Python Timeit Alternative

timeit repeats the function 1,000,000 times by default which is an alternative implementation of Python which uses a JIT compiler to increase performance. Traditionally, types have been handled by the Python interpreter in a flexible but implicit way. Without the need of running a separate compilation step, Numba can be simply applied by adding decorators to the Python function. Python's time module has a handy function called sleep(). An alternative way is to # DataFrame with 500000 rows >>> % timeit np. Profiling - Python Language Pedia. If you care about the accuracy of rounding, use decimal type. I tested the two alternatives given here for speed, since @zenpoy was concerned about performance. As it turns out, there are plenty of ways to do that in Python. Where the timeit. 1,安装Anaconda,安装Anaconda时创建的默认Python环境,环境名称是root,对应的Python版本是3. 0, IPython stopped supporting compatibility with Python versions lower than 3. So any ideas on how to enhance it. There are lots of ways to get Python 3. NumPy Solution Using NumPy, we can speed this code up significantly by using slicing and vectorized (automatic looping) calculations that replace the explicit loops in the Python-only solution. Syntax for evoking them is different than a global function – for example:class Time(): def print_time(self):. If the job requires more than a few lines of python codes, then typing commands can be overwhelming. If the body of your loop is simple, the interpreter overhead of the for loop itself can be a substantial amount of the overhead. How to use Python timeit and cProfile 299 and nums = 6 >>> import timeit >>> timeit ssh strace SublimeText tar tcpdump tune2fs update-alternatives utf8 vi vim. The magic command %timeit is great to measure code execution times in an interactive way. Some key features are described here. How to Make Python Faster Without Trying That Much. 6 introduced the str. timeit allows this as well, but does not have the automatic scaling of the number of iterations and the normalising of the result that %timeit has. timeit repeats the function 1,000,000 times by default which is an alternative implementation of Python which uses a JIT compiler to increase performance. Pickle is very general, especially if you use variants like cloudpickle. Install the VS Code Python extension. "+" in Python is symmetric: A + B and B + A should always yield the same result. Also, it might be interesting to use the libcloud. Enumerate() method adds a counter to an iterable and returns it in a form of enumerate object. Recent versions of Python allow you to specify explicit type hints that can be used by different tools to help you develop your code more efficiently. $ %timeit 2**100 10000000 loops, best of 3: 45. An alternative way is to # DataFrame with 500000 rows >>> % timeit np. In Python, it’s alright to access or manipulate a class member directly. The one useful to readers of this article is "%timeit". My timeit tests on my Windows 10 (64-bit) didn’t show that great a speed benefit, but there is a definite improvement. Why you might ask? - Because it is SLOW! - How slow you might ask? - Very slow!. This enumerate. Performance – the timeit module. However, I want to get the result of %timeit in order to plot the results. Posted on December 21, 2017 Categories python Tags discord. python documentation: %%timeit and %timeit in IPython. Essentially, as the name implies, it pauses your Python program. All you need to focus on is. At its simplest level, the timeit module can run a single command, in this case a list comprehension converting the string hello world to upper case and output the execution time:. Here’s my test:. lprof $ kernprof -l -v integrate_main. 2 for me (neither being noticeably slower or faster than the other just eyeballing the timeit results). If the job requires more than a few lines of python codes, then typing commands can be overwhelming. In this case, writing all python commands in a python script and running this script to get the result is the way to go. In this post, we will walk through various techniques that can be used to identify the performance bottlenecks in your python codebase and optimize them. Enumerate() method adds a counter to an iterable and returns it in a form of enumerate object. Now available for Python 3! Buy the. py Python will run your script but then stays in the inter… https://t. The code. I just tried to convert my project from PyYAML to ruamel. Here’s my test:. Since Python 2. The Range function The built-in range function in Python is very useful to generate sequences of numbers in the form of a list. png Timeit The timeit module times execution of bits of code Uses time. py is the one I find myself using all of the time -- seems to provide an innocuous way for programmers' typical. I've never used it, so I can't make any empirical observations about cffi (unlike Cython, which I've used -- it's awesome). Python best practices. All the examples use demical types, except for the original value, which is automatically casted as a float. python documentation: timeit() function. Python lambdas are little, anonymous functions, subject to a more restrictive but more concise syntax than regular Python functions. Numba gives you the power to speed up your applications with high performance functions written directly in Python. Pickle is very general, especially if you use variants like cloudpickle. In the card game SET!, players are shown an array of 12 (or more) symbol cards and try to identify a so-called 3-card set among these cards as quickly as possible. Both pure Python and C extension method shows similar performance at around 0. Python for Data Analytics. They are defined within the class definitions to make their relationship explicit. Any doubt yet in What’s new in Python 3. Profiling - Python Language Pedia. time on everything else. There is a useful option for running a test coverage analysis: nosetests –with-coverage. Navigation. Usually it has bins, where every bin has a minimum and maximum value. You can use it to run Python computer programs, test snippets of Python code, navigate your computer file directories, and perform system tasks like creating, moving, and deleting files and directories. Python is an extremely readable and versatile programming language. We will be using an in-built python library timeit. In this tutorial, you’ll learn about:. He's been using Python to solve business problems for over 10 years. Optimizing code ¶ Donald Knuth and use %timeit to try out different alternatives on your data. Even if it is a change in one line. 826 usec per loop Invocations of PyArg_ParseTupleAndKeywords() in non. To measure the execution time of the first statement, use the timeit() method. It has lexers for basically every language imaginable, and an enormous number of styles. 