Learning vocabulary without an app or textbook 💖
I always suggest reading and writing as a great way to learn new vocabulary. The more of times you're exposed to a new word, the better you'll remember it. Today, I wanted to write about my mom's stamp collection in Hungarian. I didn't know the word "collect" and looked it up on an online dictionary.
Just 20 minutes later, I read an article about UX design. Then I saw the same word being used in the context of "collecting information".
Now I'll never forget the word - and I didn't even need to use an app or a textbook to learn it!
同時也有9部Youtube影片,追蹤數超過5萬的網紅家庭兄弟 Familybros,也在其Youtube影片中提到,我想大家在以前應該都叫他民俗風圖騰毛衣, 雖然這說法可能也不算錯, 但他的真正名稱現在就記起來吧! 裡面提到Aran Sweater有許多圖騰, 但流傳下來演化之後又有好幾個版本, 甚至同個圖騰還有兩種名稱, 但是常見的就如影片中所述, 我想如果有看完這部片, 大家之後看到Aran Sweater...
「article about design」的推薦目錄:
- 關於article about design 在 Facebook 的最佳貼文
- 關於article about design 在 矽谷牛的耕田筆記 Facebook 的最佳貼文
- 關於article about design 在 Taipei Ethereum Meetup Facebook 的精選貼文
- 關於article about design 在 家庭兄弟 Familybros Youtube 的最佳貼文
- 關於article about design 在 Lindie Botes Youtube 的最佳貼文
- 關於article about design 在 Ghost Island Media 鬼島之音 Youtube 的最佳解答
- 關於article about design 在 Articles on design 的評價
- 關於article about design 在 180 Design Articles ideas 的評價
- 關於article about design 在 Design Your Instant Articles 的評價
- 關於article about design 在 MIT Article, "Design thinking was supposed to fix the world." 的評價
article about design 在 矽谷牛的耕田筆記 Facebook 的最佳貼文
今天這篇文章探討的是 Uber 內部的架構以及系統設計。
Uber 最初是使用 Python 作為開發語言,並且基於 monolithic 的架構來開發前後端。 2014 之後,Uber 將架構給轉移到 service-oriented 的架構。
Uber 的業務(Taxi,Eats)基本上是一種 Demand <---> Supply 邏輯的業務,以叫車服務就是如何將叫車的使用者與開車的司機給媒合。基於業務可以分類出系統需要兩個服務,分別是
Deman 服務以及 Supply 服務。
這兩個服務會串接系統內的 DISCO(Dispatch Optimization), 該服務基於 Map&Location 等資料來進行處理,但是這兩種資料搭配經緯度要處理實在麻煩,因此該服務使用 Google S2 函式庫來處理。
文章中介紹非常多 DISCO 如何處理地點相關的資料,如何有效率地幫司機跟使用者給媒合,有興趣的可以
點選原文閱讀。
除了媒合系統外,文章中還介紹了如何處理 Payment fraud 這類型的問題,全文非常長,有興趣的可以細讀
而這邊列出文章提到的各種專案
1. PostgreSQL -> MySQL (文章中有另外一篇連結探討為什麼轉移)
2. RDBMS/HDFS
3. KAFKA
https://medium.com/nerd-for-tech/uber-architecture-and-system-design-e8ac26690dfc
article about design 在 Taipei Ethereum Meetup Facebook 的精選貼文
📜 [專欄新文章] Uniswap v3 Features Explained in Depth
✍️ 田少谷 Shao
📥 歡迎投稿: https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium
Once again the game-changing DEX 🦄 👑
Image source: https://uniswap.org/blog/uniswap-v3/
Outline
0. Intro1. Uniswap & AMM recap2. Ticks 3. Concentrated liquidity4. Range orders: reversible limit orders5. Impacts of v36. Conclusion
0. Intro
The announcement of Uniswap v3 is no doubt one of the most exciting news in the DeFi place recently 🔥🔥🔥
While most have talked about the impact v3 can potentially bring on the market, seldom explain the delicate implementation techniques to realize all those amazing features, such as concentrated liquidity, limit-order-like range orders, etc.
