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 to download and setup data-science-ipython-notebooks
Open terminal and run command
git clone https://github.com/donnemartin/data-science-ipython-notebooks.git
git clone is used to create a copy or clone of data-science-ipython-notebooks repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with data-science-ipython-notebooks https://github.com/donnemartin/data-science-ipython-notebooks/archive/master.zip
Or simply clone data-science-ipython-notebooks with SSH
[email protected]:donnemartin/data-science-ipython-notebooks.git
If you have some problems with data-science-ipython-notebooks
You may open issue on data-science-ipython-notebooks support forum (system) here: https://github.com/donnemartin/data-science-ipython-notebooks/issuesSimilar to data-science-ipython-notebooks repositories
Here you may see data-science-ipython-notebooks alternatives and analogs
free-programming-books-zh_CN gold-miner 30-seconds-of-code tensorflow awesome-python system-design-primer flask thefuck httpie django requests keras ansible scikit-learn scrapy TensorFlow-Examples certbot pytorch python-patterns tornado face_recognition core pandas CNTK python-guide reddit wechat_jump_game interactive-coding-challenges compose ipython