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kintopp : python   55

Wolfram Client Library for Python — Wolfram Client Library for Python 1.1.0 documentation
Source Code Install the library: $ pip install wolframclient Set up your Wolfram Language session: >>> from wolframclient.evaluation import WolframLanguageSession >>> from wolframclient. via Pocket
dev  python  wolfram 
10 days ago by kintopp
A Gospel of Health and Salvation
By Jeri E. Wieringa A Gospel of Health and Salvation is a work of digital history — defined as the critical application of computational technologies to the study of the past — focused on the relationship between time and gender in Seventh-day Adventism. via Pocket
diss  interactive  publishing  python 
29 days ago by kintopp
GitHub - Ludwiggle/ipynb2docx: Convert Juyter Notebooks to docx
Convert Juyter Notebooks to docx preserving LaTeX math and overall formatting. The motivation of this project has been the absence of a direct converter that produces an accurate formatting when a jupyter notebook contains in a mixture of markdown, html and LaTeX. via Pocket
conversion  latex  msword  python  tools  wolfram 
4 weeks ago by kintopp
GitHub - Ludwiggle/JWLS: Jupyter notebooks for Wolfram Language Scripts
JWLS is a slimmed down version of the Jupyter bash_kernel that pipes input cells into a wolframscript Dialog[] through a temporary fifo, and it reads the corresponding outputs from the default wolframscript log file. via Pocket
dev  python  wolfram 
may 2019 by kintopp
Announcing the Wolfram Client Library for Python—Wolfram Blog
The Wolfram Language gives programmers a unique computational language with an enormous array of sophisticated algorithms and built-in real-world knowledge. For many years, people have asked us how to access all the power of our technology from other software environments and programming languages. via Pocket
dev  python  wolfram 
may 2019 by kintopp
The MLIF Book — Machine Learning is Fun!
Machine Learning is Fun! The Book This book is for anyone who is curious about machine learning and artificial intelligence. via Pocket
books  dev  howto  learn  python  statistics  ml 
may 2019 by kintopp
GitHub - WolframResearch/WolframLanguageForJupyter: Wolfram Language kernel for Jupyter notebooks
Jupyter provides a protocol (ZMQ) to connect their notebooks to various languages. This project defines a Wolfram Language kernel which can be used in Jupyter notebooks. If the location of the Wolfram Engine changes, you will have to run configure-jupyter.wls again. via Pocket
dev  interactive  python  wolfram 
april 2019 by kintopp
graphs and networks - How can I use the Python library networkx from Mathematica? - Mathematica Stack Exchange
Below we implement a function nxFunction that automatically handles translating Mathematica expressions of interest to Python, as well as converting the results back. The usage will be Here is a barebones example that serves as a proof of concept. via Pocket
graphs  networks  python  wolfram 
april 2019 by kintopp
The Best Python Books – Real Python
Python is an amazing programming language. It can be applied to almost any programming task, allows for rapid development and debugging, and brings the support of what is arguably the most welcoming user community. via Pocket
books  python  review 
march 2019 by kintopp
Seminar »Methoden computergestützter Textanalyse«, Universität Luzern, HS 2015
Methoden computergestützter Textanalyse Universität Luzern Dozent/in Frederik Elwert, M.A. via Pocket
analysis  germany  syllabus  text  teach  python 
march 2019 by kintopp
webweb - webweb
webweb is a tool for creating, displaying, and sharing interactive network visualizations on the web, designed for simplicity and ease of use. With just a few lines of python, networkx, or matlab, webweb will build and launch a visualization in your browser.
graphs  matlab  networks  python  tools 
february 2019 by kintopp
GitHub - OCLC-Developer-Network/viaf-dates: VIAF code to parse dates.
