7 Projects to practice HTML & CSS skills for beginners




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[CSS] Day 4: Let's practice - box

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Let's create box.html and retain basic html code <!DOCTYPE html> <html>   <head>     <meta charset="utf-8">     <title></title>   </head>   <body>   </body> </html> Block-level element and inline element Block-level: uses entire space /* block level element */ Inline element: uses partial /* inline element */ comma , allows duplicate code  h1, a{      border:5px solid red;  } more examples : CSS box model --> image search Right-Click --> Inspect
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[AWS] Intro to Cloud Practitioner 01

What is Cloud Computing? On-demand delivery of IT resources and applications via the internet. This allows to measure scale up and down depends on what we actually need Could be temporary and easy to fix Could reduce risk and reliable coverage and secure data Agility is the key Quick response and flexibility is helpful  Could be used to your own pace Customer can grow and shrink flexible  Why do companies move to cloud computing? Its because of agility! 3 of the main factors that influence agility are: 1. Increasing speed 2. The easy of experimentation 3. Cultivating of cultural innovation Possible to global reach in a minute does not require much to depend on the building infrastructure Consistent development setting Elasticity - allow to scale up and down instantly
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[PORTFOLIO] ACADEMIC PROJECTS: NETWORK ANALYSIS_OD COST MATRIX

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1. FALL 2018 / AUSTIN B-CYCLE, AUSTIN, TX In 2018, I took network analysis online class with Esri and origin/destination matrix was really fascinating. I thought of using this idea from 2017 when I was  looking for an affordable and fun ways to get around downtown Austin and I was looking for bike sharing service and Austin B-Cycle caught my eye. At that time, the  company promoted, if you pay certain amount of money, you will have 24 hr access to B-Cycle anywhere in Austin but  required to check in any bike station every 30 min. I immediately pictured travel time operation between each station and started collecting road data and spatial layers. Also, I used python to reduce the .csv file volumes and developed basic structure with geoprocessing open source. The final map is extracted by using ArcGIS. The result of this analysis was interesting. The average travel time was in between 35 min to 60 min without considering any obstacles. Lat...
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