Introduction

Ireland is consistently voted one of the most beautiful countries in the world. It is known for its beautiful beaches, lush countryside, and extensive culture. Also, it has some of the most vibrant and fun cities in the United Kingdom. There’s a lot more to do than just visit the pub! In this article, I will go over some of the places that I would include in a trip to Ireland.

Choosing Your Destination

It can be hard to choose which part of Ireland you would like to visit. It is important to note that the island Ireland is divided into two countries; Ireland and Northern Ireland. Ireland is a part of the United Kingdom while Northern Ireland is its own independent nation. However, the two countries have open borders to each other so it should be no problem visiting both in one trip. Although it is close in proximity to other countries in the UK, Ireland is ethnically and culturally unique. It is a pleasure to the traveler to discover the culture! In my opinion, the perfect trip to Ireland would contain a visit to the cities, magical castles, and historical sites. If you are planning a trip to Ireland, this article will be a great guide for you!

Cities:

Dublin – The first and most memorable place I would suggest visiting in Ireland would be Dublin. It is world renowned for its historical significance to the Irish people. Also, it is home to many traditional and fun Irish Pubs. The Temple Bar is popular amongst locals and tourists alike and is one of the most visited pubs in the city. If that interests you, you may also be interested in visiting the Guinness Brewery in Ireland. A tour of the Guinness-Glass shaped brewery costs roughly eighteen euros. It is certainly worth the cost to see how the timeless classic is brewed. I talk about castles in the next section of the article, but if you are in Dublin, be sure to visit Dublin Castle!

Blackrock – If pubs and beer aren’t really your thing, there are plenty of other cities in Ireland that you could visit and have an amazing time. One I would recommend would be Blackrock in County Louth. Blackrock is a small and charming town on the coast of the Irish sea. It is known for its fantastic beach and quaint town. A relaxing beach day and trip into town will surely make wonderful memories.

Castles:

Blarney Castle – A perfect spot to visit for both history buffs and nature lovers alike. The grounds of the castle span 60 acres, filled with beautiful flowers, landscaping, and gardening. It can make for a romantic and fascinating stroll. The castle was built over 600 years ago by Cormac MacCarthy. If visiting the castle, be sure to take part in the custom of kissing the famous Blarney Stone!

Doe Castle – While Blarney Castle is known for its lavish flora, Doe Castle is known for its spectacular view. The castle is located on a hill and is surrounded on three sides by the ocean, making it appear as if it floats. This castle is nice to visit because it is not one of the most popular tourist destinations. Therefore, you are free to observe and absorbs the views privately.

Historical Sites:

Newgrange – One of the oldest preserved structures in human history, Newgrange was first constructed in 3200 BC. The structure is a large mound in a grassy field that spans over 270 feet. The hill is hollowed out with passages, some filled with burial sites and artwork. Historians believe that the monument could have been a religious site or an ode to the dead. Either way, it would be interesting to see a structure that was built so long ago, it’s even older than the pyramids!

Skellig Michael – A beautiful historical site that also is a great view of the Irish coastline, Skellig Michael is an island off of the West coast of Ireland. It was once home to a monastery. The island has a set of ancient stairs that lead up to a lighthouse as well as the abandoned monastery. In order to visit the island, you must take a boat trip during the Summer season. A visit to the beautiful island typically lasts about 6 hours.

What Trip Planning Tool You Should Use

Sometime there are so many fun things to do that it’s hard to choose! Once you do, it is even harder to coordinate the travel and logistics. Visiting all the locations that I mentioned in this article would take you all over the island. In order to make the trip easier, I would suggest utilizing a trip planning tool. If you are planning a trip to Ireland, use a free tool like Route Planner to make coordinating travel much easier.

Not only does Route Planner coordinate travel, it can help you plan a trip (and not just in Ireland). It helps plan your trip based on your destinations and how many nights you are staying. It also includes a lot of extra features. In every destination you enter, it will suggest things to do in the area. It will also include relevant articles about whichever location you may choose.

Conclusion

It is my recommendation that you visit at least one city, castle, and historical site on your Ireland vacation. That will ensure a diverse and  Although I have never been to Ireland myself, I have many friends and family who have gone and had the best time of their lives. It is rich in culture and fun things to do. Visit and immerse yourself with its friendly people! For more information on fun things to do, visit this article.

Bibliography

“15 Best Places to Visit in Ireland.” VacationIdea, VacationIdea LLC, vacationidea.com.

