You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
👉An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter's API.
Twint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out sensitive information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.
Twint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow without any authentication, API, Selenium, or browser emulation.
tl;dr Benefits
Some of the benefits of using Twint vs Twitter API:
Can fetch almost all Tweets (Twitter API limits to last 3200 Tweets only);
Fast initial setup;
Can be used anonymously and without Twitter sign up;
👉This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
This repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 7,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more.
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
Tooling that automates your social media interactions to “farm” Likes, Comments, and Followers on Instagram
Implemented in Python using the Selenium module.
Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server.
Check out home-assistant.io <https://home-assistant.io>__ for a demo <https://home-assistant.io/demo/>, installation instructions <https://home-assistant.io/getting-started/>, tutorials <https://home-assistant.io/getting-started/automation-2/>__ and documentation <https://home-assistant.io/docs/>__.
Do you know anything that can help all to easy our tough life than tell that secret to us and help us to become lazy like Panda
Update 1 :
Thanks for all contributors my panda stopped cycling now 🛴
Update 2 :
Cheers to all, my panda removed exercise from daily schedule 🤸♂️
And it's okay if you're not aware of process. Kindly raise query by creating pull request (In query template). Here is the link for that how to create a pull request in other's Repo
👉Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
😎TOPICS: python,pytorch,artificial-intelligence
⭐️STARS:9194, 今日上升数↑:16
👉README:
Fairseq(-py) is a sequence modeling toolkit that allows researchers and
developers to train custom models for translation, summarization, language
modeling and other text generation tasks.
We provide reference implementations of various sequence modeling papers:
This is a repository of all the scripts and other tools for removing DRM from ebooks that I could find, committed in date order as best as I could manage. (Except for the Requiem tools for Apple's iBooks, and Convert LIT for Microsoft's .lit ebooks.)
Mostly it tracks the tools released by Apprentice Alf, athough it also includes the individual tools and their histories from before Alf had a blog.
Users should download the latest zip archive.
Developers might be interested in forking the repository, as it contains unzipped versions of those tools that are zipped to make the changes over time easier to follow.
For the latest Amazon KFX format, users of the calibre plugin should also install the KFX Input p...
👉holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
If you have any suggestions, please do not hesitate to contact us.
holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
👉Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
😎TOPICS: ``
⭐️STARS:15443, 今日上升数↑:51
👉README:
Overview
This repository provides code, exercises and solutions for popular Reinforcement Learning algorithms. These are meant to serve as a learning tool to complement the theoretical materials from
Each folder in corresponds to one or more chapters of the above textbook and/or course. In addition to exercises and solution, each folder also contains a list of learning goals, a brief concept summary, and links to the relevant readings.
All code is written in Python 3 and uses RL environments from OpenAI Gym. Advanced techniques use Tensorflow for neural network implementations.
These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.
The code in the notebooks and python .py files is covered by the GPL v3 license; see the LICENSE file for details.
The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other ...
The videos on the left show the driving videos. The first row on the right for each dataset shows the source videos. The bottom row contains the animated sequences with motion transferred from the driving video and object taken from the source image. We trained a separate network for each task.
VoxCeleb Dataset
Fashion Dataset
MGIF Dataset
Installation
We support python3. To install the dependencies run:
pip install -r requirements.txt
YAML configs
There are several configuration (config/dataset_name.yaml) files one for each `da...
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.
Familiarity with Python as a language is assumed; if you need...
Python随身听-2020-10-13-技术精选
🤩Python随身听-技术精选: /twintproject/twint
👉An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
😎TOPICS:
osint,twitter,python,scrape,tweets,elasticsearch,kibana,scrape-followers,scrape-likes,scrape-following,twint,tweep
⭐️STARS:7930, 今日上升数↑:142
👉README:
TWINT - Twitter Intelligence Tool
Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter's API.
Twint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out sensitive information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.
Twint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow without any authentication, API, Selenium, or browser emulation.
tl;dr Benefits
Some of the benefits of using Twint vs Twitter API:
Limits imposed by Twi...
