This is the code repository for Learn Python in 3 Hours [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
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.
- 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
To fully benefit from the coverage included in this course, you will need:
Prior programming experience is assumed
This course has the following software requirements:
Minimum Hardware Requirements
For successful completion of this course, students will require the computer systems with at least the following:
OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit
Processor: Intel Core i5 or equivalent
Memory: 8 GB RAM
Storage: 35 GB available space
Recommended Hardware Requirements For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit
Processor: Intel Core i7 or equivalent
Memory: 48 GB RAM
Storage: 35 GB available space
Software Requirements
OS: Windows 7 or Windows 10
Browser: Google Chrome, Latest Version
Code Editor: Atom IDE, Latest Version
Others: Python3 installed using the Anaconda package or equivalent, Tensorflow r1.4