Taipei.py 六月聚會 (Monthly Meeting of June)

Previous Speaker has family issue. so the speaker changed.

sorry for the inconvenience.

大家好，之前的講者 Denny Lee 因為家庭因素不克前來，所以會臨時換主題，新的講題會近日補上。

新的講者的題目的草稿如下：

Tim Hsu

題目: Easy Mistake in Python.

以這次 PyCon TW 2016 (http://www.slideshare.net/tim518/python50) 的演講為主，再加上一點修改跟補充。

TP:

題目：pynsist

Build Windows installers for Python applications.

David Mikolas

The Physics of the IoT: (Python and the physical reality behind power, antenna, frequency and data rate issues)

In Elon Musk’s 2013 TED talk 1 which has subtitles in Chinese and 29 other languages, he talks about first principles reasoning vs reasoning by analogy, “…boil things down to their fundamental truths and reason up from there.”

Tesla is on their third model of completely electric car, have a major energy distribution network, and their cars can already drive by themselves (in some situations). In 2015 total sales surpassed 100,000 cars 2. Since 2012 Space-X has had over 20 commercial launches for paying customers 3 and they have landed the first stage back on earth four times, three of them on a small boat in the middle of the ocean!

Why? Physics! Instead of trying to build electric cars or rockets by analogy - Musk started from first principles of physics.

So whatever the “IoT” means to you, the “T’s” will need “I”, and at least one of the following: [power, antennas, data transmission].

Let’s look at the issues of power, antenna, frequency and data rate from a first principles physics point of view for a change. How do they (actually) work, what are the current and fundamental limitations, what else is possible - physically?

Of course I’ll be using Python throughout - we’ll do some basic Electromagnetic wave solutions for antennas and propagation vs frequency, and look at some of the ways Python is involved with the LoRa standard and hardware. See LoPy 5 for example.

「物聯網」物理：(Python 和供電、天線、頻率和資料傳輸率的物理現實)

伊隆·馬斯克(Elon Musk)在2013年TED 演講裡討論到原理性推理是如何地不同於類比推理：「把事情抽絲剝繭到剩下根本的真理， 從而建構推理」。本演講附有中文和其他二十九種語言的字幕。

特斯拉(Tesla)的完全電動房車已來到第三款, 有主要的能源分配網絡, 在特定情況下車子也已經能夠自動駕駛. 2015年的總銷售量突破了十萬輛. 另一方面, Space-X從2012年起已為付費客戶營業性的發射了超過二十次, 也讓一級火箭降落回來地球四次, 其中三次還降落在大海中的一搜小船上!

原因呢? 是物理! 伊隆·馬斯克正是以物理基本原理為出發點嘗試創造出電動車和火箭, 而不是以類推得來.

因此不管「物聯網」對你的意義為何,「物」就是需要有「聯網」 和以下其中一項: 功率, 天線, 數據傳輸.

現在我們套用物理基本原理的觀點來檢視: 供電、天線和數據傳輸. 其物理上是如何運作? 現今有何根本上的限制? 有何其他可能性?

當然我們會一直用到Python-- 來運算一些基本的Electromagnetic wave solutions for antennas and propagation vs frequency, 以及檢視一些Python在LoRa standard and hardware之中扮演的角色. 例子請看LoPy 5 6

最後，歡迎大家來這裡聊天交朋友，會後時間才是精華啊！

以及歡迎報名 Lightning talk, 跟大家分享您的研究成果。