地址:https://github.com/twintproject/twint
🤩Python随身听-技术精选: /TurboWay/big_screen
👉数据大屏可视化
😎TOPICS: ``
⭐️STARS:472, 今日上升数↑:122
👉README:
big_screen
数据大屏可视化
功能
便利性工具, 结构简单, 直接传数据就可以实现数据大屏
安装
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple flask
运行
python app.py;
地址:https://github.com/TurboWay/big_screen
🤩Python随身听-技术精选: /The-Art-of-Hacking/h4cker
👉This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
😎TOPICS:
hacking,penetration-testing,hacking-series,video-course,cybersecurity,ethical-hacking,ethicalhacking,hacker,exploit,exploits,exploit-development,vulnerability,vulnerability-scanners,vulnerability-assessment,vulnerability-management,vulnerability-identification,awesome-lists,awesome-list,training,hackers
⭐️STARS:7593, 今日上升数↑:149
👉README:
Cyber Security Resources
This repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 7,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more.
The Art of Hacking Series
The [...
地址:https://github.com/The-Art-of-Hacking/h4cker
🤩Python随身听-技术精选: /CorentinJ/Real-Time-Voice-Cloning
👉Clone a voice in 5 seconds to generate arbitrary speech in real-time
😎TOPICS:
deep-learning,pytorch,tensorflow,tts,voice-cloning,python
⭐️STARS:20163, 今日上升数↑:268
👉README:
Real-Time Voice Cloning
This repository is an implementation of Transfer Learning from Speaker Verification to
Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. Feel free to check my thesis if you're curious or if you're looking for info I haven't documented. Mostly I would recommend giving a quick look to the figures beyond the introduction.
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
Video demonstration (click the picture):
Papers implemented
地址:https://github.com/CorentinJ/Real-Time-Voice-Cloning
🤩Python随身听-技术精选: /scikit-learn/scikit-learn
👉scikit-learn: machine learning in Python
😎TOPICS:
machine-learning,python,statistics,data-science,data-analysis
⭐️STARS:42590, 今日上升数↑:16
👉README:
.. -- mode: rst --
|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |PythonVersion|_ |PyPi|_ |DOI|_
.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=master
.. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=master
.. |Travis| image:: https://api.travis-ci.org/scikit-learn/scikit-learn.svg?branch=master
.. _Travis: https://travis-ci.org/scikit-learn/scikit-learn
.. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=master&service=github
.. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=master
.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/master.svg?style=shield&circle-token=:circle-token
.. _CircleCI: https://circleci.com/gh/scikit-learn/scikit-learn
.. |PythonVersion| image:: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue
.. _PythonVersion: https://img.shields.io/badge/python-3.6...
地址:https://github.com/scikit-learn/scikit-learn
🤩Python随身听-技术精选: /timgrossmann/InstaPy
👉📷 Instagram Bot - Tool for automated Instagram interactions
😎TOPICS:
instagram,clarifai,automation,script,python,selenium,bot
⭐️STARS:11671, 今日上升数↑:15
👉README:
InstaPy
Tooling that automates your social media interactions to “farm” Likes, Comments, and Followers on Instagram Implemented in Python using the Selenium module.
地址:https://github.com/timgrossmann/InstaPy
🤩Python随身听-技术精选: /home-assistant/core
👉:house_with_garden: Open source home automation that puts local control and privacy first
😎TOPICS:
python,home-automation,iot,internet-of-things,mqtt,raspberry-pi,asyncio,hacktoberfest
⭐️STARS:36192, 今日上升数↑:26
👉README:
Home Assistant |Chat Status|
Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server.
Check out
home-assistant.io <https://home-assistant.io>
__ fora demo <https://home-assistant.io/demo/>
,installation instructions <https://home-assistant.io/getting-started/>
,tutorials <https://home-assistant.io/getting-started/automation-2/>
__ anddocumentation <https://home-assistant.io/docs/>
__.|screenshot-states|
Featured integrations
|screenshot-components|
The system is built using a modular approach so support for other devices or actions can be implemented easily. See also the `section on architecture <https://developers.home-assistant.io/docs/en/architectu...
