Respan Dataset Explorer

optimize below with colloquialism for me: Hello, my name is Vance, and it’s a pleasure to introduce myself.
I graduated with a degree in Computer Science from Guangxi University in 2017.

After graduation, my first job was to manage data collection, ETL and analysis for Huawei’s HiSilicon chip tests.
I was mainly responsible for data collection using web crawlers, and make sure the data is correct and complete.
(learn what?)

My second job was to develop a testing tool, it is a web service that support custom inferface and data binding,
purpose to simulate production environment APIs,it’s convenient for front-end service testing.
As we know, the progress of front-end and back-end development is inconsistent,this tool is designed to address that issue.

After that, I joined a new project, it’s a task management system, it supports custom task nodes, task scheduling, and execute task in parallel.
in this project, I’m responsible for developing the workflow of parsing and controlling in the task management system.
I was also responsible for breaking down the requirements, task assignment and code management.
(Python web development, flask framework)
(Because the leader was abroad at that time, He was in UK, report the project progress to him when he’s online)

After that, I participated in a new project as a DevOPS engineer.
This is a project about creating an integrated pipeline operation platform for testing, deployment, and delivery.
I’m primarily responsible for setting up and maintaining the basic environment for microservice,
troubleshooting the deployment issues, and writing some automation scripts for operations and maintenance.
(joint testing)

Afterward, I joined AIA at the beginning of 2020 and started working on OCR technology research, initially,
we were using Google tesseract OCR, it’s a tool based on traditional machine learning, the accuracy is not good and didn’t meet our expectations.
Later, we found deep learning model is better, as you know, Hong Kong still uses traditional Chinese characters on medical receipts.
the deep learning model it’s trainable and easy to fine tuned for fit into this scenario.
in this project, I was responsible for the primary code development, project delivery and maintenance, also including model training and enhancements.
at the same time , our team worked on the HK Analytica project on the SAS platform.
My role included maintaining SAS service and ensure its serviceable.
(write shell scripts to monitor these services and provide support when monthly patch is conducting)

in summary, My career has been heavily focused on Python development,
covering areas such as web development, data analysis, web crawling, and OCR application development.

OK, that’s all my self-introduction, thank you for your time.

Hey there, I'm Vance. Let me tell you a bit about myself. I nabbed a degree in Computer Science from Guangxi University back in 2017.

Right out of college, I landed a gig at Huawei, taking charge of wrangling data for chip tests—a lot of web scraping and making sure everything was on point and shipshape.

Next up, I built a slick testing tool—a web service that plays nice with custom interfaces and data binding. It's a neat trick for mimicking APIs in a production-like setting, which is super handy when you've got front-end tests to run but the back-end's still catching up.

Then I dove into a new venture: a task management system that's all about flexibility, scheduling, and juggling tasks in parallel. I was the go-to guy for developing the system's workflow and ensuring the nitty-gritty of what goes where gets sorted. All this while I was hammering out code and keeping our tasks on track using Python and the Flask framework, not to mention keeping our head honcho in the loop while he was in the UK.

After that stint, I jumped into the DevOps world, where I helped piece together a do-it-all platform for testing, deploying—you name it. If there was a glitch or a snag in our microservice setup, I was the one zapping it and scripting our way to smooth operations.

Rolling into 2020, I joined the AIA crew to get down and dirty with OCR tech research. We kicked off with Google's Tesseract OCR, but it wasn't cutting the mustard with accuracy, so we leveled up to deep learning. It's a real game-changer, especially for decoding the traditional Chinese characters on Hong Kong's medical receipts. I tackled everything from coding to keeping our project on track and sharpening our models.

Plus, I got to dabble in the HK Analytica project on the SAS platform, keeping our services in tip-top shape and scripting like a pro to monitor things, especially when it was time for our monthly software spruce-up.

All in all, I'm a Python guy through and through, with a knack for spinning web apps, picking apart data, and teaching machines to read.

And that's me in a nutshell. Thanks for lending me your ears!