Since I’ve covered Uniswap v1 & v2 (if you happen to know Mandarin, here are v1 & v2), there’s no reason for me to not cover v3 as well ✅
Thus, this article aims to guide readers through Uniswap v3, based on their official whitepaper and examples made on the announcement page. However, one needs not to be an engineer, as not many codes are involved, nor a math major, as the math involved is definitely taught in your high school, to fully understand the following content 😊😊😊
If you really make it through but still don’t get shxt, feedbacks are welcomed! 🙏
There should be another article focusing on the codebase, so stay tuned and let’s get started with some background noise!
1. Uniswap & AMM recap
Before diving in, we have to first recap the uniqueness of Uniswap and compare it to traditional order book exchanges.
Uniswap v1 & v2 are a kind of AMMs (automated market marker) that follow the constant product equation x * y = k, with x & y stand for the amount of two tokens X and Y in a pool and k as a constant.
Comparing to order book exchanges, AMMs, such as the previous versions of Uniswap, offer quite a distinct user experience:
AMMs have pricing functions that offer the price for the two tokens, which make their users always price takers, while users of order book exchanges can be both makers or takers.
Uniswap as well as most AMMs have infinite liquidity¹, while order book exchanges don’t. The liquidity of Uniswap v1 & v2 is provided throughout the price range [0,∞]².
Uniswap as well as most AMMs have price slippage³ and it’s due to the pricing function, while there isn’t always price slippage on order book exchanges as long as an order is fulfilled within one tick.
In an order book, each price (whether in green or red) is a tick. Image source: https://ftx.com/trade/BTC-PERP
¹ though the price gets worse over time; AMM of constant sum such as mStable does not have infinite liquidity
² the range is in fact [-∞,∞], while a price in most cases won’t be negative
³ AMM of constant sum does not have price slippage
2. Tick
The whole innovation of Uniswap v3 starts from ticks.
For those unfamiliar with what is a tick:
Source: https://www.investopedia.com/terms/t/tick.asp
By slicing the price range [0,∞] into numerous granular ticks, trading on v3 is highly similar to trading on order book exchanges, with only three differences:
The price range of each tick is predefined by the system instead of being proposed by users.
Trades that happen within a tick still follows the pricing function of the AMM, while the equation has to be updated once the price crosses the tick.
Orders can be executed with any price within the price range, instead of being fulfilled at the same one price on order book exchanges.
With the tick design, Uniswap v3 possesses most of the merits of both AMM and an order book exchange! 💯💯💯
So, how is the price range of a tick decided?
This question is actually somewhat related to the tick explanation above: the minimum tick size for stocks trading above 1$ is one cent.
The underlying meaning of a tick size traditionally being one cent is that one cent (1% of 1$) is the basis point of price changes between ticks, ex: 1.02 — 1.01 = 0.1.
Uniswap v3 employs a similar idea: compared to the previous/next price, the price change should always be 0.01% = 1 basis point.
However, notice the difference is that in the traditional basis point, the price change is defined with subtraction, while here in Uniswap it’s division.
This is how price ranges of ticks are decided⁴:
Image source: https://uniswap.org/whitepaper-v3.pdf
With the above equation, the tick/price range can be recorded in the index form [i, i+1], instead of some crazy numbers such as 1.0001¹⁰⁰ = 1.0100496621.
As each price is the multiplication of 1.0001 of the previous price, the price change is always 1.0001 — 1 = 0.0001 = 0.01%.
For example, when i=1, p(1) = 1.0001; when i=2, p(2) = 1.00020001.
p(2) / p(1) = 1.00020001 / 1.0001 = 1.0001
See the connection between the traditional basis point 1 cent (=1% of 1$) and Uniswap v3’s basis point 0.01%?
