🖥 Email Archiver —is an efficient Python tool for archiving emails across multiple accounts.
It allows you to add, update, and delete accounts, search through archived emails, and view detailed information about each message.
https://github.com/bandundu/email-archiver
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🆔 @Python4all_pro
It allows you to add, update, and delete accounts, search through archived emails, and view detailed information about each message.
https://github.com/bandundu/email-archiver
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🆔 @Python4all_pro
🖥 Stay Undetected While Scraping the Web
How to Easily Send HTTP Requests That Simulate a Browser
Simulate browser data when scraping websites to remain undetected
- Mask TLS request fingerprints using the curl_cffi package
- Automatically extract metadata from HTML responses, including page title, description, author and more.
- Easily convert HTML responses to lxml and BeautifulSoup objects.
📌 Github
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🆔 @Python4all_pro
How to Easily Send HTTP Requests That Simulate a Browser
Simulate browser data when scraping websites to remain undetected
- Mask TLS request fingerprints using the curl_cffi package
- Automatically extract metadata from HTML responses, including page title, description, author and more.
- Easily convert HTML responses to lxml and BeautifulSoup objects.
pip install stealth_requests
📌 Github
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🆔 @Python4all_pro
🖥 reCAPTCHAv2
A Python tool that solves 100% of the problems and beats the success rates of previous tools, which ranged from 68% to 71%.
repo: https://github.com/aplesner/Breaking-reCAPTCHAv2
abs: https://arxiv.org/abs/2409.08831
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🆔 @Python4all_pro
A Python tool that solves 100% of the problems and beats the success rates of previous tools, which ranged from 68% to 71%.
repo: https://github.com/aplesner/Breaking-reCAPTCHAv2
abs: https://arxiv.org/abs/2409.08831
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🆔 @Python4all_pro
📸 Kazam2: Linux screen recording software
Kazam 2.0 is a versatile Python tool for screen recording, broadcasting, and optical character recognition (OCR).
▪Github
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🆔 @Python4all_pro
Kazam 2.0 is a versatile Python tool for screen recording, broadcasting, and optical character recognition (OCR).
pip install -U kazam
▪Github
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🆔 @Python4all_pro
🖥 DualStyleGAN
A neural network in Python for creating portraits in different styles from photographs of people
git clone https://github.com/williamyang1991/DualStyleGAN.git
cd DualStyleGAN
▪Github: https://github.com/williamyang1991/DualStyleGAN
▪Paper: https://arxiv.org/abs/2203.13248v1
▪Video: https://www.youtube.com/watch?v=scZTu77jixI
▪Project: https://www.mmlab-ntu.com/project/dualstylegan/
▪Dataset: https://paperswithcode.com/dataset/ffhq
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A neural network in Python for creating portraits in different styles from photographs of people
git clone https://github.com/williamyang1991/DualStyleGAN.git
cd DualStyleGAN
▪Github: https://github.com/williamyang1991/DualStyleGAN
▪Paper: https://arxiv.org/abs/2203.13248v1
▪Video: https://www.youtube.com/watch?v=scZTu77jixI
▪Project: https://www.mmlab-ntu.com/project/dualstylegan/
▪Dataset: https://paperswithcode.com/dataset/ffhq
#python
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🆔 @Python4all_pro
🖥 ده کتابخانه کوچک پایتون برای کار با داده ها
• PyGWalker: PyGWalker simplifies the workflow for analyzing and visualizing data in Jupyter Notebook by turning a pandas data frame (or polars data frame) into a Tableau-style user interface for visual exploration.
• SciencePlots: Creates professional matplotlib plots for presentations, research papers, and more.
• CleverCSV: Eliminates parsing errors when reading CSV files with Pandas.
•
• Fastparquet: Speeds up pandas I/O by 5x.
• Bottleneck: Speeds up NumPy methods by 25x. Especially if the array has NaN values.
• Multipledispatch: Provides methods for overloading functions in Python.
• Aquarel: Additional matplotlib plot styles.
• Modelstore: A library of machine learning models for better tracking of model performance.
• Pigeon: Helps you annotate data with mouse clicks in Jupyter notebook.
• Nbcommands: Helps you easily search code in Jupyter notebooks instead of doing it manually.
📌More details with code examples
#python
#Python_tricks
#library
#علم_داده
🆔 @Python4all_pro
• PyGWalker: PyGWalker simplifies the workflow for analyzing and visualizing data in Jupyter Notebook by turning a pandas data frame (or polars data frame) into a Tableau-style user interface for visual exploration.
• SciencePlots: Creates professional matplotlib plots for presentations, research papers, and more.
• CleverCSV: Eliminates parsing errors when reading CSV files with Pandas.
•
• Fastparquet: Speeds up pandas I/O by 5x.
• Bottleneck: Speeds up NumPy methods by 25x. Especially if the array has NaN values.
• Multipledispatch: Provides methods for overloading functions in Python.
• Aquarel: Additional matplotlib plot styles.
• Modelstore: A library of machine learning models for better tracking of model performance.
• Pigeon: Helps you annotate data with mouse clicks in Jupyter notebook.
• Nbcommands: Helps you easily search code in Jupyter notebooks instead of doing it manually.
📌More details with code examples
#python
#Python_tricks
#library
#علم_داده
🆔 @Python4all_pro
"LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance."
https://github.com/ModelTC/lightllm
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🆔 @Python4all_pro
https://github.com/ModelTC/lightllm
#python
#Python_tricks
🆔 @Python4all_pro
🖥 تکنولوژی جدید در برنامه نویسی پایتون – LangChain
؛LangChain یک کتابخانه قدرتمند است که ایجاد برنامه های کاربردی بر اساس مدل های زبان را آسان می کند و به شما امکان می دهد اجزای مختلفی را ادغام کنید: از کار با API ها تا پردازش متن و ایجاد گفتگوهای پویا تا LLM از طریق API.
💡 با LangChain می توانید به راحتی دستیار، چت ربات و موارد دیگر ایجاد کنید.
LangChain
#python
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🆔 @Python4all_pro
؛LangChain یک کتابخانه قدرتمند است که ایجاد برنامه های کاربردی بر اساس مدل های زبان را آسان می کند و به شما امکان می دهد اجزای مختلفی را ادغام کنید: از کار با API ها تا پردازش متن و ایجاد گفتگوهای پویا تا LLM از طریق API.
💡 با LangChain می توانید به راحتی دستیار، چت ربات و موارد دیگر ایجاد کنید.
LangChain
#python
#Python_tricks
🆔 @Python4all_pro