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What are the Python libraries that are used by data scientists?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Python has several libraries that are widely used by data scientists: 1. **NumPy**: For numerical computations and handling large arrays.2. **Pandas**: For data manipulation and analysis.3. **Matplotlib**: For creating static, animated, and interactive visualizations.4. **Seaborn**: For statistical...
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Python has several libraries that are widely used by data scientists:

1. **NumPy**: For numerical computations and handling large arrays.
2. **Pandas**: For data manipulation and analysis.
3. **Matplotlib**: For creating static, animated, and interactive visualizations.
4. **Seaborn**: For statistical data visualization.
5. **Scikit-learn**: For machine learning algorithms and data preprocessing.
6. **TensorFlow/PyTorch**: For deep learning models.
7. **SciPy**: For scientific and technical computing.
8. **NLTK/Spacy**: For natural language processing.

These libraries help data scientists efficiently analyze and visualize data, build models, and make predictions.

Here is my number Call 073-1485-0321.

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My teaching experience 12 years

Python has several libraries that are widely used by data scientists: 1. **NumPy**: For numerical computations and handling large arrays.2. **Pandas**: For data manipulation and analysis.3. **Matplotlib**: For creating static, animated, and interactive visualizations.4. **Seaborn**: For statistical data...
read more
Python has several libraries that are widely used by data scientists: 1. **NumPy**: For numerical computations and handling large arrays.2. **Pandas**: For data manipulation and analysis.3. **Matplotlib**: For creating static, animated, and interactive visualizations.4. **Seaborn**: For statistical data visualization.5. **Scikit-learn**: For machine learning algorithms and data preprocessing.6. **TensorFlow/PyTorch**: For deep learning models.7. **SciPy**: For scientific and technical computing.8. **NLTK/Spacy**: For natural language processing. These libraries help data scientists efficiently analyze and visualize data, build models, and make predictions. Here is my number Call 073-1485-0321. read less
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There are many libraries used for data science 1. Matplotlib 2. Numpy 3. Pandas 4.SciPy 5.TensorFlow 6. Seaborn 7.Pytorch 8.BeautifulSoup 9.Scrapy 10 NLTK
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Computer Science Engineer with experience of teaching for 4 years

Python libraries for data science: NumPy: Numerical computations, arrays, and matrices. Pandas: Data manipulation and analysis. Matplotlib: Data visualization. Seaborn: Statistical data visualization. SciPy: Scientific computing. Scikit-learn: Machine learning. TensorFlow / PyTorch: Deep learning. Statsmodels:...
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Python libraries for data science:

  • NumPy: Numerical computations, arrays, and matrices.
  • Pandas: Data manipulation and analysis.
  • Matplotlib: Data visualization.
  • Seaborn: Statistical data visualization.
  • SciPy: Scientific computing.
  • Scikit-learn: Machine learning.
  • TensorFlow / PyTorch: Deep learning.
  • Statsmodels: Statistical modeling.
  • XGBoost / LightGBM: Boosting algorithms for machine learnin
  • NLTK / spaCy: Natural Language Processing (NLP).
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