Suggestions for books about scientific computing using Python

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SUMMARY

The discussion centers on finding books for scientific computing using Python, specifically for users comfortable with Python but not yet experts. A recommendation includes "Computational Physics with Python," which aligns with the user's preference for Python-based examples. The user currently owns "Numerical Recipes," which is in C++, and seeks resources that provide similar content in Python to facilitate learning. The need for Python-specific materials is emphasized to enhance understanding and application of scientific computing concepts.

PREREQUISITES
  • Familiarity with Python programming (syntax, conditional statements, loops)
  • Basic understanding of scientific computing principles
  • Experience with data analysis in a scientific context
  • Willingness to explore Python libraries for scientific applications
NEXT STEPS
  • Research "Computational Physics with Python" for practical applications
  • Explore "Python for Data Analysis" by Wes McKinney for data manipulation techniques
  • Investigate "Python Scientific Computing" for comprehensive coverage of scientific libraries
  • Learn about NumPy and SciPy for numerical computations in Python
USEFUL FOR

Students in physics or related fields, educators teaching scientific computing, and anyone looking to enhance their Python skills for scientific applications.

GoldenBear
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Looking for suggestions on books (or other learning material) that will help me improve my skills using Python for scientific computing. I am comfortable with Python programming (syntax, conditional statements, loops, etc.), and use it for data analysis in my undergraduate experimental physics courses, but I am not an expert.

I own a copy of Numerical Recipes which is written using C++ (which I haven’t learned yet) and from what I understand the material is transferable to other languages, but I would prefer a book that has Python routines in it as I am comfortable with the syntax and believe seeing the material being applied using Python code would make learning the material easier. Any suggestions are greatly appreciated!
 
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