PluralSight – Python Getting Started

PluralSight – Python: Getting Started
English | Size: 405.45 MB
Category: Tutorial

Included
Course Videos / MP4 Format
Exercise Files

Released
27 Apr 2017

Description
Hello, and welcome to Python: Getting Started, part of the Python Learning Path here at Pluralsight.

My name is Bo Milanovich, and I’m looking forward to helping you learn this powerful and versatile language. Along the way, you’re going to be learning about things like syntax, functions, and classes, exploring how to create a console application and how to convert that same app into a web app, as well learn how to create executable files and an installation wizard from your Python app.

In addition to Python, you’ll also be using Flask and Pycharm.

This is a beginner-friendly course, but you’ll want to make sure you’re already up to speed on programming basics, such as what a function does and what a variable is. So if you’re ready to get going, Python: Getting Started is waiting for you.

Course Overview
Hi everyone! My name is Bo Milanovich, and welcome to my course, Python: Getting Started.

I have been a Python developer for a long time, and I’m super excited to share my knowledge of this awesome programming language.

With Python, you can build web apps, desktop apps, do scientific computations, create scripts, artificial intelligence software, and even home automation software.

This course is a getting started course for developing python applications, and you don’t need prior experience with Python at all. Some of the major topics we will cover include installing Python on every major operating system, learning the syntax and the basic features of the language, developing a console application and converting it into a web app, and creating executable files and setup wizards from our Python app.

By the end of this course, you’ll know the basics of Python programming and be ready to develop applications on your own. From here, continue learning by diving into Python frameworks and libraries with courses on Django for web development, TensorFlow for artificial intelligence, SciPy for scientific computation, and PyQt for cross-platform desktop applications. I hope you’ll join me on this journey to learn Python with the Python: Getting Started course at Pluralsight.

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