“25 Best Things to Do in Dublin (Ireland).” The Crazy Tourist, The Crazy Tourist, 30 July 2018, www.thecrazytourist.com.

Hodapp, Patty. “5 Castles That Will Make You Go Medieval in Ireland.” Travel Channel, Travel Channel, 10 Sept. 2015, www.travelchannel.com.

“Newgrange.” Wikipedia, Wikimedia Foundation, 10 Nov. 2018, en.wikipedia.org.

“Skellig Michael.” Wikipedia, Wikimedia Foundation, 7 Nov. 2018, en.wikipedia.org.

“Route Perfect Ireland Trip.” RoutePerfect, www.routeperfect.com/ireland.

Overview

Traditional means of storing data have proven to be costly, time-consuming, and inconvenient to maintain. Now, there is an option for corporations and individual citizens to relay the burden of data storage onto a third party. The concept of storing data in someone else’s servers is known as cloud data storage. This type of data storage comes with many advantages that corporations and individuals may utilize in order to have a more cost-effective storage method. Also, advanced computations are able to be conducted using cloud computing.

How is Cloud Computing Related to Data Science and Big Data?  

The main advantage of cloud computing to data science is the cost-effectiveness. Maintaining and building data centers is a costly experience for any company. The servers need to be climate controlled, maintenance, powered with electricity, housed, and replaced when they get old. Rather than continuously concurring these costs, a corporation can opt into a cloud based web service. They often use a pay-as-you-go system, meaning that the more data you store on a cloud, the higher the costs.

There is basically no limit to cloud storage, therefore, a corporation would be able to access massive amounts of data without slowing down their own servers. Many vendors also offer what is known as data tiering; different prices for different types of data. Data that is often used and in high demand could be stored on a faster, easier to access tier. Data that is not often access but still needed could be stored on a slower, more cost-effective tier,

Analytics can be conducted on big data stored on the cloud. There are many advantages to cloud-stored data when performing data science. Data is automatically backed-up when it is put on the cloud. If a traditional data center were to go down, all of the data would be lost. Otherwise, a corporation would have to do their own backups which can be very time consuming and costly. Also, because the services are often distributed on the internet, the data has high availability. It can usually be accessed anywhere, on any device. This makes it easy to access data while mobile or working remotely.

Basic Cloud Concepts

Many of the largest corporations today in the tech industry offer their own form of cloud services. The most popular services are Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud. There are also many other smaller vendors available. The most popular and successful cloud service is Amazon Web Services. AWS provides its users with Availability Zones nationwide; if there is ever an outage of a zone the data never is lost. It is simply stored in another Availability Zone. They offer many customizable solutions to meet any business’ needs, whether they are big or small. For more information on Amazon’s main competitor Google’s cloud storage, please visit this article.

Another concept that is useful to consider when examining cloud computing is cloud security. One of the main advantages of traditional data storage is security. You have complete control over your own network; who has access to the data and what it is used for. The data is entirely yours and you can put your own security measures in place to protect it. Of course, this comes with high costs. If you were to store your data on a cloud-based solution, your data is kept alongside other corporation’s data. Sensitive data that would be terrible to be released to the public probably should not be kept in the cloud. If there is a breach of your own data centers, it was completely in your control and is your fault. However, by storing on the cloud, you could do nothing wrong and your data could be stolen. It should be noted that it is not very common for the large corporation’s web services data to be stolen, but it could happen.

Backing up data is extremely important. Data is very costly to obtain, clean, store, and put to use. It provides valuable insights to corporations and takes a lot of time to process. Just as you should save your work often while working on a computer in case of a crash, backing up data is a good idea. If it is not backed up often, it can be completely lost or outdated. All the time, energy, and money put into obtaining it would be wasted. Cloud services are very useful for backing up data and for preparing systems to deal with data loss during natural disaster. There are many vendors that exist for the sole purpose of backing up and protecting data on the cloud. In addition, third-party solutions exist which provide additional backup and disaster recovery capabilities on top of the default options provided by large vendors such as AWS. An example for such a solution is the AWS disaster recovery product by N2WS.

AWS offers a recovery solution that is applicable to a business whose workload environment is entirely run on AWS. This is referred to as a Cloud-Native Infrastructure plan. If this situation is pertinent to a business, Amazon has many built in tools that turn a disaster recovery nightmare into a manageable solution. If you are interested in learning more about the advantages and disadvantages of cloud storage, please visit this article.

