An error occured adding a product to your cart, you may only have 100 items in your cart.

Mastering Python 3.x [Video]

Preview Online

Code Files

Mastering Python 3.x [Video]

Daniel Arbuckle

Saturday, April 27, 2019

New Release!

Build high-quality Python programs

Quick links: > Table of contents > What will you learn? > Preview

Packt Subscription

FREE

€9.36/m after trial

Video

€52.36

RRP €130.88

Save 59%

What do I get with a Packt subscription?

Exclusive monthly discount - no contract
Unlimited access to entire Packt library of 6500+ eBooks and Videos
120 new titles added every month, on new and emerging tech

What do I get with an eBook?

Download this book in EPUB, PDF, MOBI formats
DRM FREE - read and interact with your content when you want, where you want, and how you want
Access this title in the subscription reader

What do I get with Print & eBook?

Get a paperback copy of the book delivered to you
Download this book in EPUB, PDF, MOBI formats
DRM FREE - read and interact with your content when you want, where you want, and how you want
Access this title in the subscription reader

What do I get with a Video?

Download this Video course in MP4 format
DRM FREE - read and interact with your content when you want, where you want, and how you want
Access this title in the subscription reader

€0.00

€52.36

€9.36 p/m after trial

RRP €130.88

Subscription

Video

Start a FREE 10-day trial

Frequently bought together

Mastering Python 3.x [Video]

€ 130.88

€ 52.36

Mastering Python 3.x [Video]

Apr 2019

3 hours 37 minutes

€ 52.36

Exploratory Data Analysis with Pandas and Python 3.x [Video]

€ 130.88

€ 52.36

Exploratory Data Analysis with Pandas and Python 3.x [Video]

Apr 2019

5 hours 4 minutes

€ 52.36

Buy 2 for €104.72
Save €131.98

Add to Cart

Video Details

ISBN 13 9781789955347

Course Length 3 hours 37 minutes

Getting Set Up

The Course Overview

Installing Python

Using the Command Line Tools

Graphical Interfaces, Event-Driven Programs, and Reactive Programming

Introducing Kivy and Kv

Responding to User Actions

Properties and Basic Reactive Programming

ReactiveX for More Advanced Reactive Programming

Writing Our Oware Client

Networking, Microservices, and Asynchronous Programming

Introducing asyncio and Coroutines

Creating an HTTP Microservice with asyncio and aiohttp

Using ReactiveX Together with asyncio

Writing Our Oware Server

Fighting Back Against Bugs, Using Type Annotation, and Unit Testing

Using Type Annotations to Make Our Code More Bug-Resistant

Using Tests to Find Bugs, and Keep Them from Coming Back

Test-Driven Development

Hardening Our Oware Code

Parallel Concurrency

Using Concurrent.futures to Launch and Manage Worker Processes

Using Multiprocessing to Handle Lower Level Multi-process Concurrency

Using Subprocess to Handle Very Low Level Multi-process Concurrency

Optimizing Inter-Process Communication with __getstate__ and __setstate__

Decorators and Non-Type Annotations

Decorators on Functions and Classes

Non-Type Annotations as Metadata on Functions and Parameters

Descriptors and Context Managers

Descriptors to Control Attribute Access

Context Managers for Active Scopes and RAII

Distributing Your Software

Distributing Applications in ZipApp Format

Distributing Libraries in Wheel Format

Distributing Programs Using PyInstaller

Compiling Python Using Cython

Video Description

Python is one of the most popular programming languages in the world, thanks to its practical, flexible design, and readable syntax. It is renowned for its high readability and hence it is often the first language learned by new programmers. Python, being multi-paradigm, can be used to achieve the same thing in different ways and it is compatible with different platforms.

Familiarity with Python is something that all programmers need in their toolkits. After 2 successful editions, we have come up with a brand-new course covering the latest features and added functionalities. This course covers everything from fairly basic to more advanced topics, including both practical examples and the theoretical underpinnings.

All the code files and important files are placed on GitHub at this link https://github.com/PacktPublishing/Mastering-Python-3.x

Target Audience

This course is for you if you want to get started in programming, or if you already know how to program but want to get into Python. No preexisting programming knowledge is required but you do need to be an advanced computer user, and familiarity with the Command-Line Interface will help.

Style and Approach

This course has hands-on instructions, interesting and illustrative examples, and clear explanations. It also contains useful tips and advice to help you succeed. It is easy to understand, with explanations of both how and why.

Video Preview

What You Will Learn

This course will teach you how to get moving in Python, making sure you have the breadth and depth of knowledge that will allow you to begin learning, or working, on your own.
How to create Graphical User Interfaces for desktop applications or cell phone apps so you can create vivid user experiences.
How to use create HTTP-based microservices so that you can build efficient and flexible server architectures.
How to use type annotations and unit tests to catch bugs early and easily, so that your software is reliable.
How to package your software so that it is easily distributed and shared with others.

Authors

Daniel Arbuckle

Daniel Arbuckle holds a Doctorate in Computer Science from the University of Southern California, where he specialized in robotics and was a member of the nanotechnology lab. He now has more than ten years behind him as a consultant, during which time he’s been using Python to help an assortment of businesses, from clothing manufacturers to crowdsourcing platforms. Python has been his primary development language since he was in High School. He’s also an award-winning teacher of programming and computer science.

Getting Set Up

The Course Overview

Installing Python

Using the Command Line Tools

Graphical Interfaces, Event-Driven Programs, and Reactive Programming

Introducing Kivy and Kv

Responding to User Actions

Properties and Basic Reactive Programming

ReactiveX for More Advanced Reactive Programming

Writing Our Oware Client

Networking, Microservices, and Asynchronous Programming

Introducing asyncio and Coroutines