Image source: https://tenor.com/view/coin-master-cool-gif-19748052
But sir, are prices really granular enough? There are many shitcoins with prices less than 0.000001$. Will such prices be covered as well?
Price range: max & min
To know if an extremely small price is covered or not, we have to figure out the max & min price range of v3 by looking into the spec: there is a int24 tick state variable in UniswapV3Pool.sol.
Image source: https://uniswap.org/whitepaper-v3.pdf
The reason for a signed integer int instead of an uint is that negative power represents prices less than 1 but greater than 0.
24 bits can cover the range between 1.0001 ^ (2²³ — 1) and 1.0001 ^ -(2)²³. Even Google cannot calculate such numbers, so allow me to offer smaller values to have a rough idea of the whole price range:
1.0001 ^ (2¹⁸) = 242,214,459,604.341
1.0001 ^ -(2¹⁷) = 0.000002031888943
I think it’s safe to say that with a int24 the range can cover > 99.99% of the prices of all assets in the universe 👌
⁴ For implementation concern, however, a square root is added to both sides of the equation.
How about finding out which tick does a price belong to?
Tick index from price
The answer to this question is rather easy, as we know that p(i) = 1.0001^i, simply takes a log with base 1.0001 on both sides of the equation⁴:
Image source: https://www.codecogs.com/latex/eqneditor.php
Let’s try this out, say we wanna find out the tick index of 1000000.
Image source: https://ncalculators.com/number-conversion/log-logarithm-calculator.htm
Now, 1.0001¹³⁸¹⁶² = 999,998.678087146. Voila!
⁵ This formula is also slightly modified to fit the real implementation usage.
3. Concentrated liquidity
Now that we know how ticks and price ranges are decided, let’s talk about how orders are executed in a tick, what is concentrated liquidity and how it enables v3 to compete with stablecoin-specialized DEXs (decentralized exchange), such as Curve, by improving the capital efficiency.
Concentrated liquidity means LPs (liquidity providers) can provide liquidity to any price range/tick at their wish, which causes the liquidity to be imbalanced in ticks.
As each tick has a different liquidity depth, the corresponding pricing function x * y = k also won’t be the same!
Each tick has its own liquidity depth. Image source: https://uniswap.org/blog/uniswap-v3/
Mmm… examples are always helpful for abstract descriptions 😂
Say the original pricing function is 100(x) * 1000(y) = 100000(k), with the price of X token 1000 / 100 = 10 and we’re now in the price range [9.08, 11.08].
If the liquidity of the price range [11.08, 13.08] is the same as [9.08, 11.08], we don’t have to modify the pricing function if the price goes from 10 to 11.08, which is the boundary between two ticks.
The price of X is 1052.63 / 95 = 11.08 when the equation is 1052.63 * 95 = 100000.
However, if the liquidity of the price range [11.08, 13.08] is two times that of the current range [9.08, 11.08], balances of x and y should be doubled, which makes the equation become 2105.26 * 220 = 400000, which is (1052.63 * 2) * (110 * 2) = (100000 * 2 * 2).
We can observe the following two points from the above example:
Trades always follow the pricing function x * y = k, while once the price crosses the current price range/tick, the liquidity/equation has to be updated.
√(x * y) = √k = L is how we represent the liquidity, as I say the liquidity of x * y = 400000 is two times the liquidity of x * y = 100000, as √(400000 / 100000) = 2.
What’s more, compared to liquidity on v1 & v2 is always spread across [0,∞], liquidity on v3 can be concentrated within certain price ranges and thus results in higher capital efficiency from traders’ swapping fees!
Let’s say if I provide liquidity in the range [1200, 2800], the capital efficiency will then be 4.24x higher than v2 with the range [0,∞] 😮😮😮 There’s a capital efficiency comparison calculator, make sure to try it out!
