Generators were first introduced to Python 2.2. Also referred to as "weightless threads", they allow you to replace threads or processes. Creation, entry and return are virtually free, unlike the alternatives, and encourages an asynchronous approach to handling background events.
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Map, Filter, and Reduce are three functions that promote a functional programming approach. We'll go over these and Lambda, in this python programming tutorial.
In this guide, we're focusing more on some of the intermediate list capabilities of Python. If you already have a basic understanding of lists, you should already be familiar with tasks like list creation, appending, retrieving by index, and so on.
In this Python programming tutorial, we're going to focus on programming Python exclusively in the Interpreter or REPL (read-eval-print-loop). It's a handy tool for quickly executing Python calculations.
VirtualEnv allows us to create isolated Python environments, where a project's dependencies, executables, and even python versoin are self-contained. This keeps the global filesystem safe and allows us to create multiple Python projects without worrying about potential conflicts.
By the end of this tutorial, you'll have Python installed and running on your local machine. We won't be going into Python programming concepts. We'll save that for another article.