Packt Deep Learning With Java

September 10, 2019, 8:31 pm

≫ Next: Packt Deep Learning with Real World Projects

≪ Previous: Packt Create a Game Environment with Blender and Unity

$

0

0

Packt - Deep Learning With Java-JGTiSO
English | Size: 405.51 MB
Category: Tutorial
Learn
Extract features from unstructured data using ND4J
Use DL4J to perform fast and efficient deep learning training
Perform automatic speech recognition with DL
Use RNN with DL to achieve more precise results based on previous history
Process image data using multiple layers with DL4J
Use Word2Vect to perform feature extraction on text data
Predict using classification with a multilayered approach

About
Deep learning (DL) is used across a broad range of industries as the fundamental driver of AI. Being able to apply deep learning with Java will be a vital and valuable skill, not only within the tech world but also the wider global economy, which depends upon solving problems with higher accuracy and much more predictability than other AI techniques could provide.

This step-by-step, practical tutorial teaches you how to implement key concepts and adopts a hands-on approach to key algorithms to help you develop a greater understanding of deep learning. You will learn how to use the DL4J library and apply deep learning to a range of real-world use cases. This course will also help you solve challenging problems in image processing, speech recognition, and natural language modeling; it will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights.

By the end of this course, you'll be ready to tackle deep learning with Java. Whether you come from a data science background or are a Java developer, you will become part of the deep learning revolution!

The code bundle for this course is available at [url=https://github.com/PacktPublishing/Deep-Learning-with-Java]https://github.com/PacktPublishing/Deep-Learning-with-Java

Features

Learn key algorithms needed to enhance your understanding of deep learning
Use Java and deep neural networks to solve problems with the help of image processing, speech recognition, and natural language modeling
Use the DL4J library and apply deep learning concepts to real-world use cases
DOWNLOAD

Code:

http://nitroflare.com/view/0217CAF941AACD1/hu0kt.Packt..Deep.Learning.With.Java.rar

Code:

https://rapidgator.net/file/f5c08017cdd6d927999046f1759fb4da/hu0kt.Packt..Deep.Learning.With.Java.rar

---

Packt Deep Learning with Real World Projects

September 10, 2019, 8:32 pm

≫ Next: Packt Demystifying Identity and Access Management

≪ Previous: Packt Deep Learning With Java

$

0

0

Packt - Deep Learning with Real World Projects-XCODE
English | Size: 7.67 GB
Category: Tutorial
Learn
Learn to create Deep Neural networks and machine learning models for complex real-world problems
Get comfortable with Deep Learning libraries like TensorFlow and Keras
Learn inner workings of Convolutional Networks and Computer Vision
Work with AlexNet, GoogleNet, and ResNet
Recurrent Neural Networks
About
Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models.

One of the most common AI techniques used for processing big data is machine learning, a self-adaptive algorithm that gets increasingly better analysis and patterns with experience or with newly added data. As more and more sources of data-generation are coming into picture, the number of file formats is increasing as well. Now, designing one model to merge data from these many sources and extract meaningful insights is not possible with traditional hand-coded programs. While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a non-linear approach. While this may sound daunting, Deep Learning algorithms handle such tasks with ease. The scope of implementation in various sectors is just limitless.

Features

Learn to implement machine learning models in Tensor Flow and Keras
Complete introduction to advance level concepts in Recurrent Neural Networks (RNN)
A Practical course with multiple real-life projects in Deep learning
DOWNLOAD

Code:

http://nitroflare.com/view/293B3134033C20D/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part01.rar
http://nitroflare.com/view/FC34622A3840CFE/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part02.rar
http://nitroflare.com/view/EA90D8743E1240A/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part03.rar
http://nitroflare.com/view/19187E43007C206/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part04.rar
http://nitroflare.com/view/F43C1EE207F7537/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part05.rar
http://nitroflare.com/view/5DB925B2778B964/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part06.rar
http://nitroflare.com/view/F474B3B24C08554/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part07.rar
http://nitroflare.com/view/E5C96ABA4CC894C/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part08.rar
http://nitroflare.com/view/84C31FEEC707D80/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part09.rar
http://nitroflare.com/view/939CEDF45484520/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part10.rar
http://nitroflare.com/view/1318FEE6E2F6040/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part11.rar
http://nitroflare.com/view/C598B4E5F533338/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part12.rar

Code:

https://rapidgator.net/file/00562f67849d3870a4b0edbc7417c4ba/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part01.rar
https://rapidgator.net/file/6d7dc38c818aaf9cfd9bfc7582cf1449/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part02.rar
https://rapidgator.net/file/0282a7930058b8ee72d8ae31e1eaeb59/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part03.rar
https://rapidgator.net/file/2bff3e7919872d84fbba96ee1f102332/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part04.rar
https://rapidgator.net/file/86d16e2af727dd88e30e41f61c9b4c36/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part05.rar
https://rapidgator.net/file/6588cd55d943b57d585a69da19200d60/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part06.rar
https://rapidgator.net/file/d355cc3195241c2d1e39e7a5c4166c23/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part07.rar
https://rapidgator.net/file/f9afae976d59de6e018055b52aa89fc1/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part08.rar
https://rapidgator.net/file/c63c8435567e5483f5536f310a635db1/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part09.rar
https://rapidgator.net/file/0267f487e3298e417a65375cae07e6db/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part10.rar
https://rapidgator.net/file/bc14cd7513cddaef75d8cd48bd77563f/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part11.rar
https://rapidgator.net/file/652ef1ca82b9656fdb11d63ab624a133/8yj12.Packt..Deep.Learning.with.Real.World.Projects.part12.rar

Packt Demystifying Identity and Access Management

September 10, 2019, 8:33 pm

≫ Next: Packt Ethical Hacking for the Everyday Developer JGTiSO

≪ Previous: Packt Deep Learning with Real World Projects

$

0

0

Packt - Demystifying Identity and Access Management-JGTiSO
English | Size: 1.66 GB
Category: Tutorial
Learn
Understand how IAM works and get familiar with the AWS IAM platform
IAM users, permissions, and policies
Create a delegated user
Delegate access across AWS accounts
Use roles to delegate access to the billing console
Delegate access across AWS accounts using roles
Create a customer-managed policy
Enable users to configure their own credentials and MFA settings
Get to know AWS IAM best practices and use cases
Use IAM with Amazon EC2, S3, RDS, and DynamoDB AWS (GUI and CLI )
Protect your account and its resources by using IAM permission integrated with Lambda
Implement IAM with selected AWS
About
AWS Identity and Access Management (IAM) is a web service that enables AWS customers to manage access and permissions in AWS. With IAM, it will serve as a one-stop shop service of AWS to regulate access and permission.

