Code Stars
Get ahead of the game with Code Stars! Our platform sends you notifications about the hottest GitHub repositories that are rapidly gaining popularity. Don't miss out - join us now and be the first to discover the trending repositories that everyone will be talking about soon!
Get ahead of the game with Code Stars! Our platform sends you notifications about the hottest GitHub repositories that are rapidly gaining popularity. Don't miss out - join us now and be the first to discover the trending repositories that everyone will be talking about soon!
❤15👍4💯3
How to Download Files From URLs With Python
https://realpython.com/python-download-file-from-url
https://t.me/CodeProgrammer
Please more reaction with our posts
https://realpython.com/python-download-file-from-url
https://t.me/CodeProgrammer
Please more reaction with our posts
❤15👍8
🔥 Master Data Science for free
📂 Computer Science 101
https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
📂 Machine Learning Specialization
https://coursera.org/specializations/machine-learning-introduction
📂 Artificial Intelligence for Robotics
https://udacity.com/course/artificial-intelligence-for-robotics--cs373
📂 Designing Your Career
https://online.stanford.edu/courses/tds-y0003-designing-your-career
📂 Stanford: Game Theory
https://online.stanford.edu/courses/soe-ycs0002-game-theory
📂 Machine Learning with Python
https://www.freecodecamp.org/learn/machine-learning-with-python/
📂 Probability and Statistics: To P or Not To P? (Coursera)
https://www.coursera.org/learn/probability-statistics
📂 Numpy complete free course
https://www.youtube.com/playlist?list=PLysMDSbb9Hcz3Gdi9oV-btohZ9zhths-r
📂Advanced Machine Learning
https://www.kaggle.com/learn/intro-to-machine-learning
📂 Stat 110: Harvard University (YouTube)
https://www.youtube.com/watch?v=KbB0FjPg0mw&list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo&index=1
📂 The Open Source Data Science Masters
https://github.com/datasciencemasters/go
📂 Google - artificial intelligence for everyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂Microsoft - AI for Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM - AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Harvard - Introduction to Artificial Intelligence with Python
https://cs50.harvard.edu/ai/2023
📂 Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 Deep Learning - Finetuning Large Language Models
https://deeplearning.ai/short-courses/finetuning-large-language-models/
📂Microsoft - AI Basics in Azure
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
https://t.me/CodeProgrammer
📂Linux Foundation
https://edx.org/learn/computer-programming/the-linux-foundation-data-and-ai-fundamentals
📂 12 Linux courses:
https://t.me/linuxkalii/538
📂 Alison - 13 free AI courses
https://alison.com/tag/artificial-intelligence
📂 Artificial Intelligence Projects:
https://mygreatlearning.com/academy/learn-for-free/courses/artificial-intelligence-projects
📂 Introduction to Internet of Things:
https://online.stanford.edu/courses/xee100-introduction-internet-things
📂 Graph Search, Shortest Paths, and Data Structures
https://coursera.org/learn/algorithms-graphs-data-structures
📂 Python:
http://cs50.harvard.edu/python/2022/
📂 Machine Learning:
http://developers.google.com/machine-learning/crash-course
📂 Deep Learning
http://introtodeeplearning.com
📂 Data Analysis
http://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
📂 Linear algebra:
http://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
📂 Algebra basics
https://www.khanacademy.org/math/algebra-basics
📂 Excel and PowerBI
http://learn.microsoft.com/training/paths/modern-analytics/
📂 Data visualization:
http://pll.harvard.edu/course/data-science-visualization
📂 PowerBI
http://learn.microsoft.com/users/collinschedler-0717/collections/m14nt4rdwnwp04
📂 Tableau:
http://tableau.com/learn/training
📂 Statistics:
http://cognitiveclass.ai/courses/statistics-101
📂 SQL:
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
https://t.me/CodeProgrammer
Please more reaction with our posts
📂 Computer Science 101
https://online.stanford.edu/courses/soe-ycscs101-computer-science-101
📂 Machine Learning Specialization
https://coursera.org/specializations/machine-learning-introduction
📂 Artificial Intelligence for Robotics
https://udacity.com/course/artificial-intelligence-for-robotics--cs373
📂 Designing Your Career
https://online.stanford.edu/courses/tds-y0003-designing-your-career
📂 Stanford: Game Theory
https://online.stanford.edu/courses/soe-ycs0002-game-theory
📂 Machine Learning with Python
https://www.freecodecamp.org/learn/machine-learning-with-python/
📂 Probability and Statistics: To P or Not To P? (Coursera)
https://www.coursera.org/learn/probability-statistics
📂 Numpy complete free course
https://www.youtube.com/playlist?list=PLysMDSbb9Hcz3Gdi9oV-btohZ9zhths-r
📂Advanced Machine Learning
https://www.kaggle.com/learn/intro-to-machine-learning
📂 Stat 110: Harvard University (YouTube)
https://www.youtube.com/watch?v=KbB0FjPg0mw&list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo&index=1
📂 The Open Source Data Science Masters
https://github.com/datasciencemasters/go
📂 Google - artificial intelligence for everyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂Microsoft - AI for Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM - AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Harvard - Introduction to Artificial Intelligence with Python
https://cs50.harvard.edu/ai/2023
📂 Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 Deep Learning - Finetuning Large Language Models
https://deeplearning.ai/short-courses/finetuning-large-language-models/
📂Microsoft - AI Basics in Azure
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
https://t.me/CodeProgrammer
📂Linux Foundation
https://edx.org/learn/computer-programming/the-linux-foundation-data-and-ai-fundamentals
📂 12 Linux courses:
https://t.me/linuxkalii/538
📂 Alison - 13 free AI courses
https://alison.com/tag/artificial-intelligence
📂 Artificial Intelligence Projects:
https://mygreatlearning.com/academy/learn-for-free/courses/artificial-intelligence-projects
📂 Introduction to Internet of Things:
https://online.stanford.edu/courses/xee100-introduction-internet-things
📂 Graph Search, Shortest Paths, and Data Structures
https://coursera.org/learn/algorithms-graphs-data-structures
📂 Python:
http://cs50.harvard.edu/python/2022/
📂 Machine Learning:
http://developers.google.com/machine-learning/crash-course
📂 Deep Learning
http://introtodeeplearning.com
📂 Data Analysis
http://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
📂 Linear algebra:
http://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
📂 Algebra basics
https://www.khanacademy.org/math/algebra-basics
📂 Excel and PowerBI
http://learn.microsoft.com/training/paths/modern-analytics/
📂 Data visualization:
http://pll.harvard.edu/course/data-science-visualization
📂 PowerBI
http://learn.microsoft.com/users/collinschedler-0717/collections/m14nt4rdwnwp04
📂 Tableau:
http://tableau.com/learn/training
📂 Statistics:
http://cognitiveclass.ai/courses/statistics-101
📂 SQL:
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
https://t.me/CodeProgrammer
Please more reaction with our posts
❤41👍18❤🔥1💯1
😲 Awesome useful Python scripts
Useful ready-made Python scripts.
1. JSON ↔️ CSV (Fig.1)
2. Password generator (Fig.2)
3. String search from several files (Fig.3)
4. Retrieving all links from a given web page (Fig.4)
5. Add a watermark (Fig.5)
6. Parser and image loader from WEB page (Fig.6)
7. Sorting the download folder (Fig.7)
8. Bulk email sending from a CSV file (Fig.8)
9. Obtaining the IP address and hostname of the website (Fig.9)
10. Progress bar of the terminal (Fig.10)
🔗 Scripts: https://uproger.com/udivitelnye-sczenarii-python/
https://t.me/CodeProgrammer
Please more reaction with our posts
Useful ready-made Python scripts.
