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Give reaction to this post to see the hidden content. Create WordPress Websites and Blogs: Especially for Beginners, Freelancers, and Graphic Designers Who Don’t Want to Code
What you’ll learn
You will learn how to “spin up” new WordPress sites in under one minute
You will learn exactly how I build websites for my clients.
You will learn how to create websites, portfolios, and blogs with WordPress
You will learn how to download, install and configure WordPress plugins
You will learn to use Photoshop and more to create beautiful website graphics
You will create a responsive website that looks good on any browser
Requirements
You should have a basic understanding of computers and software
A modern browser like Chrome, Safari, or Firefox
Internet access
You do not need any coding experience or programming knowledge
You can follow along with free themes, but I also show you how to use several premium themes – the typical cost is $60 per theme, if you choose to go that route
We will work locally (no cost), but if you want to launch your site you will need to purchase a domain name and hosting
Description
A Beginner’s Guide to WordPress!
The main goal of this course is to teach anyone, even a complete beginner, how to setup a complete WordPress website quickly and easily.
While other courses teach you all of the in-depth, complicated things about building websites in WordPress, this course focuses on only those things needed to get your website up and running as efficiently as possible.
You do not need to wade through hours and hours of lectures to create a stunning website. WordPress is wonderful because once you have your site up, you can refine it over time as you are able. If you’re like most designers or freelancers or entrepreneurs, chances are good you don’t want to spend weeks perfecting your website – you want something up ASAP! To help you reach that goal as quickly as possible, I move quickly through the content to help get you up and running fast – so come ready to rapidly dive into the meat of this course!
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Give reaction to this post to see the hidden content. Build smart looking Kotlin apps with UI and functionality for the Android platform
Key Features
Start your Android programming career, or just have fun publishing apps on Google Play marketplace
The first-principle introduction to Kotlin through Android, to start building easy-to-use apps
Learn by example and build four real-world apps and dozens of mini-apps
Book Description
Android is the most popular mobile operating system in the world and Kotlin has been declared by Google as a first-class programming language to build Android apps. With the imminent arrival of the most anticipated Android update, Android 10 (Q), this book gets you started building apps compatible with the latest version of Android.
It adopts a project-style approach, where we focus on teaching the fundamentals of Android app development and the essentials of Kotlin by building three real-world apps and more than a dozen mini-apps. The book begins by giving you a strong grasp of how Kotlin and Android work together before gradually moving onto exploring the various Android APIs for building stunning apps for Android with ease. You will learn to make your apps more presentable using different layouts. You will dive deep into Kotlin programming concepts such as variables, functions, data structures, Object-Oriented code, and how to connect your Kotlin code to the UI. You will learn to add multilingual text so that your app is accessible to millions of more potential users. You will learn how animation, graphics, and sound effects work and are implemented in your Android app.
By the end of the book, you will have sound knowledge about significant Kotlin programming concepts and start building your own fully featured Android apps.
What you will learn
Learn how Kotlin and Android work together
Build a graphical drawing app using Object-Oriented Programming (OOP) principles
Build beautiful, practical layouts using ScrollView, RecyclerView, NavigationView, ViewPager and CardView
Write Kotlin code to manage an apps' data using different strategies including JSON and the built-in Android SQLite database
Add user interaction, data captures, sound, and animation to your apps
Implement dialog boxes to capture input from the user
Build a simple database app that sorts and stores the user's data
Who this book is for
This book is for people who are new to Kotlin, Android and want to develop Android apps.It also acts as a refresher for those who have some experience in programming with Android and Kotlin.
Table of Contents
Getting Started with Android and Kotlin
Kotlin, XML, and the UI Designer
Exploring Android Studio and the Project Structure
Getting Started with Layouts and Material Design
Beautiful Layouts with CardView and ScrollView
The Android Lifecycle
Kotlin Variables, Operators, and Expressions
Kotlin Decisions and Loops
Kotlin Functions
Object-Oriented Programming
Inheritance in Kotlin
Connecting Our Kotlin to the UI and Nullability
Bringing Android Widgets to Life
Android Dialog Windows
Handling Data and Generating Random Numbers
Adapters and Recyclers
Data Persistence and Sharing
Localization
Animations and Interpolations
Drawing Graphics
Threads and Starting the Live Drawing App
Particle Systems and Handling Screen Touches
Android Sound Effects and the Spinner Widget
Design Patterns, Multiple Layouts, and Fragments
Advanced UI with Paging and Swiping
Advanced UI with Navigation Drawer and Fragment
Android Databases
A Quick Chat Before You Go
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Give reaction to this post to see the hidden content. Building Machine Learning Systems with Python: Explore machine learning and deep learning techniques
English | 2018 | ISBN: 1788623223 | 394 pages | PDF | 16.79 MB
Building Machine Learning Systems with Python: Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition
Get more from your data by creating practical machine learning systems with Python
Key Features
Develop your own Python-based machine learning system
Discover how Python offers multiple algorithms for modern machine learning systems
Explore key Python machine learning libraries to implement in your projects
Book Description
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems.
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and being introduced to libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems. With Building Machine Learning Systems with Python, you'll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems.
By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks.
What you will learn
Build a classification system that can be applied to text, images, and sound
Employ Amazon Web Services (AWS) to run analysis on the cloud
Solve problems related to regression using scikit-learn and TensorFlow
Recommend products to users based on their past purchases
Understand different ways to apply deep neural networks on structured data
Address recent developments in the field of computer vision and reinforcement learning
Who this book is for
Building Machine Learning Systems with Python is for data scientists, machine learning developers, and Python developers who want to learn how to build increasingly complex machine learning systems. You will use Python's machine learning capabilities to develop effective solutions. Prior knowledge of Python programming is expected.
Table of Contents
Getting Started with Python Machine Learning
Classifying with Real-world Examples
Regression
Classification I – Detecting Poor Answers
Dimensionality Reduction
Clustering – Finding Related Posts
Recommendations
Artificial neural Networks & Deep Learning
Classification II – Sentiment Analysis
Topic Modeling
Classification III – Music Genre Classification
Computer Vision
Reinforcement Learning
Bigger Data
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Give reaction to this post to see the hidden content. Debugging iOS Applications with IDA Pro Tutorial
We have updated our iOS Debugging Tutorial. It has some new sections that should be of particular interest:
“Debugging the DYLD Shared Cache” discusses how to combine IDA’s incremental dyldcache loading functionality with the iOS Debugger.
“Debugging System Applications” is a concrete example of how to use IDA to debug an iOS system daemon on a jailbroken device.
We hope you will find these new examples engaging and useful!
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