🖥 plutoprint - quick creation of PDF and PNG from HTML using Python
Plutoprint is a light and convenient Python library to generate high -quality PDF and images directly from HTML or XML. It is based on a powerful Plutobook Render, which makes it ideal for reports, accounts, tickets and visualizations.
Basic possibilities
Support PDF and PNG - you can create both static images and printed documents from
Simplicity of installation and use - installation via PIP Install Plutoprint; An example for the command line:
🟠 Github
#پایتون #Python
@Python4all_pro
Plutoprint is a light and convenient Python library to generate high -quality PDF and images directly from HTML or XML. It is based on a powerful Plutobook Render, which makes it ideal for reports, accounts, tickets and visualizations.
Basic possibilities
Support PDF and PNG - you can create both static images and printed documents from
Simplicity of installation and use - installation via PIP Install Plutoprint; An example for the command line:
plutoprint input.html output.pdf --size=A4
🟠 Github
#پایتون #Python
@Python4all_pro
JP Morgan's Python training
آموزش رایگان پایتون برای تحلیلگران کسبوکار و تریدرها
https://github.com/jpmorganchase/python-training
#پایتون #Python
🆔 @Python4all_pro
آموزش رایگان پایتون برای تحلیلگران کسبوکار و تریدرها
https://github.com/jpmorganchase/python-training
#پایتون #Python
🆔 @Python4all_pro
💠This tool lets you create your python GUIs like Canva, Using Drag and Drop. Outputs clean python code.
♻️ Here’s how to use it. First search for “Pyuibuilder” on google. This tool lets you visually create your python GUI and export editable Python code.
Step 2: Open the pyuibuilder editor → Select between tkinter and customtk → design your interface by dragging and dropping widgets (buttons, inputs, tables…) to the main window.
Then hit “Export Python” — and you’ll get ready-to-run code, complete with styles and logic hooks.
you can now integrate it with your existing python script and make it presentable.
❇️ Check them on Github: https://github.com/PaulleDemon/PyUIBuilder
#پایتون #Python
🆔 @Python4all_pro
♻️ Here’s how to use it. First search for “Pyuibuilder” on google. This tool lets you visually create your python GUI and export editable Python code.
Step 2: Open the pyuibuilder editor → Select between tkinter and customtk → design your interface by dragging and dropping widgets (buttons, inputs, tables…) to the main window.
Then hit “Export Python” — and you’ll get ready-to-run code, complete with styles and logic hooks.
you can now integrate it with your existing python script and make it presentable.
❇️ Check them on Github: https://github.com/PaulleDemon/PyUIBuilder
#پایتون #Python
🆔 @Python4all_pro
❤3
generate custom maps from OpenStreetMap data using Python
https://github.com/marceloprates/prettymaps
#پایتون #Python
🆔 @Python4all_pro
https://github.com/marceloprates/prettymaps
#پایتون #Python
🆔 @Python4all_pro
❤3
❤2
✅ یادگیری پایتون با چالش و تمرین
👈چالش ۱۵ روزه پایتون
https://www.interviewmaster.ai/python-party?ref=venkatanagasaikumar
👈تمرین پایتون
https://dataford.io/questions?language=python
#پایتون #Python
🆔 @Python4all_pro
👈چالش ۱۵ روزه پایتون
https://www.interviewmaster.ai/python-party?ref=venkatanagasaikumar
👈تمرین پایتون
https://dataford.io/questions?language=python
#پایتون #Python
🆔 @Python4all_pro
Interview Master
Python Summer Party - 15 Days of Python & Pandas Coding Challenges
Join Interview Master's Python Summer Party! 15 days of NumPy & Pandas coding challenges to level up your data science skills.
❤1
80_Python_use_case_based_interview_questions_with.pdf
410.4 KB
🔥 ۸۰ سوال مصاحبههای Python
با جواب و کد!
👨🏻💻 کریش نایک محقق و دانشمند داده معروف هندی، یه مجموعه عالی از ۸۰ سوال پرکاربرد در مصاحبههای Python رو همراه با جواب و کد منتشر کرده!
✅ این میتونه یه منبع فوقالعاده برای کسایی باشه که خودشون رو برای مصاحبههای برنامهنویسی و علوم داده آماده میکنن.
#پایتون #Python
🆔 @Python4all_pro
با جواب و کد!
