🖥 Lock Your Photos using Python

🔗 Link: https://github.com/pyca/cryptography

https://t.me/CodeProgrammer

More Likes, Share (Interact and don't be stingy) ❤️😇❤️

🤓 Awesome Face Recognition

Huge curated list of materials: face detection; recognition; identification; verification; reconstruction; tracking; super resolution and blur; generation and synthesis of faces; replacement of persons; protection against counterfeiting; search by face.

🖥 Github: https://github.com/ChanChiChoi/awesome-Face_Recognition

⭐️ https://t.me/CodeProgrammer

🇵 🇱 🇪 🇦 🇸 🇪 🇷 🇪 🇦 🇨 🇹

🖥 Web2pdf: CLI to convert Webpages to PDF

Web2pdf is a useful command line tool that allows you to convert web pages to PDF files.

It supports batch conversion, allowing you to convert multiple web pages at once.

You can customize the styling of your PDFs using CSS, including fonts and background colors.

🟡 git clone https://github.com/dvcoolarun/web2pdf.git

🖥 Github: https://github.com/dvcoolarun/web2pdf

⭐️ https://t.me/CodeProgrammer

🇵 🇱 🇪 🇦 🇸 🇪 🇷 🇪 🇦 🇨 🇹

🖥 Awesome Python Awesome: A curated list of awesome Python frameworks, libraries, software and resources.

🖥 Github: https://github.com/vinta/awesome-python

⭐️ https://t.me/CodeProgrammer ☄️

🇵 🇱 🇪 🇦 🇸 🇪 🇷 🇪 🇦 🇨 🇹

💎 Answer data science questions with AveryGPT chatbot

✅ The best free data science job chat bot

┌ 🏷 AveryGPT
└ 🌐 LINK 🌐

⚜️ https://t.me/ProgramsStore 🆔

🎁 650+ data science flashcards
🔖 Fast and enjoyable learning of data science topics

🥸 365DataScience website has created an interesting way to teach and strengthen data science concepts to help data scientists remember topics; "Using flash cards"!

🔰 These flash cards are designed in such a way that they help a lot in a strong understanding of statistics and probability, strategy and data literacy, popular data science programming languages, and reviewing key concepts for data science projects and job interviews

┌ 🏷 365 Data Science
└ 🗂️ Data Science Flashcards

⚜️ https://t.me/codeprogrammer 🆔

🙊 Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

🙄 Begin your data professional journey from the basics of statistics to building a production-grade AI application.

https://www.kdnuggets.com/collection-of-free-courses-to-learn-data-science-data-engineering-machine-learning-mlops-and-llmops

🎼 https://t.me/codeprogrammer 🆔

🖥 A little word cloud generator in Python

Creating a word cloud based on the 'cl.txt' file

Particularly useful for NLP tasks or social media analysis

from wordcloud import WordCloud

import matplotlib.pyplot as plt

# Read text from a file
with open('cl.txt', 'r', encoding='utf-8') as file:
text = file.read()

# Generate word cloud
wordcloud = WordCloud(width=800, height=400, background_color='white').generate(text)

# Display the generated word cloud using matplotlib
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()

A word cloud is a visual representation of a list of categories/tags. The more often a word occurs, the larger the size it takes on in the cloud.

pip install wordcloud

🥰 Github: https://github.com/amueller/word_cloud?ref=blog.electroica.com

🎼 https://t.me/codeprogrammer 🆔

🖥 Build a typing assistant with Mistral 7B and Ollama - Python Tutorial

Incredible - local AI chatbot based on Ollama and Mistral 7B in just a hundred lines of Python code (!)

💻 Tutorial

🖥 GitHub

🎼 https://t.me/codeprogrammer 🆔

🖥 Latexify: Generates LaTeX math description from Python functions.

Cool Python library that allows you to display functions in LaTeX format

pip install latexify

That is, you simply define the function as usual, like this:

def quadratic(a,b,c):
return (-b + math.sqrt(b**2 - 4*a*c)) / (2*a)

To output a LaTeX formula, we simply place the @latexify.function decorator above the function definition and print the function name quadratic in the Google Colab cell.
It turns out like this - and we will see the formula:

@latexify.function
def quadratic(a,b,c):
return (-b + math.sqrt(b**2 - 4*a*c)) / (2*a)

quadratic

Perfect for those who study at the intersection of IT and physics/mathematics/other disciplines;
Here in Google Colab you can test how it works

🖥 GitHub

🪄 https://t.me/codeprogrammer 🖼

☄️ 6 data science YouTube courses for beginners

⭐️ If you are looking to enter the field of data science and are going to start learning data science topics, these 6 free YouTube courses are a unique opportunity!


1️⃣ Python course with freeCodeCamp
📝 4.5 hour video that covers everything you need to become a Python programmer.

┌ 🏷 Python with freeCodeCamp
└ 🟡 LINK


2️⃣ statistics course with StatQuest
📝 One of the main and prerequisite topics for learning data science is statistics, which this learning course has made easier than ever.

┌ 🏷 Statistics with StatQuest
└ ⏺ LINK

3️⃣ Mathematics course with 3Blue1Brown
✍️ Learning linear algebra, neural networks and central limit theorem for data science.

┌ 🏷 Mathematics with 3Blue1Brown
└ 🔃 LINK


4️⃣ Data cleaning course with DataCamp
📝 Importance and techniques of how to obtain cleansed data and face the challenges of data cleansing.

┌ 🏷 Data Cleaning with DataCamp
└ 🟡 LINK


5️⃣ Machine learning course with Krish Naik
📝 6-hour video that introduces different aspects of ML, from linear regression to clustering algorithms.

┌ 🏷 Machine Learning with Krish Naik
└ 👁 LINK


6️⃣ Data visualization course with Simplilearn
📝 Getting to know how to visualize data using Matplotlib, Seaborn and Bokeh libraries.

┌ 🏷 Data Visualizations with Simplilearn
└ 🟡 LINK

🪄 https://t.me/codeprogrammer 🖼