Changed the language about language a bit.

Author: valentina-s

_pages/applicants.md

@@ -9,31 +9,32 @@ image: ohw18-hacking2.JPG
 
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-In Oceanhackweek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. In tutorials, we will learn data science tools, cloud computing, visualization, and a suite of software assets to interact with data sets of complex temporal-spatial structures or high volum. In project sessions, we will immediately put these skills to use by implementing research, computation, or visualization ideas in a group setting. To best benefit from the program, participant are expected to have some experience with Python programming and data analysis.
+In Oceanhackweek we will explore the intersection of data science and oceanography through tutorials and hands-on “hacking” projects. In tutorials, we will learn data science tools, cloud computing, visualization, and a suite of software assets to interact with data sets of complex temporal-spatial structures or high volume. In project sessions, we will immediately put these skills to use by implementing research, computation, or visualization ideas in a group setting. To best benefit from the program, participant are expected to have some experience with Python programming and data analysis.
 
 If you are ready to apply, please use the application form [https://form.jotform.com/oceanhack/2019](https://form.jotform.com/oceanhack/2019)
 
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 ## FAQs
 
-**I am proficient in Matlab/R/other language but I have not used Python. It has been on my list to learn. Can I apply?**
 
-We want to build an inclusive Oceanography community regardless of people’s language of choice and programming level. Since the event is only one week long, the tutorials will be presented in one language (Python), and participants will benefit the most if they have basic familiarity with this language. We expect that you have gone through the Software Carpentry Python tutorials to get familiar with the syntax in advance of the program.
+**I am an undergrad/first year grad/faculty/etc. Is this program right for me?**
 
-**I do not have any programming experience, how is my application going to be successful?**
+We welcome participants from all career stages. We strongly encourage applications from graduate students, postdocs and early career researchers. There are different ways to contribute to the event: by pitching a project, by your knowledge of data sets, by your computational skills, by your project management skills. We want you to grow/learn during the event! We expect all participants to be engaged in the team projects and focus during the week. If in doubt, simply apply and explain your motivation for participation.
 
-We believe that Oceanhackweek participants will benefit the most with some prior programming experience, and might not find the hackweek the best place to learn programming. If you do not have any programming experience we encourage you to start with some local or online training. Check if your institution runs a Software Carpentry workshop, or try learning by going through online resources such as:
- - [Software Carpentry Python tutorial for novice](http://swcarpentry.github.io/python-novice-inflammation)
- - [Software Carpentry Python gapminder](http://swcarpentry.github.io/python-novice-gapminder)
+**I am proficient in Matlab/R/other language but I have not used Python. It has been on my list to learn. How can I make my application stronger?**
 
-Once you have gone through some training you will have a better estimate of whether Oceanhackweek is right for you. We expect that you have basic operational knowledge of Python in advance of the program. The more experience you can obtain before the beginning of the program, the easier it will be to follow the tutorials and contribute to the projects.
+We want to build an inclusive Oceanography community regardless of people’s language of choice and programming level. Since the event is only one week long, the tutorials will be presented in one language (Python), and participants will benefit the most if they have basic familiarity with this language. We expect that you have gone through the [Software Carpentry Python tutorial](http://swcarpentry.github.io/python-novice-gapminder) to get familiar with the syntax in advance of the program. The more experience you can obtain before the beginning of the program, the easier it will be to follow the tutorials and contribute to the projects.
 
----
+**I do not have any programming experience. Is the program a good opportunity to get started?**
 
-**I am an undergrad/first year grad/faculty/etc. Is this program right for me?**
+We believe that Oceanhackweek participants will benefit the most with some prior programming experience, and might not find the hackweek the best place to learn programming. If you do not have any programming experience we encourage you to start with some local or online training. Check if your institution runs a [Software Carpentry workshop](https://software-carpentry.org/workshops/), or try learning by going through the [Python Novice Lesson](http://swcarpentry.github.io/python-novice-gapminder).
 
-We welcome participants from all career stages. We strongly encourage applications from graduate students, postdocs and early career researchers. There are different ways to contribute to the event: by pitching a project, by your knowledge of data sets, by your computational skills, by your project management skills. We want you to grow/learn during the event! We expect all participants to be engaged in the team projects and focus during the week. If in doubt, simply apply and explain your motivation for participation.
+Once you have gone through some training you will have a better understanding of whether Oceanhackweek is right for you. We expect that you have basic operational knowledge of Python in advance of the program. 
+
+**I have strong computational skills but have not worked in oceanography?**
+
+To ensure that participants will be interested in the oceanography problems they are solving and can give back to the field later on, we require that participants have had at least some familiarity or prior experience with oceanography data.
 
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@@ -43,6 +44,4 @@ Make sure to explain your motivation for participation in the application form!
 
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-**I have strong computational skills but have not worked in oceanography?**
 
-To ensure that participants will be interested in the oceanography problems they are solving and can give back to the field later on, we require that participants have had at least some familiarity or prior experience with oceanography data.