8, unless otherwise noted. How do I round to 2 decimals? In python, you have floats and decimals that can be rounded. Syntax for evoking them is different than a global function – for example:class Time(): def print_time(self):. While Python 2. According to python. In more “plain” English, it is a standard on how to store DataFrames/tables in memory, independent of the programming language. The compiled numerical algorithms in Python can then approach the speeds of C or FORTRAN. repeat("a", 100. Where the timeit. For numerical computations the book Python scripting for computational science recommends avoiding explicit loops and use vectorized NumPy expressions instead. split(b':', maxsplit=1)" 1000000 loops, best of 3: 0. 3, module timeit. Write Python code that calls back and forth from and to C or C++ code natively at any point Easily tune readable Python code into plain C performance by adding static type declarations Use combined source code level debugging to find bugs in your Python, Cython and C code. Only if you are using older versions of Python (before 2. July 08, 2019. Not only is the package well designed, it is also already in use by many of the projects I use via Sphinx. Alternatives like json satisfy 5, but not 1-4. An alternative that produced reST would be taken in a heartbeat. Python is continually becoming more powerful by a rapidly growing number of specialized modules. % timeit g (arr, arr) 100 loops, best of 3:. His other titles with Packt include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming Second Edition, Python for Secret Agents, and Python for Secret Agents II. Python’s simple, easy-to-learn syntax can mislead Python developers – especially those who are newer to the language – into missing some of its subtleties and underestimating the power of the diverse Python language. About Cython. It makes writing C extensions for Python as easy as Python itself. Concurrency is a big topic. In this part, we're going to talk about the timeit module. split(b':', maxsplit=1)" 1000000 loops, best of 3: 0. Using numba, I added just a single line to the original python code, and was able to attain speeds competetive with a highly-optimized (and significantly less "pythonic") cython implementation. Not only is the package well designed, it is also already in use by many of the projects I use via Sphinx. Some key features are described here. Part 1 in this blog post provides a brief technical introduction to the SHAP and LIME Python libraries, followed by code and output to highlight a few pros and cons of each. As described in the main documentation, Numba translates Python functions to optimized machine code at runtime. External psutil library: this alternative has the same problems as the above alternatives, with the additional disadvantage that it is extremely slow. It reduces the. It evaluated 3 such loops. format vs % by Drew Engelson — 30 Aug 2013 Python 2. This way, you can just emulate them to behave like protected (with _) or private (with __). If you care about the accuracy of rounding, use decimal type. Python: -m Is for Main D av iD BEa z lEy A s Python programmers know, Python doesn’t really have a notion of a main() function like compiled languages such as C or Java. In a typical case, the lowest value gives a lower bound for how fast your machine can run the given code snippet; higher values in the result vector are typically not caused by variability in Python’s speed, but by other processes interfering with your. Even if it is a change in one line. It has lexers for basically every language imaginable, and an enormous number of styles. The blog post Numba: High-Performance Python with CUDA Acceleration is a great resource to get you started. zlib Compressed zip archives require zlib for decompression. This sort of speedup is not typical for real code, but this exercise certainly illustrates the power of Cython when the alternative is many low-level operations in Python. 6 using function specialization with guards. Quantitative Economics with Python; we note that there is an alternative way of calling the methods described above. Python lambdas are little, anonymous functions, subject to a more restrictive but more concise syntax than regular Python functions. Our Approach and Alternatives. Part 2 will explore these libraries in more detail by applying them to a variety of Python models. The interactive Python pane is the primary way that you interact with Python. Something that may help a less convoluted way to generate the grid of cells manually when using a programming language that has many built in functions and methods to do the heavy lifting for you. I tested the two alternatives given here for speed, since @zenpoy was concerned about performance.   For those who may not know, NumPy and SciPy and probably the two most popular numerical and scientific modules available for Python and are both very powerful and fast. I can write a function to find LCM (lowest common multiple) of an array of integers, but I thought it must have been implemented in numpy or scipy and was expecting something like numpy. Also, to fairly compare older Python versions to Python 2. However, it does not satisfy requirements 1, 3, 4, or 5. As result I wrote a small @timeit decorator that allows you to measure the execution times of dedicated methods (module-level methods or class methods) by just adding the @timeit decorator in in front of the method call. x LTS release and refer to its documentation (LTS is the long term support release). A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. 3 including all versions of Python 2. Documentation in Python is simple, via docstrings. Watch Now This tutorial has a related video course created by the Real Python team. First, to make VS Code Python friendly, install the Python extension from the marketplace. The timings were done using the timeit module of python; this module is used for timing small snippets of python code. Also, it is likely that you make mistakes. Cython is a superset of the Python programming language, designed to give C-like performance with code which is mostly written in Python. I would like any ideas or suggestions on how to enhance the code for rolling hash algorithm and make if faster. timeit('list(itertools. She currently works at a Zurich based Big Data startup, where she has honed her Python skills for building data analysis and data management solutions. Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables Python Data Types Python Numbers Python Casting Python Strings Python Booleans Python Operators Python Lists Python Tuples Python Sets Python Dictionaries Python IfElse Python While Loops Python For Loops Python Functions Python Lambda Python Arrays. In a typical case, the lowest value gives a lower bound for how fast your machine can run the given code snippet; higher values in the result vector are typically not caused by variability in Python’s speed, but by other processes interfering with your. For those of you who are new to timeit, here is a simple command line to get you started:. But what exactly is Pythonic code, and how should you remember the major pain points/avoid obvious (bad. Sometimes even good programmers at their first tries of Python use less than optimal solutions and language constructs. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. A free online tool to decompile Python bytecode back into equivalent Python source code. Alternative way of accessing the last item in the tuple z The performance difference can be partially measured using the timeit library which allows you to time your Python code. 6 introduced the str. At this point, you have multiple options:. However, the trade-off is that pure Python programs can be orders of magnitude slower than programs in compiled languages such as C/C++ or Forran. python 中timeit在命令行中使用和在模块中使用的区别 [问题点数:40分,结帖人VonSdite]. IPython, probably the oldest of these, offers some very deep features but omits some superficial ones, while bpython and DreamPie are newer and do an excellent job on some of what IPython omits. Which is better and for what situations? The following uses each method and has the same outcome, so what is the difference? #!/usr/bin/p. Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. path (Python 2+) Check if a file exists using the Path object (Python 3. It is that time of year and we are excited to start the official Python Developers Survey for 2019! In 2018, the Python Software Foundation together with JetBrains conducted an official Python Developers Survey for the second time. Why you might ask? - Because it is SLOW! - How slow you might ask? - Very slow!. timeit(stmt, setup, timer, number) accepts four arguments:. 2 for me (neither being noticeably slower or faster than the other just eyeballing the timeit results). Traditionally, types have been handled by the Python interpreter in a flexible but implicit way. loadtxt() function (unless you have a lot of spare time…). RIP Tutorial. Python best practices. Also refer this article on Python Modules vs Packages. Not only are. The FAT Python project is made of multiple parts: The fatoptimizer project is the static optimizer for Python 3. I get different results to the OP:. In this post, we will walk through various techniques that can be used to identify the performance bottlenecks in your python codebase and optimize them. 3 -- I love many of the others (the performance improvement in particular), but timeit. 6 tutorial because now there is a long list of Improved modules. Docs will be written at https:. The timings were done using the timeit module of python; this module is used for timing small snippets of python code. lprof $ kernprof -l -v integrate_main. the traditional lex/yacc approach, or the use of regular expressions. To do otherwise would be more surprising than any of the surprises above. And, usually, the use of protected or privates is scarce in Python. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Create your free Platform account to download our ready-to-use ActivePython or customize Python with any packages you require. I think I have little idea why its like this (python passes lists by reference). There are two reasons why you might want to use another Python shell, for example: While working with the Python prompt, you like auto-completion of variable names, filenames and commands. At its simplest level, the timeit module can run a single command, in this case a list comprehension converting the string hello world to upper case and output the execution time:. The term for this action is a function call or function invocation. 7, please use the IPython 5. A recent alternative to statically compiling Cython code, is to use a dynamic jit-compiler, Numba. A lot of times when dealing with iterators, we also get a need to keep a count of iterations.   