Wrap Up

Cloud services have drastically changed the way that data science is conducted. Since data can now be stored for cheaper, is more accessible, is more scalable, and is more abundant, the capabilities of data science have skyrocketed. As cloud storage becomes cheaper, corporations will be able to store more data and conduct more analysis. This has created entirely new industries of data science such as the storage of unstructured data. A corporation can store data from social media sites (that is often unstructured, raw text data). It can then conduct sentiment analysis on the entire internet to see how their products or brand is viewed. This would not be possible with outdated data storage techniques as it needs to be able to encompass all traffic that goes through a social media site.

Sources:

“A Comparison of the Most Popular Cloud Based Data Bases Used in Data Science: AWS, Azure, AppEngine, Heroku and More.” Data Science Masters Degree Programs, Data Science Masters Degree Programs, www.datasciencegraduateprograms.com.

Gupta, Shreya. “Big Data And Cloud Computing.” Data Science Central, www.datasciencecentral.com.

“Importance of Data Science in Cloud Computing.” Coreitx, Core Technologies Services, Inc., www.coreitx.com/blogs.

NT, Baidu. “5 Advantages and Disadvantages of Cloud Storage.” Big Data Made Simple , Crayon Data, 20 Apr. 2016, bigdata-madesimple.com.

Rad, Armin A. “Introduction to AWS for Data Scientists.” Dataquest, Dataquest, 7 Feb. 2018, www.dataquest.io.

“Setting Up Google Cloud For Data Science.” DataCamp Community, www.datacamp.com.

“AWS Disaster Recovery.” N2WS, n2ws.com.

Overview:

As the data science industry matures, there are a variety of sub-fields that are emerging. One of the most effective and prevalent fields of data science is machine learning. Machine learning’s goal is to draw inferences or meaningful patterns that form a large set of data. Part of the data is used as a sample to, “train” the computer into recognizing patterns. After the computer has analyzed the training data, it may now take the learned patterns and apply them to the whole dataset. Deep learning techniques form a slightly different, yet effective branch of machine learning.

What is Deep Learning? How is it related to Data Science?

Computers are better at some things than humans are. For example, a computer is able to analyze thousands of rows of data that could be contained in a massive dataset. It would take a human much longer time to process the data, and a human would not be nearly as effective at recognizing patterns. However, there are some aspects about how humans think that machines could learn from. Deep Learning is an attempt to mimic the way humans process information. Rather than relying on one set of training data to analyze a whole dataset, Deep Learning is constantly being trained. The data is initially trained, then, it is applied to a portion of the data set. What the machine learned from this portion of the data is then catalogued and able to be applied to another layer of the data. What the machine learns from this layer will then be able to be processed onto the next; this process is repeated until all of the data is analyzed.

Deep learning has a massive impact on data science today. Computers that analyze massive data sets are much more effective if they are utilizing Deep Learning. Since the data is being tested multiple times and is constantly updating, the insights are accurate and informative. As the data science industry develops, machine and Deep Learning will increase in capability. In the next portion of the article, I will discuss some interesting examples of how machine learning is being used today.

5 Things You Didn’t Know About Deep Learning

1. Noticed an improvement on your Android’s Voice Search? You can thank the power of Deep Learning. Android’s voice search (similar to Apple’s Siri) initially has issues correctly recognizing most words its users spoke. This created issues when a user attempted to create a command or compose a message. To better improve their voice recognition software, Android employed Deep Learning. The software was subjected to multiple layers and variations of sound. This implementation has decreased errors by up to 25%. This clearly would increase customer satisfaction and performance. For more information on Android and Deep Learning, visit this article.
2. Although it is still being developed today, Deep Learning was first theorized in the infancy of the data science. Yann LuCon recorded the first successful example of machine learning utilizing a dataset in 1989. LuCon fed many records of handwritten zip codes on envelopes. After three days of training, the machine was able to recognize the different zip codes, regardless of the varying handwriting. This type of recognition has so many applications. For example, when you process a check at an ATM, the computer is able to draw multiple handwritten numbers from the check and digitize them. This allows them to accurately update their records for the amount of the check.
3. Sometimes Facebook knows you so well, it can be creepy. When users post a picture of their friends on Facebook, sometimes the friends are automatically tagged in the picture. Rather than blaming Big Brother for the intrusiveness, you can blame Deep Learning. Facebook is able to process all of the photos of you that have already been tagged. Since it has many variations of the same face, it is be able to learn the pattern and apply it to new pictures. Therefore, it is able to instantaneously tag new photos of user’s with multiple tags. Even if you do not tag yourself in photos, your friends may which will provide ample data for Facebook’s algorithm.
4. Some theorize that autonomous vehicles are the future of transportation. Few have staked billions on it, including Elon Musk’s Tesla. Many of the AI that are used in the autonomous vehicles are programmed to use deep learning. Rather than reacting to a situation using instincts, the AI will react based on millions of previously recorded interactions. This allows it to adapt to a variety of situations that a car faces on the road, such as when and where to stop and turn. As more data is collected from autonomous vehicles, they will perform better on the roads and become safer. For more information on autonomous vehicles, please visit this article.
5. When cameras were not as advanced, all images were captured in black and white. Deep Learning can be applied to colorize an image that is in black and white. By analyzing many different samples of images and their context, the computer is able to learn and guess what a color would be based on its surroundings. This is similar to how a human would approach the task doing it by hand. For example, this allows for a computer to colorize old movies and tv shows. This is an arduous task for a human but can be simple for a computer.