Image source: https://uniswap.org/blog/uniswap-v3/
It’s worth noticing that the concept of concentrated liquidity was proposed and already implemented by Kyper, prior to Uniswap, which is called Automated Price Reserve in their case.⁵
⁶ Thanks to Yenwen Feng for the information.
4. Range orders: reversible limit orders
As explained in the above section, LPs of v3 can provide liquidity to any price range/tick at their wish. Depending on the current price and the targeted price range, there are three scenarios:
current price < the targeted price range
current price > the targeted price range
current price belongs to the targeted price range
The first two scenarios are called range orders. They have unique characteristics and are essentially fee-earning reversible limit orders, which will be explained later.
The last case is the exact same liquidity providing mechanism as the previous versions: LPs provide liquidity in both tokens of the same value (= amount * price).
There’s also an identical product to the case: grid trading, a very powerful investment tool for a time of consolidation. Dunno what’s grid trading? Check out Binance’s explanation on this, as this topic won’t be covered!
In fact, LPs of Uniswap v1 & v2 are grid trading with a range of [0,∞] and the entry price as the baseline.
Range orders
To understand range orders, we’d have to first revisit how price is discovered on Uniswap with the equation x * y = k, for x & y stand for the amount of two tokens X and Y and k as a constant.
The price of X compared to Y is y / x, which means how many Y one can get for 1 unit of X, and vice versa the price of Y compared to X is x / y.
For the price of X to go up, y has to increase and x decrease.
With this pricing mechanism in mind, it’s example time!
Say an LP plans to place liquidity in the price range [15.625, 17.313], higher than the current price of X 10, when 100(x) * 1000(y) = 100000(k).
The price of X is 1250 / 80 = 15.625 when the equation is 80 * 1250 = 100000.
The price of X is 1315.789 / 76 = 17.313 when the equation is 76 * 1315.789 = 100000.
If now the price of X reaches 15.625, the only way for the price of X to go even higher is to further increase y and decrease x, which means exchanging a certain amount of X for Y.
Thus, to provide liquidity in the range [15.625, 17.313], an LP needs only to prepare 80 — 76 = 4 of X. If the price exceeds 17.313, all 4 X of the LP is swapped into 1315.789 — 1250 = 65.798 Y, and then the LP has nothing more to do with the pool, as his/her liquidity is drained.
What if the price stays in the range? It’s exactly what LPs would love to see, as they can earn swapping fees for all transactions in the range! Also, the balance of X will swing between [76, 80] and the balance of Y between [1250, 1315.789].
This might not be obvious, but the example above shows an interesting insight: if the liquidity of one token is provided, only when the token becomes more valuable will it be exchanged for the less valuable one.
…wut? 🤔
Remember that if 4 X is provided within [15.625, 17.313], only when the price of X goes up from 15.625 to 17.313 is 4 X gradually swapped into Y, the less valuable one!
What if the price of X drops back immediately after reaching 17.313? As X becomes less valuable, others are going to exchange Y for X.
The below image illustrates the scenario of DAI/USDC pair with a price range of [1.001, 1.002] well: the pool is always composed entirely of one token on both sides of the tick, while in the middle 1.001499⁶ is of both tokens.
Image source: https://uniswap.org/blog/uniswap-v3/
Similarly, to provide liquidity in a price range < current price, an LP has to prepare a certain amount of Y for others to exchange Y for X within the range.
To wrap up such an interesting feature, we know that:
Only one token is required for range orders.
Only when the current price is within the range of the range order can LP earn trading fees. This is the main reason why most people believe LPs of v3 have to monitor the price more actively to maximize their income, which also means that LPs of v3 have become arbitrageurs 🤯
I will be discussing more the impacts of v3 in 5. Impacts of v3.
⁷ 1.001499988 = √(1.0001 * 1.0002) is the geometric mean of 1.0001 and 1.0002. The implication is that the geometric mean of two prices is the average execution price within the range of the two prices.
