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

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Pandas

Solve short hands-on challenges to perfect your data manipulation skills.

Subjects:: Computing
Keywords:: Python (Computer program language) Electronic data processing Information visualization
Resource Type:: Others

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Geospatial Analysis

Create interactive maps, and discover patterns in geospatial data.

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

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Feature Engineering

Discover the most effective way to improve your models.

Subjects:: Computing
Keywords:: Machine learning Data mining Python (Computer program language)
Resource Type:: Others

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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

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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.

Subjects:: Computing
Keywords:: Python (Computer program language)
Resource Type:: Others

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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

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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

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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