data-science-ipython-notebooks
⭐ 29.2k stars💬 text generation🔧 Pythonintermediate📄 NOASSERTION🔄 2024-03-20
About
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⚡ Quick Start
pip install data-science-ipython-notebooks🏷️ Topics
💻 Supported Platforms
mac
📋 Technical Details
- Repository
- donnemartin/data-science-ipython-notebooks
- Language
- Python
- License
- NOASSERTION
- Stars
- 29,216
- Category
- text generation
- Difficulty
- intermediate
- Last Updated
- 2024-03-20
- Platforms
- mac
Frequently Asked Questions About data-science-ipython-notebooks
What is data-science-ipython-notebooks?
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
How do I install data-science-ipython-notebooks?
Run: pip install data-science-ipython-notebooks
What are the system requirements for data-science-ipython-notebooks?
data-science-ipython-notebooks supports mac. It is written in Python and is best suited for intermediate-level users. The repository has 29,216+ stars on GitHub and is licensed under NOASSERTION.