Wrap Up

There are some amazing applications of Deep Learning in the data analytics field. The technology and AI that machine learning has created is somewhat like science fiction. Some actions that once bogged down human workers are being delegated to machines. This frees up human workers to do tasks that require human thinking like abstract thought. Whereas machines are able to do some amazing tasks, they are still a long way away from taking over humans. If AI was to ever become so advanced that it succeeded the intelligence of humans, it would most likely be created using machine learning and equipped with super-advanced data analytic capabilities. Until then, it sure is helpful for analyzing datasets.

Bibliography

“8 Inspirational Applications of Deep Learning.” Machine Learning Mastery, 29 July 2016, machinelearningmastery.com.

Deep Learning. 3 Sept. 2018, en.wikipedia.org.

“Deep Learning, Machine Learning, and Artificial Intelligence Platform.” MissingLink, MissingLink, missinglink.ai/.

Hof, Robert D. Is Artificial Intelligence Finally Coming into Its Own? 17 July 2018, www.technologyreview.com.

Marr, Bernard. “10 Amazing Examples Of How Deep Learning AI Is Used In Practice?” Forbes, Forbes Magazine, 20 Aug. 2018, www.forbes.com.

Overview:

With increases in computing power and an abundance of new data sources, the internet dramatically changed the way that data science is conducted. Data science today is still undergoing transformations as open source software rises in popularity. Open source software altered the traditional method of how software is created. In this article, I will discuss how open source software is connected to data science and also mention a few open source security options.

How is Open Source Software Connected to Data Science?  

Open source software has aided the development of the data analytics field. Traditional software development and maintenance has many downsides that are solved by using open source software. Also, some of the best tools for data scientists today were created by open software. The very nature of open source software makes it more compatible with data science than traditional methods. The traditional method of developing software is rigid and takes a long time to adapt software. Therefore, it is not very agile and will not be the best solution in a rapidly changing industry. Open source software is much more agile and adaptable. Traditional software development could take weeks or months to come out with an updated version. Open source software is able to be accessed and modified by anyone; therefore it is able to be modified much quicker and takes much less time to resolve issues. Anyone can copy and alter the source code in any way they wish. However, if they decide to distribute the modified software, they must not charge to license it. Traditional software development has a limited number of programmers with access to source code. Since open source is able o be accessed by anyone, there are many more available users with their own respective experience and knowledge. More experienced users with access to the code could resolve issues quicker because they have their own knowledge.

When data analytics tools are created with open source software, it becomes much more agile. Someone with their own experience could modify the software to uniquely fit their needs. Therefore, new methods of data analytics and statistical analysis can be more easily integrated into the software. Rather than waiting for a team of a few individuals meet the needs of every user, every user can take it upon themselves to edit the code. For more information, please visit this article on open source.

Open Source Data Tools Examples

There are many free open source data analytic tools available on the internet. In this portion of the article, I will give examples of some of the most popular tools. For additional examples, please view this article.

1. R – R is a piece of software that was designed for statistical computation. It can also generate graphics that accompany and reflect the findings.
2. Python – Excellent for conducting statistical analysis in a production environment.
3. MySQL – An open source database, MySQL utilizes SQL to query a free to use database. It is used by some of the leading sites in the world and is easy to use.
4. Rapid Miner – A tool used for data mining. Data mining is a way to find meaningful statistics that support a conclusion through a very large data set. It utilizes machine learning to find meaningful patterns in the data and predict values for missing data.
5. Apache Hadoop – A tool used to process massive amounts of data. It stores unstructured data on distributed clusters so that it can be accessed at multiple points. Unstructured data is one of the most common types of data that is created through social media. Corporations are likely to conduct sentiment analysis on social media data that is unstructured.