👨🏻💻 کریش نایک محقق و دانشمند داده معروف هندی، یه مجموعه عالی از ۸۰ سوال پرکاربرد در مصاحبههای Python رو همراه با جواب و کد منتشر کرده!
✅ این میتونه یه منبع فوقالعاده برای کسایی باشه که خودشون رو برای مصاحبههای برنامهنویسی و علوم داده آماده میکنن.
#پایتون #Python
🆔 @Python4all_pro
❤4
میخواید ببینید دیتاتون چقدر کیفیت داره؟
کد زیر رو اجرا کنید (Python):
۵ دقیقه وقت بذارید، اجراش کنید نتیجه رو ببینید شاید متوجه بشید چرا مدلتون خوب نتیجه نمیده
داده کثیف = نتیجه کثیف
این قانون طلایی علم دادس
#پایتون #Python
🆔 @Python4all_pro
کد زیر رو اجرا کنید (Python):
import pandas as pd
# فایل CSV خودتون رو بخونید
df = pd.read_csv('your_data.csv')
# گزارش سریع کیفیت داده
print(f"تعداد سطرها: {len(df)}")
print(f"تعداد ستونها: {len(df.columns)}")
print(f"مقادیر خالی: {df.isnull().sum().sum()}")
print(f"سطرهای تکراری: {df.duplicated().sum()}")
# آماره سریع
print("\nخلاصه آماری:")
print(df.describe())
# مقادیر خالی به تفکیک ستون
print("\nمقادیر خالی هر ستون:")
۵ دقیقه وقت بذارید، اجراش کنید نتیجه رو ببینید شاید متوجه بشید چرا مدلتون خوب نتیجه نمیده
داده کثیف = نتیجه کثیف
این قانون طلایی علم دادس
#پایتون #Python
🆔 @Python4all_pro
❤5
آموزش پایتون برای تحلیل داده ها👇
https://youtu.be/wUSDVGivd-8?si=p7ZObcZyjmPcLx-N
یه پلی لیست خوب برای یادگیری python برای Machine Learning 👇
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgYA1UCmSUMONmDtE_5_5Mw
#پایتون #Python #علم_داده
🆔 @Python4all_pro
https://youtu.be/wUSDVGivd-8?si=p7ZObcZyjmPcLx-N
یه پلی لیست خوب برای یادگیری python برای Machine Learning 👇
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgYA1UCmSUMONmDtE_5_5Mw
#پایتون #Python #علم_داده
🆔 @Python4all_pro
YouTube
Python for Data Analytics - Full Course for Beginners
📁 FREE Course Files & Project 👉 https://lukeb.co/python_repo
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/python
My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse
📌💬 See pinned comment for troubleshooting…
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/python
My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse
📌💬 See pinned comment for troubleshooting…
❤2
👉Build an AI Coding Agent with Python And Gemini
✅ چه راهی بهتر برای درک یک ابزار قدرتمند مانند Claude Code از ساخت نسخه شخصی خود از آن؟
✅ در این آموزش شما ایجنت هوش مصنوعی خود را می سازید
✅ با استفاده از Python و Gemini بصورت عملی و پروژه محور نحوه عملکرد ابزارهای AI و برنامه نویسی کاربردی را می آموزید.
https://www.freecodecamp.org/news/build-an-ai-coding-agent-with-python-and-gemini/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
✅ چه راهی بهتر برای درک یک ابزار قدرتمند مانند Claude Code از ساخت نسخه شخصی خود از آن؟
✅ در این آموزش شما ایجنت هوش مصنوعی خود را می سازید
✅ با استفاده از Python و Gemini بصورت عملی و پروژه محور نحوه عملکرد ابزارهای AI و برنامه نویسی کاربردی را می آموزید.
https://www.freecodecamp.org/news/build-an-ai-coding-agent-with-python-and-gemini/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
❤2
Top 10 Python Libraries for Generative AI You Need to Master in 2025
1. LangChain
The backbone of intelligent LLM apps.
Build agents that:
✅ Reason
✅ Use tools
✅ Remember conversations
✅ Access APIs
If you're building anything with GPTs, LangChain is your starting point.
https://www.langchain.com/
2. LangGraph
LangChain + DAGs = LangGraph.
It powers:
- Multi-agent workflows
- Conditional logic
- Real-time state management
If you're serious about production AI agents, this is a must.
https://www.langgraph.dev/
3. Docling
Document intelligence built on LangChain.