Reversible limit orders
As the example in the last section demonstrates, if there is 4 X in range [15.625, 17.313], the 4 X will be completely converted into 65.798 Y when the price goes over 17.313.
We all know that a price can stay in a wide range such as [10, 11] for quite some time, while it’s unlikely so in a narrow range such as [15.625, 15.626].
Thus, if an LP provides liquidity in [15.625, 15.626], we can expect that once the price of X goes over 15.625 and immediately also 15.626, and does not drop back, all X are then forever converted into Y.
The concept of having a targeted price and the order will be executed after the price is crossed is exactly the concept of limit orders! The only difference is that if the range of a range order is not narrow enough, it’s highly possible that the conversion of tokens will be reverted once the price falls back to the range.
As price ranges follow the equation p(i) = 1.0001 ^ i, the range can be quite narrow and a range order can thus effectively serve as a limit order:
When i = 27490, 1.0001²⁷⁴⁹⁰ = 15.6248.⁸
When i = 27491, 1.0001²⁷⁴⁹¹ = 15.6264.⁸
A range of 0.0016 is not THAT narrow but can certainly satisfy most limit order use cases!
⁸ As mentioned previously in note #4, there is a square root in the equation of the price and index, thus the numbers here are for explantion only.
5. Impacts of v3
Higher capital efficiency, LPs become arbitrageurs… as v3 has made tons of radical changes, I’d like to summarize my personal takes of the impacts of v3:
Higher capital efficiency makes one of the most frequently considered indices in DeFi: TVL, total value locked, becomes less meaningful, as 1$ on Uniswap v3 might have the same effect as 100$ or even 2000$ on v2.
The ease of spot exchanging between spot exchanges used to be a huge advantage of spot markets over derivative markets. As LPs will take up the role of arbitrageurs and arbitraging is more likely to happen on v3 itself other than between DEXs, this gap is narrowed … to what extent? No idea though.
LP strategies and the aggregation of NFT of Uniswap v3 liquidity token are becoming the blue ocean for new DeFi startups: see Visor and Lixir. In fact, this might be the turning point for both DeFi and NFT: the two main reasons of blockchain going mainstream now come to the alignment of interest: solving the $$ problem 😏😏😏
In the right venue, which means a place where transaction fees are low enough, such as Optimism, we might see Algo trading firms coming in to share the market of designing LP strategies on Uniswap v3, as I believe Algo trading is way stronger than on-chain strategies or DAO voting to add liquidity that sort of thing.
After reading this article by Parsec.finance: The Dex to Rule Them All, I cannot help but wonder: maybe there is going to be centralized crypto exchanges adopting v3’s approach. The reason is that since orders of LPs in the same tick are executed pro-rata, the endless front-running speeding-competition issue in the Algo trading world, to some degree, is… solved? 🤔
Anyway, personal opinions can be biased and seriously wrong 🙈 I’m merely throwing out a sprat to catch a whale. Having a different voice? Leave your comment down below!
6. Conclusion
That was kinda tough, isn’t it? Glad you make it through here 🥂🥂🥂
There are actually many more details and also a huge section of Oracle yet to be covered. However, since this article is more about features and targeting normal DeFi users, I’ll leave those to the next one; hope there is one 😅
If you have any doubt or find any mistake, please feel free to reach out to me and I’d try to reply AFAP!
Stay tuned and in the meantime let’s wait and see how Uniswap v3 is again pioneering the innovation of DeFi 🌟
Uniswap v3 Features Explained in Depth was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.
👏 歡迎轉載分享鼓掌
article about design 在 家庭兄弟 Familybros Youtube 的最佳貼文
我想大家在以前應該都叫他民俗風圖騰毛衣,
雖然這說法可能也不算錯,
但他的真正名稱現在就記起來吧!