Security Concerns Relevant to Open Source Tools

Although there are many benefits to open source software, there are also drawbacks that need to be considered. It is up to the user to determine whether the benefits outweigh the risks. There is a risk with having software that is editable by anyone. Some may use it for nefarious purposes. There have been many massive data breaches and data thefts that were ultimately caused by a lack of security in open source software. Open source databases may be more susceptible to attacks as any hacker could download the source code of the software and modify it to exploit a loophole. They may be able to take advantage of security inefficiencies of the open source and use it to gain access to restricted areas (such as other people’s data). They may also pass the knowledge on how to bypass security measures onto other hackers, who may inflict some damage of their own. Having open source software is sort of like giving out a map of your home to a burglar who is actively trying to break in and rob you. It doesn’t guarantee that they will be able to get in; it just makes it a lot easier.

How to Maintain Open Source Software Security

There are ways to protect from and prevent security concerns when dealing with open source software. Various options for maintaining open source security are available online. There are tools available such as WhiteSource Software that utilizes proven methods to make your data more secure. A good open source security tool should be able to detect vulnerabilities or bugs in code and report it t the creators. It then should be able to suggest fixes to areas that are vulnerable so a data breach would be way less likely.

Another tip to maintaining security in your software would be to conduct regular testing on your code. If you yourself find vulnerabilities in the code or bugs, take the proper care and steps to remediating the issue.

Wrap up

Due to its faced-paced development and agile tendencies, open source software is an effective means of created data analytics tools. Rather than waiting on a small team of coders to alleviate issues and update the software, any user is able to. However, this free to access source code comes at the risk of increased security vulnerabilities. Fortunately, if you do decide to use open source software, there are security measures you may take to prevent breaches.

Sources:

“Open Source Security.” WhiteSource, www.whitesourcesoftware.com.

Piatesky, Gregory. “The 6 Components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python Declare Victory over R?” KDnuggets Analytics Big Data Data Mining and Data Science, www.kdnuggets.com

Oldja, Lauren. “Become a Better Data Scientist by Contributing to Open Source.” Towards Data Science, Towards Data Science, 19 Apr. 2018, towardsdatascience.com.

Jones, Tim. “Data Science and Open Source.” IBM Cognitive Advantage Reports, IBM Corporation, 9 Aug. 2013, www.ibm.com.

Sethi, Naina. “The Data Science Toolkit: 24 Free Data Science Tools.” Springboard Blog, 9 Apr. 2018, www.springboard.com.

Ivan, Begtin. “What Are the Best Open Source Tools for a Data Scientist?” Quora, Quora, www.quora.com.

Gutierrez, Daniel. “Open Source Software Fuels a Revolution in Data Science.” Inside Big Data, Inside Big Data, 15 Mar. 2015, insidebigdata.com.

“What Is Open Source?” Open Source, Open Source, opensource.com.

Introduction

Vacations can either go very well, or horribly wrong. To ensure that your vacation is the most memorable and enjoyable experience of your life, foresight and planning are necessities. It has always been a dream of mine to take a trip to Greece. Greece’s world-renown beaches, vibrant cities, and impressive archeological sites make it one of the most popular vacation destinations in the world.

Choosing Your Destination

Unless you plan to stay an extended period of time, I would recommend limiting the areas that you plan on visiting during your vacation. Cramming too many destinations into a short time period will make your vacation feel rushed, and you could miss a lot of details and experiences you would have enjoyed if you had limited your scope. In this portion of the article, I will suggest some popular cities, beaches, and cultural sites that are available to be visited in Greece.

Cities:

Athens

Athens is one of the oldest and most beautiful cities in Greece. Located in Southeast Main-Land Greece, Athens was home to the ancient Athenian civilization. Athens is nowadays the largest city in Greece with a population of almost 700,000 people. I would recommend visiting this city due to its beautiful skyline views, as well as its proximity to many cultural sites. If you are interested in learning more about Athens, please visit this article.

