teleren/devto huggingface dataset:
How To Find A Job With Soft Skills When Coding Skills Are Weak I
Tags: career, motivation
Published: 2022-12-27 07:15:00

On Tuesday December 20th, 2022, I held a talk about **How to get a job as a developer with soft skills when tech skills are weak**.

It was for the last episode this year on [The  Monthly Dev](https://www.meetup.com/the-monthly-dev-world-class-talks-by-expert-developers/) event hosted by [daily.dev](https://daily.dev/). 

I want to share all the information in written form as well, divided in 6 parts, some longer some shorter than other.

1. Introduction
2. Different kind of skills
3. Be smart using GitHub 
4. Skill combination 1: Project Management combined with Time Management Skills, Problem-Solving Skills and Critical Thinking
5. Skill combination 2: Git Version Control combined with Communication Skills, Interpersonal Skills, Writing Skills
6. Other skills and Conclusion

## Introduction

As a soon-to-be junior developer, we tend to focus solely on our programming skills because we believe that's what recruiters are looking for - strong programming skills.

Even though good programming skills are indeed an advantage when applying for a job, you can also score points with good soft skills and you should not ignore them.

Because what I've heard over and over again when looking for a job was that **technical skills can be learned much easier, soft skills tend not to be**.

I find this topic particularly important because **soft skills in combination with a mix of some tech skills were the reason I got a job in the first place**.

Based on my previous experiences, like, how I was in school or at university, I soon realized that I would never make it into the tech if I focus solely on programming skills. At least not within a year, a year and a half.

So instead of focusing only on programming skills that I knew I couldn't acquire in this short time, I focused more on soft skills mixed with some tech skills to show what value I could bring to the company. And that has paid off.

---

_Stay tuned for the next part._
Web dev job wishlist?
Tags: webdev, svelte, job, office
Published: 2022-12-27 07:14:21

Today I thought about what I would love most for a #WebDev job (besides appropriate payment, etc.):

🖥️ Standing desk
⚒️ Working with #Svelte(Kit), DDEV
🐶 Office dog as mental support ;-)
🚏 Good public transport to office
⌚️ Flexible hours, 32-35h in total / week
👀 Regular breaks, health aspect
🤲 Contributing to open source projects
🏘️ Free choice between remote and office
🧑‍💻👨‍💻 Teamwork and learning opportunities
🏃‍♂️🚴🤸‍♂️ Shower (for sport breaks, jogging or cycling to work)
🌱🌎 Working towards stopping the climate crisis and improving aspects of society

How about you?🤗

Got some nice replies already:

{%embed https://twitter.com/kino_auge/status/1607296913589821441 %}

{%embed https://twitter.com/lasarkolja/status/1606958964255629312 %}

{%embed https://social.tchncs.de/@domhabersack@mastodon.social/109576680028185479 %}
Edge Computing Multiple Choice Questions
Tags: edgecomputing, mcq, edgecomputingmcq, pdf
Published: 2022-12-27 07:03:23

Practice here the top 10 [Edge Computing Multiple Choice Questions ](https://www.onlineinterviewquestions.com/edge-computing-mcq/)and Answers.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dagm6zhza3e9reusylbu.jpeg)

What is edge computing?
 

-  It is a blockchain technology
-  It is a type of computing
-  **It is distributed information technology**
-  None of the above

What are the uses areas of Edge Computing?

-  Manufacturing
-  Network optimization
-  Manufacturing
-  **All of the above**

What are the benefits of edge computing?
 
-  Autonomy
-  Edge security
-  Data sovereignty
-  **All of the above**

 Which of the following is an example of Edge Computing?
 
-  **Internet of Things**
-  Blockchain Technology
-  Machine Learning
-  None of the above

Edge computing is the use of any type of computer program that delivers low latency nearer to the requests.
 

-  **True**
-  False

The key benefits of edge computing are ............
 
-  Added functionality
-  Decreased latency
-  Decrease in server resources
-  **All of the above**

What are the disadvantages of Edge Computing?

-  It is expensive, means the cost is too high.
-  It has a limit to a smaller number of peripherals only.
-  It needs advanced infrastructure for processing data in an advanced way.
-  **All of the above**

Which technology doesn't need high and advanced security methods?

-  **Cloud Computing**
-  Edge Computing
-  Both Edge & Cloud Computing
-  None of the above

The origin of edge computing lie in content distribution networks that were created in the late ..........
 
