Skip to main content

Every JavaScript framework tutorial written more than 5 minutes ago

Roger opened the Reddit app on his phone and looked for something interesting to read. He scrolled past articles about how to be more creative. He scrolled past articles about how to be a mega-successful entrepreneur. He scrolled past articles about how to write way more gooder.
He was about to bounce over to Twitter when a headline caught his eye.
Forget Angular. Forget React. Introducing Tupress, the ultimate JavaScript framework.
Hmm, maybe it’s time to finally learn a framework, Roger thought. He had been dabbling in JavaScript for a few months. Why not see what all the framework fuss was about? After skimming the article — which included words like “intuitive” and “flexible” and “versatile” — Roger was sold.
He fired up his MacBook, Googled “Tupress tutorial” and opened the top result. The tutorial said it would teach him how to build a two-deux app. When completed, the app would accept a list of “twos” in English (2, 2, 2, 2, 2, 2) and convert it to French (le 2, le 2, le 2, le 2, le 2, le 2).
Step one, the tutorial said, was to install Tupress. Well, duh. Then Roger had to install Bistup — a lightweight wrapper, whatever that meant. After that, he had to install Claster, which provided a thin unopinionated layer of utility methods and middleware. He didn’t know what that meant either, but installed it anyway.
Finally, he had to install Pirend, a real-time RESTful API micro-service layer for implementing CRUD and AJAX using JSON. That must be important, thought Roger, or it wouldn’t have all those acronyms.

Installing all the things (credit: tutsplus)

Now that everything was installed, Roger was excited to start writing some code. But there were a few more steps before he could do that, according to the tutorial. First, he had to install Git, provision a cloud-based database, create a RESTful API server, implement API endpoints, update dependencies, and set up a component-based project structure.
“Yeesh,” yeeshed Roger. That sounds awfully complicated. But I already installed a bajillion things, Roger thought. Can’t quit now.

Two weeks and 179 Google searches later, Roger finally figured out how to get everything set up. He opened a terminal window and typed “tupr start.” Then he opened Chrome and navigated to localhost:3000. According to the tutorial, he should have seen “Tupress works!”
Instead, Roger saw … nothing. A whole lot of nothing. Tupress, sadly, was not working.
“Sigh,” sighed Roger. To figure out what had gone wrong, Roger opened the console in Chrome developer tools. “Yikes,” yiked Roger. What a bloodbath. More red than a Game of Thrones wedding.

This looks … not good (credit: Stack Overflow)

“I just want to write a bit of code and make a simple app,” Roger thought. It shouldn’t be this hard.
Still, he didn’t quit. He cut and pasted each and every console error into Google. He discovered on Stack Overflow that the month-old tutorial used Tupress version 1.3.2, Bistup version 1.2.1, Claster version 3.7.2, and Pirend version 4.2.1.
Roger, on the other hand, had installed the latest versions of each, and they no longer played nice together. Also, Tupress 5 just came out and was completely different than Tupress 1 (there was no Tupress 2, 3 or 4).
On another programming forum, Roger learned that Bistup had fallen out of favor with most developers. It was not lightweight enough. Oh, and Claster wasn’t nearly as thin as promised, apparently. So a developer in Switzerland created an alternative (Focrux.js) that was much better.
Seven weeks later, after uninstalling and reinstalling everything multiple times, reading all of Stack Overflow, watching every YouTube video on JavaScript frameworks, and reading all 13 volumes of You Don’t Know S**t about Tupress, Roger had a Chrome console free of errors.
“Oh yeah,” Roger oh-yeahed.
He opened a terminal window, typed tupr start and started localhost:3000, where, finally, at long last, he saw:




We are Hotel price comparison API whcih compares more than 200 websites to get you JSON data, to make bookings more transparent.








Comments

  1. This is an awesome post. Really very informative and creative contents. This concept is a good way to enhance knowledge. I like it and help me to development very well. Thank you for this brief explanation and very nice information. Well, got good knowledge.
    WordPress website development Chennai

    ReplyDelete

Post a Comment

Popular posts from this blog

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for each major topic. This is the most complete list and the Big-O is at the very end, enjoy… If you like this list, you can let me know here Neural Networks

Neural Networks Cheat Sheet Neural Networks Graphs

Neural Networks Graphs Cheat Sheet



Neural Network Cheat Sheet Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
Code Snippets and Github Includedchatbotslife.com
Machine Learning Overview

Machine Learning Cheat Sheet
Machine Learning: Scikit-learn algorithm This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. The flowchart will help you check the documentation and rough guide of …

A Tour of The Top 10 Algorithms for Machine Learning Newbies

In machine learning, there’s something called the “No Free Lunch” theorem. In a nutshell, it states that no one algorithm works best for every problem, and it’s especially relevant for supervised learning (i.e. predictive modeling). For example, you can’t say that neural networks are always better than decision trees or vice-versa. There are many factors at play, such as the size and structure of your dataset. As a result, you should try many different algorithms for your problem, while using a hold-out “test set” of data to evaluate performance and select the winner. Of course, the algorithms you try must be appropriate for your problem, which is where picking the right machine learning task comes in. As an analogy, if you need to clean your house, you might use a vacuum, a broom, or a mop, but you wouldn’t bust out a shovel and start digging.
 "Try our Hotel price comparison API to compare more than 200 hotel websites." And if you love this post don't forge…

The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning

Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different. Plus, how AI and IoT are inextricably connected. We’re all familiar with the term “Artificial Intelligence.” After all, it’s been a popular focus in movies such as The Terminator, The Matrix, and Ex Machina (a personal favorite of mine). But you may have recently been hearing about other terms like “Machine Learning” and “Deep Learning,” sometimes used interchangeably with artificial intelligence. As a result, the difference between artificial intelligence, machine learning, and deep learning can be very unclear. I’ll begin by giving a quick explanation of what Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) actually mean and how they’re different. Then, I’ll share how AI and the Internet of Things are inextricably intertwined, with several technological advances all converging at once to set the foundation for an AI and IoT exp…