【旅行】日本四國行Part 1: 日本鳴門、高松(Naruto, Takamatsu)

因為確定五月份就要前往紐西蘭討生活了,決定在離開台灣前去鄰近的日本玩玩。很湊巧也很幸運的是瓶子搶到威航超級便宜的機票,再加上我跟瓶子對大城市沒有興趣,日本四國行便就此定案。

飛機預計7:40起飛,因此我們搭乘第一班凌晨4:40發車的客運從中和前往桃園機場,大約一小時左右到達機場。因為沒有行李需要托運,一下子就check-in好等待飛機。

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站在Auckland的頂端

趁著Sky Tower有紐西蘭居民壽星免費參觀的優惠(成人參觀的票價為$29NZD),生日當天請了假去參觀Sky Tower。進去Sky Tower之後,順著指示到售票處憑著地址證明和ID之後,即可換票進入。Sky Tower是目前紐西蘭最高的建築物,高度為328m,完工於1997年。雖然並不是非常高,但是畢竟Auckland沒有其他高樓大廈,站在360度觀景台的視野還是非常好。

高速電梯一瞬間就把我載到51樓的主要觀景台。

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Ambury Regional Park & Otuataua Stonefields (Historic Reserve)

今天下午剛好要去Auckland CBD南邊的Mangere欣賞NZ Opera的歌劇演出,瓶子便提議去該區域附近的Ambury Regional Park和Otuataua Stonefields走走。一開始並不知道Ambury Regional Park其實是個農場,到達之後先映入眼簾的是大草原,上面有些許的綿羊。

2018-07-07 12.45.20

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Android Weather app review – Android氣象應用程式評測

因為這會是很長的一篇文章,我將整篇文章分成不同的段落列點如下,可以點擊下面的連結進入該段落。沒有耐心看完的人可以直接進入結論🤣🤣。

前言

我在2010年年底時購入了Beautiful Widgets Pro Android app,我對這個app非常滿意,它能夠讓我客製化桌面時鐘與天氣圖示。換了多次手機,經歷過多次Android OS世代更迭一直用的都相安無事。2016年九月換了ASUS手機之後,使用這個app發現其中顯示的時間與手機時間無法同步,不管怎麼調整設定都沒有用。一開始以為是手機的問題,後來發現其他人也有一樣的問題而且作者不再更新之後,我只好放棄它轉而使用手機內建的ASUS Weather搭配Google Weather,並踏上了尋找心目中最佳Weatehr app的漫漫長路。

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【鞋測】Skechers GOrun 400 & Nike Zoom Strike

自從去年10月底的Auckland Marathon結束之後,我還是一直持續練跑,去年11月到今年的五月底的累積跑步里程超過1500km。去年購入的Adidas Adizero Boston 5已經快要壽終正寢,且也想要把已經買了五年多的Mizuno Spacer AR4汰換。最近適逢Sport Director NZ的運費特價£0.9,便決定來購置新鞋。不過SportDirect上能夠選擇的鞋款並不多,千挑萬選之後購買了Skechers GOrun 400 和Nike Strike,而會選擇這兩雙鞋子的理由很簡單:『便宜&輕量』。

2018-05-12 10.58.07

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【軟體】Training Log Manager: rubiTrack (For Mac OS User Only) (2018/05/12 Update!)

[2018/05/12 Update!]
rubiTrack3使用了四年半之後,讓人引頸期待的rubiTrack5終於上市了。rubiTrack5的價格比rubiTrack4稍微高一些€49.9EUR,但如果是舊用戶升級的話,可以享有25% off的優惠,價格為€37.5EUR。我是自費購買軟體,因為覺得這個軟體很實用而推薦給大家,並沒有收取任何廠商的贊助費。

與rubiTrack3比較起來,rubiTrack5軟體首頁最大的改變是地圖移到Activities的左邊。與舊版軟體相同的是一樣有List view, calendar view以及collection view。

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【跑步】平日練跑路線: Westhaven Marina, Tamaki Drive

我的公司在Auckland市中心距離海邊不遠的位置,上班日的練跑路線大致上為公司西邊的港口Westhaven Marina,或是公司東邊的Tamaki Drive。兩條路線都是沿著海岸跑,非常平緩跑起來很舒服 XD。Westhaven Marina的路線較短,起終點來回的距離約4.5km,而從公司沿著Tamaki Drive往東到Orakei Marina來回的距離約10km,兩條對我來說都是風景很棒的練跑路線。

353

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[JS] When upgrade Webpack from v3 to v4…

When I upgraded Webpack from v3 to v4, I got a bunch of errors. I already get used to encountering the errors when I upgrade the Webpack, sigh…😩

The first 2 errors I encountered were CommonsChunkPlugin and UglifyJsPlugin.

Error: webpack.optimize.CommonsChunkPlugin has been removed, please use config.optimization.splitChunks instead.
...
Error: webpack.optimize.UglifyJsPlugin has been removed, please use config.optimization.minimize instead.

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[Ubuntu] Install Hadoop 3.0.0 & Hive on Ubuntu 16.04

What’s Hadoop?

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

The project includes these modules:

Hadoop Common: The common utilities that support the other Hadoop modules.
Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.
Hadoop YARN: A framework for job scheduling and cluster resource management.
Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

What’s Hive?

The Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive.

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[Ubuntu] Install Spark2.2.1 on Ubuntu 16.04

What is Spark?

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

You can download Spark from here, or follow the below instructions to download and install Spark2.2.1.

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