Parse, summarize, and extract structured data from:
- PDFs
- Contracts
- Reports
Perfect for legal, finance, and enterprise GenAI.
https://docling-project.github.io/docling/
4. OpenAI Python SDK
Your direct line to:
- GPT-4o
- DALL·E
- Whisper
- Embeddings
One SDK, endless capabilities.
https://platform.openai.com/
5. Markitdown (by Microsoft)
Python tool for converting files and office documents to Markdown:
PDF
PowerPoint
Word
Excel
Images (EXIF metadata and OCR)
Audio (EXIF metadata and speech transcription)
HTML
https://github.com/microsoft/markitdown
6. Streamlit
Build beautiful, shareable GenAI dashboards in minutes.
- Upload a doc
- Ask questions
- View plots & summaries
No frontend experience needed.
https://streamlit.io/
7. FastAPI
Serve your models with blazing speed.
Used for:
- GenAI microservices
- LLM backends
- Agent APIs
It's the modern web standard for ML apps.
https://fastapi.tiangolo.com/
8. Faiss
FAISS = Fast Approximate Nearest Neighbor Search.
Turn embeddings into…
- Semantic search
- RAG systems
- Instant retrieval
Facebook built it. Everyone uses it.
https://github.com/facebookresearch/faiss
9. SentenceTransformers
Generate embeddings for:
- Sentences
- Paragraphs
- Documents
Critical for:
✅ Clustering
✅ Similarity search
✅ Retrieval
https://www.sbert.net/
10. MLflow
Track experiments. Compare models. Deploy GenAI apps.
You’ll thank yourself later when you need to explain why one prompt worked better than another.
https://mlflow.org/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
1. LangChain
The backbone of intelligent LLM apps.
Build agents that:
✅ Reason
✅ Use tools
✅ Remember conversations
✅ Access APIs
If you're building anything with GPTs, LangChain is your starting point.
https://www.langchain.com/
2. LangGraph
LangChain + DAGs = LangGraph.
It powers:
- Multi-agent workflows
- Conditional logic
- Real-time state management
If you're serious about production AI agents, this is a must.
https://www.langgraph.dev/
3. Docling
Document intelligence built on LangChain.
Parse, summarize, and extract structured data from:
- PDFs
- Contracts
- Reports
Perfect for legal, finance, and enterprise GenAI.
https://docling-project.github.io/docling/
4. OpenAI Python SDK
Your direct line to:
- GPT-4o
- DALL·E
- Whisper
- Embeddings
One SDK, endless capabilities.
https://platform.openai.com/
5. Markitdown (by Microsoft)
Python tool for converting files and office documents to Markdown:
PowerPoint
Word
Excel
Images (EXIF metadata and OCR)
Audio (EXIF metadata and speech transcription)
HTML
https://github.com/microsoft/markitdown
6. Streamlit
Build beautiful, shareable GenAI dashboards in minutes.
- Upload a doc
- Ask questions
- View plots & summaries
No frontend experience needed.
https://streamlit.io/
7. FastAPI
Serve your models with blazing speed.
Used for:
- GenAI microservices
- LLM backends
- Agent APIs
It's the modern web standard for ML apps.
https://fastapi.tiangolo.com/
8. Faiss
FAISS = Fast Approximate Nearest Neighbor Search.
Turn embeddings into…
- Semantic search
- RAG systems
- Instant retrieval
Facebook built it. Everyone uses it.
https://github.com/facebookresearch/faiss
9. SentenceTransformers
Generate embeddings for:
- Sentences
- Paragraphs
- Documents
Critical for:
✅ Clustering
✅ Similarity search
✅ Retrieval
https://www.sbert.net/
10. MLflow
Track experiments. Compare models. Deploy GenAI apps.
You’ll thank yourself later when you need to explain why one prompt worked better than another.
https://mlflow.org/
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
Langchain
LangChain’s suite of products supports developers along each step of their development journey.
👆👆👆Top 10 Python Libraries for Generative AI You Need to Master in 2025
(The tools behind document agents, intelligent assistants, and next-gen interfaces.)
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro
(The tools behind document agents, intelligent assistants, and next-gen interfaces.)
#پایتون #Python #هوش_مصنوعی
🆔 @Python4all_pro