778 Open source projects that are alternatives of or similar to Xarray

Parallel computing with task scheduling

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Awesome Spectral Indices in Python.

《利用Python进行数据分析·第2版》

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Open Data Cube analyses continental scale Earth Observation data through time

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Python Cheat Sheet NumPy, Matplotlib

Distance Recognition of a Human Being with Deep CNN's

Type System for Data Analysis in Python

Explorando aspectos fundamentais da matemática com Python e Jupyter

공공데이터 분석

Use AI to generate a optimized stock portfolio

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

For extensive instructor led learning

A constantly updated python machine learning cheatsheet

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Technical Analysis Library using Pandas and Numpy

This repository consists of all my Machine Learning Projects.

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

A New, Interactive Approach to Learning Data Visualization

Content from the University of British Columbia's Master of Data Science course DSCI 511.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Kai Sheng Teh - Udacity Data Analyst Nanodegree

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

A complete docker package for deploying django which is easy to understand and deploy anywhere.

📖 [译] 利用 Python 进行数据分析 · 第 2 版

Intel® Scalable Dataframe Compiler for Pandas*

Repository to store sample python programs for python learning

SQL on dataframes - pandas and dask

Precompiled packages for AWS Lambda

A collection of notebooks of my Machine Learning class written in python 3

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Open Machine Learning Course

Credit Risk analysis by using Python and ML

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Alpine Container for Machine Learning

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Achieve your marketing goals with the data analytics power of Python

Materiály k předmětu NI-PYT na FIT ČVUT

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Performance analysis of predictive (alpha) stock factors

This repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈

机器学习数据，预测趋势并画图

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)