
## Ep 1: React Sucks

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It's almost 2022, but:
  — we still don't have adequate approaches that the community agrees regarding state management;

  — there are a lot of options for conditional rendering, but each of them is a compromise;

  — JSX is a nightmare;

  — it's just slow. Maybe examples from their documentation page are working fast, but whenever someone starts to work on something a little bit more complex, react starts to create problems for you;

  — seems like all form libraries in the ecosystem have been created to make the DX as awful as possible.

P.S. Spoiler: other frameworks aren’t better.

P.P.S. In the meantime, I'm looking for middle and senior React and Node.js Developers.

P.P.P.S. It's the first post of the series of "😈 Unpopular opinions" where I'm making statements most people don't agree with and trying not to read/write comments.


😈 Unpopular opinion. Ep 1


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---

## Table of Contents

- [The course](#the-course)
- [Course Structure](#course-structure)
- [FAQ](#faq)
- [Benefits](#afterward-benefits)
- [Badge](#badge)

---

## The Course

Recently I've completed 4-month long journey of becoming Google
Certified Professional in Project Management. It was both challenging
and rewarding. I learned a lot about Management History, Practices, and Frameworks.

Here is the complete review of the certification process 👇

## Course Structure

The certification consists of 6 different sub courses:

1. <b>Foundations of Project Management</b>

   This course is the first in a series of six to equip you with the skills
   you need to apply to introductory-level roles in project management.

2. <b>Project Initiation: Starting a Successfull Project</b>

   This course will show you how to set a project up for success in the
   first phase of the project life cycle: the project initiation phase.
   In exploring the key components of this phase, you’ll learn how to define
   and manage project goals, deliverables, scope, and success criteria.

3. <b>Project Planning: Putting it All Together</b>

   This course will explore how to map out a project in the second phase
   of the project life cycle: the project planning phase. You will examine
   the key components of a project plan, how to make accurate time estimates,
   and how to set milestones.

4. <b>Project Execution: Running the Project</b>

   This course will delve into the execution and closing phases of the project life cycle. You
   will learn what aspects of a project to track and how to track them.
   You will also learn how to effectively manage and communicate changes,
   dependencies, and risks.

5. <b>Agile Project Management. Scrum</b>

   This course will explore the history, approach, and philosophy of Agile
   project management, including the Scrum framework. You will learn how
   to differentiate and blend Agile and other project management approaches.
   As you progress through the course, you will learn more about Scrum,
   exploring its pillars and values and comparing essential Scrum team
   roles.

6. <b>Capstone: Applying Project Management in the Real World</b>

   > The
   > hardest one to pass. This one consists of 8 peer-graded assignments
   > where you are going to set up the project from the idea till the closing
   > surveys and presentations.

   By the end of this course, you will have developed a portfolio of project management artifacts that will demonstrate the skills you have learned throughout the entire program, such as your ability to manage stakeholders and teams, organize plans, and communicate project details.

## FAQ

1. What is the <ColoredTag>duration</ColoredTag> of the course?

   > The course is self-paced and you can complete it as you go.
   > It took me 4 months (not intensive) with a full-time job and reading books (3-4) to complete the course.

2. What is the <ColoredTag>price</ColoredTag> of the course?

   > $39 per month ($156 in total in my case)

3. I'm <ColoredTag>beginner</ColoredTag>. What about me?

   > Beginners can apply and complete the course, but it'd be better if you already have some experience. It'll
   > help to understand why course emphasizes some topics and apply knowledge
   > in the real life.

4. I'm <ColoredTag>technical</ColoredTag> manager. Any valuable info for me?
   > YES! The course is a great opportunity for tech people to improve managerial skills,
   > cope better with daily routines of the team,
   > and understand better Project Management best-practices.

## Afterward Benefits

1. Gain exclusive access to the Coursera Job Platform
2. Build your resume, participate in mock interviews, and receive job search tips through Big Interview. Free for program graduates ($79/month value).
3. Receive 40% off on the globally recognized Professional Scrum Master I (PSM I) certification from Scrum.org
4. Receive exclusive discounts and career resources from the Project Management Institute (PMI)

## Badge

1. Credly — [Google PM](https://www.credly.com/badges/d627e6c9-f0ec-415f-bd62-7f921aec7aba?source=linked_in_profile)
2. Coursera — [Google PM](https://coursera.org/share/fc4f53d708505b5d0e04566a279b5a79)

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4 months intensive Google Project Management Professional course hosted on Coursera

🧠 Google Project Management Course Review


Recently I had a webinar (in Armenian) where I was talking about programming languages and stacks, their differences, and how to choose one.

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In the article we're going to speak about five major software application types and ecosystems (languages, frameworks, libraries they have):

## Table of contents

- Part 1. Software Application Types
  - [Web Applications](#web-applications)
  - [Mobile Applications](#mobile-applications)
  - [Desktop Applications](#desktop-applications)
  - [Machine Learning](#machine-learning)
- Part 2. Algorithm for choosing a language
  - [Tips](#tips)
  - [Experience](#experience)
- Part 3. [Materials](#materials)

<span class="text-red-400">Note,</span> I've created also a <a
  target="_blank"
  href="https://mm.tt/1772184228?t=1vsSDGshVQ"
>
  Mind Map
</a> for the information I'm going to tell below. Make sure to follow mind map using
the link or images that I've attached to each chapter.

## Web Applications

When speaking of web apps one should imagine sites that he is using every day. They usually consist of two parts: frontend and backend.

> Frontend — is the practice of converting data to a graphical interface, through the use of HTML, CSS, and JavaScript, so that users can view and interact with that data. (Wikipedia)

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HTML stands for hypertext markup language — the backbone of every page that lives on the web.

> Hypertext is the text which contains links to other texts. (Ted Nelson, 1965)

CSS stands for Cascading Style Sheets and its main purpose is to make sites look gorgeous.

And JS stands for the most popular language that millions of people use daily.

> The front end is an interface between the user and the backend. The backend has three parts to it: server, application, and database. To handle the backend of given applications, programmers or backend developers have to deal with backend technologies that include languages like Java, C#, Python, Ruby, Node.js, PHP, and many others.

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One of the groups of backend languages includes those that have a strict type system and tight coupling with OOP ideas. These languages are Java, C#, C++, and many others. They are very popular among big enterprise companies due to their strictness and safety. Usually, newbies find them hard as a first language because of the high entry threshold.

Another group of languages includes those that have a dynamic type system, mostly they are multiparadigm with a low entry threshold. They are easier for learners because you can jump into the language very fast and see the result. JS (Node.js), Python, Ruby, PHP are the most famous languages. Big tech companies, like Twitter, Github, Basecamp are using Ruby (and Ruby on Rails framework) for backend development. Facebook and VK have been created using PHP (at least first versions).

Pros of web apps:

- One development team for all Operating Systems (user only needs browser)

- Development speed due to the infrastructure of libraries and frameworks which allow solving almost all problems.

- Low entry threshold

Cons of web apps:

- They lose to native apps because of the lack of access to hosting platforms (for example, Notifications, GPS, Cameras). Although I hope that Web 2.0 and PWA's will change the situation and WEB will be great again.

- There's no way to create high GPU-consuming apps (like big games) in WEB.

## Mobile Applications

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Researches by Statista are showing that in the third quarter of 2020 the half of the traffic worldwide came from mobile devices. I'm almost sure that half of the readers are also using mobiles so there is no need to describe what mobile applications are.

What is not clear when we're speaking about mobiles is their types and what languages one should master to start coding. To clarify that, let's explore three approaches to mobile development.

### 1. Hybrid applications

> A hybrid app is essentially a combination of a native app and a web app. Although this type of app can be installed on a device like a native app, it technically is a web app. These types of apps are built with HTML, CSS, or JavaScript and run in a web view.

So technically you still are writing your HTML, CSS, and JS
 code like you was doing in the case of web apps but now you're running the code in a web view.

One might think that this is brilliant technology and we should use it as a standard because now we can share the code between web and mobile, but things are not that easy. Hybrid apps are not showing good performance: apps are freezing and their UX suffers a lot (you can sense that even physically that the app is written for the web, not the mobile world).

### 2. Native Applications

When speaking about native apps, we should mention that there are two major operating systems for mobile: iOS and Android and both of them have their languages with big ecosystems.

For many years in the iOS world, the main language was Objective-C but then apple presented Swift which is easier for developers and now it's a de-facto standard for iOS applications.

In the case of Android, there's the same scenario, Java was the main language but then JetBrains presented Kotlin which took part in the market.

Native Apps had better UX due to their connection with host OS and direct access to the Notification, Camera, and other APIs.

At the same time, companies need two development teams to handle both Operating systems because it's not frequent when one developer knows both languages. It's the main disadvantage of native applications.

### 3. React Native

React Native combines the best parts of these worlds: it allows to write code that runs on both Operating Systems (actually 70-80% of the code), it allows companies to use frontend developers and their knowledge of JS and React and during the parts where React (and js) are close to their limits (GPU-consuming operations), you can write code on Swift or Kotlin and connect it with React Native via the so-called bridge (see RN docs for more info, it's really interesting. I promise).

## Desktop Applications

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The desktop world is similar to mobile. As the main advantage, we can see better UX because of the access to the Host Environment.

And as in mobile, here in Desktop, there are two popular approaches to development.

1. Native Applications
   Here we can use a lot of languages, like C# (created by Microsoft and works great on Windows), C++, Java, etc. The only problem is that in some cases we need multiple languages for different Operating Systems.

2. Electron Applications
   JS Ecosystem has reached even this point and using HTML, CSS, and JS we can build cross-platform desktop apps. VS Code, Facebook Messenger, Figma, WhatsApp have been created with Electron. Also, it worth mentioning that Electron applications are cross-platform which means the code can be run in different OS environments.

## Machine Learning

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There are many languages that one can use for creating ml products: Python, R, JS, C, C++, Java, C# but the big part of the market are developing the products using Python because of its big infrastructure: tons of libraries and platforms like Tensorflow are available for Python (also for JS). That's why Python is the number one choice for ML.

## Tips

Finally, we know about most software application types and now we can create an algorithm for picking a language and our algorithm will base on three criteria.

### Skills and interests

If you are interested in visual information representation and working with the product that end-users are gonna face, then maybe frontend, mobile or desktop stacks are for you. Elsewhere, if you're not interested in visual and more in data processing and manipulation then you should consider Back End or ML stack is right for you.

### Mentors and Environments

Mentors and people who surround you are also very important. So if most of your colleagues and friends know any programming language, then you should consider that one because their role in your first steps will be crucial.

### Languages by market

The one thing that newbies should also take into consideration is the market. If there's no need for developers for the language that you consider then maybe it's not the best option. That's why it's really important to check what the market needs. I'd recommend to stard with [Stack Overflow survey](https://insights.stackoverflow.com/survey/2020) to understand market needs better.

## Experience

I chose JS and React Ecosystem because of their cross-environmental approach. JS and React are being used in Web, Mobile, Desktop, and even ML which allows me to focus not on technologies but on creating applications. I also understand that JS Ecosystem is not the best performance-wise and sometimes reaches its limits but in most cases, it gives me tons of other benefits.

I hope that I helped to create a framework that will help you to find your language and most importantly, your ecosystem.

## Materials

1. [Mind Map for different languages and their infrastructure](https://mm.tt/1772184228?t=1vsSDGshVQ)
2. <a target="_blank" href="/static/slides/how-to-choose-language.pdf">
     Get Slides
   </a>
3. [Stack Overflow Survey](https://insights.stackoverflow.com/survey/2020)
4. [Frontend Interview Questionnaire](https://github.com/vre2h/interview-questionnaire)


Text version of a webinar that I've been given on 27th of March, 2021.

How to choose a programming language?

Designers are the most important people in the product creation process

😈 Unpopular opinion. Ep 2

Ep 2: Designers are the most important people in the product creation process

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😈 Unpopular opinion. Ep 1

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How to choose a programming language?