Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Others

Data Analysis with Python

Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way writing programs with Python!

Subjects:: Computing
Keywords:: Computer programming Python (Computer program language) Information visualization Computer science
Resource Type:: Others

Others

freeCodeCamp - Data Analysis with Python

In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.

Course related:: AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
Subjects:: Mathematics and Statistics and Computing
Keywords:: Computer programming Computer science Python (Computer program language)
Resource Type:: Others

Others

Scikit Learn - User Guide

This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started work on this project as part of his thesis. In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel of INRIA took leadership of the project and made the first public release, February the 1st 2010. Since then, several releases have appeared following a ~ 3-month cycle, and a thriving international community has been leading the development.

Course related:: EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and Information Processing
Subjects:: Computing
Keywords:: Machine learning Python (Computer program language)
Resource Type:: Others

Others

GeoPandas 0.10.2+0.g04d377f.dirty

GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plottin

Subjects:: Land Surveying and Geo-Informatics and Computing
Keywords:: Geospatial data -- Data processing Python (Computer program language)
Resource Type:: Others

Others

Google Colab

Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with
(1) Zero configuration required
(2) Free access to GPUs
(3) Easy sharing
Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier. Watch Introduction to Colab to learn (https://www.youtube.com/watch?v=inN8seMm7UI) more, or just get started below!

Course related:: COMP3011 Machine Learning and Data Analytics
Subjects:: Computing
Keywords:: Computer programming Computer science Python (Computer program language)
Resource Type:: Others

Others

Google's Python Class

Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. Beyond that, you do not need to be an expert programmer to use this material. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise. The end of each written section includes a link to the code exercise for that section's material. The lecture videos parallel the written materials, introducing Python, then strings, then first exercises, and so on. At Google, all this material makes up an intensive 2-day class, so the videos are organized as the day-1 and day-2 sections. This material was created by Nick Parlante working in the engEDU group at Google. Special thanks for the help from my Google colleagues John Cox, Steve Glassman, Piotr Kaminksi, and Antoine Picard. And finally thanks to Google and my director Maggie Johnson for the enlightened generosity to put these materials out on the internet for free under the Creative Commons Attribution 2.5 license -- share and enjoy!

Course related:: COMP1002 Computational Thinking
Subjects:: Computing
Keywords:: Python (Computer program language)
Resource Type:: Others

Others

Python For Beginners

Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in!

Course related:: EIE3343 Computer System Principles
Subjects:: Computing
Keywords:: Python (Computer program language)
Resource Type:: Others

Others

Scikit-learn

Scikit Learn provide simple and efficient tools for predictive data analysis. Assessible to everybody, and reusable in various contexts. It built on NumPy, SciPy, and matplotlib. It is open sources, commercially usable under the BSD License.