Search Results for "numpy python 2.7" - Page 8

Showing 382 open source projects for "numpy python 2.7"

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  • 1

    Ecuacion curva demanda

    Determinacion de ecuación de curva de demanda

    Usa Pandas, numpy y tkinter de python para desarrollar un algoritmo que al ingresar los datos históricos de demanda de energía devuelve como resultado una ecuación que puede ser usada para modelamiento, simulación y proyecciones
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  • 2
    Raven Python

    Raven Python

    Raven is the legacy Python client for Sentry

    Raven is the official legacy Python client for Sentry, officially supports Python 2.6–2.7 & 3.3–3.7, and runs on PyPy and Google App Engine. It tracks errors and exceptions that happen during the execution of your application and provides instant notification with detailed information needed to prioritize, identify, reproduce, and fix each issue. It provides full out-of-the-box support for many of the popular Python frameworks, including Django, and Flask. ...
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  • 3
    Python Data Science Tutorials

    Python Data Science Tutorials

    Common data analysis and machine learning tasks using python

    Python Data Science Tutorials is a curated learning repository for common data analysis, machine learning, and natural language processing tasks in Python. It combines external tutorials, courses, reference guides, notebooks, articles, and selected code examples. The collection begins with Python fundamentals and then moves into scientific computing, statistics, NumPy, pandas, data exploration, and visualization.
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  • 4
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector...
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  • 5
    data-science-ipython-notebooks

    data-science-ipython-notebooks

    Data science Python notebooks: Deep learning

    Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action.
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  • 6
    howmanypeoplearearound

    howmanypeoplearearound

    Count the number of people around you by monitoring wifi signals

    howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include, monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc. There are a number of possible USB WiFi adapters that support monitor...
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  • 7
    pyspread

    pyspread

    Python spreadsheet application

    Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Dependencies + Python (>=2.7, <3.0) + numpy (>=1.1.0) + wxPython (>=2.8.10.1, Unicode version required) + matplotlib (>=1.1.1) + pycairo (>=1.8.8) Optional dependencies + python-gnupg (>=0.3.0, for opening own files without approval) + xlrd (>=0.9.2, for loading Excel® files) + xlwt (>=0.9.2, for saving Excel files, pyspread >=v0.3.0 required) + jedi (>=0.8.0, for tab completion and context help in the entry line, pyspread >=v0.3.0 required) + basemap (>=1.0.7, for the weather example pys file)
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  • 8
    base64io

    base64io

    A stream implementation for Python that provides transparent base64

    A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream. This project is designed to develop a class, :class:`base64io.Base64IO`, that implements a streaming interface for Base64 encoding. Python has supported native Base64 encoding since version 2.4. However, there is no streaming interface for Base64 encoding, and none is available from the community. The legacy base64.encode and base64.decode interface lets you shuffle data between...
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  • 9
    FilterPy

    FilterPy

    Python Kalman filtering and optimal estimation library

    NumPy and SciPy handle the numerical work, with Matplotlib commonly used for visualization. The library accompanies the book Kalman and Bayesian Filters in Python and is useful for learning, prototyping, tracking, navigation, and estimation experiments.
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  • 10

    CoVaMa

    Co-Variation Mapper

    ...CoVaMa requires python version 2.7 and Numpy.
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  • 11
    PySptools

    PySptools

    Hyperspectral algorithms for Python

    A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ...
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  • 12
    Security Monkey

    Security Monkey

    Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs

    Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time. Security Monkey monitors your AWS and GCP accounts for policy changes and alerts on insecure configurations. Support is available for OpenStack public and private clouds. Security Monkey can also watch and monitor your GitHub organizations, teams, and repositories. It provides a single UI to browse and search through all of your accounts, regions, and cloud services. The monkey remembers...
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  • 13

    Aglyph

    Aglyph is a Dependency Injection framework for Python.

    Aglyph is a Dependency Injection framework for Python, supporting type 2 (setter) and type 3 (constructor) injection. Aglyph runs on CPython (http://www.python.org/) 2.7 and 3.4+, and on recent versions of the PyPy (http://pypy.org/>),Jython (http://www.jython.org/), IronPython (http://ironpython.net/), and Stackless Python (http://www.stackless.com/) variants. Aglyph can assemble "prototype" components (a new instance is created every time), "singleton" components (the same instance is returned every time), "borg" components (a new instance is created every time, but all instances of the same class share the same internal state), and "weakref" components (the same instance is returned as long as there is at least one "live" reference to the instance in the running application). ...
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  • 14
    Vaex

    Vaex

    Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python

    Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive...
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  • 15

    OverlapPER

    Overlapping Paired-End Reads accurately

    OverlapPER: Overlap Paired-End Reads OverlapPER can be used when one needs to merge overlapping paired-end reads Requirements Python 2.7+ Usage python overlapper.py <forward_reads.fastq> <reverse_reads.fastq> <min_overlap> <min_similarity> Contributors Renato Oliveira - renato.renison@gmail.com Gisele Nunes - gilopesnunes@gmail.com Ronnie Alves - ronnie.alves@itv.org Claudomiro Sales - claudomiro.sales@gmail.com Guilherme Oliveira - guilherme.oliveira@itv.org Contacts renato.renison@gmail.com
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  • 16
    pySBOL

    pySBOL

    SWIG-Python wrappers for libSBOL

    pySBOL is a SWIG-Python wrapper around libSBOL, a module for reading, writing, and constructing genetic designs according to the standardized specifications of the Synthetic Biology Open Language (SBOL). This page provides binary installers for Windows operating system for Python 2.7 and 3.6. For installation instructions, visit: https://pysbol2.readthedocs.io/en/latest/installation.html For full documentation, visit: https://pysbol2.readthedocs.io/en/latest/index.html
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  • 17
    Grumpy

    Grumpy

    Grumpy is a Python to Go source code transcompiler and runtime

    Grumpy is a Python-to-Go transcompiler and runtime designed as a near drop-in replacement for CPython 2.7 that compiles Python source to Go, then to native code. Instead of executing Python bytecode in a VM, Grumpy translates modules into Go code that calls a Go runtime library emulating Python semantics, which can yield performance and deployment benefits in Go ecosystems.
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  • 18

    River Simulations and Python

    Management of river simulations with Python

    The scripts and example projects are supplement of the paper "Integration of Python and HEC-RAS for automation of river flow and transport simulations". The paper is prepared by Tomasz Dysarz. Name of software: HEC-RAS and Python Developer: Tomasz Dysarz Mail address: Poznan University of Life Sciences, Department of Hydraulic and Sanitary Engineering, ul. Piatkowska 94A, 60-649 Poznan, POLAND E-mail address: tdysarz@gmail.com Hardware required: PC that supports Python Software required: Python 2.7.x, HEC-RAS 5.0.3 Programming language: Python 2.7.x
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  • 19
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    ...Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy.
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  • 20

    DualTranscriptDiscovery

    Transcript-discovery approach for gene feature delimitation by RNA-seq

    This project contains Python scripts usable for a dual transcript-discovery approach that improves the delimitation of gene features from RNA-seq data in the chicken model. Documentation: http://bio.biologists.org/content/biolopen/suppl/2018/01/17/bio.028498.DC1/BIO028498supp.pdf Citation: Orgeur M., Martens M., Börno S. T., Timmermann B., Duprez D. and Stricker S. (2018). A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the...
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  • 21
    Pygorithm

    Pygorithm

    A Python module for learning all major algorithms

    A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument.
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  • 22
    Caffe2

    Caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework

    Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform...
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  • 23

    PyVE

    PyVE is image analysis and visualization environment

    PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects.
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  • 24
    REST framework JWT Auth

    REST framework JWT Auth

    JSON Web Token Authentication support for Django REST Framework

    JSON Web Token Authentication support for Django REST Framework. This package provides JSON Web Token Authentication support for Django REST framework. Unlike some more typical uses of JWTs, this module only generates authentication tokens that will verify the user who is requesting one of your DRF protected API resources. The actual request parameters themselves are not included in the JWT claims which means they are not signed and may be tampered with. You should only expose your API...
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  • 25
    an accurate 3D representation of the solar system Planets, Comets, Asteroids and their orbits written in Python 2.7. Animation feature allows to determine positions on orbit for any past or future dates.
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