裡面提到Aran Sweater有許多圖騰,
但流傳下來演化之後又有好幾個版本,
甚至同個圖騰還有兩種名稱,
但是常見的就如影片中所述,
我想如果有看完這部片,
大家之後看到Aran Sweater就可以唸出上面的圖騰名稱了~
這次下定決心要找Aran Sweater,
找到的資料量實在太龐大,
但要全塞又會讓整部片太長,
所以非常精簡講述了他的歷史,
我覺得還算是簡明扼要啦!
為了做這部我收集了許多外文資料,
而且有些還包含特定立場還續要去釐清,
大多數的敘述我至少會確認兩個網站以上有陳述過才會放入,
所以我想我這部影片內容大多數的可信度還蠻高的。
這樣整理下來,我想應該幾乎可以是說是中文最詳盡資料了吧哈哈
希望大家可以因為這部影片而多了解這款毛衣,
畢竟這款毛衣真的是經典款,
各大品牌也是定期在出這個款式,
但是卻沒有什麼人在討論他這也真的是蠻奇妙的XD
老樣子如果影片中有任何有問題的部分,
也非常歡迎在留言中告知,
我會在這邊補上正確資訊的!
影片中提到在MOMA展出的片段
https://youtu.be/1HQBHONu0J8
當地的Aran Sweater店家
https://www.aransweatermarket.com/
如果喜歡我們的影片記得按讚分享訂閱喔!
以上感謝大家收看!
_____________________________
Facebook ► https://www.fb.com/wwwfamilybroscom
Instagram ►https://www.instagram.com/fmbs.wear
Website ►http://www.familybros.com/
Instagram家►https://www.instagram.com/onuswc
Instagram庭►https://www.instagram.com/yeahkwt/
Wear家 ►https://wear.jp/onus/
Wear庭 ►https://wear.jp/waitingk/
Email ►Familybros@hotmail.com
資料來源:
https://www.wcmt.org.uk/sites/default/files/report-documents/Rohana%20Darlington%20Poster_0.pdf
https://www.youtube.com/watch?v=1HQBHONu0J8&list=PLgWkDhVVjaubErtjLo4atSPrCkOgfc0gE
https://zhtw.actince.com/%E4%BA%9E%E8%98%AD%E7%B7%A8%E7%B9%94/
https://inismeain.ie/about/
https://www.metropolismag.com/design/moma-fashion-modern/pic/30185/
https://www.ucd.ie/irishfolklore/en/
https://www.irishmirror.ie/lifestyle/fashion-beauty/aran-jumper-chosen-one-worlds-10925325
https://en.wikipedia.org/wiki/Aran_Islands
https://en.wikipedia.org/wiki/Congested_Districts_Board_for_Ireland
https://fringeassociation.com/2016/08/12/swatch-of-the-month-august-16-aran-cable-sweater-history/
https://www.aransweatermarket.com/
https://www.blarney.com/the-story-of-aran-sweater/
https://en.wikipedia.org/wiki/Aran_knitting_patterns
https://www.dochara.com/info/things-to-buy/aran-stitches-and-their-meanings/
https://www.theirishstore.com/blog/9-things-know-buying-aran-sweater/
https://www.sweatershop.com/blog/history-of-aran-sweaters
https://www.interweave.com/article/knitting/set-in-sleeves-top-down/
https://web.archive.org/web/20071027131353/http://www.vam.ac.uk/collections/fashion/features/knitting/regional/index.html
https://www.rosemaryroche.com/blog/arans-and-icons
https://www.shamrockgift.com/blog/aran-sweater-history-myth/
https://www.knittingfree.com/meanings-attributed-aran-knitting-stitches/
https://www.irish-genealogy-toolkit.com/aran-sweaters.html
https://thewildgeese.irish/profiles/blogs/9-things-you-need-to-know-before-buying-an-aran-sweater
https://en.wikipedia.org/wiki/Book_of_Kells
https://fringeassociation.com/2016/08/12/swatch-of-the-month-august-16-aran-cable-sweater-history/
http://knittingcurmudgeon.blogspot.com/2004/02/
https://en.wikipedia.org/wiki/The_Clancy_Brothers
圖片來源:
https://oconnellsclothing.com/sweaters/o-connell-s-irish-fisherman-aran-sweater-natural-aran-fisherman-natl.html
https://dlpng.com/png/6462655
https://en.wikipedia.org/wiki/Aran_Islands
https://en.wikipedia.org/wiki/Congested_Districts_Board_for_Ireland
https://www.guernseywoollens.com/collections/traditonal-guernsey-jumpers
https://agnautacouture.com/2016/10/02/the-gansey-originally-designed-for-fishermen/
http://woollinn.com/exploring-irish-aran-with-vawn-corrigan/
https://en.wikipedia.org/wiki/Digby_Morton
https://www.ravelry.com/patterns/sources/vogue-knitting-fall-winter-1956/patterns
http://www.aransweaters.org/aran-sweaters/aran-sweater-joins-list-of-iconic-fashion-pieces-in-new-york/
https://www.pinterest.com/pin/145452262935270803/
https://www.pinterest.com/pin/275493702179478660/
https://therake.com/stories/style/style-101-cable-knit-sweater/
https://www.levi.com/US/en_US/blog/article/levis-at-the-museum-of-modern-art/
https://wellmadeclothes.com/articles/MomaExhibition/
https://www.surfacemag.com/articles/moma-is-fashion-modern-behind-the-scenes/
https://www.pinterest.com/pin/383580093242022848/
https://fringeassociation.com/2016/08/12/swatch-of-the-month-august-16-aran-cable-sweater-history/
https://www.123rf.com/photo_36085972_knitted-fabric-texture-close-up-beige-color-aran-sweater-.html
https://blog.knitpicks.com/stitch-story-aran-islands/
https://www.sweatershop.com/blog/ultimate-guide-aran-sweater
https://aranislandsknitwear.com/product/intricately-patterned-shawl-neck-aran-sweater/
https://www.thesprucecrafts.com/moss-stitch-lap-afghan-2116206
https://www.realmenrealstyle.com/the-aran-sweater/
https://www.amazon.com/Riders-Sea-Play-One-Act/dp/1530611903
https://www.concordplayers.org/00productions/PastProd/RidersToTheSea.html
https://www.barnesandnoble.com/w/aran-knitting-alice-starmore/1110925939
https://www.goodreads.com/author/show/93324.Alice_Starmore
https://www.centreculturelirlandais.com/en/agenda/man-of-aran
https://www.cinemaparadiso.co.uk/rentals/man-of-aran-14277.html
http://www.rohanadarlington.com/
https://www.pinterest.com/pin/359795457706675090/
article about design 在 Lindie Botes Youtube 的最佳貼文
Thank you all for all the cool questions on Instagram! I tried to answer as many as I could. Some highlights that you can expect...
- when to speaking learning a language
- balancing multiple languages
- how I got into UI/UX design
- what language I'll teach my kids
- how to practice Chinese writing
- and moreeee!
? On the top left of the screen you'll see the question theme so you can easily navigate between answers.
? Things mentioned in the video:
- Skritter app for Chinese & Japanese (10% discount applied): https://skritter.com/?ref=lindiebotes&coupon=CHINESEWITHLINDIE
- How to make time for languages (article) https://medium.com/@lindiebotes/how-to-fit-language-learning-into-a-busy-schedule-6592d8a2a637
- How to learn Chinese (blog post) https://lindiebotes.com/2020/06/26/how-to-learn-chinese-characters/
- How to learn multiple languages video: https://www.youtube.com/watch?v=tdPvYrhc7u8
YouTubers mentioned
Farawaydistance, Femke, Polyglot Progress, John Piper, Alisa Childers
———
?SOCIALS
Insta → https://www.instagram.com/lindiebotes/
Website & resources → http://lindiebotes.com/
Twitter → https://twitter.com/lindiebee
FB → https://www.facebook.com/lindiebotesvideos/
Buy me a coffee → https://ko-fi.com/lindiebotes#
Book a session to chat → https://superpeer.com/lindiebotes
?ABOUT
Welcome to my channel! My name is Lindie and I share my love for languages through my polyglot progress and language learning tips here. South African by birth, I spent most of my life in France, Pakistan, the UAE and Japan. Now I work as a UI/UX designer in Singapore. I'm a Christian and strive to shine God’s light in all I do. May this channel inspire you to reach your language goals!
New here? Best videos → https://www.youtube.com/playlist?list=PLRCVN94KILKXGx45JKaVBSpPkrpXhrhRe
FAQ → https://lindiebotes.com/faq/
?EQUIPMENT
Camera → https://geni.us/CanonPowerShotG7
Mic → https://geni.us/RodeSmartLavMicr
Tripod → https://geni.us/ManfrottoTravel
———
Some links are affiliate links, and a percentage goes towards supporting my channel.
Collabs & partnerships: hello@lindiebotes.com
article about design 在 Ghost Island Media 鬼島之音 Youtube 的最佳解答
What is it like working for giant corporations? What is it like holding corporate executives responsible for their impact on society? Nature N8 sits down with Christine Bader, former head of CSR for Amazon, and before that, a long-term employee at BP.
We discuss how Christine’s experiences in Indonesia, China, and the U.K. led her to revelations about sustainability and work culture, and where we can begin to think about the life we really want. Now, Christine is the co-founder of The Life I Want, a story-telling project reimagining a future of work that works for all.
Here are references discussed in the episode:
+ New project by Christine: “The Life I want” (2018): https://www.thelifeiwant.co/
+ Reuters article by Christine: Commentary: Red Hen, Microsoft and the power of workplace activism (2018): https://www.reuters.com/article/us-bader-activism-commentary/commentary-red-hen-microsoft-and-the-power-of-workplace-activism-idUSKBN1JO29K
+ NYT article by Christine: The Year I Learned to Quit (2018): https://www.nytimes.com/2018/04/27/well/the-year-i-learned-to-quit.html
+ Book by Christine: “Evolution of a Corporate Idealist: When Girl Meets Oil” (2014): https://www.amazon.com/Evolution-Corporate-Idealist-When-Meets/dp/1937134881/
+ NYT article by John Elkington Opinion | Going Green (2012): https://www.nytimes.com/2012/06/22/opinion/global-agenda-magazine-going-green.html
+ A book by Wayne Muller: A Life of Being, Having, and Doing Enough (2011): https://www.amazon.com/Life-Being-Having-Doing-Enough/dp/0307591395
WASTE NOT WHY NOT
Support us on Patreon:
http://patreon.com/wastenotwhynot
Subscribe to our newsletter:
https://wastenotwhynot.substack.com/
Follow us on Twitter:
https://twitter.com/wastenotpod
Send your questions to:
ask@wastenotwhynot.com
SHOW CREDIT
Emily Y. Wu (Producer / Editing)
https://twitter.com/emilyywu
Nate Maynard (Producer)
https://twitter.com/N8MAY
Yu-Chen Lai (Production Assistant / Editing)
https://twitter.com/aGuavaEmoji
Thomas Lee (Brand Design)
Ghost Island Media (Production Company)
https://twitter.com/ghostislandme
www.ghostisland.media
MB01WR8IJHWPCOG
article about design 在 180 Design Articles ideas 的推薦與評價
Mar 27, 2017 - Design articles worth reading. See more ideas about article design, design, worth reading. ... <看更多>
article about design 在 Design Your Instant Articles 的推薦與評價
Then explore Instant Articles' ability to add unique dynamic, responsive enhancements to media in any article. Finally, familiarize yourself with our design ... ... <看更多>
article about design 在 Articles on design 的推薦與評價
... of Art and De's board "Articles on design", followed by 534 people on Pinterest. See more ideas about design, psychedelic artists, portfolio website design. ... <看更多>