Linking pages
- A Neural Network in 11 lines of Python (Part 1) - i am trask https://iamtrask.github.io/2015/07/12/basic-python-network/ 320 comments
- GitHub - donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards. https://github.com/donnemartin/coding-challenges 246 comments
- Reverse Engineering with ChatGPT: An Example - data, code and conversation https://sigpwned.com/2024/02/24/reverse-engineering-with-chatgpt-an-example/ 152 comments
- Advantages of Using R Notebooks For Data Analysis Instead of Jupyter Notebooks | Max Woolf's Blog http://minimaxir.com/2017/06/r-notebooks/ 122 comments
- Modern Data Analysis: Don’t Trust Your Spreadsheet https://www.betterment.com/resources/inside-betterment/engineering/modern-data-analysis-dont-trust-your-spreadsheet/ 51 comments
- GitHub - donnemartin/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. https://github.com/donnemartin/data-science-ipython-notebooks 34 comments
- GitHub - donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards. https://github.com/donnemartin/interactive-coding-challenges 22 comments
- GitHub - donnemartin/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. https://github.com/donnemartin/data-science-notebooks 21 comments
- Microsoft Officially Launches Azure Machine Learning Platform • TechCrunch http://techcrunch.com/2015/02/18/microsoft-officially-launches-azure-machine-learning-big-data-platform/ 20 comments
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/?i=4 16 comments
- GitHub - donnemartin/interactive-coding-challenges: 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards. https://github.com/donnemartin/coding 11 comments
- Numeric matrix manipulation http://sebastianraschka.com/Articles/2014_matrix_cheatsheet.html 9 comments
- Getting Started with Python for Data Scientists — Data Community DC http://datacommunitydc.org/blog/2013/03/getting-started-with-python-for-data-scientists/ 9 comments
- GitHub - JuliaLang/IJulia.jl: Julia kernel for Jupyter https://github.com/JuliaLang/IJulia.jl 8 comments
- How to Code and Understand DeepMind's Neural Stack Machine - i am trask https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/ 3 comments
- GitHub - rasbt/python_reference: Useful functions, tutorials, and other Python-related things https://github.com/rasbt/python_reference 2 comments
- Data analysis with pandas: enjoy the awesome | Jan-Philip Gehrcke http://gehrcke.de/2013/07/data-analysis-with-pandas-enjoy-the-awesome/ 1 comment
- District Data Labs - Getting Started with Spark (in Python) https://districtdatalabs.silvrback.com/getting-started-with-spark-in-python 1 comment
- Announcing AeroPython! :: Lorena A. Barba Group http://lorenabarba.com/blog/announcing-aeropython/ 1 comment
- GitHub - datadesk/lapd-crime-classification-analysis: A Los Angeles Times analysis of serious assaults misclassified by LAPD https://github.com/datadesk/lapd-crime-classification-analysis 1 comment
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