- 1980s
-  **1990s**
-  1989s
-  1992s

What does MQTT stands for?

-  Message Queue Telemetry Things
-  Message Queue Transport Things
-  **Message Queue Telemetry Transport**
-  None of the above

Thanks for reading here.
The Doris Summit 2022 CONFERENCE AGENDA is Live Now!
Tags: news, cloudnative, opensource, database
Published: 2022-12-27 07:03:14

In the trend of digital transformation, data is the key factor of production. How to better conduct real-time data analysis and fully use the data has become more and more important. At present, most enterprises come across a huge amount of data. Due to problems such as resource constraints, redundant architecture, and difficulty in data migration, the accuracy of real-time data cannot be guaranteed and the value of data is also greatly reduced. 

As one of the most popular real-time analysis databases, Apache Doris is known for extreme speed, ease of use, and real-time processing. So far, Apache Doris has been widely used by 700+ companies around the world with its advanced MPP parallel execution framework, powerful vectorized execution engine, friendly standard SQL, and plained architecture. 

The first Doris Summit with the theme of "Select Future From Doris" is about to kick off, which receives a round of applause from the community. The online conference will be hosted on January 6-7th, 2023. A total of 40+ speech topics have been collected, which consists of 3 sessions: Plenary session( core technology), Breakout session 1 (business and data ecology) and Breakout session 2( best practice). The conference gathered tech leaders from the Internet, finance, automobile, logistics, gaming and manufacturing. Keep up with these experts from SelectDB, Baidu AI Cloud, Tencent Cloud,  Alibaba Cloud, AWS, ByteDance, Xiaomi and JD. COM, you will explore the lessons they have learned, techniques they have discovered and the pitfalls to avoid.  

# Full Agenda:

## Plenary Session:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nz2jcximx0zmejb6mxrr.png)

## Breakout Session

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bpqfh1fhf50aphgk5edz.png)

# Sign Up Now
http://hdxu.cn/PpMyh

# About Doris Summit 
Doris Summit is an annual event of Apache Doris community, which gatheres community members and experts in the field of real-time analysis from all over the world. In the conference, the community will take an overlook on the past developments and a glimpse into the future trends. In addition, technical talks from software leaders push the boundaries and share their ideas as the early adopter of Apache Doris. 

Join us and spend time with global peers and become part of Apache Doris community. We are looking forward to seeing you at the conference!

# About SelectDB
SelectDB is an open-source technology company dedicated to providing the Apache Doris community with a team of full-time engineers, product managers and fully technical support. Meanwhile, SelectDB is willing to prosper the open-source community ecology and create an international industry standard in the field of real-time analytical data warehouses. Based on the new generation of cloud-native real-time data warehouse developed by Apache Doris, SelectDB runs on multiple clouds and provides users and customers with the feature of out-of-the-box.
🎫 Let tag crowd do your GitHub {repo}rting ☁️
Tags: github, datascience, management, api
Published: 2022-12-27 06:56:50

## ❔ About

Have you ever been challenged to explain/report within a few seconds what has been done on a project ?... and most important where did you actually put your efforts.

**Based on the fact that your highly us issues** to manage any task on your project and has achieved some automation around them, then it's a treasure that only asks to be shown.

## ☁️ Let the clouds help

As part of our activities reporting we could produce some very useful content that **help understand a project activity within less than a second**... and even perform some classification.

## 📊 Output samples

### 🧑‍💼 Division activity

Assuming you want to have a look at the issues accross all your repos, here is what we got: 

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/514w70av256l05uzgu2z.png)

### 🧰 Maintenance milestone (Angular App)

We also wanted to focus on a specific project. You can immediately see that activity was focused on Angular upgrade:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1f8rl1jqcde60qwf9m1m.png)

### 🛤️ Quarkus app (standard maintenance phasis)

Sometimes you have running projects with few or no enhancements, this is what you can immediately see:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0qt9uioim1rea4eg4k8t.png)


### 💦 Better understand stack and efforts

On this one, we got a glance on what has been achieved and about the stack we used:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ngfut6dttd8amoe74of8.png)

## 💰 Conclusion

These charts at first looked _futile_ but as soon as we saw them, we found them profoundly useful as they make it possible to 

> _explain within a single image what kind of activity has been achieved, under which proportion and with which stack._

