Search Results for "python2-pandas" - Page 4
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Showing 110 open source projects for "python2-pandas"
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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namedtupledefs3
Pacthed namedtuple for field defaults.
The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2. -
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pythonids
Enumeration of Python implementations and releases
The ‘pythonids‘ package provides the enumeration of Python syntaxes and the categorization of Python implementations. This enables the development of fast and easy portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The current supported syntaxes are Python2.7+ and Python3 for the Python implementations: CPython IPython (based on CPython) IronPython Jython PyPy -
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pysourceinfo
RTTI for Python Source and Binary Files
...The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and Windows - Python2, Python3 - CPython, PyPy Object addresses within modules - Object Identifier OID - and the display of the runtime call flow are supported by 'PyStackInfo'. Online documents: https://pysourceinfo.sourceforge.io/ -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. ... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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JTSDK
Build Systems for WSJT Applications
JTSDK is a pre-configured collection of open source cross platform development frameworks, Gnu tools, libraries and custom written scripts designed to ease compiling WSJT applications and documentation from source code. WINDOWS APPLICATIONS ---------------------------------------------------------------------- * JTSDK-QT.......: WSJT-X, WSPR-X and MAP65 * JTSDK-PY........: WSJT and WSPR * JTSDK-DOC....: All WSJT Documentation * JTSDK-MSYS..: General Compiling LINUX... -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
...No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow. -
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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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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. Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. ... -
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Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months"
This project lays out a 12-week plan to go from basics to a portfolio-ready understanding of data science. It breaks the journey into clear stages: Python fundamentals, data wrangling, visualization, statistics, machine learning, and end-to-end projects. The schedule mixes learning and doing, encouraging you to build small deliverables each week—like notebooks, dashboards, and model demos—to reinforce skills. It also includes suggestions for datasets and problem domains so you aren’t stuck... -
MyQ Print Management SoftwareBoost your digital or traditional workplace with MyQ’s secure print and scan solutions that respect your time and help you focus on what you do best.
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...Script is free, Api connection paid. script works with Python 3 /ssl, parse, request/ ( file sendsms python3.zip) for Python 2 version, you can download (file sendsms python2.zip) Instruction: Download script, Change ******* to Proovl https://www.proovl.com token and user ID (message and phone number), Open terminal (Apple mac) or cmd.exe (Command Prompt) for windows. Run script Python sendsms2.py or Python3 sendsms3.py Done! https://www.virtnumber.com/ https://www.youtube.com/watch?v=h43VIM11ZzM Python Bulk SMS script: https://sourceforge.net/projects/python-bulk-sms-api/ https://github.com/aarnhub/python-sms-sender
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pmsearch
A simple wrapper to pretty-print pacman -Ss output
... * Makes a best-effort attempt to highlight the text that matches your search. * All behaviors are controllable from the command line. Installation is done using a standard Python setup.py script: [sudo] python2 setup.py install [Note that pmsearch uses Python2 so you should use python2 to install it.] -
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AerinSistemas-Noname
Elasticsearch to Pandas dataframe or CSV
...The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development). -
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Amateur Radio Lab
Amateur Radio Lab
An amateur radio Linux has gcc, gcc-c++, gnuradio, gnuradio-devel, gnuradio-examples, gr-iio, gr-iio-devel, python2-gr-iio, quisk, fldigi, fmtools, fmtools-tkradio, fllog, gr-rds, tlp-rdw, ax25-apps, soundmodem, LinLog, flnet, fbb, horst, xlog, libax25, twlog, cqrlog, hamlib-c++, tcl-hamlib, gr-fcdproplus, perl-hamlib, uronode, python2-hamlib, gr-iqbal, python-hamlib, grig, chirp, flmsg, linsim, gr-osmosdr, xpsk31, codec2, xconvers, trustedqsl, libad9361, gqrx, hamlib, hamlib-devel, callgit, urh, aprsd, xfhell, hamlib-c++-devel, dxcc, lpsk31, perl-Ham-Reference-QRZ, gpredict, qrq, flrig, xnec2c, nec2c, viking, enca, gqrx, freedv, wsjtx installed. -
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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 exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). ... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
...The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested under GPU and python3. But in theory there shouldn't be too many problems on python2 and CPU. The basic part (the first five chapters) explains the content of PyTorch. This part introduces the main modules in PyTorch and some tools commonly used in deep learning. ... -
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Skadoosh
A project that highly compresses android sources and uploads them here
...The result is a source tarball having a size which is much smaller than the stuff synced manually. Why name it "Skadoosh"? Well, as the urban dictionary defines it, it is a term used to do stuff at one go. And I love pandas. -
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Raiola Manda Y No El Panda
Juego en que Raiola Manda a un grupo de Pandas - AutoUploader
Juego en que Raiola deberá enfrentarse contra un grupo de pandas para ver quien manda, para ello podrá atacar a los osos pandas y así adquirir score que lo mantendrá en la cima de la tabla de posiciones. Juego Raiola Manda y No El Panda por Rodrhigo de AutoUploader -
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Krisk
Statistical Interactive Visualization with pandas+Jupyter integration
Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization. -
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Leave A Trace Tools
Tools for reading the track data of the project "Leave a Trace"
...If you want to use the visualization tool, as well, you'll need python2, along with the modules "numpy", "scipy" and "PyQt4". How to use: 1. Start the script 2. click the load button and select a compressed LAT-XML-file 3. click on "render SVG" (save somewhere) -
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lxnstack
A program to align and stack astronomical images.
... * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation. * FITS file support (by installing the python2 package 'astropy') * Hot pixels suppression algorithm * CR2 files native support * Can load/save video * Grayscale RAW image support * Editing of result image's levels. * Light curve generation -
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HomeDNS
This is a tiny DNS server only for family used.
This is a tiny DNS server only for family used. Support python2 and python3. https://github.com/liuyug/homedns -
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
...Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic, sequence variation, and expression datasets is now available. Please visit the Cloudomics, project for cloud-based resources: https://sourceforge.net/projects/cloudomics-for-aws/ -
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py3mtp
python3 variant of pymtp
...>>This project is retired,<< pymtp is an excellent library to link python and libmtp to access mtp devices. The version created by Nick Devito (https://pypi.python.org/pypi/PyMTP) works only with python2. Finally created a draft icon (suggestions welcome). -
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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Tushare
TuShare is a utility for crawling historical data of China stocks
Tushare is a Python library that provides access to a wide range of financial data focused on the Chinese stock market. It allows users to retrieve real-time and historical market data, financial reports, index data, and macroeconomic indicators. Tushare is widely used in quantitative trading, data analysis, and academic research. It supports both free and premium data tiers via Tushare Pro, which requires an API token.