地址:https://github.com/home-assistant/core
🤩Python随身听-技术精选: /facebookresearch/TransCoder
👉Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
😎TOPICS: ``
⭐️STARS:863, 今日上升数↑:13
👉README:
TransCoder
Pytorch original implementation of TransCoder in Unsupervised Translation of Programming Languages
Dependencies
pip install sacrebleu=="1.2.11"
)If your
libclang.so
is not in/usr/lib/llvm-7/lib/
, replace the path tolibclang.so
to the correct path ...地址:https://github.com/facebookresearch/TransCoder
🤩Python随身听-技术精选: /python-geeks/Automation-scripts
👉Repo for creating awesome automation scripts to make my panda lazier
😎TOPICS:
python,automation,hacktoberfest,hacktoberfest2020,hacktoberfest-accepted
⭐️STARS:49, 今日上升数↑:15
👉README:
Automation-scripts
Do you know anything that can help all to easy our tough life than tell that secret to us and help us to become lazy like Panda
Update 1 :
Thanks for all contributors my panda stopped cycling now 🛴
Update 2 :
Cheers to all, my panda removed exercise from daily schedule 🤸♂️
And it's okay if you're not aware of process. Kindly raise query by creating pull request (In query template). Here is the link for that how to create a pull request in other's Repo
How to create pull request
These are my Lazy Panda Goals
Goal Achieved - 59/75
Goal 25 - Panda stopped Cycling (Completed)
Goal 50 - Panda stopped doing Exercise
Goal 75 - Panda stopped Playing outdoor games
Goal 100 - Panda hire someone for cleaning house
Leave a star => Contribution in arranging Food for panda 😴
...
地址:https://github.com/python-geeks/Automation-scripts
🤩Python随身听-技术精选: /donnemartin/system-design-primer
👉Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
😎TOPICS:
programming,development,design,design-system,system,design-patterns,web,web-application,webapp,python,interview,interview-questions,interview-practice
⭐️STARS:109031, 今日上升数↑:90
👉README:
*English ∙ 日本語 ∙ 简体中文 ∙ 繁體中文 | العَرَبِيَّة ∙ বাংলা ∙ Português do Brasil ∙ Deutsch ∙ ελληνικά ∙ עברית ∙ Italiano ∙ 한국어 ∙ فارسی ∙ Polski ∙ русский язык ∙ Español ∙ [...
地址:https://github.com/donnemartin/system-design-primer
🤩Python随身听-技术精选: /pytorch/fairseq
👉Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
😎TOPICS:
python,pytorch,artificial-intelligence
⭐️STARS:9194, 今日上升数↑:16
👉README:
Fairseq(-py) is a sequence modeling toolkit that allows researchers and
developers to train custom models for translation, summarization, language
modeling and other text generation tasks.
We provide reference implementations of various sequence modeling papers:
🤩Python随身听-技术精选: /jackfrued/Python-100-Days
👉Python - 100天从新手到大师
😎TOPICS: ``
⭐️STARS:93907, 今日上升数↑:96
👉README:
Python - 100天从新手到大师
Python应用领域和职业发展分析
简单的说,Python是一个“优雅”、“明确”、“简单”的编程语言。
Python在以下领域都有用武之地。
地址:https://github.com/jackfrued/Python-100-Days
🤩Python随身听-技术精选: /Ciphey/Ciphey
👉⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
😎TOPICS:
decryption,natural-language-processing,cryptography,cipher,artificial-intelligence,ctf-tools,ctf,cpp,python,hacking,pentesting,deep-neural-network,hashes,cyberchef-magic,encryptions,encodings,hacktoberfest
⭐️STARS:5038, 今日上升数↑:53
👉README:
Translations
🇮🇩 ID 🇮🇹 IT 🇩🇪 DE 🇭🇺 HU 🇳🇱 NL 🇧🇷 PT-BR 🇷🇺 RU 🇫🇷 FR 🇨🇳 ZH
➡️ Documentation | Discord | https://github.com/Ciphey/Ciphey
🤩Python随身听-技术精选: /apprenticeharper/DeDRM_tools
👉DeDRM tools for ebooks
😎TOPICS: ``
⭐️STARS:8598, 今日上升数↑:18
👉README:
DeDRM_tools
DeDRM tools for ebooks
This is a repository of all the scripts and other tools for removing DRM from ebooks that I could find, committed in date order as best as I could manage. (Except for the Requiem tools for Apple's iBooks, and Convert LIT for Microsoft's .lit ebooks.)