Finally it really worth a thousand mails with explanations... and it's **fully driven by real code activity.**
Can we respond with file in REST?
Tags: wso2, rest, webdev
Published: 2022-12-27 06:50:52

I've recently started learning wso2, I have a service which converts csv file to json file, when the client send the file in post method to the service the service should transform the csv file to json file and respond with the json file.
Is it possible to do that?. Any help would be appreciated.
GetX Tutorial for Beginners | Part 1 | Basic Concept About GetX
Tags: flutter, get, tutorial, mobile
Published: 2022-12-27 06:46:20

{% embed https://youtu.be/fDOXjeZHtk4 %}

If you are a flutter developer. You can learn about GetX Package. In this tutorial, you will be learning about GetX Package. If you wanted to make a real-time application quickly you can be using GetX library. 

If you want to know how can use GetX package the easiest way then you must watch this video gives you a quick understanding of the basic concepts.

If you are interested to 1 to 1 Live Training on flutter application development then enrol by link https://shibajidebnath.com/trainings/flutter-apps-development
How do I become a data scientist without programming knowledge?
Tags: webdev, datascience, database, python
Published: 2022-12-27 06:14:45

Machine learning and data engineering are two of the most challenging industries to work in. Though it might It would seem that in order to succeed, specialists must be knowledgeable in Python and programming. This may be the case in some circumstances, however allow me to demonstrate how Data Science may be performed without any programming experience.

There are plenty of online courses, including trainer and self-paced ones, such as [Brainalyst](https://brainalyst.in), Greatlearning, Edureka, Learnbay, etc., that make the claim that they can turn even non-programmers into data science ninjas. But not all of them are adequately effective.

You can't pick the correct course until you understand the challenging learning path from no coding to demanding data scientist.

Many people began considering pursuing education in information science as a career as it became in popularity. On the other side, the notion that one must be a programmer to understand data science has deterred a lot of people. Many people think that Python is the sole language that makes machine learning possible. However, I can promise you that this is untrue! Understanding data science is important since it is a fundamental topic. You can tackle a lot of real-world problems without any programming skills before learning Python!

Thinking about any part of data characteristics, data quality, and data correctness is the foundation of data science. So it doesn't matter if you received your training using Python software or any other kind of technology.

Now that you have mastered using the aforementioned data science skills in the context of your fundamental domain knowledge, you can succeed as a data scientist even if you are a novice programmer.

One of the finest ways to learn new technology is through online education. Relying on online courses from reputable firms is unquestionably a worthwhile strategy because they can sketch and visualise your profession in a short amount of time. Some institutions provide data science training that is highly in-depth and practical. They also provide programming skill-building classes starting at the fundamental level.

First, let's discuss Brainalyst [Data science Course](https://brainalyst.in/data-science-course-placement-guarantee/) (recommended for working pros)

The top Brailayst courses in the field of data science aid in the development of data scientists.

**[Full Stack Data Science MAster program](https://brainalyst.in/full-stack-data-science-course-program/)
**

1. Duration of this course is 7.5 months
2. This course is accessible to working individuals with a year of relevant experience in any field.
3. The 4 syllabus will include a specific module for training non-programmers.
4. Projects: 12+ Real-Time Projects & 2 Capstone Projects
GraphQL vs. REST API: What You Didn’t Know
Tags: webdev, programming, restapi, graphql
Published: 2022-12-27 05:57:37

GraphQL and REST (Representational State Transfer) APIs are two different approaches to building and exposing APIs (Application Programming Interfaces). While both approaches have their own strengths and use cases, they differ in several key ways. In this article, we will compare GraphQL and REST APIs and discuss their pros and cons.

Structure: GraphQL APIs have a flexible structure, as they allow developers to specify the exact data they want in a request. This makes it easy to retrieve complex data structures and allows for more efficient use of network resources. REST APIs, on the other hand, have a fixed structure, with each endpoint representing a specific resource or action.

Over-fetching and under-fetching: GraphQL APIs can help mitigate the issue of over-fetching (retrieving more data than is needed) and under-fetching (retrieving too little data), as developers can specify exactly what data they need in a request. REST APIs, on the other hand, may require multiple requests to retrieve the necessary data, which can lead to over- or under-fetching.

Versioning: GraphQL APIs do not require versioning, as the structure of the API is flexible and can be changed without breaking existing integrations. REST APIs, on the other hand, often require versioning to avoid breaking existing integrations when making changes to the API.

