message: Document formatting
diff: @@ -12,9 +12,9 @@ You could do almost everything you could do with Pandas within the C++ syntax an
  You can slice the data frame and instead of getting another data frame you can opt to get a view. A view is a data frame that is a reference to a slice of the original data frame. So if you change the data in the view the corresponding data in the original data frame will also be changed.<BR><BR>
  <B>Multithreading</B><BR>
  Instances of DataFrame are not multithreaded safe. In other words, instances of DataFrame must not be used in multiple threads without protection. But DataFrame utilizes multithreading in two different ways:<BR>
  - 1) There are asynchronous versions of some methods. For example, you have both sort() and sort_async(). The latter returns a std::future which could execute in parallel.<BR>
  - 2) DataFrame uses multiple threads, internally and unbeknown to the user, in some of its algorithms when appropriate. User can control (or turn off) the multithreading by calling set_thread_level() which sets the max number of threads to be used. The default is 0. The optimal number of threads is a function of users hardware/software environment and usually obtained by trail and error. set_thread_level() and threading level in general is a static property and once set, it applies to all instances. <BR>
  -
  +1. There are asynchronous versions of some methods. For example, you have both sort() and sort_async(). The latter returns a std::future which could execute in parallel.
  +2. DataFrame uses multiple threads, internally and unbeknown to the user, in some of its algorithms when appropriate. User can control (or turn off) the multithreading by calling set_thread_level() which sets the max number of threads to be used. The default is 0. The optimal number of threads is a function of users hardware/software environment and usually obtained by trail and error. set_thread_level() and threading level in general is a static property and once set, it applies to all instances.
  +<BR>
  ## [Documentation](docs/DataFrameDoc.pdf)
  