Forem: Learn to Code

Laravel 6 PHP Framework Tutorial - Full Course for Absolute Beginners

Learn to Code — Wed, 16 Oct 2019 02:27:03 +0000

In this course, you will learn Larval 6 Core Functionalities, Laravel 6 CRUD and Default Authentication System.

Laravel is an open-source PHP framework, which is robust and easy to understand. It follows a model-view-controller design pattern. Laravel reuses the existing components of different frameworks which helps in creating a web application. The web application thus designed is more structured and pragmatic.

Why We Should Learn Laravel?

Laravel is a first development life cycle and less code functionality
It's easy to learn
Making web applications faster
Configuration error and exception handling
Automation testing work.
URL Routing Configuration is very high in Laravel.
Scheduling tasks configuration and management
It has a huge community
Unlimited resource.
Most importantly it's very easy to get a job if you have Laravel skills.

What you'll learn

Laravel 6 Fundamental
Laravel 6 CRUD Functions
How to insert Data in Database
How to Read Data From Database
How to Update Data in Database
How to Delete Data From the Database
Laravel 6 Default Authentication System
How to Set Up Reset Password Option
How to Create Change Password Option

Top 5 Machine Learning Libraries in Python

Learn to Code — Tue, 15 Oct 2019 08:02:06 +0000

In this article, we are going to learn about the top 5 Machine Learning libraries in python that are widely used by ML experts.

Welcome to Top 5 Machine Learning Libraries in Python. This is an introductory course on the process of building supervised machine learning models and then using libraries in a computer programming language called Python.

What’s the top career in the world? Doctor? Lawyer? Teacher? Nope. None of those.

The top career in the world is the data scientist. Great. What’s a data scientist?

The area of study which involves extracting knowledge from data is called Data Science and people practicing in this field are called as Data Scientists.

Business generate a huge amount of data. The data has tremendous value but there so much of it where do you begin to look for value that is actionable? That’s where the data scientist comes in. The job of the data scientist is to create predictive models that can find hidden patterns in data that will give the business a competitive advantage in their space.

A machine learning engineer is a person who builds predictive models, scores them and then puts them into production so that others in the company can consume or use their model. They are usually skilled programmers that have a solid background in data mining or other data related professions and they have learned predictive modeling.

In the course we are going to take a look at what machine learning engineers do. We are going to learn about the process of building supervised predictive models and build several using the most widely used programming language for machine learning. Python. There are literally hundreds of libraries we can import into Python that are machine learning related.

A library is simply a group of code that lives outside the core language. We “import it” into our work space when we need to use its functionality. We can mix and match these libraries like Lego blocks.

What you’ll learn

You’ll receive the completely annotated Jupyter Notebook used in the course.
You’ll be able to define and give examples of the top libraries in Python used to build real world predictive models.
You will be able to create models with the most powerful language for machine learning there is.
You’ll understand the supervised predictive modeling process and learn the core vernacular at a high level.

Learn Machine Learning From Beginner to Advanced

Learn to Code — Fri, 27 Sep 2019 06:48:19 +0000

Learn Machine Learning like a professional! Start as a beginner and go all the way to advanced from scratch.

Welcome to “Learn Machine Learning From Beginner to Advanced”. By using this comprehensive course you will learn the basics of Machine Learning, Some of the advanced topics of Machine Learning and much more. In this course i will assume that you have no prior knowledge about Machine Learning and by the end of the course you will be at advanced level. This course will guide you step by step so that you will learn basics and theory of every part.

In this complete Machine Learning course you will learn:

Machine Learning Basics
Learn To Program For Machine Learning
Visualization
Metrics
Classification
Clustering
Dimensionality Reduction
Regression
Natural Language Processing
Probability
Statistics
Big Data and Data Science

Introduction to Node & Express

Learn to Code — Thu, 26 Sep 2019 01:39:40 +0000

Get started on your full-stack developer career by learning Node & Express the most popular Javascript web framework in the world

Since its introduction in 2009, Node JS has exploded in popularity and is now the industry standard for JavaScript-based server systems. In conjunction with the popular web framework Express JS, Node has made it possible for full stack developers to create scalable, fast, sophisticated web apps using one primary language on both the front end and back end - JavaScript. In this intro series, we break down the basics of a Node/Express application.

The 10-part series covers:

Project Structure
Static Assets
Templating Engines
Dynamic Requests
Handling POST data
Rendering Dynamic Data
Styling and Images
Middleware
Deployment
What you’ll learn

Create a simple web app using Node JS, Express, Bootstrap and jQuery then deploy to a staging environment.

Learn Machine Learning Zero to Hero!

Learn to Code — Fri, 20 Sep 2019 02:58:24 +0000

Intro to Machine Learning: Machine Learning represents a new paradigm in programming, where instead of programming explicit rules in a language such as Java or C++, you build a system which is trained on data to infer the rules itself. But what does ML actually look like? In part one of Learn Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) walks through a basic Hello World example of building an ML model, introducing ideas which we'll apply in later episodes to a more interesting problem: computer vision.

Try this code out for yourself in the Hello World of Machine Learning: https://goo.gle/2Zp2ZF3

Basic Computer Vision with ML: In part two of Learn Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) walks through basic computer vision with Machine Learning by teaching a computer how to see and recognize different objects.

Beyond Hello World, a Computer Vision Example: https://goo.gle/34cHkDk

Introducing convolutional neural networks: In part three of Learn Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses convolutional Neural Networks and why they are so powerful in Computer vision scenarios. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this video you'll see how they work, by processing an image to see if you can extract features from it!

Codelab: Introduction to Convolutions → http://bit.ly/2lGoC5f

Build an image classifier: In part four of Learn Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) discusses the build of an image classifier for rock, paper, and scissors. In episode one, we showed a scenario of rock, paper, and scissors; and discussed how difficult it might be to write code to detect and classify these. As the episodes have progressed into Machine Learning, we’ve learned how to build neural networks from detecting patterns in raw pixels, to classifying them, to detecting features using convolutions. In this episode, we have put all the information from the first three parts of the series into one.

Colab notebook: http://bit.ly/2lXXdw5

Rock, paper, scissors dataset: http://bit.ly/2kbV92O

Rust Programming for IOT (Internet of Things)

Learn to Code — Thu, 19 Sep 2019 01:53:31 +0000

Is Rust ready for the embedded world yet? If your IOT project is on ARM or MSP430, it already has native support in the Rust compiler, and AVR and RISC-V have compiler forks available. But architecture support is only the first challenge: If you're used to writing Rust for hosts that run an operating system, the paradigm shift of having to do everything yourself in the embedded world can be jarring. This talk will introduce the basic techniques for writing Rust to run Microcontrollers, and survey outstanding embedded rust projects already available in the ecosystem.

Testing from 0 to 100

Learn to Code — Wed, 10 Jul 2019 07:44:58 +0000

Unit tests... API tests... UI tests... mocha... chai... jasmine... cucumber... enzyme...?
Want to introduce test automation to your project, but not sure where to start and what tools to use?

Thanks for reading ❤
If you liked this post, share it with all of your programming buddies!
Follow us on Facebook | Twitter

Race Conditions in JavaScript Apps

Learn to Code — Mon, 08 Jul 2019 07:15:51 +0000

"During an 'await' anything could happen." ... It’s easy to create race conditions in JavaScript if you’re not careful. This talk is about dealing with common kinds of race conditions based on my experience working on a real-time collaborative app.

Thanks for reading ❤
If you liked this post, please do share/like it with all of your programming buddies!
Follow us on Facebook | Twitter

Vue.js Tutorial: Zero to Sixty

Learn to Code — Sat, 06 Jul 2019 07:35:36 +0000

VueJS is a fantastic front-end framework to learn, in this video, we get know what VueJS, how is it different to React and Angular, and how to use it to create state of the art web apps.

Thanks for reading ❤
If you liked this post, please do share/like it with all of your programming buddies!
Follow us on Facebook | Twitter

Practical Machine Learning for Front End Developers

Learn to Code — Wed, 03 Jul 2019 06:55:56 +0000

In this video, we will talk about the different applications, possibilities, tools and resources, as well as show a few examples and demos, so you can get started building your own experiments using machine learning in JavaScript.

Machine learning can have some pretty complicated concepts to grasp if you’re not a data scientist. However, recent developments in tooling make it more and more accessible for developers and people with little or no experience. One of these advancements is the ability to now train and run machine learning algorithms and models in the browser, opening this world to front-end developers to learn and experiment.

Thanks for reading ❤
If you liked this post, share it with all of your programming buddies!
Follow us on Facebook | Twitter

Tkinter Python GUI Tutorial For Beginners

Learn to Code — Mon, 01 Jul 2019 13:41:18 +0000

This video will provide the detailed demonstration on how to create GUI applications in Tkinter.
So What is Tkinter ? Tkinter is the Python interface to the Tk GUI toolkit shipped with Python. In Python you can use the Tkinter module to create simple GUI programs. Tkinter does not always run reliably under IDLE Use IDLE’s editor to write GUI programs, but for best results run the program from the OS command line.
Learn Tkinter In easy and simple steps.

Thanks for reading ❤
If you liked this post, share it with all of your programming buddies!
Follow us on Facebook | Twitter

Test Driven Development with Angular

Learn to Code — Mon, 01 Jul 2019 08:33:36 +0000

In this video, you will learn the basics of test-driven development while building a simple Angular web application.

It will provide you with the confidence to use TDD for test-heavy environments such as corporate web application development. You will know exactly where to start and will have a working example of building entire features from scratch using TDD.

Throughout this course, you will build an app with a few simple features where for each feature you will write a test first, make it pass by adding code and then refactor to meet the standards. This course is perfect for developers who want to start using test-driven development and all of its benefits but struggle to write that very first failing test.

Thanks for reading ❤
If you liked this post, share it with all of your programming buddies!
Follow us on Facebook | Twitter

Forem: Learn to Code

Laravel 6 PHP Framework Tutorial - Full Course for Absolute Beginners

Top 5 Machine Learning Libraries in Python

Learn Machine Learning From Beginner to Advanced

Introduction to Node & Express

Learn Machine Learning Zero to Hero!

Rust Programming for IOT (Internet of Things)

Testing from 0 to 100

Further reading

Race Conditions in JavaScript Apps

Further reading about JavaScript

Vue.js Tutorial: Zero to Sixty

Further reading about Vue.js

Practical Machine Learning for Front End Developers

Further reading

Tkinter Python GUI Tutorial For Beginners

Further reading

Test Driven Development with Angular

Further reading