Performance: GraphQL APIs can be more efficient than REST APIs in certain cases, as they allow developers to specify exactly what data they need in a request. This can reduce the amount of data that needs to be transferred and improve performance. REST APIs, on the other hand, may require multiple requests to retrieve the necessary data, which can affect performance.

Ease of use: GraphQL APIs can be more complex to use than REST APIs, as they require developers to specify the exact data they want in a request. REST APIs, on the other hand, have a fixed structure and are generally easier to use.

Overall, both GraphQL and REST APIs have their own strengths and use cases. GraphQL APIs are well-suited for situations where a flexible structure and efficient data retrieval are important, while REST APIs are generally easier to use and may be a better choice for simpler use cases.
DESIGN PATTERNS
Tags: webdev, algorithms, programming, design
Published: 2022-12-27 05:52:25

## What's a design pattern?

**Design patterns** ເປັນວິທີແກ້ໄຂບັນຫາທົ່ວໄປທີ່ມັກເກີດໃນຂະບວນການພັດທະນາ software, ເຊິ່ງປຽບເໝືອນພິມຂຽວ(blueprint)ທີ່ສ້າງ ຫຼື ອອກແບບໄວ້ລ່ວງໜ້າເຊິ່ງເຮົາສາມາດປັບແຕ່ງເພື່ອແກ້ໄຂບັນຫາທີ່ເກີດຊ້ຳໆໃນ code ຂອງເຮົາໄດ້.

ເຮົາບໍ່ສາມາດຄົ້ນຫາ pattern ໃນເນັດ ແລະ copy ມາໃສ່ program ຂອງເຮົາຕົງໆແບບເສກຄາຖາໃສ່ code ໄດ້, ເຊິ່ງມັນບໍ່ຄືກັນກັບການ copy code ຈາກເນັດມາໃສ່ໃນ function ຖ້າເຮັດວຽກໄດ້ແລ້ວຈົບ. pattern ບໍ່ແມ່ນຮູບແບບຂອງ code ສ່ວນໃດສ່ວນໜຶ່ງ ແຕ່ມັນເປັນແນວຄິດໃນການແກ້ໄຂບັນຫາສະເພາະເຈາະຈົງ, ເຊິ່ງເຮົາສາມາດປະຕິບັດຕາມຮູບແບບຂອງແຕ່ລະ pattern ເພື່ອໃຊ້ແກ້ໄຂບັນຫາຕົວຈິງຂອງ program.

ຫຼາຍຄົນມັກຈະສັບສົນລະຫວ່າງ pattern ແລະ algorithms ເນື່ອງຈາກ concept ທັງສອງແມ່ນອະທິບາຍວິທີການແກ້ໄຂບັນຫາບາງບັນຫາທີ່ຮູ້ແລ້ວ. ໃນຂະນະທີ່ algorithms ຈະກຳນົດວິທີການແກ້ໄຂບັນຫາເພື່ອບັນລຸເປົ້າໝາຍໄດ້ຢ່າງຊັດເຈນ(ມີຮູບແບບໃນການຂຽນ code ຊັດເຈນ), ແຕ່ pattern ເປັນຄຳອະທິບາຍວິທີການແກ້ໄຂບັນຫາໃນລະດັບສູງ, ເຊິ່ງ code ທີ່ນຳໃຊ້ pattern ດຽວກັນແຕ່ຢູ່ຄົນລະ projects, code ສ່ວນນັ້ນກໍ່ອາດຈະຕ່າງກັນ.

ຖ້າຈະປຽບທຽບ algorithms ກໍ່ຄືສູດການເຮັດອາຫານ:​ເຊິ່ງທັງສອງຈະກຳນົດວິທີການໄວ້ຢ່າງຊັດເຈນເພື່ອໃຫ້ໄດ້ຜົນລັບຕາມເປົ້າໝາຍທີ່ວາງໄວ້. ໃນຂະນະທີ່ pattern ປຽບເໝືອນພິມຂຽວ: ເຊິ່ງເຮົາສາມາດເບິ່ງຜົນລັບ ແລະ ຄຸນລັກສະນະຂອງມັນໄດ້ວ່າເປັນແບບໃດ, ແຕ່ລຳດັບຂອງການໃຊ້ງານແມ່ນຂຶ້ນຢູ່ກັບເຮົາ.

