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COLLECTED BY
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
Collection: Archive Team: URLs
●// Python tips and tutorials
●// Python and the web
●// Algorithms
●// Plotting and Visualization
●// Benchmarks
●// Python and "Data Science"
●// Useful scripts and snippets
●// Other
●// Links
Python tips and tutorials [back to top]
A collection of not so obvious Python stuff you should know! [IPython nb]
Python's scope resolution for variable names and the LEGB rule [IPython nb]
Key differences between Python 2.x and Python 3.x [IPython nb]
A thorough guide to SQLite database operations in Python [Markdown]
Unit testing in Python - Why we want to make it a habit [Markdown]
Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [Markdown]
Sorting CSV files using the Python csv module [IPython nb]
Using Cython with and without IPython magic [IPython nb]
Parallel processing via the multiprocessing module [IPython nb]
Entry point: Data - using sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb]
Awesome things that you can do in IPython Notebooks (in progress) [IPython nb]
A collection of useful regular expressions [IPython nb]
Quick guide for dealing with missing numbers in NumPy [IPython nb]
A random collection of useful Python snippets [IPython nb]
Things in pandas I wish I'd had known earlier [IPython nb]
Python and the web [back to top]
Creating internal links in IPython Notebooks and Markdown docs [IPython nb]
Converting Markdown to HTML and adding Python syntax highlighting [Markdown]
Algorithms and Data Structures [back to top]
This category has been moved to a separate GitHub repository rasbt/algorithms_in_ipython_notebooks
Sorting Algorithms [Collection of IPython Notebooks
Linear regression via the least squares fit method [IPython nb]
Dixon's Q test to identify outliers for small sample sizes [IPython nb]
Counting points inside a hypercube [IPython nb]
Singly Linked List [ IPython nbviewer ]
Plotting and Visualization [back to top]
The matplotlib-gallery in IPython notebooks has been moved to a separate GitHub repository matplotlib-gallery
Featured articles:
●Preparing Plots for Publication [IPython nb]
Benchmarks [back to top]
●Simple tricks to speed up the sum calculation in pandas [IPython nb]
*More benchmarks can be found in the separate GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Python-benchmark-per-day)*
Featured articles:
(C)Python compilers - Cython vs. Numba vs. Parakeet [IPython nb]
Just-in-time compilers for NumPy array expressions [IPython nb]
Cython - Bridging the gap between Python and Fortran [IPython nb]
Parallel processing via the multiprocessing module [IPython nb]
Vectorizing a classic for-loop in NumPy [IPython nb]
Python and "Data Science" [back to top]
The "data science"-related posts have been moved to a separate GitHub repository pattern_classification
Featured articles:
Entry Point: Data - Using Python's sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb]
About Feature Scaling: Standardization and Min-Max-Scaling (Normalization) [IPython nb]
Principal Component Analysis (PCA) [IPython nb]
Linear Discriminant Analysis (LDA) [IPython nb]
Kernel density estimation via the Parzen-window technique [IPython nb]
Useful scripts and snippets [back to top]
watermark - An IPython magic extension for printing date and time stamps, version numbers, and hardware information.
Shell script For prepending Python-shebangs to .py files.
A random string generator function.
Converting large CSV files to SQLite databases using pandas.
Sparsifying a matrix by zeroing out all elements but the top k elements in a row using NumPy.
Other [back to top]
●Python book reviews
●Happy Mother's Day Plot
Links [back to top]
PyPI - the Python Package Index - The official repository for all open source Python modules and packages.
PEP 8 - The official style guide for Python code.
PEP 257 - Python's official docstring conventions; pep257 - Python style guide checker
// News
Python subreddit - My favorite resource to catch up with Python news and great Python-related articles.
Python community on Google+ - A nice and friendly community to share and discuss everything about Python.
Python Weekly - A free weekly newsletter featuring curated news, articles, new releases, jobs etc. related to Python.
// Resources for learning Python
Dive Into Python / Dive Into Python 3 - A free Python book for experienced programmers.
The Hitchhiker’s Guide to Python - A free best-practice handbook for both novices and experts.
Think Python - How to Think Like a Computer Scientist - An introduction for beginners starting with basic concepts of programming.
A Byte of Python - a free book on programming using the Python language.
Python Patterns - A directory of proven, reusable solutions to common programming problems.
Intro to Computer Science - Build a Search Engine & a Social Network - A great, free course for learning Python if you haven't programmed before.
// My favorite Python projects and packages
The IPython Notebook - An interactive computational environment for combining code execution, documentation (with Markdown and LateX support), inline plots, and rich media all in one document.
matplotlib - Python's favorite plotting library.
NumPy - A library for multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays.
SciPy - A library that provides various useful functions for numerical computing, such as modules for optimization, linear algebra, integration, interpolation, ...
pandas - High-performance, easy-to-use data structures and data analysis tools build on top of NumPy.
Cython - C-extensions for Python, an optimizing static compiler to combine Python and C code.
Numba - A just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)
scikit-learn - A powerful machine learning library for Python and tools for efficient data mining and analysis.