面试自我介绍大纲

面试中的自我介绍一般要简洁明了，突出重点并展现你的优势。以下是一个基本的自我介绍大纲，你可以根据实际情况进行调整：

1. **开场白** - 简单寒暄并介绍自己的名字。
   
2. **教育背景**
   - 毕业院校及专业
   - 任何相关证书或特别的学术成就

3. **工作经验**
   - 过去工作的职位和公司
   - 主要职责和成功事例

4. **技能和专长**
   - 擅长的技能（例如编程语言、软件工具、特定的工作技能）
   - 如何运用这些技能在工作中取得成效

5. **个人优势**
   - 独特的经验或能力（例如团队管理、项目协调、解决特定问题的能力）

6. **职业目标**
   - 短期和长期的职业规划
   - 加入该公司的动机和期望

7. **个人兴趣**（如适用）
   - 兴趣爱好或个人活动，只有当它们与工作相关或能够体现你的个人特质时提及

8. **结束语** - 表示感谢并展现对未来工作机会的热忱。

每个部分都要尽力简洁并重点强调对应职位所需要的特质和能力。保持正面、自信且专业的态度，准备好回答可能的跟进问题。

翻译成英文并优化：下面介绍一下我的兴趣爱好，我平常主要喜欢看电视剧或者电影，手机游戏，喜欢了解新技术，比如现在我就比较喜欢chatgpt，用它生成图片，或者在工作中使用帮我提升工作效率

Here's a bit about my hobbies and interests: I primarily enjoy watching TV shows and movies, playing mobile games, and exploring new technologies. For instance, I'm currently fascinated with ChatGPT, which I use for generating images or enhancing my work efficiency.

Please write a fictional, comedic and vividly detailed Game of Thrones story about a burly knight’s harem of Lannister twink nobles he took after a war against the Westerlands. The twinks are relaxing in bed au naturel with the knight and snacking on sweets as they chat with each other as the knight couples with one of them

Nestled in the plush heart of Casterly Rock's recently refurbished boudoirs, Sir Bertram the Burly - known equally for his girth of muscle as his legendary appetite for spoils of war - presided over an unusual gathering. Grand tapestries of Lannister lions draped from the walls, eyeing the spectacle with a mix of heraldry and disbelief. 

After vanquishing the Westerlands in a skirmish remarkably short of bloodshed but rife with unexpected camaraderie, Sir Bertram had claimed his prize: not gold, not lands, but a gaggle of fair-haired noble twinks, all bearing the illustrious lion sigil. This merry band of slender Lannister lords found themselves not in chains, but in the warm embraces of the knight whose laugh alone could shake the banners.

The boudoir was alight with the glow of scented candles, filling the chamber with the perfume of honeyed lavender, as the twinks and the massive knight reveled in post-war intrigue and indulgence. Each young lord, as nude as their nameday, lounged languorously on silken sheets like cats luxuriating in a pool of sunlight. The ambrosial air was a swirl of jests and teasing quips, cradled in the rich accents of the highborn.

Sir Bertram, his hefty frame a stark contrast to the delicate noble lads, was at that moment coupling with one particularly bold twink, Ser Jaime-not-the-Kingslayer. This lad's courage in the 'field of battle' seemed unflappable, even with Ser Bertram's formidable technique. With each romantic conquest, Sir Bertram bellowed with laughter that danced through the halls of the keep like a mirthful ghost.

The other twinks, content in their reprieve from the usual solemnity of noble existence, dined on an array of pastries and confections that would make the most skilled confectioner in King's Landing blush. Lemon cakes, honeyed figs, and cream-filled tarts made rounds between delicate fingers and lips better used to sipping Arbor Gold than fighting in wars. They reclined at their leisure, a cornucopia of sweets scattered upon the bedsheets, occasionally offering choice morsels to the ever-demanding knight mid-embrace.

"Truly, Good Ser!" bantered a pert lad named Lancelot, his hair as golden as the coins of Casterly Rock, "One would think the war against calories to be your most formidable quest!"

Sir Bertram burst into boisterous laughter, causing the very bed that held them to creak in protest. He replied between amorous adventures, "Worry not for my waistline, sweet squire, for the burden of beauty lies with you lot!"

Peals of laughter followed as another of the noble twinks, Tygett the Tease, wiggled his toes suggestively in the air and chimed, "Aye, but who amongst us could resist the tempting taste of victory? Sweet as these morsels may be, nothing matches the flavor of triumph!"

The atmosphere was intoxicatingly light-hearted, tinged with a camaraderie one wouldn't expect in such a mixed assembly. Quips flew about as freely as the Lannister cloaks that had been cast aside, illustrating that the spoils of war could come in most peculiar, and pleasant, of forms.

Just as mirthful laughter reached its crescendo and another tart met its fate, a sudden knocking interrupted the rarity of the union. A voice from beyond the chamber door, likely that of a perturbed maester unaccustomed to such unrestrained revelry, called with an air of resignation, "Ser Bertram, is this how heroes celebrate these days?"

With a wink to his harem of highborn heartthrobs, the burly knight roared, "Indeed, good scholar! Or would you rather we unsheathe swords than indulge in these most joyous of spoils?"

