Python is kind of like the frozen yogurt of programming languages — it’s extremely popular and versatile on its own, but it’s even better when you add toppings. Of course, by “toppings,” we’re talking about the many Python libraries and tools that level-up what you can do with the language.
With data science, in particular, there are lots of pre-written Python code packages and extra tools that allow you to work with data in more advanced ways, explains Ada Morse, Codecademy Curriculum Developer in Data Science. In the new free course Getting Started with Python for Data Science, you’ll get to use Pandas, a Python module that’s used for data manipulation. read more...
Traditionally, Unix/Linux/POSIX filenames can be almost any sequence of bytes, and their meaning is unassigned. The only real rules are that "/" is always the directory separator, and that filenames can't contain byte 0 (because this is the terminator). Although this is flexible, this creates many unnecessary problems. In particular, this lack of limitations makes it unnecessarily difficult to write correct programs (enabling many security flaws), makes it impossible to consistently and accurately display filenames, causes portability problems, and confuses users. more ....
Comments