Mostly it tracks the tools released by Apprentice Alf, athough it also includes the individual tools and their histories from before Alf had a blog.
Users should download the latest zip archive.
Developers might be interested in forking the repository, as it contains unzipped versions of those tools that are zipped to make the changes over time easier to follow.
For the latest Amazon KFX format, users of the calibre plugin should also install the KFX Input p...
地址:https://github.com/apprenticeharper/DeDRM_tools
🤩Python随身听-技术精选: /Pitt-CSC/Summer2021-Internships
👉Collection of Summer 2021 tech internships!
😎TOPICS:
interview-preparation,internships,hacktoberfest
⭐️STARS:2173, 今日上升数↑:13
👉README:
Summer 2021 Internships ☀️👩💻
Use this repo to share and keep track of any tech-related internships. For a Google Sheet 📝 version of this repo (that remains in sync with this table) click here! For more tips on the internship process check out the Zero to Offer 📈 program here.
📫 Want weekly internship postings in your inbox? Join the internship newsletter here!
🎓 Check out our New Grad repo here.
🤗 Contribute by submitting a pull request or filling out this form! 🤗
The List 👔
地址:https://github.com/Pitt-CSC/Summer2021-Internships
🤩Python随身听-技术精选: /Jrohy/multi-v2ray
👉v2ray多用户管理部署程序
😎TOPICS:
v2ray,vmess,http2,websockets,multi-v2ray,multiple,socks5,mtproto,trojan,vless
⭐️STARS:4223, 今日上升数↑:13
👉README:
multi-v2ray
V2ray多用户管理脚本,向导式管理[新增|删除|修改]传输协议,享受V2ray的乐趣~
中文 English
特色
安装完成显示配置信息;
功能
地址:https://github.com/Jrohy/multi-v2ray
🤩Python随身听-技术精选: /tmrowco/electricitymap-contrib
👉A real-time visualisation of the CO2 emissions of electricity consumption
😎TOPICS:
sustainability,d3,data-visualization,climate-change,hacktoberfest
⭐️STARS:1688, 今日上升数↑:15
👉README:
electricityMap
A real-time visualisation of the Greenhouse Gas (in terms of CO2 equivalent) footprint of electricity consumption built with d3.js and mapbox GL, maintained by Tomorrow. Try it out at http://www.electricitymap.org, or download the app on Google Play or App store.
Contribute
Thank you for your interest. Check out the Wiki for how to get started. Also have a look at our current issues and discussions
Here are some of the ways you can contribute:
地址:https://github.com/tmrowco/electricitymap-contrib
🤩Python随身听-技术精选: /megadose/holehe
👉holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
😎TOPICS:
information-gathering,osint,osint-tools,open-source-intelligence,python,email,social-network
⭐️STARS:156, 今日上升数↑:19
👉README:
Holehe
Educational purposes only
If you have any suggestions, please do not hesitate to contact us.
holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
Project example : Holehe Maltego
Demo
💡 Prerequisite
Python 2/3
🛠️ Installation
With PyPI
With Github
git clone https://github.com/megadose/holehe.git
cd holehe/
python3 setup.py install
📚 Example
holehe -e [email protected]
📈 U...