Mykonos

If history isn’t really your thing, another city that I would suggest including in your trip would be Mykonos. Mykonos is an island that is located South of the Greek Mainland. Mykonos is a stunning island that is known for its beautiful blue water and contrasting white buildings. Mykonos is also known as having one of the best nightlife scenes in the world. The nightlife clubs that are on the island are visited by tourists from all over the globe.

Beaches:

Although it’s cities are extraordinary and extravagant, if you are more interested in relaxation, look no further than the many wonderful beaches in Greece. Greece is a nation made up of a peninsula with many small islands surrounding the Main-Land. Naturally, there is an extensive number of beaches that line the coasts and the Mediterranean Sea. The Mediterranean Sea is an enchanting blend of turquoise and blue. The sand, white as bone. The beaches of Greece are unlike any other in the world; any tourist to the country should visit.

Kapari

If you decide to listen to my advice and visit Mykonos, this beach would be a great option for you! Kapari is a beach near the town of Mykonos. Off the beaten path, this beach is good for those who would like to avoid crowds and other tourists. The sand and beach are beautiful and relaxing. Also, the geography and cliffs in the area are marvelous. If you are interested in learning more about Kapari, please visit this article.

Perissa

If you are interested in enjoying amenities with your beach experience, visit the Perissa Beach. Perissa is a long beach located on the island of Santorini. It has beachfront restaurants, rentable umbrellas and chairs, and many hotels if you are interested in staying on the island.

Cultural sites

Parthenon

The Parthenon is a breath-taking and elaborate structure. What was once a temple dedicated to the goddess Athena is now one of the most popular tourist destinations in the world. Located within the Acropolis of Athena, the Parthenon is a sprawling temple, adorned with ancient statues and carvings. It is a large structure that is still supported today by thick columns, an impressive feat as it is 2,500 years old! It would be amazing to be in the presence of such an ancient and beautiful structure.

Museum of Cycladic Art

Ancient Greek sculptures and pottery tell magnificent tales of Ancient Greek heroes and mythology. The Museum of Cycladic Art is located in Athens and has an extensive collection. At only $9 a ticket for an adult, it would be a life-changing experience to be able to view so much ancient art. It is hard to believe the artist’s skill as they did not have access to nearly as sophisticated technology as we do today.

What Trip Planning Tool You Should Use

What’s nice about vacation is that you are able to choose how you spend your time. In this article, I have mentioned several interesting places that could be worth a trip. In order to plan a successful, trip I would recommend using a free travelling planner. Simply put in the addresses of the destinations that you would like to see, and the tool will create a schedule with the optimal path.

There are many websites that will offer this service for free. For example, routeperfect.com is a website that can plan your trip based on your destinations and how many nights you are staying. It also includes a lot of extra features. In every destination you enter, it will suggest things to do in the area. It will also include relevant articles about whichever location you may choose.

Another free trip-planning website is known as roadtrippers.com. It will plan the optimal route for a road trip. Like the other site, you have the option of showing what there is to do in each area you would like to visit. Also, the site has an extensive library of recommended road trips, ones that viewers can download and follow for free!

Conclusion

It is my recommendation that you visit at least one city, beach, and cultural site on your Greece Vacation. Greece has one of the most interesting cultures in the world; it would be a great time to immerse yourself in it. If you are truly attempting to have a once-in-a-lifetime experience on your trip, it is imperative that you put sufficient effort into planning your trip. You will thank yourself later when you get to experience all the great events you planned. However, be sure to be open to unforeseen possibilities if they come your way. If you end up changing plans, it won’t be the end of the world. Sometimes, spontaneity can bring a pleasant surprise.

Bibliography

“Athens.” Wikipedia, Wikimedia Foundation, 25 July 2018, en.wikipedia.org.

“Mykonos.” Wikipedia, Wikimedia Foundation, 27 July 2018, en.wikipedia.org.

“Parthenon.” Wikipedia, Wikimedia Foundation, 25 July 2018, en.wikipedia.org.

“Route Perfect.” RoutePerfect, Routeperfect, www.routeperfect.com.

“Roadtrippers.” Roadtrippers, roadtrippers.com/.

Gillford, Jacqueline. “Best Beaches in Greece.” Travel Leisure, Meredith Corporation Travel &

Leisure Group, www.travelandleisure.com.

Dave, Santorini. “Santorini Beaches.” Travel Guide to Santorini, Greece, and Italy, santorinidave.com.

“Museum of Cycladic Art.” TripAdvisor, TripAdvisor LLC, www.tripadvisor.com.