In this course, you'll start by diving into the world of IAM, learning all of the important concepts and functionalities that AWS IAM provides. Then, you'll learn to create and efficiently handle IAM users, groups, and credentials. You'll find out how to troubleshoot common IAM issues and delegate access to the billing console and the AWS account using roles.

Finally, you'll discover how to integrate IAM with other Amazon Web Services. By the end, you'll have gained a solid knowledge of AWS IAM service for efficient identity and access management.
Style and Approach

This course will guide and give you the best pointers on AWS Identity and Access Management. Each section will teach you the key concepts in IAM with a proper explanation and examples.
Features

Create, manage, and implement a user admin, group, permissions, and policies (console an CLI)
Create, configure, and implement a Customer Managed Policy with MFA configuration
Troubleshoot IAM common issues and learn best practices
Integrate IAM with other Amazon Web Services




DOWNLOAD

Code:

http://nitroflare.com/view/BCF817C91D66AF4/odfa6.Packt..Demystifying.Identity.and.Access.Management.part1.rar
http://nitroflare.com/view/B22EDF15623F768/odfa6.Packt..Demystifying.Identity.and.Access.Management.part2.rar
http://nitroflare.com/view/1ADBB9EC612FD69/odfa6.Packt..Demystifying.Identity.and.Access.Management.part3.rar

Code:

https://rapidgator.net/file/b82bc9c69e1ae09244184552028bf537/odfa6.Packt..Demystifying.Identity.and.Access.Management.part1.rar
https://rapidgator.net/file/9585782f46173d944f3b0f2200accec0/odfa6.Packt..Demystifying.Identity.and.Access.Management.part2.rar
https://rapidgator.net/file/ae2f889e5f4b94ab2028a20728e62247/odfa6.Packt..Demystifying.Identity.and.Access.Management.part3.rar

Packt Ethical Hacking for the Everyday Developer JGTiSO

September 10, 2019, 8:34 pm

≫ Next: Packt Game Development with Unity and C Dash Save the Bunny

≪ Previous: Packt Demystifying Identity and Access Management

$

0

0

Packt - Ethical Hacking for the Everyday Developer-JGTiSO
English | Size: 396.97 MB
Category: Tutorial
Learn
Detect security flaws and vulnerabilities to ensure the security of your app/system
● Exploit these vulnerabilities in different security parameters and tackle them efficiently.
● Prevent SQL injection attacks and secure your application database systems
● Deal with Cross-site scripting and Cross-site request Forgery attacks which can affect your websites;
● Detect flaws in your authentication sessions and mitigate them to ensure better security
● Detect sensitive data exposure of your applications and protect it using the right techniques.
● Advise organizations about these vulnerabilities and help them with prevention measures.
About
Security is the foremost concern for all organizations both big and small. The movement toward the cloud and virtualization has led to an increased level of threats and thus a demand for Ethical Hackers. With this tutorial, you'll be able to extend your skills as a developer with Ethical Hacking techniques and enhance the security of your applications.

The course starts by explaining what application security is and the various threats it faces. We then highlight vulnerabilities that impact organizations the most and emphasize fairly common attacks.

You will deal with the basis of the problem: the application itself. In this hands-on tutorial, each section teaches you specific Ethical Hacking techniques with practical examples. You will learn how to detect SQL injection and cross-site scripting attacks and ways to mitigate them easily. We will also explore various ways to avoid cyber attacks and ensure data security.

By the end of the course, you will understand major web application attacks and how to mitigate them via secure practices.

Features

Quick insights into the most common attacks in the real world and how these attacks are performed.
Prevent hackers from gaining unauthorized access to your organization's valuable data
Work on a wide range of solution/mitigation techniques to ensure better system security
DOWNLOAD

Code:

http://nitroflare.com/view/14E9DA1B12EE6F5/ufwyu.Packt..Ethical.Hacking.for.the.Everyday.DeveloperJGTiSO.rar

Code:

https://rapidgator.net/file/0f012ff35ac6f4c9bcaaee9039382dd2/ufwyu.Packt..Ethical.Hacking.for.the.Everyday.DeveloperJGTiSO.rar

Packt Game Development with Unity and C Dash Save the Bunny

September 10, 2019, 8:35 pm

≫ Next: Packt Hands on Bayesian Methods With Python

≪ Previous: Packt Ethical Hacking for the Everyday Developer JGTiSO

$

0

0

Packt - Game Development with Unity and C Dash Save the Bunny-RiDWARE
English | Size: 2.25 GB
Category: Tutorial
Learn Unity Game Development & C# Scripting , Build Games with Unity . Use Unity 2018 & C# To Build 5 2D Games
What you'll learn
Build 5 Simple Fun Game With Unity
Finish Your First Game in One Hour
Create Animated Game Menu and UI
Create Awesome Visuals using Particle Effects
Learn 2D Features Of Unity
Learn C# From Scratch
Create fully Functional Games
Learn Useful Unity Tips & Tricks

Want to Learn How to build Games by actually building Small , Simple and Fun Games?

Then this is the perfect course for you.

After Finishing this course You will be able to build 5 Fully functional Games with Unity and C#.

List Of The Games You Will Build:

2D Target Shooting Game

Save The Bunny Game

Santa Run Endless runner Game

Monster Candy Eater Game

3D Endless Game

I have taught Unity Game Development & C# Scripting to thousands of people on my Youtube Channel: Charger Games. I love teaching complex concepts in a simple way, so even if you have no previous coding experience, no need to worry, I'm gonna teach you everything step by step in the perfect order.

Learn the basic concepts, tools, and functions that you will need to build fully functional Games with C# and the Unity game engine.

Build a strong foundation in Unity Game Development with this course.

Get Started with Unity's 2D Components

Build 5 Fully functional Games with Unity

Learn Basics of C# Programming

Create your first working game in 1 Hour

Learn to Build a finished game

Create your portfolio of Game Projects

A Powerful Skill at Your Fingertips Learning the fundamentals of Unity 2D & 3D Game Development puts a powerful and very useful tool at your fingertips. Unity is free, easy to learn, has excellent documentation, and is the game engine used for building games.

Jobs in unity game development are plentiful, and being able to learn C# Scripting along with Unity game development will give you a strong background to more easily build awesome games.

Content and Overview Suitable for beginning programmers, through this course of 100+ lectures and 20+ hours of content, you'll learn all of the Unity 2D Game Development fundamentals and establish a strong understanding of the concept behind Game Programming , Design and Development .

Starting with the installation of the Unity , Visual Studio , this course will take you through the process of learning game development with unity by building 5 awesome 2D & 3D Game Projects . You will build your first 2D game in 1 hour.

For the beginner programmers there's a separate section about C# Scripting, which will teach the fundaments of C# Scripting for game development in Unity.

With these basics mastered, the course will take you through building different example games with unity to learn more about the process of creating mobile android games with unity.

Students completing the course will have the knowledge to create fully functional Games with Unity and C# or use their C# skills to Build any other useful thing that they want.

