Telegram Web
๐Ÿ˜ฒ Awesome useful Python scripts

Useful ready-made Python scripts.

1. JSON โ†”๏ธ 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)

๐Ÿ”— Scripts: https://uproger.com/udivitelnye-sczenarii-python/

https://www.tgoop.com/CodeProgrammer

Please more reaction with our posts
โค30๐Ÿ‘17๐Ÿ’ฏ2
๐Ÿ’ผ Briefcase

Briefcase is a tool for converting a Python project into a standalone native application.

โ–ช Github: https://github.com/beeware/briefcase

โ–ชTutorial: https://briefcase.readthedocs.io/en/stable/

https://www.tgoop.com/CodeProgrammer

Please more reaction with our posts
๐Ÿ‘34โค14
Python | Machine Learning | Coding | R
Photo
Please more reaction with our posts (100 ๐Ÿ‘)
โค21๐Ÿ‘3
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://www.tgoop.com/CodeProgrammer

Please more reaction with our posts
โค14๐Ÿ‘7๐Ÿ‘2
๐Ÿ‘14โค11
Python | Machine Learning | Coding | R
Photo
๐Ÿ–ฅ Free Courses and Guides That Will Teach You How to Master AI:

๐Ÿ“‚ Elements of AI
https://elementsofai.com

๐Ÿ“‚ Learn Prompting
https://learnprompting.org

๐Ÿ“‚ Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

๐Ÿ“‚ AI for everyone
https://coursera.org/learn/ai-for-everyone

๐Ÿ“‚ 500+ AI Chatbot Prompt Templates
https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller

๐Ÿ“‚ Prompt Engineering
https://youtu.be/_ZvnD73m40o

๐Ÿ“‚ ChatGPT Prompt Engineering for Developers
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers

๐Ÿ“‚ Google โ€” AI for Anyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone

๐Ÿ“‚ Microsoft โ€” AI For Beginners
https://microsoft.github.io/AI-For-Beginners

๐Ÿ“‚ IBM โ€” AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics

๐Ÿ“‚ Google โ€” Introduction to Generative AI
https://cloudskillsboost.google/journeys/118

๐Ÿ“‚ DeepLearning โ€” Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models

https://www.tgoop.com/CodeProgrammer

Please more 100 ๐Ÿ‘ with our posts
๐Ÿ‘47โค8โคโ€๐Ÿ”ฅ8๐Ÿ’ฏ1
๐Ÿ–ฅ Get domain name information using Python

$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

๐ŸŒŸ Github: https://github.com/DannyCork/python-whois

https://www.tgoop.com/CodeProgrammer

Please more 100 ๐Ÿ‘ with our posts
๐Ÿ‘22โค11
๐Ÿ”ฅ Free Certification Courses from Google to try in 2023.

1. Basics of Machine Learning
https://grow.google/intl/en_in/

2. Machine Learning Crash Course
https://coursya.com/product/machine-learning-crash-course

3. Project Execution: Running the Project
https://coursera.org/learn/project-execution-google

4. Foundations of Project Management
https://coursera.org/learn/project-management-foundations

5. Project Initiation: Starting a Successful Project
https://coursera.org/learn/project-initiation-google

6. Project Planning: Putting It All Together
https://coursera.org/learn/project-planning-google

7. Google Analytics for Power Users
https://coursya.com/product/google-analytics-certification-coursya

8. Fundamentals of digital marketing
https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB

9. Python Basics for Data Analysis
https://coursya.com/product/learn-python-basics-for-data-analysis

10. Data Science Foundations
https://grow.google/intl/en_in/

11. Advanced Google Analytics
https://coursera.org/professional-certificates/google-data-analytics

12. Google Cloud Computing Foundations:
https://cloudskillsboost.google/course_templates/153

13. Data, ML, and AI in Google Cloud
https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost

14. Agile Project Management
https://coursera.org/learn/agile-project-management

15. Google Project Management
https://coursera.org/professional-certificates/google-project-management

https://www.tgoop.com/CodeProgrammer

Please more 100 ๐Ÿ‘ with our posts
๐Ÿ‘53โค10โคโ€๐Ÿ”ฅ3๐Ÿ’ฏ2๐Ÿ‘1๐Ÿ˜ฑ1
Forwarded from Data Science Books
We have just launched a fundraising campaign for the channel to ensure continued quality service

We upload the book via Internet data, and this is expensive for us

Participate and contribute to the donation campaign until the target amount is reached

Members who will contribute to the donation campaign will receive a free subscription to the paid channel and a LinkedIn grant

Donate link:
https://boosty.to/datascienceteam/donate
๐Ÿ‘13โค3
Basic and Full-text Search with Django and Postgres

https://testdriven.io/blog/django-search/

1โƒฃ Set up basic search functionality with Q objects

2โƒฃ Add full-text search with Postgres

3โƒฃ Sort full-text search results by relevance using stemming, ranking, and weighting

https://www.tgoop.com/CodeProgrammer

Please more 100 ๐Ÿ‘ with our posts
โค9๐Ÿ‘5
๐Ÿ”ฅ Data science path without complexity (Data Science Roadmap):

๐Ÿ‘จโ€๐Ÿ’ป Programming:
Python ๐Ÿ
R ๐Ÿ“Š
Java โ˜•
SQL ๐Ÿ“‚

๐Ÿ“Š Mathematical foundations:
Statistics ๐Ÿ“ˆ
Linear algebra ๐Ÿ”ข
Differentiation and integration
Classification mathematics ๐Ÿ“

๐Ÿ“ˆ Data analysis:
Feature Engineering ๐Ÿ› ๏ธ
Data Wrangling ๐Ÿ“‘
Interpretative data analysis (EDA) ๐Ÿ”

๐Ÿค– Machine Learning:
Classification ๐Ÿท๏ธ
Regression ๐Ÿ“ˆ
Reinforcement Learning ๐ŸŽฎ
Deep Learning ๐Ÿง 
Dimensionality Reduction ๐Ÿ”
Clustering ๐Ÿงฉ

๐Ÿ•ธ๏ธ Collect data from the web:
Beautiful Soup ๐Ÿฒ
Scrapy ๐Ÿ•ท๏ธ
URLLIB ๐ŸŒ

๐Ÿ“Š Graphical visualization:
Tableau ๐Ÿงฎ
D3.js ๐ŸŒ
Scatter Plot ๐Ÿ“ˆ
Power BI ๐Ÿ“‰
ggplot2 ๐Ÿ“Š

๐Ÿš€ Get ready to explore the depths of this amazing field with these amazing, free educational resources collected in this repository:
https://github.com/Moataz-Elmesmary/Data-Science-Roadmap

https://www.tgoop.com/CodeProgrammer

Please more 100 ๐Ÿ‘ with our posts
โค32๐Ÿ‘22
2025/07/11 23:21:15
Back to Top
HTML Embed Code: