385 projects for "apostila-python" with 2 filters applied:

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  • 1
    Climate Modeling Courseware

    Climate Modeling Courseware

    Interactive lecture notes and assignments in Jupyter notebook format

    ...The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations and figures. This repository contains a collection of linked Jupyter notebooks with lecture notes, examples and assignments. All notebooks are self-describing.
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  • 2

    pytkapp

    Python package for develop an SDI/MDI application and set of widgets.

    =========== pytkapp =========== Python package for develop an application that provide multi-documents/single-document interface with using of tkinter library and set of additional tkinter widgets. See available demos: pytkapp/demo/run_ptaoptionsdemo.py - run GUI demo for option's container (available widgets, rules) pytkapp/demo/run_ptamdidemo.py - run demo of MDI application pytkapp/demo/run_ptasdidemo.py - run demo of SDI application pytkapp/demo/run_tkwbasicdemo.py - run demo of basic widgets pytkapp/demo/run_tkwtldemo.py - run demo of tablelist-based widgets pytkapp/demo/run_diademo.py - run demo for dialog widgets (selector, xmessage) Notes ========= 1) PyTkApp package was tested on python 2.7, 3.1 2) If you planning to use tablelist-based widgets then you need to download tcl Tablelist package from http://www.nemethi.de/
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  • 3
    pyCraft

    pyCraft

    Minecraft-client networking library in Python

    Minecraft Python Client Library. This project aims to be a modern, Python3-compatible, well-documented library for communication with a Minecraft server. Although pyCraft is compatible any supported server, only a subset of all packets are currently decoded or encoded by the library: those necessary to remain connected to the server, those used for chat, and some others.
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  • 4
    Tensor Algebra Compiler

    Tensor Algebra Compiler

    The Tensor Algebra Compiler (taco) computes sparse tensor expressions

    A fast and versatile compiler-based library for sparse linear and tensor algebra. TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and...
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  • 5
    tkColorPicker

    tkColorPicker

    Color picker dialog for Tkinter, alternative to tkinter.colorchooser

    The tkcolorpicker module contains a `ColorPicker` class which implements the color picker dialog and an `askcolor` function that displays the color picker and returns the chosen color in RGB and HTML formats.
    Downloads: 1 This Week
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  • 6
    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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  • 7
    MITIE

    MITIE

    MITIE: library and tools for information extraction

    ...MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications.
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  • 8
    CFD Python

    CFD Python

    Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes

    CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof.
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  • 9
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
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  • 10

    Autologging

    Easier logging and tracing of Python functions and class methods.

    ..."autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
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  • 11
    WIP

    WIP

    Create Siri Shortcuts with Python

    python-shortcuts is a library to create Siri Shortcuts on your laptop with your favorite text editor. It uses toml to represent shortcuts. The library is in a very early development state (PR welcome!), so it does not support all actions from the Shortcuts app.
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  • 12
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
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  • 13
    Ponder

    Ponder

    C++ reflection library with Lua binding, and JSON and XML

    ...For example, Ponder can be used to expose and edit objects' attributes in a graphical user interface. It can also be used to do automatic binding of C++ classes to script languages such as Python or Lua. Another possible application would be the serialization of objects to XML, text or binary formats. Or you can even combine all these examples to provide a powerful and consistent interface for manipulating your objects outside C++ code.
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  • 14
    Python/xarray tutorial

    Python/xarray tutorial

    Python/xarray tutorial for GEOS-Chem users

    If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda management system. ...
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  • 15
    cnn-text-classification-tf

    cnn-text-classification-tf

    Convolutional Neural Network for Text Classification in Tensorflow

    The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution...
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  • 16
    Compare GAN

    Compare GAN

    Compare GAN code

    compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With...
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  • 17
    tkFontChooser

    tkFontChooser

    Simple font chooser dialog for tkinter

    A simple font chooser for Tkinter that allow the user to select the font family among the fonts available on his/her system. The size and style (bold, italic, underline, strikethrough) of the text can be set too. This module contains a `FontChooser` class which implements the font chooser and an `askfont` function that displays the font chooser and returns the chosen font when the user closes the font chooser. The font is returned as a dictionary like the one returned by the...
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  • 18

    Aglyph

    Aglyph is a Dependency Injection framework for Python.

    ...Aglyph can be configured using a declarative XML syntax, or programmatically in pure Python using a fluent API.
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  • 19
    Zhao

    Zhao

    A compilation of "The Princely Party Relationship Network"

    zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates...
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  • 20
    Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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  • 21
    jsondata

    jsondata

    Modular JSON by trees and branches, pointers and patches

    The 'jsondata' package provides for the modular in-memory processing of JSON data by trees, branches, pointers, and patches. The main interface classes are: - JSONData - Core for RFC7159 based data structures. Provides modular data components. - JSONDataSerializer - Core for RFC7159 based data persistence. Provides modular data serialization. - JSONPointer - RFC6901 for addressing by pointer paths. Provides pointer arithmetics. - JSON Relative Pointer -...
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  • 22
    vimpyter

    vimpyter

    Edit your Jupyter notebooks in Vim/Neovim

    Input/output cells are displayed using a custom syntax file and folding. See your edits by starting Jupyter Notebook/Nteract application with a single command/mapping (just remember to save your modifications). You may have to reload the browser page/app to see the effects.
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  • 23
    Pyrlang

    Pyrlang

    Erlang node implemented in Python 3.5+ (Asyncio-based)

    This is a drop-in Erlang node implementation in Python 3, implementing a network Erlang node protocol. It was designed to allow interoperation between existing Python projects and BEAM languages: Erlang, Elixir, Gleam, Luaerl, LFE, Clojerl, and such. With just a few lines of startup code your Python program becomes an Erlang network node, participating in the Erlang cluster.
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  • 24
    pivottablejs

    pivottablejs

    Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook

    PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing...
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  • 25
    chemfiles

    chemfiles

    Modern library for chemistry file reading and writing

    Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
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