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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

atchem2

Atmospheric chemistry box-model for the MCM

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

cp2k_for_windows

CP2K binaries for 32bit Windows

cpython

The Python programming language

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

everyone-can-use-english

人人都能用英语

hyperion

Hyperion Radiative Transfer Code

jupyter

Jupyter metapackage for installation, docs and chat

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

matplotlib

matplotlib: plotting with Python

mddscat

update of ddscat

mstm-spectrum

Python wrapper for multiple sphere T-matrix (MSTM) code and Mie theory to calculate surface plasmon resonance (SPR) spectrum and fit it to experiment

mstm-wrapper

Python wrapper around Daniel Mackowski's MSTM scattering code

normalweatherr

R package to conduct meteorological/weather normalisation on air quality

openairmaps

mapping functions to support openair

openspecy-package

Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra

opticaltweezerstutorial

Optical Tweezers - A Comprehensive Tutorial from Calibration to Applications

ott

Optical Tweezers Toolbox (Version 1)

photophoretic-force

py4e-cn

www.py4e.com 和 Python 3.0 书的源码

py6s

A Python interface to the 6S Radiative Transfer Model

pydisort

Python wrapper to the radiative transfer solver DISORT.

pymiescatt

A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations

python

This repository helps you understand python from the scratch.

python-100-days

Python - 100天从新手到大师

python-is-for-lovers

My coworkers often ask me for Python learning resources. Here are some picks. Many skill levels, emphasis on beginner and intermediate.