses operate, and being able to understand trends and patterns in complex data is becoming critical for success. Python can help you deliver key insights into your data by running unique algorithms and statistical models. Covering a wide range of powerful Python libraries, this book will get you up to speed with machine learning.

  • Access 454 pages of content 24/7
  • Find out how different machine learning techniques can be used to answer different data analysis questions
  • Learn how to build neural networks using Python libraries & tools such as Keras & Theano
  • Write clean & elegant Python code to optimize the strength of machine learning algorithms
  • Discover how to embed your machine learning model in a web application
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns & structures in data w/ clustering
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Python Machine Learning
    • Python Machine Learning

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Mastering Python for Data Science eBook

Explore the World of Data Science Through Python

By Packt Publishing | in Online Courses

The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for data scientists. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide will help you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.

  • Access 294 pages of content 24/7
  • Manage data & perform linear algebra in Python
  • Derive inferences from the analysis by performing inferential statistics
  • Solve data science problems in Python
  • Create high-end visualizations using Python
  • Evaluate & apply the linear regression technique to estimate the relationships among variables
  • Build recommendation engines w/ the various collaborative filtering algorithms
  • Apply ensemble methods to improve your predictions
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Mastering Python for Data Science
    • Mastering Python for Data Science

View Full Curriculum


Practical Data Analysis eBook

A Practical Guide to Obtaining, Transforming, Exploring, & Analyzing Data

By Packt Publishing | in Online Courses

Data analysis is more important in business than ever and data scientists are getting paid the big bucks to help companies make better informed decisions. This book explains basic data algorithms using hands-on machine learning techniques. You'll perform data-driven innovation processing for several types of data such as text, images, social network graphs, documents, and more.

  • Access 338 pages of content 24/7
  • Acquire, format, & visualize your data
  • Build an image-similarity search engine
  • Generate meaningful visualizations that anyone can understand
  • Get started w/ analyzing social network graphs
  • Find out how to implement sentiment text analysis
  • Install data analysis tools such as Pandas, MongoDB, & Apache Spark
  • Implement machine learning algorithms such as classification or forecasting
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Practical Data Analysis - Second Edition
    • Practical Data Analysis - Second Edition

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Access
Lifetime
Content
2 hours
Lessons
21

Data Mining with Python

Learn Data Mining by Actually Doing It

By Packt Publishing | in Online Courses

Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course's end, you'll have a valuable skill that companies are clamoring to hire for.

  • Access 21 lectures & 2 hours of content 24/7
  • Discover data mining techniques & the Python libraries used for data mining
  • Tackle notorious data mining problems to get a concrete understanding of these techniques
  • Understand the process of cleaning data & the steps involved in filtering out noise
  • Build an intelligent application that makes predictions from data
  • Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
  • Predict house prices & the number of TV show viewers
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Introduction to Data Mining
    • The Course Overview (3:55)
    • A Brief Introduction to Data Mining (4:37)
    • Data Mining Basic Concepts and Applications (7:05)
  • Setting Up the Data Mining Python Packages Environment
    • Why Python? (3:31)
    • Basics of Python (5:55)
    • Installing IPython (2:09)
    • Installing the Numpy Library (4:32)
    • Installing the pandas Library (5:32)
    • Installing Matplotlib (2:42)
    • Installing scikit-learn (2:37)
  • Cleaning Data and Preprocessing Techniques
    • Data Cleaning (5:31)
    • Data Preprocessing Techniques (5:08)
  • Linear Regression Model
    • Linear Regression Basic Model Approach (8:23)
    • Evaluating Regression Models (5:31)
    • Basic Regression Model Implementation to Predict House Prices (9:20)
    • Regression Model Implementation to Predict Television Show Viewers (9:46)
  • Classification Concepts
    • Logistic Regression (4:01)
    • K – Nearest Neighbors Classifier (5:51)
    • Support Vector Machine (5:41)
    • Logistic Regression Model Implementation (10:45)
    • K – Nearest Neighbor Classifier Implementation (10:43)

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Access
Lifetime
Content
3 hours
Lessons
26

Python Machine Learning Projects

Discover the Reach of Machine Learning Through Six Projects in Python

By Packt Publishing | in Online Courses

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects.

  • Access 26 lectures & 3 hours of content 24/7
  • Work on six independent projects to help you master machine learning in Python
  • Cover concepts such as classification, regression, clustering, & more
  • Apply various machine learning algorithms
  • Master Python's packages & libraries to facilitate computation
  • Implement your own machine learning models
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Build an App to Find Cheap Airfares
    • The Course Overview (2:38)
    • Sourcing Airfare Pricing Data (3:45)
    • Retrieving the Fare Data with Advanced Web Scraping Techniques (5:06)
    • Parsing the DOM to Extract Pricing Data (16:17)
    • Sending Real-Time Alerts Using IFTTT (3:42)
    • Putting It All Together (3:17)
  • Forecast the IPO Market Using Logistic Regression
    • The IPO Market (12:59)
    • Feature Engineering (8:18)
    • Binary Classification (6:08)
    • Feature Importance (4:54)
  • Create a Custom Newsfeed
    • Creating a Supervised Training Set with the Pocket App (9:10)
    • Using the embed.ly API to Download Story Bodies (3:09)
    • Natural Language Processing Basics (7:23)
    • Support Vector Machines (3:40)
    • IFTTT Integration with Feeds, Google Sheets, and E-mail (8:10)
    • Setting Up Your Daily Personal Newsletter (4:23)
  • Forecasting the Stock Market with Machine Learning
    • What Does Research Tell Us about the Stock Market? (5:37)
    • Developing a Trading Strategy (12:01)
    • Building a Model and Evaluating Its Performance (6:58)
    • Modeling with Dynamic Time Warping (5:34)
  • Build an Image Similarity Engine
    • Machine Learning on Images (4:49)
    • Working with Images (4:16)
    • Finding Similar Images (7:37)
    • Building an Image Similarity Engine (9:54)
  • Building a Chatbot
    • The Design of Chatbots (6:38)
    • Building a Chatbot (10:02)

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We want you to be happy with every course you purchase! If you're unsatisfied for any reason, we will issue a store credit refund within 15 days of purchase.