1. JSON ↔️ CSV (Fig.1)
2. Password generator (Fig.2)
3. String search from several files (Fig.3)
4. Retrieving all links from a given web page (Fig.4)
5. Add a watermark (Fig.5)
6. Parser and image loader from WEB page (Fig.6)
7. Sorting the download folder (Fig.7)
8. Bulk email sending from a CSV file (Fig.8)
9. Obtaining the IP address and hostname of the website (Fig.9)
10. Progress bar of the terminal (Fig.10)
🔗 Scripts: https://uproger.com/udivitelnye-sczenarii-python/
https://t.me/CodeProgrammer
Please more reaction with our posts
❤30👍17💯2
💼 Briefcase
Briefcase is a tool for converting a Python project into a standalone native application.
▪ Github: https://github.com/beeware/briefcase
▪Tutorial: https://briefcase.readthedocs.io/en/stable/
https://t.me/CodeProgrammer
Please more reaction with our posts
Briefcase is a tool for converting a Python project into a standalone native application.
▪ Github: https://github.com/beeware/briefcase
▪Tutorial: https://briefcase.readthedocs.io/en/stable/
https://t.me/CodeProgrammer
Please more reaction with our posts
👍34❤14
How to Perform Face Detection with Deep Learning
Face detection is a computer vision problem that involves finding faces in photos.
It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier. More recently deep learning methods have achieved state-of-the-art results on standard benchmark face detection datasets. One example is the Multi-task Cascade Convolutional Neural Network, or MTCNN for short.
In this tutorial, you will discover how to perform face detection in Python using classical and deep learning models.
https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/
https://t.me/CodeProgrammer
Please more reaction with our posts
Face detection is a computer vision problem that involves finding faces in photos.
It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier. More recently deep learning methods have achieved state-of-the-art results on standard benchmark face detection datasets. One example is the Multi-task Cascade Convolutional Neural Network, or MTCNN for short.
In this tutorial, you will discover how to perform face detection in Python using classical and deep learning models.
https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/
https://t.me/CodeProgrammer
Please more reaction with our posts
❤14👍7👏2
Python | Machine Learning | Coding | R
Photo
🖥 Free Courses and Guides That Will Teach You How to Master AI:
📂 Elements of AI
https://elementsofai.com
📂 Learn Prompting
https://learnprompting.org
📂 Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
📂 AI for everyone
https://coursera.org/learn/ai-for-everyone
📂 500+ AI Chatbot Prompt Templates
https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller
📂 Prompt Engineering
https://youtu.be/_ZvnD73m40o
📂 ChatGPT Prompt Engineering for Developers
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers
📂 Google — AI for Anyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂 Microsoft — AI For Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM — AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Google — Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 DeepLearning — Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models
https://t.me/CodeProgrammer
Please more 100 👍 with our posts
📂 Elements of AI
https://elementsofai.com
📂 Learn Prompting
https://learnprompting.org
📂 Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
📂 AI for everyone
https://coursera.org/learn/ai-for-everyone
📂 500+ AI Chatbot Prompt Templates
https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller
📂 Prompt Engineering
https://youtu.be/_ZvnD73m40o
📂 ChatGPT Prompt Engineering for Developers
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers
📂 Google — AI for Anyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
📂 Microsoft — AI For Beginners
https://microsoft.github.io/AI-For-Beginners
📂 IBM — AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
📂 Google — Introduction to Generative AI
https://cloudskillsboost.google/journeys/118
📂 DeepLearning — Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models
https://t.me/CodeProgrammer
Please more 100 👍 with our posts
👍47❤8❤🔥8💯1
🖥 Get domain name information using Python
$pip install whois
https://t.me/CodeProgrammer
Please more 100 👍 with our posts
$pip install whois$pip install whois
>>> import whois
>>> domain = whois.query('google.com')
>>> print(domain.dict)
{
'expiration_date': datetime.datetime(2020, 9, 14, 0, 0),
'last_updated': datetime.datetime(2011, 7, 20, 0, 0),
'registrar': 'MARKMONITOR INC.',
'name': 'google.com',
'creation_date': datetime.datetime(1997, 9, 15, 0, 0)
}
>>> print(domain.name)
google.com
>>> print(domain.expiration_date)
2024-09-14 00:00:00
🌟 Github: https://github.com/DannyCork/python-whoishttps://t.me/CodeProgrammer
Please more 100 👍 with our posts
👍22❤11