## What does the pattern consist of?

pattern ສ່ວນໃຫຍ່ແມ່ນໄດ້ອະທິບາຍຄຸນລັກສະນະໄວ້ພໍປະມານເພື່ອໃຫ້ຄົນທີ່ເອົາໄປນຳໃຊ້ສາມາດນຳໄປປັບໃຊ້ໃນໄດ້ໃນຫຼາຍບໍລິບົດ. ແຕ່ມັກຈະຖືກອະທິບາຍໃນຮູບແບບຕ່າງໆດັ່ງນີ້:

- **Intent**(ເຈດຕະນາ)ຂອງ pattern ຈະອະທິບາຍທັງບັນຫາ ແລະ ແນວທາງແກ້ໄຂບັນຫາ.
- **Motivation**(ແຮງຈູງໃຈ)ຈະອະທິບາຍບັນຫາເພີ່ມເຕີມ ແລະ ແນວທາງແກ້ໄຂທີ່ pattern ເຮັດໃຫ້ເປັນໄປໄດ້.
- **Structure**(ໂຄງສ້າງ)ຂອງ classes ສະແດງແຕ່ລະສ່ວນຂອງ pattern ແລະ ຄວາມກ່ຽວຂ້ອງກັນ.
- **Code example**(ຕົວຢ່າງ Code)ໃນພາສາການຂຽນໂປຣແກຣມຍອດນິຍົມພາສາໜຶ່ງຊ່ວຍໃຫ້ເຂົ້າໃຈແນວຄິດເບື້ອງຫຼັງຂອງ pattern ໄດ້ງ່າຍຂຶ້ນ.

## Why should I learn patterns?

ໃນຄວາມເປັນຈິງກໍ່ຄືເຈົ້າກໍ່ອາດຈະເປັນໂປຣແກຣມເມີຄົນໜຶ່ງທີ່ເຮັດວຽກມາຫຼາຍປີໂດຍທີ່ຍັງບໍ່ຮູ້ຈັກ pattern ໃດເລີຍ(ຜູ້ຂຽນກໍ່ເປັນໜຶ່ງໃນນັ້ນ) ແລະ ເຊື່ອວ່າຫຼາຍຄົນກໍ່ເປັນຈັ່ງຊັ້ນ ຫຼື ອາດຈະໃຊ້ຢູ່ແລ້ວແຕ່ບໍ່ຮູ້ວ່າໂຕເອງໃຊ້ຢູ່. ແລ້ວເປັນຫຍັງເຮົາຄືບໍ່ລອງສະລະເວລາມາລອງສຶກສາ pattern ແນ່?

- Design pattern ເປັນ toolkit ໃນການແກ້ໄຂບັນຫາທີ່ຜ່ານການທົດລອງ ແລະ ທົດສອບສຳລັບບັນຫາທົ່ວໄປໃນການອອກແບບ software ເຖິງແມ່ນວ່າເຮົາຈະບໍ່ເຄີຍພົບບັນຫາເຫຼົ່ານັ້ນມາກ່ອນ ແຕ່ການທີ່ເຮົາໄດ້ສຶກສາ pattern ມັນກໍ່ຍັງມີປະໂຫຍດ, ເພາະມັນສອນວິທີແກ້ໄຂບັນຫາທຸກປະເພດໂດຍໃຊ້ຫຼັກການອອກແບບເຊີງວັດຖຸ(object-oriented design)

- Design patterns ມີການກຳນົດພາສາທົ່ວໄປທີ່ເຮົາ ແລະ ເພື່ອນຮ່ວມທີມສາມາດໃຊ້ເພື່ອສື່ສານກັນໄດ້ຢ່າງມີປະສິດທິພາບຫຼາຍຂຶ້ນ.

*ໃນຄວາມເປັນຈິງຖ້າຈະເອົາມານຳໃຊ້ເຂົ້າໃນຂະບວນການພັດທະນາກໍ່ຕ້ອງຄຳນຶງເຖິງຫຼາຍໆປັດໄຈ, ບາງຄັ້ງມັນກໍ່ອາດຈະບໍ່ເໝາະ.