地址:https://github.com/megadose/holehe
🤩Python随身听-技术精选: /dennybritz/reinforcement-learning
👉Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
😎TOPICS: ``
⭐️STARS:15443, 今日上升数↑:51
👉README:
Overview
This repository provides code, exercises and solutions for popular Reinforcement Learning algorithms. These are meant to serve as a learning tool to complement the theoretical materials from
Each folder in corresponds to one or more chapters of the above textbook and/or course. In addition to exercises and solution, each folder also contains a list of learning goals, a brief concept summary, and links to the relevant readings.
All code is written in Python 3 and uses RL environments from OpenAI Gym. Advanced techniques use Tensorflow for neural network implementations.
Table of Contents
地址:https://github.com/dennybritz/reinforcement-learning
🤩Python随身听-技术精选: /simoninithomas/Deep_reinforcement_learning_Course
👉Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
😎TOPICS:
deep-reinforcement-learning,qlearning,deep-learning,tensorflow-tutorials,tensorflow,ppo,a2c,actor-critic,deep-q-network,deep-q-learning,pytorch,unity
⭐️STARS:2582, 今日上升数↑:26
👉README:
Deep Reinforcement Learning Course
Syllabus
Part 1: Introduction to Deeep Reinforcement Learning
📜 ARTICLE Introduction to Deep Reinforcement Learning
📹 VIDEO Introduction to Deep Reinforcement Learning
Part 2: Q-learning with FrozenLake
📜 [ARTICLE](h...
地址:https://github.com/simoninithomas/Deep_reinforcement_learning_Course
🤩Python随身听-技术精选: /fastai/fastbook
👉The fastai book, published as Jupyter Notebooks
😎TOPICS:
notebooks,fastai,deep-learning,machine-learning,data-science,python,book
⭐️STARS:9654, 今日上升数↑:13
👉README:
English / Spanish / Korean / Chinese
The fastai book
These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.
The code in the notebooks and python
.py
files is covered by the GPL v3 license; see the LICENSE file for details.The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change of format or medium, other ...
地址:https://github.com/fastai/fastbook
🤩Python随身听-技术精选: /AliaksandrSiarohin/first-order-model
👉This repository contains the source code for the paper First Order Motion Model for Image Animation
😎TOPICS:
deep-learning,image-animation,generative-model,motion-retargeting
⭐️STARS:8023, 今日上升数↑:24
👉README:
First Order Motion Model for Image Animation
This repository contains the source code for the paper First Order Motion Model for Image Animation by Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci and Nicu Sebe.
Example animations
The videos on the left show the driving videos. The first row on the right for each dataset shows the source videos. The bottom row contains the animated sequences with motion transferred from the driving video and object taken from the source image. We trained a separate network for each task.
VoxCeleb Dataset
Fashion Dataset
MGIF Dataset
Installation
We support
python3
. To install the dependencies run:pip install -r requirements.txt
YAML configs
There are several configuration (
config/dataset_name.yaml
) files one for each `da...地址:https://github.com/AliaksandrSiarohin/first-order-model
🤩Python随身听-技术精选: /jakevdp/PythonDataScienceHandbook
👉Python Data Science Handbook: full text in Jupyter Notebooks
😎TOPICS:
scikit-learn,numpy,python,jupyter-notebook,matplotlib,pandas
⭐️STARS:25864, 今日上升数↑:16
👉README:
Python Data Science Handbook
This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.
How to Use this Book
Read the book in its entirety online at https://jakevdp.github.io/PythonDataScienceHandbook/
Run the code using the Jupyter notebooks available in this repository's notebooks directory.
Buy the printed book through O'Reilly Media
About
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.
Familiarity with Python as a language is assumed; if you need...
地址:https://github.com/jakevdp/PythonDataScienceHandbook
🤩Python随身听-技术精选: /CoreyMSchafer/code_snippets
👉None
😎TOPICS: ``
⭐️STARS:5858, 今日上升数↑:14
👉README:
code_...
地址:https://github.com/CoreyMSchafer/code_snippets
The text was updated successfully, but these errors were encountered: