IPython Interactive Computing and Visualization Cookbook



Recommendation numbered, Nº: 02042020p1

📘 url personal use : |🔓 1 Openaccess – 🛒 2 to buy | (Copy & paste at the browser)

-Creative Commons address: ipython-books.github.io
-Paid version address: bit.ly/341qOXp


IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high- performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. (Source: ipython-books.github.io ).


  1. A Tour of Interactive Computing with Jupyter and IPython
  2. Best Practices in Interactive Computing
  3. Mastering the Jupyter Notebook
  4. Profiling and Optimization
  5. High-Performance Computing
  6. Data Visualization
  7. Statistical Data Analysis
  8. Machine Learning
  9. Numerical Optimization
  10. Signal Processing
  11. Image and Audio Processing
  12. Deterministic Dynamical Systems
  13. Stochastic Dynamical Systems
  14. Graphs, Geometry, and Geographic Information Systems
  15. Symbolic and Numerical Mathematics


[Unofficial biography. For informational purposes only]


Cyrille Rossant

Neuroscience researcher and software engineer at IBL and UCL, PhD. (Source: cyrille.rossant.net).

Please, thank the author and Publisher

Thank you very much for this work to @cyrillerossant and @PacktPub, via @States_AI_IA #openscience #openaccess #ai #artificialintelligence #ia #thebibleai #ebook #free #neuroscience #python #dataviz #maths #gpu #opendata

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