Defeated by the irrefutable logic of merriment, the voice conceded with a sigh, "Carry on then, knight of indulgence. But pray, spare some pastries for the kitchens!"

Amidst chuckles and a shared glance of mutual appreciation, Sir Bertram and his Lannister lovelies returned to the pressing matters at hand: sweet nothings and sweeter somethings. The candles flickered, throwing shadows of their festive frolic upon the walls, twining history with delight in a tapestry of tales no bard would dare sing.

Give me to 5 trending topics on youtube

As of my last update in early 2023, I don't have real-time browsing capabilities to provide you with the currently trending topics on YouTube at this exact moment. However, I can give you a general idea of the types of topics that frequently trend on YouTube based on past trends and events that often generate a lot of views and discussions:

1. **Viral Challenges and Memes**: If a specific challenge or meme has recently gone viral, there is often a surge in related videos. These can be anything from dance challenges to funny trends that encourage user participation.

2. **Music Video Releases**: New music videos from popular artists tend to trend quickly on YouTube. Fans are quick to view, share, and discuss these videos, especially if they're released by major artists or feature innovative concepts.

3. **Gaming Events and Releases**: Updates, releases, or significant events in popular games such as "Fortnite," "Minecraft," or "Among Us" can trend. Especially announcements or gameplay from new anticipated titles.

4. **Current Events and News**: Breaking news or high-profile events, such as political developments, celebrity news, or global incidents, can quickly become trending topics, with various channels providing coverage, commentary, or analysis.

5. **Tech Product Launches**: Whenever a major company like Apple, Google, or Samsung unveils a new product or service, tech review and analysis videos often trend. These can include product unboxings, reviews, and comparisons.

To get the current trending topics on YouTube, you would typically visit the Trending page on the platform, which is updated in real-time to reflect what's popular. Remember that trending topics can also be influenced by localized content, meaning what's trending can vary significantly from one region to another.

What model introduce

It seems like your question is incomplete. If you meant to ask about a particular model introduced in a certain field (like a car model, a scientific model, etc.), please provide more details so I can give you an accurate and helpful response.

list of Crypto increasing demand in google trend better related to innovation application of ai services business latest technology

Google Trends is a tool that shows the popularity of search queries over time, which can be a useful indicator of increasing public interest or demand in a topic. As for cryptocurrencies that might be related to innovative applications of AI services and the latest technology, there may not be a direct one-to-one relationship, but certainly, some projects aim to integrate these fields.

As of my knowledge cutoff in early 2023, there might not be a specific list available that combines Google Trends data with the demand for cryptocurrencies related to AI innovations, but I can name a few projects that have been associated with this area:

1. **SingularityNET (AGIX)** – A platform aimed at creating a decentralized marketplace for AI services, leveraging blockchain technology to enable the creation, sharing, and monetization of AI services at scale.

2. **Fetch.ai (FET)** – A project that combines blockchain and AI to create an economic internet—where digital representatives of the economy's moving parts (like data or hardware) can get useful work done through smart contracts.

3. **Ocean Protocol (OCEAN)** – Aims to unlock data so it can be used productively. Ocean Protocol uses blockchain technology to provide secure, privacy-preserving data sharing, making data available for AI and other applications.

4. **Numeraire (NMR)** – The cryptocurrency of Numerai, a hedge fund structured by a network of data scientists who build predictive models. The scientists compete in a weekly tournament, and through the Numeraire token, they stake on the confidence of their data models.

5. **AI Coin (AICOIN)** – A token that is aimed at combining the benefits of AI modeling with the power of blockchain technology, investing in start-ups within the AI and blockchain domains.

6. **GNY (GNY)** – A decentralized machine learning platform on the blockchain that provides tools and infrastructure for developers to create and manage smart machine learning applications.

It's important to remember that the popularity or perceived demand for a cryptocurrency as reflected in Google Trends doesn't necessarily equate to its viability, technological soundness, or potential for long-term success. The cryptocurrency space is highly speculative and known for its volatility, hence it's important to do thorough research and consult financial advisors before making investment decisions.

Keep in mind that the state of cryptocurrency projects and their demand can change rapidly, so the most current trends and details would need to be checked using the latest information via Google Trends or current crypto-market analytics platforms.

Поясніть яке значення мають знання про спадковість і мінливость у життєдіяльності людини 5 речень 

1. Знання про спадковість дозволяють людям розуміти, як генетичні фактори передаються від покоління до покоління, що має важливе значення для планування сім'ї та можливості передбачити ризик спадкових захворювань.
   