Complete with working files, you'll be able to work alongside the author as you work through each concept, and will receive a verifiable certificate of completion upon finishing the course.
Screenshots
DOWNLOAD

Code:

http://nitroflare.com/view/8F7024AF6405EA3/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part1.rar
http://nitroflare.com/view/990C5885F0332F4/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part2.rar
http://nitroflare.com/view/3C74C47C33D562A/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part3.rar
http://nitroflare.com/view/2E34DF0F7335968/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part4.rar

Code:

https://rapidgator.net/file/60f3b48d2877aa8db86717ae5c1679dc/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part1.rar
https://rapidgator.net/file/ca434876c021b7f21ae3d93dc86d8923/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part2.rar
https://rapidgator.net/file/2b774092f22b486688671231c67f3124/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part3.rar
https://rapidgator.net/file/66bcc110b30a31ab77aff625c8d37cbf/mh60h.Packt..Game.Development.with.Unity.and.C.Dash.Save.the.Bunny.part4.rar

Packt Hands on Bayesian Methods With Python

September 10, 2019, 8:38 pm

≫ Next: Packt Hands on Developers Guide to MongoDB 4.0 JGTiSO

≪ Previous: Packt Game Development with Unity and C Dash Save the Bunny

$

0

0

Packt - Hands on Bayesian Methods With Python-JGTiSO
English | Size: 246.98 MB
Category: Tutorial
Learn
Solve interesting statistical and data analytics problems using Python and the Bayesian approach.
Use the PyMC3 library for data analysis and modeling.
Core concepts and approaches to using Bayesian Statistics.
Utilize the Bayesian Theorem to use evidence to update your beliefs about uncertain events.
Solve problems arising in many quantitative fields using Bayesian inference and hypothesis testing.
Improve the performance and interpretation of the results of predictive models by using Bayesian methods.

About
Bayesian methods have grown recently because of their success in solving hard data analytics problems. They are rapidly becoming a must-have in every data scientists toolkit. The course uses a hands-on method to teach you how to use Bayesian methods to solve data analytics problems in the real world. You will understand the principles of estimation, inference, and hypothesis testing using the Bayesian framework. You will also learn to use them to solve problems such as A/B testing, understanding consumer habits, risk evaluation, adjusting machine learning predictions, reliability analysis, detecting the influence of one variable over an outcome, and many others.

By taking this course, you will be able to apply and use Bayesian methods as part of your data analytics toolbox, thus helping you use Python to solve a majority of common statistical problems in data science.

The code bundle for this course is available at - [url=https://github.com/PacktPublishing/-Hands-On-Bayesian-Methods-with-Python]https://github.com/PacktPublishing/-Hands-On-Bayesian-Methods-with-Python
Style and Approach

The course follows a hands-on approach; explanations of core concepts are intuitive and always related to applications. Interesting real-world examples are presented and solved using computational methods, especially the PyMC3 library. Mathematics are used only when necessary.
Features

Understand the principles of Bayesian statistics and learn to frame problems, answer questions and interpret results via the Bayesian framework
Use the Python programming language and the powerful PyMC3 library to solve real-world problems by applying Bayesian methods
Improve your data analysis, problem-solving, and decision-making skills by mastering Bayesian methods
DOWNLOAD

Code:

http://nitroflare.com/view/7CDD55355D95DE1/lp0vx.Packt..Hands.on.Bayesian.Methods.With.Python.rar

Code:

https://rapidgator.net/file/1c6f5738dfc196bf9872abe56e32a48a/lp0vx.Packt..Hands.on.Bayesian.Methods.With.Python.rar

Packt Hands on Developers Guide to MongoDB 4.0 JGTiSO

September 10, 2019, 8:39 pm

≫ Next: Packt Hands on Packet Analysis JGTiSO

≪ Previous: Packt Hands on Bayesian Methods With Python

$

0

0

Packt - Hands on Developers Guide to MongoDB 4.0-JGTiSO
English | Size: 534.52 MB
Category: Tutorial
Learn
Understand the concepts and principles of MongoDB using a test-driven approach
Design an effective NoSQL schema with both data nesting and referencing
Work with the most popular MongoDB interface, Mongoose JS
Write tests around MongoDB queries using CRUD operations
Integrate MongoDB, Node, and Jest into your applications seamlessly
About
MongoDB is one of the best database management systems out there for large applications. It makes data easy to work with. Ad hoc queries, indexing, and a robust aggregation framework provides powerful ways to access and analyze your data.

This course will help you become proficient in using MongoDB for your applications and handling its data. We'll take a test-driven approach to the NodeJS environment with Jest to explore all the features that MongoDB has to offer. Throughout the course, we'll build a taxi aggregator database, simulate real-world challenges, and solve them with MongoDB.

By the end of the course, you'll be confident to work with MongoDB as a developer and integrate MongoDB into your projects.

The code bundle for this course is available at:- [url=https://github.com/PacktPublishing/-Hands-on-Developers-Guide-to-MongoDB-4.0]https://github.com/PacktPublishing/-Hands-on-Developers-Guide-to-MongoDB-4.0
Style and Approach

This course takes a learn-by-doing style. It's a practical guide demonstrating hands-on examples and live coding. In this course, we'll take a test-driven approach inside the Node.js environment to learn everything related to MongoDB.
Features

Designed to improve your skill sets as a back-end developer to deploy a highly scalable and test-oriented database
Become a full-stack developer by gaining confidence to integrate your back end with any web development frameworks that you plan to use
Implement the latest features of MongoDB 4 to solve real-world issues in your projects
DOWNLOAD

Code:

http://nitroflare.com/view/CAAC031167C4141/ppclm.Packt..Hands.on.Developers.Guide.to.MongoDB.4.0JGTiSO.rar

Code:

https://rapidgator.net/file/34ab9e68a4585d610b3b6b8da76c3283/ppclm.Packt..Hands.on.Developers.Guide.to.MongoDB.4.0JGTiSO.rar

Packt Hands on Packet Analysis JGTiSO

September 10, 2019, 8:40 pm

≫ Next: Packt Hands on Python Regular Expressions

≪ Previous: Packt Hands on Developers Guide to MongoDB 4.0 JGTiSO

$

0

0

Packt - Hands on Packet Analysis-JGTiSO
English | Size: 539.36 MB
Category: Tutorial
Learn
Work on a wide range of network traffic scenarios to detect congestions in your network
Use various packet-capturing tools to search and filter your data
Build customized capture and display filters
Capture and analyze encrypted traffic
Perform critical troubleshooting to analyze the performance of your network
About
As your network experiences increases in traffic, the service-associated risks also increase. Packet analysis aims to capture, read, and interpret "packets" within your environments. Not just that, it also helps to verify live communications and implement real-time monitoring within your network.

This course supplies a wide range of tools to analyze your network issues-from losing connectivity to low-speed problems-and shows you ways to upgrade your network performance. You will also investigate modern exploits and malware issues at the packet level. You will learn to apply graph traffic patterns to visualize data flowing across your network. You will work with a powerful tool, Wireshark, and use its features to find hidden bottlenecks in your network. Finally, you'll compile statistics to analyze the performance of your network packets.

By the end of this course, you will have enhanced your network analysis skills and will be able to perform critical analysis and interpretation of data that crosses your network.
Features

Explore various packet-capturing scenarios to identify roadblocks in your network
Gain a wide range of techniques to capture and analyze network traffic
Get to work with the finest range of tools and techniques for packet analysis
DOWNLOAD

Code:

http://nitroflare.com/view/9534577FD7CBEC2/kqwzu.Packt..Hands.on.Packet.AnalysisJGTiSO.rar

Code:

https://rapidgator.net/file/d040aad0f89ad2aeba1efb4de3b7d6a2/kqwzu.Packt..Hands.on.Packet.AnalysisJGTiSO.rar

---

Packt Hands on Python Regular Expressions

September 10, 2019, 8:41 pm

≫ Next: Packt Hands on Web Development With Hyperapp V2

≪ Previous: Packt Hands on Packet Analysis JGTiSO

$

0

0

Packt - Hands on Python Regular Expressions-JGTiSO
English | Size: 361.33 MB
Category: CBTs
Learn
Master the use of regexes in Python
Master hands-on regex concepts such as anchors, quantifiers, character classes, captures, and more
Use Python functions to replace text content via regular expression patterns.
Learn Python functions such as search, findall, split, sub, and match
Search, edit, and manipulate text with the power of regexes in Python
About
Do you fear regular expressions (regexes)? Do you need to ace the next interview where you will be asked about the advanced usage of regexes? Then you need this course! Regexes are a very powerful tool when you need to deal with textual data. Python offers all the advanced features of regexes such as look-arounds, quantifiers, and commenting your regexes to help your colleagues.

In this course, you will learn how to apply regexes in your daily programming tasks in Python. This technique is used daily in programming projects such as web development, machine learning, big data, and cloud computing. This course will walk you through regexes while cleaning your dataset in your next big data project; you'll handle data validation or capture chunks of useful information from text.

By the end of the course, you will have a better understanding of all Python functions and will be able to apply regex concepts to real-life programming situations.

All the code and supporting files for this course are available on GitHub at:

[url=https://github.com/PacktPublishing/Hands-On-Python-Regular-Expressions]https://github.com/PacktPublishing/Hands-On-Python-Regular-Expressions

Features

Take a whirlwind tour of Python and Flask
Become an expert in utilizing Python regexes in your daily programming projects
Understand that regexes are used wherever you need to handle text data-for example, in cleaning and preparing data in a typical big-data project
DOWNLOAD

Code:

http://nitroflare.com/view/CF5266026EACD2A/v3x5h.Packt..Hands.on.Python.Regular.Expressions.rar

Code:

https://rapidgator.net/file/e5068e29b8650b7c20542933a71ae467/v3x5h.Packt..Hands.on.Python.Regular.Expressions.rar

Packt Hands on Web Development With Hyperapp V2

September 10, 2019, 8:42 pm

≫ Next: Packt Hands On Wireless Sensor Networks with ESP32

≪ Previous: Packt Hands on Python Regular Expressions

$

0

0

Packt - Hands on Web Development With Hyperapp V2-JGTiSO
English | Size: 691.16 MB
Category: Tutorial
Learn
Modern HA2 web application development from scratch
Data-driven front-end development
Front-end testing
How to break down complex front-end problems into simple steps
The benefits of isolating side-effects in your code
About
The main problems for developers of modern front ends are the number of concepts, managing side-effects, and bringing in large dependencies. These problems can make it seem impossible to get your application from the drawing board into the hands of customers.

Reviewed by Jorge Bucaran, the creator of Hyperapp ( [url=https://twitter.com/jorgebucaran),]https://twitter.com/jorgebucaran), this course will help you get started with Hyperapp 2.0 (or Hyperapp V2) to create web applications. This is an engaging course where all concepts are explained with the help of practical examples. Beginning with an overview of the Hyperapp 2.0 (V2) micro-framework, with the help of practical examples, you'll understand its straightforward API and functionalities.

After building your app architecture, you'll start building your real-world javascript application with Hyperapp 2. You'll manage states with built-in state management in Hyperapp 2 and use virtual DOM, which is essential for developing modern web applications. We'll also cover the new features introduced in Hyperapp 2 and how they can help you improve web development You'll also learn to maintain your code easily in Hyperapp.

By the end of the course, you will be well-versed in using the simple but easy Hyperapp 2 (or Hyperapp V2) to develop web applications.

All codes and supporting files are placed on GitHub at this link:
[url=https://github.com/PacktPublishing/Hands-On-Web-Development-with-Hyperapp-V2]https://github.com/PacktPublishing/Hands-On-Web-Development-with-Hyperapp-V2
Style and Approach

I have always found that doing is the best learning, so open up your favorite editor and web browser and we'll build together. I will share with you the best approaches to solving web application problems with HA2 in terms that you can understand. We'll tackle practical and common problems with modern and intuitive solutions.
Features

Level up your skills and learn how to build a complete, testable, and reliable web application from scratch with HA2, without breaking a sweat!
Together, we'll create a page and interface with libraries, all while handling dynamic data, and user input
The technologies of the web are constantly evolving, so we'll build with the next version of Hyperapp!
DOWNLOAD

Code:

http://nitroflare.com/view/826AFDD6D870E28/kqzf0.Packt..Hands.on.Web.Development.With.Hyperapp.V2.part1.rar
http://nitroflare.com/view/EDD8F2318C173F6/kqzf0.Packt..Hands.on.Web.Development.With.Hyperapp.V2.part2.rar

Code:

https://rapidgator.net/file/92fe64028a3fdce967c250d201097f3f/kqzf0.Packt..Hands.on.Web.Development.With.Hyperapp.V2.part1.rar
https://rapidgator.net/file/08ec3efa40d7bf9b6354aa9dc82627f3/kqzf0.Packt..Hands.on.Web.Development.With.Hyperapp.V2.part2.rar

Packt Hands On Wireless Sensor Networks with ESP32

September 10, 2019, 8:43 pm

≫ Next: Packt Implementing Deep Learning Algorithms with TensorFlow 2.0 JGTiSO

≪ Previous: Packt Hands on Web Development With Hyperapp V2

$

0

0

Packt - Hands-On Wireless Sensor Networks with ESP32-JGTiSO
English | Size: 468.11 MB
Category: Tutorial
Learn
Architect sensor networks for various application setups
Understand how to model a sensor network using graph theory
Understand different types of dataflow, and routing protocols, in Wireless Sensor Networks
Explore the design space and conduct trade-off analyses between performance and resources
Design and implement multiple sensor nodes using ESP32, to construct a fully distributed wireless network
Design and Implement algorithms for distributed data aggregation in your own constructed wireless sensors network
Evaluate the performance of algorithms on different network topologies
About
The increase in the number of low-powered and portable smart devices has fostered the Internet of things. Maintaining, controlling, and monitoring network of such devices is quite challenging. It becomes difficult for individual sensor nodes to have knowledge of the whole network.

This course starts off with the fundamentals of Wireless Sensors Networks. You will see how to overcome challenges in gathering and propagating data to an entire network whose size and density is unknown; learn to use protocols and algorithms, allowing each sensor node to sense the aggregated physical environmental conditions of the entire network; and apply graph theory to a sensor's network to model a smarter environment. With hands-on sessions, you'll develop P2P using the open source ESP32 microchip.

By the end of the course, you will have gained a deep understanding of managing, controlling, and maintaining a fully distributed, wireless sensor network using the ESP32 system on a chip.

All the code and supporting files for this course are available at: [url=https://github.com/PacktPublishing/Hands-On-Wireless-Sensor-Networks-with-ESP32-V-]https://github.com/PacktPublishing/Hands-On-Wireless-Sensor-Networks-with-ESP32-V-
Style and Approach

This course follows a problem oriented approach to understand the why, what and how of Wireless Sensors Network technology. As always, we will start-off by getting ourselves familiarized with the technologies, its usages and potential in different fields. An in-depth knowledge about graph theory will be studied which is fundamental to design and architect a sensors network. Data collection algorithms will be studied in different topologies. We will then move forward in practical implementation of the sensors node and their P2P connectivity. The implemented nodes will then help us build a small sensors network on which we will apply distributed network challenges and solve them using algorithms like gossip and more.
Features

Build smart and interactive chatbots using NLP and TensorFlow for business or personal use
Train and build smart chatbots that simulate written speech in authentic conversations
Integrate chatbots into your business applications to provide 24/7 solutions without forcing customers to endure long wait periods, thus assuring customer satisfaction
DOWNLOAD

Code:

http://nitroflare.com/view/E31279108767EAA/egvzz.Packt..HandsOn.Wireless.Sensor.Networks.with.ESP32.rar

Code:

https://rapidgator.net/file/135043867857d1e4d3392a450379cde3/egvzz.Packt..HandsOn.Wireless.Sensor.Networks.with.ESP32.rar

Packt Implementing Deep Learning Algorithms with TensorFlow 2.0 JGTiSO

September 10, 2019, 8:44 pm

≫ Next: Packt JavaScript AJAX JSON API for Beginners

≪ Previous: Packt Hands On Wireless Sensor Networks with ESP32

$

0

0

Packt - Implementing Deep Learning Algorithms with TensorFlow 2.0-JGTiSO
English | Size: 793.08 MB
Category: Tutorial
Learn

Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
Study the various Deep Learning model architectures and work with them
Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics; and classifying flower species
Apply your newly-acquired skills to a wide array of practical and real-world scenarios

About

Deep Learning has caused the revival of Artificial Intelligence. It has become the dominant method for speech recognition (Google Assistant), computer vision (search for "my pictures" on Google Photos), language translation, and even game-related Artificial Intelligence (think AlphaGo and DeepMind). If you'd like to learn how these systems work and maybe make your own, Deep Learning is for you!

In this course, you'll gain a solid understanding of Deep Learning models and use Deep Learning techniques to solve business and other real-world problems to make predictions quickly and easily. You'll learn various Deep Learning approaches such as CNN, RNN, and LSTM and implement them with TensorFlow 2.0. You'll program a model to classify breast cancer, predict stock market prices, process text as part of Natural Language Processing (NLP), and more.

By the end of this course, you'll have a complete understanding to use the power of TensorFlow 2.0 to train Deep Learning models of varying complexities, without any hassle.

Note that Miniconda and TensorFlow 2.0 installations are required for taking this course.

All the code and supporting files for this course are available on GitHub at [url=https://github.com/PacktPublishing/Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0]https://github.com/PacktPublishing/Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0
Features

Gain knowledge of Deep Learning, one of the most powerful technologies to predict, classify, and translate data
Implement various Deep Learning models and study their examples coded in Python using TensorFlow 2.0
Acquire the knowledge and hands-on skills that can be applied to a range of problems in finance, healthcare, and other areas
DOWNLOAD

Code:

http://nitroflare.com/view/F6ED9B3D38EE864/w7thf.Packt..Implementing.Deep.Learning.Algorithms.with.TensorFlow.2.0JGTiSO.part1.rar
http://nitroflare.com/view/1CF34E443F96B72/w7thf.Packt..Implementing.Deep.Learning.Algorithms.with.TensorFlow.2.0JGTiSO.part2.rar

Code:

https://rapidgator.net/file/45451b14691f355e773543787c9213e1/w7thf.Packt..Implementing.Deep.Learning.Algorithms.with.TensorFlow.2.0JGTiSO.part1.rar
https://rapidgator.net/file/753d29e31478a17e74380885c884179c/w7thf.Packt..Implementing.Deep.Learning.Algorithms.with.TensorFlow.2.0JGTiSO.part2.rar

Packt JavaScript AJAX JSON API for Beginners

September 10, 2019, 8:45 pm

≫ Next: Packt Learn the Foundations of Blender by Darrin lile

≪ Previous: Packt Implementing Deep Learning Algorithms with TensorFlow 2.0 JGTiSO

$

0

0

Packt - javascript AJAX JSON API for Beginners-RiDWARE
English | Size:
Category:
Explore JSON and connecting to APIs using javascript by setting up your own JSON server practice AJAX and JSON locally
Step by step learning of how to use JSON data within your javascript code.

Comes with a downloadable PDF guide - with resources and source code to try as you progress within the course.

Explore what JSON data is and how it relates to javascript objects

How javascript objects can be used to produce content on web pages

Using Fetch and XHR to connect to server data

Output content to web pages using DOM manipulation

Loop threw data objects and arrays to get values

JSON parse and stringify

AJAX requests and connecting to web APIs

javascript map method to build new arrays

Setting up a JSON server locally to practice JSON and AJAX

Setup of Node and NPM for JSON server prep

Use of tools like postman to test API

Sending data to local json database and simulating data CRUD

Creating a mini project that can edit and update data in the json.db file locally

Source Code and resources are included to get you started quickly.

Course is designed to highlight using javascript - javascript IS A Prerequisite TO THIS COURSE *****Beginner javascript knowledge is required ***** as the course covers only javascript relevant to the using objects and applying objects to object oriented programming. Also HTML and CSS knowledge is essential as scope of this course is all javascript focused.

No libraries, no shortcuts just learning javascript making it DYNAMIC and INTERACTIVE web application.

