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Modin: Speed up your Pandas workflows by changing a single line of code
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare
cuDF - GPU DataFrame Library
Open Machine Learning Course
Python Data Science Handbook: full text in Jupyter Notebooks
Practice your pandas skills!
Missing data visualization module for Python.
Create HTML profiling reports from pandas DataFrame objects
High performance datastore for time series and tick data
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.
TuShare is a utility for crawling historical data of China stocks
Recipes for using Python's pandas library
Pandas integration with sklearn
🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si
A Python module for creating Excel XLSX files.
NumPy and Pandas interface to Big Data
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The pandas library is a powerful tool for multiple phases of the data science workflow, including data cleaning, visualization, and exploratory data analysis.
PyData DC 2018 Most of your time is going to involve processing/cleaning/munging data. How do you know your data is clean? Sometimes you know what you ...
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If you are working on data science, you must know about pandas python module. Pandas and python makes data science and analytics extremely easy and ...
"Speaker: Brandon Rhodes The typical Pandas user learns one dataframe method at a time, slowly scraping features together through trial and error until they ...