ບົດຄວາມນີ້ສະຫຼຸບຈາກເວັບໄຊ [refactoring.guru](https://refactoring.guru/)
5 🔥 JavaScript Tricks that you should know
Tags: javascript, beginners, programming, tutorial
Published: 2022-12-27 05:44:45

JavaScript is a powerful and versatile programming language that is essential for any developer to know. It is used in a wide range of applications, from simple websites to complex web applications. There are many tricks and techniques that can help you write efficient and effective code in JavaScript. In this post, we will look at some of the most useful JavaScript tricks that every developer should know.

1) Using the ternary operator for concise conditional statements

_The ternary operator is a concise way to write conditional statements in JavaScript. It is made up of a question mark (?) and a colon (:). It works like this:_

`let result = condition ? value1 : value2;`

This code says that if the condition is true, the value of result will be value1. If the condition is false, the value of result will be value2.

_Here is an example of how to use the ternary operator:_
```js
let age = 25;
let canDrink = (age >= 21) ? 'Yes' : 'No';
console.log(canDrink); // Output: Yes
```

2) Using the spread operator to merge arrays and objects

_The spread operator (...) allows you to easily merge arrays or objects in JavaScript. It works like this:_

```js
let mergedArray = [...array1, ...array2];
let mergedObject = {...object1, ...object2};
```

_Here is an example of how to use the spread operator to merge arrays:_
```js
let array1 = [1, 2, 3];
let array2 = [4, 5, 6];
let mergedArray = [...array1, ...array2];
console.log(mergedArray); // Output: [1, 2, 3, 4, 5, 6]
```

3) Using the for-of loop to iterate over arrays and strings

_The for-of loop is a concise and easy-to-use loop that allows you to iterate over arrays and strings in JavaScript. It works like this:_

```js
for (let item of array) {
  // code to be executed
}
```

_Here is an example of how to use the for-of loop to iterate over an array:_
```js
let array = [1, 2, 3];
for (let item of array) {
  console.log(item); // Output: 1, 2, 3
}
```

4) Using arrow functions to write concise and expressive code

_Arrow functions are a concise and expressive way to write functions in Javascript. They have a shorter syntax than traditional functions and do not have their own this value. They work like this:_

```js
let functionName = (parameters) => {
  // code to be executed
};
```

_Here is an example of how to use arrow functions:_
```js
let add = (x, y) => {
  return x + y;
};
console.log(add(1, 2)); // Output: 3
```

5) Using the map() method to transform arrays

_The map() method allows you to transform an array by applying a function to each element of the array. It returns a new array with the transformed elements. It works like this:_
```js
let transformedArray = array.map(function
```
Create an Azure Data Factory, Storage ,Linked Service , Datasets , Pipeline using Bicep
Tags: azure, azuredatafactory, azuredataengineer, azurebicep
Published: 2022-12-27 05:44:27

This Demo describes how to use Bicep to create an Azure data factory. The pipeline you create in this data factory copies data from one folder to another folder in an Azure blob storage.
{% embed  https://youtu.be/aHBogGiR0rw %}
Hello World!
Tags: beginners, webdev, codenewbie
Published: 2022-12-27 05:30:13

Hey everyone! This is my first time in a coding community and I just wanted to reach out and say I am excited to interact with you all during our individual journeys. I am taking on my first challenge in "Frontend Mentor" and will update with my results ASAP so that we can connect and help each other grow. Happy coding! :)
Starting ThatRacingGame
Tags: gamedev
Published: 2022-12-27 05:04:32

Hello fellow game developers and sim racing fans!

I'm excited to announce the kick off of development on a new sim racing game titled 'That Racing Game'. It's been a long-time dream of mine to create somewhat of a realistic and immersive racing experience for players that's mixes elements of an MMO with full blown racing sim.

Now, let me preface this with a couple of warnings.

1. I have never made a MMO game before
2. I have never made a sim racing game before
3. Well... I have never actually developed a game before

I'm a software developer and systems architect by trade, and a racing enthusiast by nature.  So please, don't expect anything spectacular to be released from me any time soon (or possibly at all!).  But, never the less, I'm keen for a challenge, and keen to learn along the way, and I'm keen to share the highlights and lowlights of my journey.  

So over the next few months (more likely years), I'll be working hard to bring the my concept of that racing game to life, building out tracks, vehicles, and gameplay, and sim mechanics. I'll also be sharing regular updates on progress, so make sure to follow us for the latest news.

I'm pumped to embark on this journey and can't wait to see where it leads. Stay tuned for more updates!

Best regards,
ThatRacingGame Dev