Python Fire

https://pypi.python.org/pypi/fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Python Fire is a simple way to create a CLI in Python.
Python Fire is a helpful tool for developing and debugging Python code.
Python Fire helps with exploring existing code or turning other people's code into a CLI.
Python Fire makes transitioning between Bash and Python easier.
Python Fire makes using a Python REPL easier by setting up the REPL with the modules and variables you'll need already imported and created.

Getting Started with Time Series

http://pyflux.readthedocs.io/en/latest/getting_started.html

PyFlux is an open source library in Python built specifically for working with time series. The study of time series is a subfield of statistics and econometrics, and the goals can be describing how time series behave (in terms of latent components or features of interest), and also predicting how

Welcome to imbalanced-learn documentation!

http://contrib.scikit-learn.org/imbalanced-learn/

In an ideal world, we would have perfectly balanced datasets and we would all train models and be happy. Unfortunately, the real world is not like that, and certain tasks favor very imbalanced data. For example, when predicting fraud in credit card transactions, you would expect that the vast majority of the transactions (+99.9%?) are actually legit. Training ML(machine_learning) algorithms naively will lead to dismal performance, so extra care is needed when working with these types of datasets.

Imbalanced-learn is a Python package which offers implementations of some of those techniques, to make your life much easier.

FlashText’s documentation

http://flashtext.readthedocs.io/en/latest/

This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm.

Creating an Executable from a Python Script

Python is one of my favorite programming languages. That being said, if you've ever had to deploy an application written in Python then you know just how painful it can be.

Fortunately, there are some pretty awesome open-source tools that can be used to package a Python program into a standalone binary executable that contains everything needed to run the application (i.e. Python interpreter, program code, libraries, data, etc.).

Cython_C-Extentions_for_Python

http://cython.org

About Cython

Cython is an optimising static compiler for both the Pythonprogramming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself.

Cython gives you the combined power of Python and C to let you

• write Python code that calls back and forth from and to C or C++ code natively at any point.
• easily tune readable Python code into plain C performance by adding static type declarations.
• use combined source code level debugging to find bugs in your Python, Cython and C code.
• interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays.
• quickly build your applications within the large, mature and widely used CPython ecosystem.
• integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications.

Internet History, Technology, and Security, Python for Everybody, and Web Applications for Everybody

https://online.dr-chuck.com/about.php

This is the web site of the "University of Dr. Chuck". I teach a number of free/online/open courses based on free and open materials and this site is the course catalog for my free courses.