This code parses MARC dates, written for Python 2.7. This will read the datefields.txt file, parse all of the dates in the file and output information for the 40 most common date patterns encountered. It will also tell which patterns with multiple hyphens were not parsed. via Pocket
dates  diglib  python  tools 
november 2018 by kintopp
GitHub - jiemakel/dhintro: Material for the Introduction to Methods for Digital Humanities course at the University of Helsinki
This repository is an attempt to give someone from a humanities background the absolute basic tools needed to start delving into programming by reading and dissecting ready-made examples that abound on the Internet. via Pocket
finland  humanities  learn  python  teach 
november 2018 by kintopp
TensorFlow For Poets
TensorFlow is an open source library for numerical computation, specializing in machine learning applications. In this codelab, you will learn how to run TensorFlow on a single machine, and will train a simple classifier to classify images of flowers. via Pocket
classification  humanities  images  learn  python  ml 
november 2018 by kintopp
Python Crash Course | No Starch Press
Page 207: In "Try It Yourself" 10-6, TypeError should be ValueError. via Pocket
books  learn  python 
november 2018 by kintopp
Jupyter Notebooks for Digital Archaeology (and History too!) – Electric Archaeology
As the fall academic term approaches, and we get closer to version 1.0 of the Open Digital Archaeology Text (ODATE), I thought I would share the plethora of Jupyter Notebooks we’ve put together to support the work.  (A video showing the whole ODATE project is over here on youtube). via Pocket
archaeology  interactive  python  syllabus  teach 
november 2018 by kintopp
GitHub - openeventdata/mordecai: Full text geoparsing as a Python library
Full text geoparsing as a Python library. Extract the place names from a piece of text, resolve them to the correct place, and return their coordinates and structured geographic information. Mordecai requires a running Elasticsearch service with Geonames in it. via Pocket
analysis  geo  metadata  python  tools 
october 2018 by kintopp
scikit-learn: machine learning in Python — scikit-learn 0.19.2 documentation
Identifying to which category an object belongs to. Predicting a continuous-valued attribute associated with an object. via Pocket
dev  learn  python  resources  ml 
september 2018 by kintopp
dateparser – python parser for human readable dates — DateParser 0.7.0 documentation
Documentation is built automatically and can be found on Read the Docs. The most straightforward way is to use the dateparser.parse function, that wraps around most of the functionality in the module. via Pocket
calendar  dates  dev  python  tools 
august 2018 by kintopp
convertdate · PyPI
Note that in some calendar systems, the day begins at sundown. Convertdate gives the conversion for noon of the day in question. Leap year calculations in the French Republican calendar are a matter of dispute. By default, convertdate calculates leap years using the autumnal equinox. via Pocket
calendar  dates  tools  python  dev 
august 2018 by kintopp
dateutil - powerful extensions to datetime — dateutil 2.7.3 documentation
The module provides powerful extensions to the standard datetime module, available in Python. Here’s a snapshot, just to give an idea about the power of the package. For more examples, look at the documentation. via Pocket
dates  dev  nlp  python  time 
august 2018 by kintopp
A gentle guide to deep learning object detection - PyImageSearch
I went through your previous blog post on deep learning object detection along with the followup tutorial for real-time deep learning object detection. Thanks for those. Ezekiel isn’t the only reader with those questions. via Pocket
howto  images  neural  python  recognition 
may 2018 by kintopp
The Scientific Paper Is Obsolete. Here's What's Next. - The Atlantic
Here’s what’s next. The scientific paper—the actual form of it—was one of the enabling inventions of modernity. Before it was developed in the 1600s, results were communicated privately in letters, ephemerally in lectures, or all at once in books. via Pocket
debates  interactive  management  python  wolfram 
april 2018 by kintopp
GitHub - Nanne/python-course: Tutorial and introduction into programming with Python for the humanities
We are going to use the method from the caffe guys, I think it's not that overdone: http://ift.tt/2FJW0R9 The only difference we are going to make is that we are only going to have a master branch and no dev. First get your own copy of the repo. via Pocket
learn  python 
march 2018 by kintopp
Complex Network Analysis in Python: Recognize → Construct → Visualize → Analyze → Interpret by Dmitry Zinoviev | The Pragmatic Bookshelf
Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. via Pocket
graphs  learn  networks  python 
march 2018 by kintopp
Kartograph.org
Kartograph is a simple and lightweight framework for building interactive map applications without Google Maps or any other mapping service. It was created with the needs of designers and data journalists in mind. Actually, Kartograph is two libraries. via Pocket
dev  javascript  maps  python  tools 
march 2018 by kintopp
Data Science at the Command Line
Please note that this website is currently slightly out-dated with respect to the published book.
analysis  data  learn  python  resources 
january 2018 by kintopp
Data School
Page 1 of 5 | Older → via Pocket
data  learn  python  resources  ml 
december 2017 by kintopp
Exploring and Analyzing Network Data with Python | Programming Historian
n.b.: This is a tutorial for exploring network statistics and metrics. We will therefore focus on ways to analyze, and draw conclusions from, networks without visualizing them. via Pocket
learn  networks  python 
december 2017 by kintopp
NetworkX — NetworkX
NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. via Pocket
dev  graphs  networks  python 
september 2017 by kintopp
Learn Data Science by nborwankar
Who Nitin Borwankar http://twitter.com/nitin - primary developer (Sponsored by Pivotal Inc. and Alpine Data Labs). What A collection of Data Science Learning materials in the form of IPython Notebooks. Associated data sets. via Pocket
analysis  data  learn  python  statistics 
september 2017 by kintopp
GitHub - tmbdev/ocropy: Python-based tools for document analysis and OCR
OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do some image preprocessing, and possibly also train new models. via Pocket
ocr  python  tools  ml 
september 2017 by kintopp
Introducing the HiPSTAS Audio Toolkit Workflow: Audio Labeling
Audio preservation and access presents a significant resource management issue for libraries and archives. Digitizing sound is a task that can be partly automated, but describing a recording so its contents are discoverable requires a much more labor-intensive workflow. via Pocket
audio  howto  python  tools  ml 
september 2017 by kintopp
NLP and Python Machine Learning tutorials
While machine learning has a rich history dating back to 1959, the field is evolving at an unprecedented rate. In a recent article, I discussed why the broader artificial intelligence field is booming and likely will for some time to come. via Pocket
dev  learn  python  resources  ml  deep 
august 2017 by kintopp
GitHub - DARIAH-DE/Topics: A python library for topic modeling.