Step by step learning with all steps included.

Along with friendly support in the Q&A to help you learn and answer any questions you may have.

Try it now you have nothing to lose, comes with a 30 day money back guarantee.

Start building your own version of the application today!!!!

Who this course is for:
Web developers
Anyone who wants to learn more about applying javascript
Web masters
javascript coders who want to learn more about using javascript
Anyone who wants to do interesting applications with javascript
Frontend code writers
DOWNLOAD

Code:

http://nitroflare.com/view/9B0AE4EE9BD60D2/qhcf7.Packt..JavaScript.AJAX.JSON.API.for.Beginners.rar

Code:

https://rapidgator.net/file/e4c1fd9d8c4845580217de737acaa9a9/qhcf7.Packt..JavaScript.AJAX.JSON.API.for.Beginners.rar

Packt Learn the Foundations of Blender by Darrin lile

September 10, 2019, 8:46 pm

≫ Next: Packt Learning Nativescript JGTiSO

≪ Previous: Packt JavaScript AJAX JSON API for Beginners

$

0

0

Packt - Learn the Foundations of Blender by Darrin lile
English | Size: 1.5GB
Category: Tutorial
Create 3D objects and scenes
Create realistic materials
UV map 3D objects and assign textures
Light and render a scene using the Cycle render engine
Requirements
No prior knowledge of 3D animation or Blender is required.
Description
Learn the fundamental concepts and techniques of Blender 3D,
the incredible free, open-source animation suite. Learn to create 3D models, materials, uv maps, and textures. Learn to light and render your scenes with Blender's Cycles render engine.

Build a strong foundation from the start, so you can build your 3D skills quickly and efficiently.

Blender 3D Modeling Tools
UV Mapping
Materials and Textures
Cycles Lights and Rendering

Learn the fundamental 3D skills you'll need to create your own animations and visual effects.

Learning to create and texture 3D models opens the door for you to create your own incredible animations, visual effects, and video games. Blender is free to download and use for any purpose and has proven itself to be a powerful tool for independent and commercial projects all over the world.

Blender provides an excellent low-cost way to learn the fundamentals of 3D modeling, texturing, and rendering. Since 1995, it has been growing in features and usage in the animation and visual effects industries.
Content and Overview

In this course you'll learn the fundamental concepts and skills that will allow you to create three-dimensional models in Blender. We'll begin with Blender's interface and navigation tools, and move steadily into the foundational modeling tools like Extrude and Loop Cut. We'll talk about building up complex objects from basic shapes, and you'll be introduced to some of Blender's Modifiers, like Mirror and Subdivision Surface

We will then talk about using Blender's Cycles render engine to create materials for our objects, light our scenes, and create stunning renders. We first look at Blender's camera and render settings. We will then go over the different kinds of lights that Blender has to offer. And we use the Node Editor to create and modify the materials for our scene. The interaction of materials and lighting is an important part of any scene, and this course provides the fundamental concepts and techniques for achieving great renders in Blender.

Finally, we will talk about what UV mapping is and why it is needed. We'll go over the tools that Blender has available for us to UV map our 3D objects. And we'll look at how to export your UV maps out of Blender so you can build textures in image-editing programs like GIMP. We'll then bring these textures into Blender and assign them to our objects using the Node Editor. In addition, we will work with Blender's Texture Painting tools, and examine how we can paint textures directly on our 3D models.

Reference images and textures are available to download with their corresponding videos.

"I love your tutorials! For the first time, I'm able to
understand Blender! Thank you so much!" -Jade W

"Great work, Darrin. You make a great teacher as well as a fantastic 3D artist. I really appreciate your work; can't wait to see what you do next! -theLegendofSamuel

"I just wanted to say how much I appreciate these high quality tutorials you put out!!! You are truly an inspirational person. -Zach B

Who this course is for:
DOWNLOAD

Code:

http://nitroflare.com/view/69425889003CECA/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part1.rar
http://nitroflare.com/view/EC0B335E8F13F3D/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part2.rar
http://nitroflare.com/view/9341CD3DD3D26FA/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part3.rar

Code:

https://rapidgator.net/file/7f3c1b1ad8c3aafb3315da85a720e2ae/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part1.rar
https://rapidgator.net/file/015edeb3ec7f43e4e7b67d70e0c072ae/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part2.rar
https://rapidgator.net/file/3bf1bc192ddd441e2986cb1aa227a579/cghbx.Packt..Learn.the.Foundations.of.Blender.by.Darrin.lile.part3.rar

Packt Learning Nativescript JGTiSO

September 10, 2019, 8:47 pm

≫ Next: Packt Level Up Your CSS Animation Skills

≪ Previous: Packt Learn the Foundations of Blender by Darrin lile

$

0

0

Packt - Learning Nativescript-JGTiSO
English | Size: 269.27 MB
Category: Tutorial
Learn
Download and install NativeScript and set up your development environment for Android development on Windows
Use NativeScript for mobile application development
Easily develop hybrid mobile applications for Android and iOS using NativeScript
Develop visually-appealing code and design skills
Build cross-platform, native iOS and Android apps without web views
Create a project using NativeScript and the new front-end framework Vue.js
About
NativeScript is an open source framework to develop applications on Android and iOS. Using NativeScript, you can build truly native mobile apps with Angular, Vue.js, TypeScript, or javascript. This course will help you get up and running with NativeScript framework to build real-world applications from scratch.

You'll learn how to build a simple iOS and an Android application using the javascript language and the NativeScript framework. After setting up the development environment, you'll begin by getting familiar with NativeScript. Then, you'll install NativeScript CLI and see the basics of the workings of CLI in practice by building, running, and debugging your iOS and Android application.

You'll learn all the basic concepts such as app architecture, components, UI, widgets, and, more practically while building your mobile iOS and Android app. By the end of the course, you'll be confident in using NativeScript for your app development requirements.
Features

An all-inclusive guide to making great-looking Android and iOS apps in no time using NativeScript
Learn NativeScript to build native mobile applications with Vue.js
A power-packed hands-on guide to help you become proficient with NativeScript
DOWNLOAD

Code:

http://nitroflare.com/view/23CA270E3D20BB9/vye6j.Packt..Learning.NativescriptJGTiSO.rar

Code:

https://rapidgator.net/file/25d2bcbb3aa36239b34c45c5a107ca88/vye6j.Packt..Learning.NativescriptJGTiSO.rar

---

Packt Level Up Your CSS Animation Skills

September 10, 2019, 8:49 pm

≫ Next: Packt Machine Learning 101 with Scikit learn and StatsModels XCODE

≪ Previous: Packt Learning Nativescript JGTiSO

$

0

0

Packt - Level Up Your CSS Animation Skills-RiDWARE
English | Size: 1.13 GB
Category: Tutorial
Join Mark Jacob for an exploration of packet-delivery topics like understanding port numbers, establishing a TCP session, and exploring basic IP routing. He'll help you understand the function of routing, and what a media access control (MAC) address really is. Plus, learn about modifying packet information with network address translation (NAT) and managing traffic using access control lists (ACLs).

