Python list vs dictionary performance

    • [PDF File]1 An Introduction to Codes and Coding

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      1 An Introduction to Codes and Coding Chapter Summary This chapter first presents the purposes and goals of The Coding Manual for Qualitative Researchers.It then provides definitions and examples of codes and categories and their roles in qualitative data analysis.

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    • [PDF File]Introduction to Python for Econometrics, Statistics and ...

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      • Fixed some typos in the chapter on Performance and Optimization. • Added examples of joblib and IPython’s cluster to the chapter on running code in parallel. • New chapter introducing object-oriented programming as a method to provide structure and orga-nization to related code. • Added seaborn to the recommended package list, and have included it be default in the graphics chapter ...

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    • [PDF File]Data Structures and Analysis

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      4.Analyse the running time performance of these operations. Given that we all have experience with primitive data structures such as arrays (or Python lists), one might wonder why we need to study data structures at all: can’t we just do everything with arrays and pointers, already available in many languages? Indeed, it is true that any data we want to store and any operation we want to ...

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    • [PDF File]Using Bloomberg to get the Data you need

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      • You will get a list of corporate bonds issued by your company, if any. • Choose a long term bond (preferable without special features like convertibility) from the list. • Choose Description. B15 B15 Current Price B6 Shares outstanding B2 Trailing 12-month EPS 8. 9. B7 Marginal tax rate Use 36% if < 36% Use 50% if > 50% B3 Payout Ratio 10. 11. Quarterly EPS for last 5 years 12. 13. 14 ...

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    • [PDF File]Writing fast Fortran routines for Python

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      2019-10-04 · written in Python, but with the performance of compiled code. There are even now tools for converting Python code into compiled C++ libraries so that one never has to know another programming language other than Python (although these very often have a steep learning curve). For the purposes of this class, we will use a specific tool called f2py that completely automates the compilation of ...

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    • [PDF File]Python For Programmers

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      7.6 List vs. array Performance: Introducing %timeit 165 7.7 array Operators 167 7.8 NumPy Calculation Methods 169 7.9 Universal Functions 170 7.10 Indexing and Slicing 171 7.11 Views: Shallow Copies 173 7.12 Deep Copies 174 7.13 Reshaping and Transposing 175 7.14 Intro to Data Science: pandas Series and DataFrames 177 7.14.1 pandas Series 178

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    • [PDF File]Python 3 Cheat Sheet - LIMSI

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      dictionary collection integer, float, boolean, string, bytes Identifiers ☺ a toto x7 y_max BigOne ☹ 8y and for x+=3 x-=2 increment ⇔ x=x+3 decrement ⇔ x=x-2 Conversions for lists, tuples, strings, bytes… int("15") → 15 int("3f",16) → 63 can specify integer number base in 2nd parameter int(15.56) → 15 truncate decimal part float("-11.24e8") →-1124000000.0 round(15.56,1)→ 15 ...

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    • [PDF File]GPU Programming made Easy

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      Theano vs PyCUDA vs PyOpenCL vs CUDA I Theano I Mathematical expression compiler I Generates costum C and CUDA code I Uses Python code when performance is not critical I CUDA I C extension by NVIDA that allow to code and use GPU I PyCUDA (Python + CUDA) I Python interface to CUDA I Memory management of GPU objects I Compilation of code for the ...

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    • [PDF File]Lecture Notes for Data Structures and Algorithms

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      Performance analysis. The details of these three aspects will usually be rather problem dependent. The speci cation should formalize the crucial details of the problem that the algorithm is intended to solve. Sometimes that will be based on a particular representation of the associated data, and sometimes it will be presented more abstractly. Typically, it will have to specify how the inputs ...

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    • [PDF File]Dictionaries and Hash Tables - Purdue University

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      A log file is a dictionary implemented by means of an unsorted sequence We store the items of the dictionary in a sequence (based on a doubly-linked lists or a circular array), in arbitrary order Performance: insertItem takes O(1) time since we can insert the new item at the beginning or at the end of the sequence find and removeElement take O(n) time since in the worst case (the item is not ...

      python array of dictionaries

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