Topics is a gently introduction to Topic Modeling. It provides a convientient, modular workflow that can be entirely controlled from within and which comes with a well documented Jupyter notebook, integreating the two of the most popular LDA implementations: Gensim and Mallet. via Pocket
germany  python  tools  topics 
april 2017 by kintopp
Zotero | Groups > Historical Network Research > Library
Home > Groups > Historical Network Research > Library Create Item Library Settings Cite Export Enable javascript for best results. via Pocket
howto  netherlands  networks  python 
april 2017 by kintopp
GitHub - RaRe-Technologies/gensim: Topic Modelling for Humans
Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community. via Pocket
deep  python  tools  topics  vectors  text 
april 2017 by kintopp
GitHub - vtraag/4TU-CSS: Material for a Computational Social Science (CSS) Workshop hosted by the four Dutch technical universities.
This repository hosts all information on the workshop for Computation Social Science (CSS) organised by the four technical universities in the Netherlands. More information can be found on the GitHub page. via Pocket
learn  networks  python 
april 2017 by kintopp
Deep Learning for Computer Vision with Python [ eBook ] by Adrian Rosebrock —Kickstarter
This book has one goal — to help developers, researchers, and students just like yourself become experts in deep learning for image recognition and classification. via Pocket
books  python  deep 
january 2017 by kintopp
NLTK Book
This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://ift.tt/1IaH6xU. (There are currently no plans for a second edition of the book.) via Pocket
books  learn  nlp  python 
december 2016 by kintopp
alta/ArtOfLiteraryTextAnalysis.ipynb at master · sgsinclair/alta · GitHub
Skip to content HTTPS clone URL Subversion checkout URL You can clone with or . Download ZIP Sorry, something went wrong. Reload? Sorry, we cannot display this file. Sorry, this file is invalid so it cannot be displayed. Jump to Line Something went wrong with that request. Please try again. via Pocket
analysis  learn  python  text 
december 2016 by kintopp
GitHub - teddyroland/Text-Analysis-for-Humanities-Research: Berkeley DLab Python Intensive May 23-26
In its most ambitious formulation, the digital humanities aims to articulate new research questions made available by modern computers and data methods. However, it is not immediately obvious how these fit into our existing research projects. via Pocket
analysis  python  syllabus  text  teach 
november 2016 by kintopp
My Top 9 Favorite Python Deep Learning Libraries - PyImageSearch
So you’re interested in deep learning and Convolutional Neural Networks. But where do you start? Which library do you use? There are just so many! Inside this blog post, I detail 9 of my favorite Python deep learning libraries. via Pocket
dev  python  recognition  tools  deep 
july 2016 by kintopp
DH Box
Setting up an environment for digital humanities computational work can be time-consuming and difficult. DHbox addresses this problem by streamlining installation processes and providing a digital humanities laboratory in the cloud through simple sign-in via a web browser. via Pocket
vm  omeka  python  tools 
june 2016 by kintopp
Classical Chinese DH: Getting Started | Digital Sinology
Before getting started with Python itself, it’s important to get some basic familiarity with the user interface of the Jupyter environment. Jupyter is fairly intuitive to use, partly because it runs in a web browser and so works a lot like any web page. Basic principles: via Pocket
analysis  chinese  python 
april 2016 by kintopp
Automate the Boring Stuff with Python | Practical Programming for Total Beginners
Everyone in the 21st century needs to learn to code, right? But not everyone needs to become a software engineer or computer scientist. via Pocket
books  learn  python 
may 2015 by kintopp
Welcome to Python by Example! — Python by Example
This guide aims to show examples of the most useful Python Library functions, methods, and classes. At this point, only the more widely used modules were added. Python version 2.5 was used for the examples unless noted otherwise. via Pocket
dev  learn  python 
may 2015 by kintopp
Practical Python and OpenCV: Learn Computer Vision in a Single Weekend
is your best, guaranteed quick-start guide to learning the basics of computer vision and image processing. Whether you're new to the world of computer vision or already know a thing or two, this book can teach you the basics in a single weekend. I guarantee it. Yes, I absolutely guarantee it. via Pocket
books  processing  learn  python  images 
april 2015 by kintopp
Online Python Tutor - Visualize Python, Java, and JavaScript code
Online Python Tutor is a free educational tool created by Philip Guo that helps students overcome a fundamental barrier to learning programming: understanding what happens as the computer executes each line of a program's source code. via Pocket
dev  learn  python 
february 2015 by kintopp
Announcements — IPython
While the focus of the project is Python, our architecture is designed in a language-agnostic way to facilitate interactive computing in any language. via Pocket
dev  documentation  interactive  python 
february 2015 by kintopp

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