Telegram

The records of 42 million users from a third-party version of the popular Telegram messaging app have just been Iranian accounts leaked

The records of 42 million users from a third-party version of the popular Telegram messaging app have just been Iranian accounts leaked.If these figures don’t include duplicate accounts, this means around half of Iran’s citizens were affected by the hack, according to population estimates from 2017.so I decided to use these accounts for scraping and finding the data users simply with this algorithm.source: https://decrypt.co/24034/telegram-fork-leaks-data-of-42-million-users first, you should be adding the data file name in the first file handling input(telegramdatabasse.txt). I […]

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Tiktok

Tiktok 2 Instagram With Python

About The Project What it does: Download the source video from a user inputted Tiktok URL. 📙 Add audio to the Tiktok video from a folder of your audio files. 🎵 Crop the video to fit the aspect ratio of an instagram post (square by default but you can change this!) 📐 Output the edited video to a folder of your choice. 📩 Who should use this? Of course anyone is free to download and use it, but this program […]

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Calendar

A graphical user interface calendar with python

A graphical user interface calendar with python In this project I used tkinter module If you dont have tkinter module you can install it by this … > Write this code in your terminal! Also I used calendar module , which is an built in module for python. With this program, you can know the date of the days of each year that you want. GitHub View Github    

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Segmentation

Implement object segmentation on images using HOG algorithm proposed in CVPR 2005

Description HOG (Histograms of Oriented Gradients) Algorithm is an algorithm aiming to realize object segmentation (edge detection) on images before CNN models are widely used. Reference Navneet Dalal and Bill Triggs, Histograms of Oriented Gradients, CVPR 2005 Getting Started Clone this repository git clone https://github.com/LeoTheBestCoder/HOG_implementation.git Install related libraries pip install opencv-python pip install numpy pip install matplotlib Put your input image under same directory and modify line 10 in image.py (include filename extension) Run the script Demostration Input Image

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HTTP

HTTP graph database built in Python 3

HTTP graph database built in Python 3. Reference Format References are strings in the format:{[email protected]} Authentication Currently, there is no authentication system. I’m working to implement one. Query depth Currently, there is no query depth. I’m working to implement it. HTTP API Query node by reference GET /{[email protected]}Response 200 with JSON body Query nodes by group GET /@GROUPResponse 200 with JSON body Insert node with reference PUT /{[email protected]}Request must have JSON bodyResponse 201 with Location header Insert node    

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Discord

Discord.py Bot Series With Python

YouTube Playlist: https://www.youtube.com/playlist?list=PL9nZZVP3OGOAx2S75YdBkrIbVpiSL5oc5 Installation pip install -r requirements.txt Python Packages Discord.py: https://discordpy.readthedocs.io/en/latest/intro.html Pillow: https://pillow.readthedocs.io/en/stable/installation.html Python-dotenv: https://pypi.org/project/python-dotenv/ Requests: https://pypi.org/project/requests/ Dateutil: https://pypi.org/project/python-dateutil/ Tabulate: https://pypi.org/project/tabulate/ Matplotlib: https://matplotlib.org/stable/users/installing.html Pandas: https://pandas.pydata.org/docs/getting_started/index.html Black: https://black.readthedocs.io/en/stable/installation_and_usage.html Documentations Discord: https://discord.com/developers/docs/intro Discord.py: https://discordpy.readthedocs.io/en/latest/index.html Pillow: https://pillow.readthedocs.io/en/stable/index.html GitHub View Github    

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Sequences

Annotates sequences with Eggnog-mapper and hhblits against PDB70

See config/ for configuration information. This workflow takes as input a set of protein sequences. It clusters them and thenfunctionally annotates the clusters’ representatives using Eggnog DB, and picks those without KO annotationstocontinue the process. These “hypothetical proteins” get aligned by hhblits against Uniclust30 and then against PDB70. Testing Decompress selected_seqs_by_size.tar.gz and use that path in the config file (already set). To see the commands being executed (-p) without an actual execution of the workflow, use -n.-r prints the “reason” […]

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Generator

Library for Russian imprecise rhymes generation

Library for Russian imprecise rhymes generation. Quick Start Generate rhymes by any given rhyme scheme (aabb, abab, aaccbb, etc …): from tom_rhymer.rhymer import Rhymer rhymer = Rhymer.load() for rhyme in rhymer.get_rhymes_by_scheme(‘abab’): print(str(rhyme)) # предоставленными # отличите # доставлена # ограничительных Generate rhymes word by word:

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