@juicestore 釋出 TRAVIS SCOTT x FRAGMENT x AIR JORDAN 1 RETRO LOW 抽籤購買詳情: (繼續IN-STORE 影相 + 上網抽籤)
In-store raffle:
- JUICE Causeway Bay from August 16, 12PM HKT to August 18, 9PM HKT.
- Enter by taking a photo of our Travis Scott x Fragment Design x Air Jordan set up and upload it onto your Instagram as a post or story (account must be public) whilst tagging both @juicestore and @jumpman23.
-You MUST be wearing Travis Scott/ Fragment Design/ Nike Air Jordan item in your photo (apparel or footwear) to enter.
- Double-up your chance by taking an Instagram story of the setup and add our Travis Scott x Fragment Design x Air Jordan-inspired IG stickers (search #clotcrew and #juicestore in GIF search), tagging both @juicestore and @jumpman23.
- Scan the QR code provided at our store and enter your details, including your name, email, residential address, shoe size etc.
- Each customer may only enter the in-store raffle ONCE.
- Winners will be notified with payment and pick-up information on August 18, with in-store pick-up on August 19. Unsuccessful participants will not be notified. (Hong Kong in-store pick-up only)
- Winners MUST show their relevant record of participation (proof of their IG story or post) to our retail staffs. Those failing to do so will not be eligible for purchase.
Online Raffle:
- Enter at JUICESTORE.COM on August 16, 12PM HKT to August 18, 9PM HKT, for a chance to win the highly limited Fragment Design x Travis Scott x Air Jordan 1 Low OG. (Hong Kong in-store pick-up only)
- Winners will be notified on August 18 with payment and pick-up information for launch day, on August 19. Unsuccessful participants will not be notified.
同時也有5部Youtube影片,追蹤數超過3,390的網紅AhRay,也在其Youtube影片中提到,I posted the duck dancing on reddit and a lot of people seemed to like it. So I decided to recreated the whole Shuba Duck / Dancing Duck Oozora Subaru...
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Super size my mango!
Credit: gif-vif.com
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gif size 在 Taipei Ethereum Meetup Facebook 的最佳貼文
📜 [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
gif size 在 AhRay Youtube 的最讚貼文
I posted the duck dancing on reddit and a lot of people seemed to like it.
So I decided to recreated the whole Shuba Duck / Dancing Duck Oozora Subaru meme in Minecraft style.
Disclaimer: I only animated the characters, I didn't make the music nor the skin for the character.
Thanks to Hibikii on planetminecraft for letting me use her skin:
https://www.planetminecraft.com/skin/oozora-subaru-hololive-production
Link to the reddit post:https://www.reddit.com/r/MinecraftMemes/comments/oiv9b9/i_animated_shuba_duck_dance_with_a_minecraft_duck/
Q&A section
===========================================================
IT'S A CHICKEN, NOT A DUCK.
I know Minecraft doesn't have ducks, that's why I removed the wattle from the original Minecraft model and adjusted the body size to resemble more to a duck. So yeah... it's a duck now.
2. Origin of meme?
So this is a recreation of the Shuba Duck Dance, or Subaru and Duck Dance. Original 2D animation gif is here:https://twitter.com/KS_wktk/status/1370702788624142336
3. What software did I use?
I built the cap in Minecraft, used Mineways to import it into Blender. Animated the duck in Blender then rendered it out. I then downloaded a midi file of Hey Ya and converted it into a mp3 file in Minecraft Note Block Studio. I then edited it together in Premiere Pro.
4. I want it on wallpaper engine!
Here you go (Only duck):https://steamcommunity.com/sharedfiles/filedetails/?id=2545221909
5. Can I have a green screen version to make an emoji or use it in my videos?
Yes, feel free to use it but remember to credit me if you are posting it.
Here is the download link(Only duck): https://drive.google.com/file/d/1zbB9DCdGjz4IrJfPtFJZ0_xoz2_jsv_H/view?usp=sharing
#MinecraftAnimation #meme #duckdance

gif size 在 NotebookSPEC Youtube 的最讚貼文
ถ้าคุณต้องเจอกับเกมเมอร์ที่สูสีกัน ฝีมือไม่ต่างกันมาก แต่คุณต้องการชัยชนะที่เด็ดขาด นอกจากการฝึกฝนให้หนักขึ้น ฮาร์ดแวร์ที่ดีที่ทำให้คุณเล่นได้ลื่น ไม่สะดุด คืออีกหนทางแห่งชัยชนะ
Frame Win Game หรือ ความสำคัญของเฟรมเรตที่มีผลต่อการเล่นเกม ที่ทาง nVIDIA ให้เป็นนิยาม สำหรับเกมเมอร์ที่มีเป้าหมายและเป็นตัวกำหนดชัยชนะ จังหวะที่เกมสะดุดเพียงไม่กี่วินาที คุณอาจส่องเฮดช็อตหรือร่ายเวทย์ใหญ่ใส่คู่ต่อสู้ให้นอนตาย หรือกลายเป็นคุณเองที่ต้องมาเริ่มเกมใหม่ได้เช่นกัน ดังนั้นหากฝีมือสูสี จังหวะการเล่นที่ใกล้เคียงและอาวุธที่ใช้ไม่ได้ต่างกันมาก ความลื่นไหลของเฟรมเรต จะเป็นตัวกำหนดชัยชนะได้เลย
https://www.nvidia.com/en-us/geforce/campaigns/frames-win-games/
การ์ดจอ GIGABYTE AORUS RTX 3070 MASTER 8G
แนวความคิด - ตัวการ์ดเน้นความเป็นดิจิตอล ทั้งการวางฟังก์ชั่นแสง และดีไซน์ของตัวการ์ด ดูสวยงามลงตัว และให้ประสิทธิภาพที่โดดเด่น
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หน้าจอแสดงผล ที่รายงานอุณหภูมิของการ์ดได้อีกด้วย เรียกว่า LCD EDGE VIEW มีให้เลือก 5 โหมดด้วยกัน ไม่ว่าจะเป็น ENTHUSIAST, Text, Image, GIF และ Chibi time โดยปรับแต่งได้บนซอฟต์แวร์ RGB FUSION 2.0 นั่นเอง
RGB FUSION 2.0 - ยังช่วยให้คุณสามารถ Synchronize แสงไฟบนตัวการ์ดและเมนบอร์ดได้อีกด้วย ปรับแต่งโหมดแสงไฟได้แบบล้ำๆ บนพื้นฐาน 8 โพรไฟล์
Backplate - แบบเต็มด้านหลังการ์ด เพิ่มช่องระบายอากาศด้านหลัง เพื่อดันลมร้อนออกไป สบายๆ
นอกจากนี้ยังเพิ่มพลังด้วยการโอเวอร์คล็อกความเร็วสัญญาณนาฬิกา เพื่อรีดเฟรมเรตไปได้แบบสุดๆ สำหรับเกมที่คุณชื่นชอบได้อีกด้วย
สเปคที่ใช้ในการทดสอบ
ซีพียู Intel Core i5-10600K 6 core/ 12 thread บูสท์ได้ถึง 4.80GHz เป็นแบบ Unlocked โอเวอร์คล็อกได้สนุก
เมนบอร์ด GIGABYTE Z490-UD Ultra Durable ลูกเล่นเยอะ ฟีเจอร์แน่น เน้นประสิทธิภาพและการเชื่อมต่ออุปกรณ์ความเร็วสูง มาพร้อมภาคจ่ายไฟ 12-phase, มี Backplate I/O ด้านหลังมาในตัว, สล็อตที่มี Armor เสริมแกร่งเข้ามาให้ สำหรับใส่การ์ดจอตัวใหญ่ได้สบาย, รองรับ SSD M.2 PCIe ได้อีก 2 ชุด และการปรับ XMP บนแรมได้ถึง 4500MHz รวมถึงสนับสนุน PCIe 4.0 อีกด้วย และเทคโนโลยีที่จัดเต็มมาในทุกระบบ ไม่ว่าจะเป็น Smart Fan 5, RGB FUSION 2.0 และบรรดา ภาพจ่ายไฟ คาปาซิเตอร์คุณภาพสูง เพื่อการใช้งานที่ยาวนาน
แรม HyperX DDR4 3200 16GB
SSD Kingston 1TB
PSU 850W
Specification GIGABYTE AORUS RTX 3070 MASTER 8G
Core Clock - 1845 MHz (Reference Card: 1725 MHz)
CUDA® Cores - 5888
Memory Clock - 14000 MHz
Memory Size - 8 GB
Memory Type - GDDR6
Memory Bus - 256 bit
Memory Bandwidth (GB/sec) - 448 GB/s
Card Bus - PCI-E 4.0 x 16

gif size 在 GU ZAP Youtube 的最佳解答
รีวิว Tablet 2 in 1 ใช้ทำงานแทน notebook สบาย จอสวยถูกใจแน่นอน
พกง่ายเครื่องเบา ราคาตอนนี้ 9490.- ครบใช้ได้ทันที
ดูสินค้า สั่งซื้อ
http://www.zapsmp.com/p/282
้http://www.suc-seedshop.com
ติดตาม เข้าไปด่า พูดคุย ที่แฟนเพจ
http://www.facebook.com/smpformal
ติดต่อโฆษณา รีวิว
zapmobilephone@gmail.com
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PIPO W1S Tablet Specsifications:
*** มี Word/Excel/PPT Free For Life-Time
Model PIPO W1S Tablet PC
Color Black
Display IPS, 10.1 inch, 16:10 Retina Display 1920*1200 pixels Visible Angle 178°
OS Windows 10 (If you need Win 10 Pro,you need buy license key from Mircosoft)
CPU 64bit Intel Cherry Trail Z8300 quad core, 1.84GHz, 14nm
GPU Intel HD Graphics Gen8
ROM 64GB eMMC Toshiba
Support SD Card 128 GB !!!
RAM 4GB DDR3L-1600
Battery: 6800mAh
Dual Speaker
๊๊USB 3.0 x 2 ช่อง / Micro USB x 1 ช่อง
Camera Dual camera, front is 2.0 megapixels, back is 5.0 megapixels with AF
Card Extend Support
PIPO W1S Tablet PC General:
Video: 1080P, AVI/MOV/MP4/RMVB/FLV/MKV
Music: MP3/WMA/WAV/APE/AAC/ALAC/FLAC/OGG
Picture: JPG/BMP/GIF/PNG
WiFi Yes, 802.11 b/g/n
Bluetooth Yes, built in
OTG Support
HDMI Support
USB USB 3.0
Flash 11 Support
Earphone Interface 3.5mm
Multi-Touch Yes, 10 points touch
Language English, Chinese, etc
Other Applications ES File Explorer, Google Search, Google Maps, Browser, Gallery, Clock, Market, Calculator, Calendar, Video, Email, Gmail…
PIPO W1S Tablet Size: 258*173*9.8mm

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