By Laura Cassell, Alan Gauld

A advisor to finishing Python initiatives for these able to take their talents to the following point Python initiatives is the final word source for the Python programmer with easy talents who's able to flow past tutorials and begin development initiatives.

The preeminent advisor to bridge the distance among studying and doing, this booklet walks readers in the course of the "where" and "how" of real-world Python programming with sensible, actionable guideline.

With a spotlight on real-world performance, Python tasks info the ways in which Python can be utilized to accomplish day-by-day projects and produce potency to companies and members alike.

Python tasks is written in particular if you happen to recognize the Python syntax and lay of the land, yet should still be intimidated through higher, extra complicated initiatives.

The e-book offers a walk-through of the fundamental set-up for an software and the development and packaging for a library, and explains intimately the functionalities concerning the tasks.

Topics comprise:

How to maximise the facility of the traditional library modules

Where to get 3rd get together libraries, and the easiest practices for usage

Creating, packaging, and reusing libraries inside of and throughout tasks

Building multi-layered performance together with networks, information, and person interfaces

Setting up improvement environments and utilizing virtualenv, pip, and extra

Written by means of veteran Python running shoes, the ebook is dependent for simple navigation and logical development that makes it perfect for person, lecture room, or company education.

For Python builders seeking to practice their talents to real-world demanding situations, Python initiatives is a goldmine of knowledge and specialist perception.

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Additional resources for Python Projects

Example text

Whereas indexing is used to access just one particular element of a collection, you can use slicingg to access multiple items in the collection. Slicing consists of a start index, an end index, and a step size, and the numbers are separated by colons. Slicing is not valid for dictionaries or sets. The step size argument enables you to, for example, select every other element. All values are optional, and the defaults are the start of the collection, the last item in the collection, and a step size of one.

Seek() has several modes of calculating position; the default is simply the offset from the start of the file. You now have all of the basic skills to write working Python programs. However, to tackle larger projects, which are the focus of this book, you will want to extend Python’s capabilities. The next section starts to explore how you can do just that. EXTENDING PYTHON The simplest way of extending Python is by writing your own functions. You can defi ne these in the same fi le as the code that uses them, or you can create a new module and import the functions from there.

There is another type of set in Python, called frozenset, that is immutable and is basically a read‐only set. Its constructor works like set(), but it supports only a subset of the operations. You can use a frozenset as an element of a regular set because frozenset is immutable. Set literals are expressed with curly braces surrounding elements separated by commas: myset = {1,2,3,4,5} Sets do not support indexing or slicing and, like dictionaries, they do not have any inherent order. The sorted() function returns an ordered list of values.

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