php complete tutorial by harvard University.#php#webdevelopment#mysql#fullwebdevelopment

This video is about php complete tutorial by harvard University.and performs whatever operation is
specified so if that statement is print
the interpreter is going to literally
print out whatever is in between the
parentheses for that function call so
it's not compiled so not compiled means
you don't actually run it manually
through a compiler like GCC or Visual
Studio the output of which is generally
something called object code so you
instead just run it and even though
we'll see PHP both at the command line
whereby you can use it to write things
called shell scripts right little
programs at the command line at your
blinking prompt it's predominantly used
in the web context so as to generate
dynamic websites and so that's will be
ultimately our focus so what is an
advantage of PHP or any interpreted
language of being interpreted as opposed
to compile why is this even an
interesting distinction what do you got
okay good so because it's interpreted
and you skip this middle step of
compiling it it just speeds up
development time a little bit you can
make a change test it make a change test
it without just that middle step and
certainly for large projects if you did
how to compile a whole program you know
in the worst of cases very large see how
software projects that can take a few
seconds even a couple of minutes
yeah nice excellent so one of the key
realities of a compiled language is that
when you compile it down to object code
that is zeros and ones those zeros and
ones are laid out in a pattern that's
specific to a particular CPU and it's
accompanied by zeros and ones that are
specific to a particular operating
system typically so if you compile a
program written in C or C++ or the like
on your Mac odds are it is not going to
run on your PC at least not without some
effort and if you run it to compile it
down on new the latest and greatest Mac
which is let's call it 64-bit and then
try to run it on an older Mac even that
might not work because the size of the
numbers you're using in that program on
a 64-bit machine are twice as big as
they would be on an older machine so in
short there are some pluses and minuses
in both directions and the minus in the
interpreted direction is that you can
pay a bit of a performance penalty if
you're not actually doing this upfront
expenditure of converting something from
source code to object code you're gonna
have to do that again and again and
again effectively when the program is
interpreter you're gonna have to incur
some cost then however as we'll talk
about toward the end of the semester
when we talk about scalability there are
tools that you can install on a server
to mitigate this that will actually
cache the results of the interpreters




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