Gain insights into Python by exploring basic to advanced concepts, including loops, classes, and GUIs with Tkinter. Delve into testing and become a productive Python programmer.

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In this course, you will get a comprehensive overview of Python. You will start by laying the foundation and learning the introductory topics like operators, conditional statements, functions, loops, assignment statements, and more. You will then move onto more advanced topics such as classes and inheritance, iterators, list comprehensions, and dictionaries. Along with this, you will also get to explore the concept of testing and take a look at how GUI applications can be designed using Tkinter, Python's standard GUI library. 

By the time you're done, you'll be able to hit the ground running and be equipped with the tools that will allow you to be productive in Python.

Python 3: From Beginner to Advanced

# Introduction to functions on iterables

Here are some functions that take iterable objects (**lists**, **sets**, **tuples**, **strings**, **dictionaries**, **ranges**, **files**, and possibly others).

* `all(iterable)` returns `True` if every element of `iterable` evaluates to a true value.

* `any(iterable)` returns `True` if at least one element of `iterable` evaluates to a true value.
* `filter(test, iterable)` returns an iterator for the items in `iterable` that pass the `test`.
* `len(iterable)` returns the number of elements in `iterable`.
* `list(iterable)` returns a list of the elements in `iterable` in the same order.
* `map(function, iterable)` returns an iterator. Each value returned by the iterator will be the result of applying the `function` to the corresponding value of the `iterable`.
* `max(iterable)` returns the largest value in `iterable`.
* `min(iterable)` returns the smallest value in `iterable`.
* `set(iterable)` returns a set of the values in `iterable`.
* `sorted(iterable)` returns a list of the elements in `iterable` in sorted order.
* `sum(iterable)` returns the sum of the values in `iterable`.
* `tuple(iterable)` returns a tuple of the elements in `iterable` in the same order.
* `zip(iterable1, ...,iterableN)` returns an iterator of **N**-tuples, where the first tuple contains the first value in each iterable, the second tuple contains the second value in each iterable, and so on. Iteration stops when any one of the iterables runs out of values.
* `element in iterable` returns `True` if the element is in `iterable`.
* `element not in iterable` returns `True` if the element is not in `iterable`.

In general, functions that take an iterable object can also take an iterator or a generator.

Some of the functions above have to examine every element of the iterable (`max`, for example). Others, like `any`, may or may not examine every element. Take care not to call such a function with an iterator or generator that produces an infinite number of values.

Learn about the different functions on iterables available in Python.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Functions on Iterables

Introduction to functions on iterables