DOWNLOAD

Code:

http://nitroflare.com/view/DD87F62DA5B2EEC/ey43i.Packt..Level.Up.Your.CSS.Animation.Skills.part1.rar
http://nitroflare.com/view/B9DAAFA70274245/ey43i.Packt..Level.Up.Your.CSS.Animation.Skills.part2.rar

Code:

https://rapidgator.net/file/003e63c6983b61cf4b05db1f8d9986a6/ey43i.Packt..Level.Up.Your.CSS.Animation.Skills.part1.rar
https://rapidgator.net/file/f5e521ceda1d0867f2c3891b9ac3ab29/ey43i.Packt..Level.Up.Your.CSS.Animation.Skills.part2.rar

Packt Machine Learning 101 with Scikit learn and StatsModels XCODE

September 10, 2019, 8:50 pm

≫ Next: Packt Machine Learning with Real World Projects

≪ Previous: Packt Level Up Your CSS Animation Skills

$

0

0

Packt - Machine Learning 101 with Scikit learn and StatsModels-XCODE
English | Size: 2.07 GB
Category: Tutorial
Learn
You will gain confidence when working with two of the leading ML packages: statsmodels and sklearn
You will learn how to perform a linear regression
You will become familiar with the ins and outs of logistic regression
You will excel at carrying out cluster analysis (both flat and hierarchical)
You will learn how to apply your skills to real-life business cases
You will be able to comprehend the underlying ideas behind ML models
About
This course will provide you with solid Machine Learning knowledge to help you reach your dream job destination.

Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques.

In this course, we'll explore the three most fundamental machine learning topics such as Linear regression, Logistic regression and Cluster analysis. Even neural networks geeks (like us) can't help but admit that it's these three simple methods that data science revolves around. So, in this course, we make otherwise complex subject matter easy to understand and apply in practice.

Of course, there's only one way to teach these skills in the context of data science-to accompany statistics theory with a practical application of these quantitative methods in Python. And that's precisely what we are after. Theory and practice go hand in hand here.

We've developed this course with not one but two machine learning libraries: StatsModels and sklearn. This is a course you'll be eager to complete.

All the codes and supporting files for this course are available at - [url=https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels]https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels
Features

Learn Machine Learning with StatsModels and Sklearn
Apply skills to real-life business cases
Learn Linear Regression, Logistic Regression, and Cluster Analysis
DOWNLOAD

Code:

http://nitroflare.com/view/B4242B3B3B287BB/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part1.rar
http://nitroflare.com/view/89CD841633E1316/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part2.rar
http://nitroflare.com/view/6078AF8EB523C29/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part3.rar
http://nitroflare.com/view/D6A5AA24CAB224E/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part4.rar

Code:

https://rapidgator.net/file/98dcc275e71a89bf88430c2694554e59/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part1.rar
https://rapidgator.net/file/8edf179ca947bda12bb98219744cee66/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part2.rar
https://rapidgator.net/file/8c229725d6264dd78fc00db0824c2b80/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part3.rar
https://rapidgator.net/file/29ebf391cf7da9291a83e64e03a7f814/cjssi.Packt..Machine.Learning.101.with.Scikit.learn.and.StatsModelsXCODE.part4.rar

Packt Machine Learning with Real World Projects

September 10, 2019, 8:51 pm

≫ Next: Packt Mastering AWS Security

≪ Previous: Packt Machine Learning 101 with Scikit learn and StatsModels XCODE

$

0

0

Packt - Machine Learning with Real World Projects-XCODE
English | Size: 7.73 GB
Category: Tutorial
Learn
Learn to create Deep Neural networks and machine learning models for complex real-world problems
Get comfortable with Deep Learning libraries like TensorFlow and Keras
Learn inner workings of Convolutional Networks and Computer Vision
Work with AlexNet, GoogleNet, and ResNet
Recurrent Neural Networks
About
Deep learning is an artificial intelligence function that mimics the inner workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks of interconnected nodes capable of un-supervised learning from data that is unstructured or unlabelled training data. It also enables representation of data in form of abstract features and classifies them into sub-classes which may be too complex for traditional machine learning models.

One of the most common AI techniques used for processing big data is machine learning, a self-adaptive algorithm that gets increasingly better analysis and patterns with experience or with newly added data. As more and more sources of data-generation are coming into picture, the number of file formats is increasing as well. Now, designing one model to merge data from these many sources and extract meaningful insights is not possible with traditional hand-coded programs. While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a non-linear approach. While this may sound daunting, Deep Learning algorithms handle such tasks with ease. The scope of implementation in various sectors is just limitless.

Features

Learn to implement machine learning models in Tensor Flow and Keras
Complete introduction to advance level concepts in Recurrent Neural Networks (RNN)
A Practical course with multiple real-life projects in Deep learning
DOWNLOAD

Code:

http://nitroflare.com/view/059DA9E9C577249/zezov.Packt..Machine.Learning.with.Real.World.Projects.part01.rar
http://nitroflare.com/view/18B20B129B45CC4/zezov.Packt..Machine.Learning.with.Real.World.Projects.part02.rar
http://nitroflare.com/view/BEFDDCF1BE48B67/zezov.Packt..Machine.Learning.with.Real.World.Projects.part03.rar
http://nitroflare.com/view/075816434E08979/zezov.Packt..Machine.Learning.with.Real.World.Projects.part04.rar
http://nitroflare.com/view/388AE98A5DDC969/zezov.Packt..Machine.Learning.with.Real.World.Projects.part05.rar
http://nitroflare.com/view/A8D2FEFF3788410/zezov.Packt..Machine.Learning.with.Real.World.Projects.part06.rar
http://nitroflare.com/view/4A75B10EBA9CFB3/zezov.Packt..Machine.Learning.with.Real.World.Projects.part07.rar
http://nitroflare.com/view/49953E81FAAFBAB/zezov.Packt..Machine.Learning.with.Real.World.Projects.part08.rar
http://nitroflare.com/view/DDEC8DD87160541/zezov.Packt..Machine.Learning.with.Real.World.Projects.part09.rar
http://nitroflare.com/view/63456FD5CB514AD/zezov.Packt..Machine.Learning.with.Real.World.Projects.part10.rar
http://nitroflare.com/view/A874B5814F4C90E/zezov.Packt..Machine.Learning.with.Real.World.Projects.part11.rar
http://nitroflare.com/view/C2D50F5B0B444E2/zezov.Packt..Machine.Learning.with.Real.World.Projects.part12.rar

