Learn Python in 3 Hours: Ready...Steady...Python!

James Cross

₹10278.99

Video Jun 2018 2hrs 36mins 1st Edition

James Cross

₹10278.99

Video Jun 2018 2hrs 36mins 1st Edition

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Key benefits

End-to-end course that takes you from zero Python knowledge and converts you into a Python superstar.
Practical, get-it-done style focuses on results and brings you up-to-speed with Python, so that you can start a new project or enter an existing Python project with ease.
A special course that aims to pack everything you need to know about Python into 3 hours.

Description

You are a programmer. You already know many languages, but Python isn't one of them. Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides. Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it's designed from the ground up to bring you from zero to hero in the shortest time. The course is based on many years of Python development experience in both large enterprises and nimble startups. In particular, the course's hands-on and practical approach comes from the author's experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key. With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow. All the resource files are added to the GitHub repository at https://github.com/packtpublishing/learn-python-in-3-hours

Who is this book for?

This course is for programmers at all experience levels who would like to transition into developing using Python. Prior programming experience is assumed

What you will learn

Set up your own development environment on Windows to create Python applications
Use special Python features to speed up list comprehensions and small functions
Leverage the wide range of pre-made packages on PyPI
Manage different projects with a myriad of dependencies
Use classes and create objects with OOP using Python
Use special Python techniques such as decorators and context managers
Perform data science using scikit-learn, pandas, and matplotlib

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