Core Python | Basic Feature of Python | Python Module Mechanism | New Modules | New Packages | Part2
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In this chapter you reviewed the core language features of Python. You looked at the interpreter
environment, the core data types, and the language control structures and syntax. You also
considered how Python can be extended by writing functions, classes, modules, and packages.
packages should be available in a standard Python installation. The roadmap starts
to take effect in Python 3.4 with the inclusion of pip in the standard distribution.
You should refer to the latest guidance on the Python Package Authority website
(https://python‐packaging‐user‐guide.readthedocs.org/en/latest/) if
you want to create your own distributable packages. 44 ❘ CHAPTER 1 REVIEWING CORE PYTHON
The core data types are Boolean ( bool), integer (int ), and fl oating point (float) numbers, as well
as the special None type. Python also supports several collection types including strings, bytes, lists,
tuples, dictionaries, and sets.
The control structures cover all of the structured programming concepts including sequences,
selection, and iteration. Selection is done using if/elif/else and a conditional expression form.
Iteration is supported via two loop constructs: for, which iterates over a collection or iterable object,
and while, which is a more general, and potentially infi nite, loop. Python also supports exception
management via a try/except/finally construct.
In addition to a large number of built‐in functions and a standard library of modules, Python
enables you to extend its capabilities by writing your own functions using the def or lambda
keywords. You can also extend the standard data types by creating your own data types using the
class keyword and then creating instances of those classes. Functions and classes can be stored
in separate files, which constitute Python modules that can be imported into other code, thus
facilitating cross program reuse. Modules can in turn be grouped into packages, which are simply
folders containing an __ init __ .py file.
Things covered in this video are:
Numeric types: integer and float, Boolean Type, The none type in python, collection types in python, strings, bytes in python, bytearrays, tuples, lists in python, dictionaries in python, sets in python, structuring your python program, using sequence, blocks, and comments, selecting an execution path, iteration, handling exceptions in python, managing context, interacting with users, using text files in python, generator functions in python, lambda functions in python, using and creating modules in python, using and creating packages in python
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