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python imported library
seaborn
scipy
scikit-learn
panda
matplotlib
numpy
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Python libraries are collections of pre-written code and functions that extend the capabilities of the Python programming language.
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![](https://codanics.com/wp-content/uploads/2024/05/IMG_E0706.jpg)
Important Libraries of Python:
1. Pandas
2. Numpy
3. Seaborn
4. Matplotlib
5. Sklearn
6. Tensorflow
7. Keras
8. Pytorch
9. OpenCV
10. BeautifulSoup
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repetition from day 4 in start
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Thanks Sir
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Python Important libraries
(1)Pandas: Used for data manipulation and analysis.
(2)NumPy: Fundamental for data science and machine learning.
(3)Matplotlib: For plotting and graph visualization.
(4)Scikit-learn: For machine learning.
(5)BeautifulSoup: For web scraping.
(6)Keras: For deep neural networks.
(7)TensorFlow: For machine learning and deep learning.
(8)SciPy: For scientific computation.
(9)PyTorch: For deep learning.
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Data Manipulation and Analysis:NumPy
Pandas
Machine Learning:Scikit-learn
TensorFlow
PyTorch
Data Visualization:Matplotlib
Seaborn
Plotly
Web Development:Django
Flask
GUI Development:Tkinter
PyQt
Kivy
Database Access:SQLAlchemy
SQLite
Psycopg2 (for PostgreSQL)
Network Programming:Requests (for HTTP requests)
Socket (built-in)
Web Scraping:BeautifulSoup
Scrapy
Natural Language Processing (NLP):NLTK
SpaCy
Scientific Computing:SciPy
Image Processing:OpenCV
Pillow
Testing:PyTest
unittest (built-in)
Development and Debugging:pdb (built-in)
logging (built-in)
Asynchronous Programming:asyncio (built-in)
Automation and Scripting:os (built-in)
shutil (built-in)
Regular Expressions:re (built-in)
Cybersecurity:PyCryptodome
Scapy
Web Frameworks for APIs:FastAPI
Flask-RESTful
Game Development:Pygame
Deep Learning and Neural Networks:Keras (now integrated with TensorFlow)
fastai
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i have make account on onenode
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3.114 h sir
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I have downloaded conda cheat sheet but don't know where to practices
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