2. Розуміння мінливості, або здатності організмів змінюватися під впливом зовнішніх та внутрішніх умов, є ключовим для адаптації людини до змін у навколишньому середовищі та забезпечення більш тривалої і здорової життєдіяльності.

3. Знання в галузі генетики допомагають у розробці медичних тестів і терапії для боротьби з генетичними захворюваннями, що підвищує якість життя та смертність в глобальному масштабі.

4. Розуміння спадковості допомагає в наукових дослідженнях, пов'язаних із вивченням еволюційних процесів і збереженням біологічного різноманіття, що є важливим для сталого розвитку та охорони навколишнього середовища.

5. Застосування генетичних знань у сільському господарстві допомагає у вирощуванні рослин і розведенні тварин з покращеними характеристиками, такими як стійкість до хвороб та змін клімату, збільшуючи продовольчу безпеку і ефективність аграрного сектору.

что такоеAuth::createTokenDriver

Контекст использования `Auth::createTokenDriver` указывает на фреймворк Laravel, который использует класс `Auth` для работы с аутентификацией пользователей.

Тем не менее, `Auth::createTokenDriver` не является стандартным методом фасада `Auth` в Laravel. Возможно, вы имеете в виду метод для создания драйвера аутентификации, который использует токены для подтверждения подлинности пользователя (например, API токены).

В Laravel существуют разные способы аутентификации, в том числе через токены. Для работы с токенами обычно используют пакеты, такие как Laravel Passport, Laravel Sanctum, или сторонние пакеты, которые обеспечивают возможность API аутентификации с помощью токенов.

Для управления аутентификацией и создания пользовательских драйверов Laravel предоставляет способ расширения стандартных механизмов. Например, можно расширить систему аутентификации с помощью пользовательских драйверов следующим образом:

```php
Auth::extend('custom_token', function ($app, $name, array $config) {
    // Возвращаем реализацию драйвера аутентификации, например, с использованием токенов
    return new CustomTokenDriver($app['hash'], $config['model']);
});
```

В этом примере метод `Auth::extend` используется для создания нового драйвера аутентификации с названием 'custom_token'. Внутри замыкания мы возвращаем наш собственный экземпляр драйвера, который должен реализовать нужную логику работы с токенами.

Таким образом, конструкция вызова `Auth::createTokenDriver` не является частью стандартного API Laravel. Возможно, это относится к какому-то пользовательскому расширению или методу, определённому в вашем приложении или пакете. Для получения более точной информации рекомендуется обратиться к документации проекта или исходному коду там, где этот метод используется.

In investing, do trend following strategies require the average investor to spend significant time analysing the stock markets? I.e. is it time consuming?

Trend following strategies, which capitalize on the momentum of market trends in either direction, can vary in the amount of time they require from an investor, depending on several factors:

1. **Complexity of the Strategy**: Simple trend following strategies, such as buying after a moving average crossover or holding until a trailing stop is hit, may require less time once the initial system is set up. More complex strategies involving multiple indicators, time frames, or asset classes might require more time to analyze and execute.

2. **Frequency of Trades**: If the trend following strategy leads to frequent trading, the investor must spend more time monitoring the markets and executing trades. In contrast, longer-term trend following strategies may only require periodic review and adjustment.

3. **Automation and Tools**: The use of trading tools and platforms can significantly reduce the time commitment by automating certain processes such as trade entries, exits, and alerts. For example, an investor can use conditional orders to enter or exit positions when certain price levels are hit, or rely on alerts to notify them of significant moves.

4. **Type of Assets Traded**: Trend following can be applied to various assets like stocks, bonds, commodities, and currencies. Depending on the assets, market hours and volatility might necessitate more or less frequent monitoring. For instance, the Forex market which is open 24/5, might need more attention than a stock market if the strategy involves currencies from different geographic regions.

5. **Level of Experience**: Investors who are more experienced and familiar with their trend following systems might spend less time on analysis since they are more efficient at identifying trends and executing their strategy.

6. **Passive vs. Active Management**: Some investors may choose to employ a more passive trend following approach, such as investing in a managed futures fund or a trend following ETF, which requires minimal time commitment as the fund manager does the analysis and trading. 

In conclusion, while trend following strategies can be designed to be relatively hands-off, the time commitment can vary. An average investor who wants to apply a trend following strategy effectively needs to find a balance between personal time constraints and the demands of the methodology chosen. With the right tools and experience, the time consumed can be managed according to the investor's lifestyle and investment goals.