Code:

https://rapidgator.net/file/ca00b9f45399b74be5b99e63b2c92336/zezov.Packt..Machine.Learning.with.Real.World.Projects.part01.rar
https://rapidgator.net/file/b11253a5e810e06e3e858ec98198b1a5/zezov.Packt..Machine.Learning.with.Real.World.Projects.part02.rar
https://rapidgator.net/file/109975dae9e1b19af5ed754f8fc0889b/zezov.Packt..Machine.Learning.with.Real.World.Projects.part03.rar
https://rapidgator.net/file/5a00fbe79aca1c6eda649adda043e5e8/zezov.Packt..Machine.Learning.with.Real.World.Projects.part04.rar
https://rapidgator.net/file/af03803c45f95428f75b84af076146c4/zezov.Packt..Machine.Learning.with.Real.World.Projects.part05.rar
https://rapidgator.net/file/810adc4138377ca0a04496687992943e/zezov.Packt..Machine.Learning.with.Real.World.Projects.part06.rar
https://rapidgator.net/file/4917d752b310b9dde9405bd6fd497ec3/zezov.Packt..Machine.Learning.with.Real.World.Projects.part07.rar
https://rapidgator.net/file/216cd454af08f4f10f81305642622e32/zezov.Packt..Machine.Learning.with.Real.World.Projects.part08.rar
https://rapidgator.net/file/8424233913fa8cc5f8073366248dcfb0/zezov.Packt..Machine.Learning.with.Real.World.Projects.part09.rar
https://rapidgator.net/file/b31414b85055b15172589295cda923bf/zezov.Packt..Machine.Learning.with.Real.World.Projects.part10.rar
https://rapidgator.net/file/0f2755ccdba3deecb41586606d9c0d54/zezov.Packt..Machine.Learning.with.Real.World.Projects.part11.rar
https://rapidgator.net/file/f47799a47d1f0ac39b5dd983b1d2ea55/zezov.Packt..Machine.Learning.with.Real.World.Projects.part12.rar

Packt Mastering AWS Security

September 10, 2019, 8:52 pm

≫ Next: Packt Mastering Windows Server 2019

≪ Previous: Packt Machine Learning with Real World Projects

$

0

0

Packt - Mastering AWS Security
English | Size: 1.14 GB
Category: Security
Learn
Secure customer data using encryption in transit and at rest
Ensure only authorized users can access resources with Identity and Access Management (IAM)
In-depth review of IAM rules and application to AWS Services
Protect your Virtual Private Cloud (VPC) with VPC security groups
Enforce data protection with AWS Key Management Service
Practical examples with S3, EC2, RDS, and DynamoDB
About
With the increasing global interest in leveraging cloud infrastructures, security has become important. AWS Security solutions are designed to keep your Amazon Web Services environments safe and compliant.

This course shows you how to enable continuous security, auditing, and compliance. You will automate security in AWS with the tools, services, and features it supplies. Moving on, you'll see how to control AWS for all resources. You will secure your network, servers, data, and applications on the AWS cloud using native AWS security services.

By the end of this course, you will be familiar with the complete AWS Security landscape and will be able to perform all aspects of end-to-end software and hardware security.
Style and Approach

Get hands-on experience with AWS security features and secure your AWS Services, customer data, and infrastructure. Discover features of AWS products and services that protect customer data at rest, in transit, and at the network level. This course covers the most current security features and best practices as recommended by AWS
Features

This course features hands-on tutorials that can be applied to your products and services today
This course will prepare you to become an expert in AWS security through a hands-on, building-block approach
We will begin with the most basic security feature, Identity and Access Management, and conclude with the most important, Key Management Services

Course Length 2 hours 41 minutes ISBN 9781789539202 Date Of Publication 30 May 2019
DOWNLOAD

Code:

http://nitroflare.com/view/41FC20BD3286B4C/nwrvl.Packt..Mastering.AWS.Security.part1.rar
http://nitroflare.com/view/3EAA2FC0A3BAC5A/nwrvl.Packt..Mastering.AWS.Security.part2.rar

Code:

https://rapidgator.net/file/04ffcf339e8b23d2ecf3ea2b5acffd88/nwrvl.Packt..Mastering.AWS.Security.part1.rar
https://rapidgator.net/file/8a36251202789bb3885cd9c8a426b835/nwrvl.Packt..Mastering.AWS.Security.part2.rar

Packt Mastering Windows Server 2019

September 10, 2019, 8:53 pm

≫ Next: Packt Perfect 3 Days Linux Course JGTiSO

≪ Previous: Packt Mastering AWS Security

$

0

0

Packt - Mastering Windows Server 2019-RiDWARE
English | Size: 411.35 MB
Category: Tutorial
Take back control of your storage using features such as Storage Spaces Direct, data deduplication, and more
Create a failover cluster from scratch using cluster sets while also creating a storage replica
Create and manage your first Docker container on Windows Server 2019
Set up various software-defined networking components such as load balancers, Hyper-V network virtualization, and network controllers
Deploy and manage Remote Desktop Services 2019 in Azure and on-premise
About
Windows Server 2019 provides you with a wide range of powerful, new, and enhanced features such as Hyper-V, Nano-server, server virtualization, storage, software-defined networking, server management and automation, access and information protection, virtual desktop infrastructure, and failover clustering; the list goes on.

In this course, as you cover all aspects of administration-level tasks and activities and how to manage Windows Server 2019, you'll master tips for adapting to the new server management ideology, which is all about centralized monitoring and configuration. We'll also show you how migrating your existing setup (Windows Server 2016 or 2012 R2) to the latest update can be so simple.

You'll learn about networking and Software-Defined Networking; use PowerShell as a central platform for performing many functions; use the new built-in integration with Docker with this latest release of Windows Server 2019 which centers around security; master HCI; and get a lot of powerful information about the remote access technologies available in this OS, as well as guidelines for virtualizing your datacenter with Hyper-V.

By the end of this course, you will have all the collateral required to start planning for a full-scale implementation of Windows Server 2019.

All the code and supporting files for this course are available at [url=https://github.com/PacktPublishing/Mastering-Windows-Server-2019]https://github.com/PacktPublishing/Mastering-Windows-Server-2019

Features
Real-world knowledge from fellow IT professionals with proven expertise who have been there and done that
Go from learning Windows Server 2019 to mastering it with all of the advanced features and tools that this OS has to offer
Failover clustering, storage, software-defined networking, containers, security, high performance and availability, and more - explained in an engaging and informative manner

Course Length 2 hours 51 minutes
ISBN 9781789958263
Date Of Publication 12 Jul 2019
DOWNLOAD

Code:

http://nitroflare.com/view/CE4EDC0B40620AB/tjcd2.Packt..Mastering.Windows.Server.2019.rar

Code:

https://rapidgator.net/file/8e7d182a5c5039528d8ec490f27dc26e/tjcd2.Packt..Mastering.Windows.Server.2019.rar