For those who may not know, NumPy and SciPy and probably the two most popular numerical and scientific modules available for Python and are both very powerful and fast. Timeit in Python with Examples This article will introduce you to a method of measuring the execution time of your python code snippets. Recent versions of Python allow you to specify explicit type hints that can be used by different tools to help you develop your code more efficiently. x LTS release and refer to its documentation (LTS is the long term support release). 3 The timeit module provides a simple interface for determining the execution time of small bits of Python code. Steven is currently a technomad who lives in various places on the East Coast of. { "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Run each cell in the jupyter notebook with shift-enter or. The pyparsing module is an alternative approach to creating and executing simple grammars, vs. A powerful multiline alternative to Python’s builtin timeit module. A method is a function associated with a particular class. The result is the execution time in seconds. It makes writing C extensions for Python as easy as Python itself. Numba gives you the power to speed up your applications with high performance functions written directly in Python. A lot of times when dealing with iterators, we also get a need to keep a count of iterations. In more “plain” English, it is a standard on how to store DataFrames/tables in memory, independent of the programming language. Python Forums on Bytes. Python and other languages like Java, C#, and even C++ have had lambda functions added to their syntax, whereas languages like LISP or the ML family of languages, Haskell, OCaml, and F#, use lambdas as a core concept. Python best practices. The Range function The built-in range function in Python is very useful to generate sequences of numbers in the form of a list. 30, Jun 16 2011. png Timeit The timeit module times execution of bits of code Uses time. When attempting to improve the performance of a Python script, first and foremost you should be able to find the bottleneck of your script and note that no optimization can compensate for a poor choice in data structures or a flaw in your algorithm design. There is a useful option for running a test coverage analysis: nosetests –with-coverage. JSON or JavaScript Object Notation is now one of the most popular formats of transmitting data objects, almost if not entirely replacing XML, because of its "very" human-readable, standard text format using the key-value pair structure. jinja2 is the only choice for templating in my eyes. py Python will run your script but then stays in the inter… https://t. Documentation in Python is simple, via docstrings. The python standard library contains the module multiprocessing. From compiled code to Python¶ There are 2 main reasons why interpreted Python code is slower than code in a compiled lanauge such as C (or other compiled langauge): Python executes byte code in a virtual machine (minor effect) while C compiles down to machine instructions specific for the processor. While Python 2. Crab A Python Framework for Building Recommendation Engines PythonBrasil 2011, São Paulo, SPMarcel Caraciolo Ricardo Caspirro Bruno Melo @marcelcaraciolo @ricardocaspirro @brunomelo 2. py is the one I find myself using all of the time -- seems to provide an innocuous way for programmers' typical. This sort of speedup is not typical for real code, but this exercise certainly illustrates the power of Cython when the alternative is many low-level operations in Python. Every once in a while I walk into a scenario where Python's approach just works better than a switch/case. Python is an incredible programming language that you can use to perform data science tasks with a minimum of effort. Pythom time method time() returns the time as a floating point number expressed in seconds since the epoch, in UTC. Some of the features described here may not be available in earlier versions of Python. clock on Windows and time. It reduces the. 1,安装Anaconda,安装Anaconda时创建的默认Python环境,环境名称是root,对应的Python版本是3. py, python, python-3. Watch Now This tutorial has a related video course created by the Real Python team. In this article we will show you, How to use Count function to perform counting in Python Programming with example. The blog post Numba: High-Performance Python with CUDA Acceleration is a great resource to get you started. There aren’t any licensing issues and you can see the source code of every function called. Two files are used: One for the global settings that applies to all projects. This way, you can just emulate them to behave like protected (with _) or private (with __). Install the VS Code Python extension. delayed() for automatically creating computation graphs from functions. Also refer to the Numba tutorial for CUDA on the ContinuumIO github repository and the Numba posts on Anaconda’s blog. Alternatives to switch statement from other languages; ArcPy; Arrays; Asyncio Module. The idea of the timeit module is to be able to test snippets of code. Python comes with a module called timeit. According to python. timeit — Measure execution time of small code snippets¶. A powerful multi-line in-code alternative to timeit. I would appreciate the assist. Two files are used: One for the global settings that applies to all projects. Python Tutorial: map, filter, and reduce. The purpose of this function is to calculate the mode of given continuous numeric or nominal data. If you don't use comprehensions in your daily coding very often, the first thing you should do is search through some existing code and find some for loops. Karolina Alexiou Karolina Alexiou is a software developer, passionate about building systems, learning new technologies, Python and DevOps. While Python 2. Watch Now This tutorial has a related video course created by the Real Python team. Here’s my test:. This article will introduce you to a method of measuring the execution time of your python code snippets. DiskCache: Disk Backed Cache¶. for timeit tests due to it’s these alternative interpreters/compilers for python should be considered. storage abstraction that works with alternative to S3 too (e. I would like any ideas or suggestions on how to enhance the code for rolling hash algorithm and make if faster. This sort of speedup is not typical for real code, but this exercise certainly illustrates the power of Cython when the alternative is many low-level operations in Python. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space. It has several advantages and distinct features: Speed: thanks to its Just-in-Time compiler, Python programs often run faster on PyPy. It is implemented as an AST optimizer. Some are similar to capabilities in other programming languages, but many are unique to Python. PYTHON FOR HPC: BEST PRACTICES § It also makes it easier to write alternative interpreters that can be faster than CPython. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space. We will be using an in-built python library timeit. When optimizing Python programs, it helps to be able to measure the performance. The timeit module uses platform-specific time functions so that you will get the most accurate timings possible. This article will take you through the key differences to consider when choosing on whether to work in Python 2 or Python 3 for your development projects. Pygments is without contenders. Python best practices. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Almost all programming languages have this feature, and is used in many use-cases. The statement will by default be executed within timeit’s namespace; this behavior can be controlled by passing a namespace to globals. py # load the output with $ python -m line_profiler integrate_main. Not only are. At its simplest level, the timeit module can run a single command, in this case a list comprehension converting the string hello world to upper case and output the execution time:. The go-to serialization approach in Python is the pickle module. generator expressions: performance anomaly?. How to use Python timeit and cProfile 299 and nums = 6 >>> import timeit >>> timeit ssh strace SublimeText tar tcpdump tune2fs update-alternatives utf8 vi vim. Welcome to part 6 of the intermediate Python programming tutorial series. Let's move on. Python Interface¶ The module defines three convenience functions and a public class: timeit. We'll focus on the timeit() function in this module. Available In: 2. Since Activity Tracking is done at every model, in every simulation step, performance of this call is critical. Posted on January 8, 2018 Author aratik711 Categories python Tags pandas, python, time-series Post navigation Previous Previous post: How do you generalise the creation of a list with many variables and conditions of `if`?. Python shells¶ IDLE¶ IDLE comes with every Python distribution and is a useful tool for everyday programming. The statement will by default be executed within timeit’s namespace; this behavior can be controlled by passing a namespace to globals. Watch it together with the written tutorial to deepen your understanding: Python 3's f-Strings: An Improved String Formatting Syntax As of Python 3. Without the need of running a separate compilation step, Numba can be simply applied by adding decorators to the Python function. timeit — Measure execution time of small code snippets¶. In a typical case, the lowest value gives a lower bound for how fast your machine can run the given code snippet; higher values in the result vector are typically not caused by variability in Python’s speed, but by other processes interfering with your. py seems to run just fine with 2. In the years Python has accumulated few redundancies and few warts (and some of them will be removed with Python 3. The Cython code ran about 10 million times faster than the original Python code. Docs will be written at https:. For those of you who are new to timeit, here is a simple command line to get you started:. 3, you may want to use Python’s -O option (see Optimizations) for the older versions to avoid timing SET_LINENO instructions. Python List Comprehension Tutorial When doing data science, you might find yourself wanting to read lists of lists, filtering column names, removing vowels from a list or flattening a matrix. Every once in a while I walk into a scenario where Python's approach just works better than a switch/case. 3, module timeit. The module function timeit. a container of modules). list and tuple cannot be added with this operator because in a mixed-type situation, the return type would change based on ordering. Navigation. In more “plain” English, it is a standard on how to store DataFrames/tables in memory, independent of the programming language. When typing a one-line command, place "%timeit" before the command and separated with a space. Also, it might be interesting to use the libcloud. Pyrobuf is an alternative to Google’s Python Protobuf library that is written in Cython and that offers better performance (roughly 1. I just tried to convert my project from PyYAML to ruamel. Personally, I nominate timeit. Python has an active development community. If the job requires more than a few lines of python codes, then typing commands can be overwhelming. Python supports a couple of looping constructs. The “slow” Python program will finish running five days earlier than the “fast” C program! If you already know Python and don’t know any C, then the time difference will be even greater. It loops over the elements of a sequence, assigning each to the loop variable. storage abstraction that works with alternative to S3 too (e. A recent alternative to statically compiling cython code, is to use a dynamic jit-compiler, numba. 0659 usec per loop As soon as I build a function around it, the cost goes up substantially. But there is a convention of using this: import sys and using the argv by sys. Quantitative Economics with Python; we note that there is an alternative way of calling the methods described above. The SysAdmin's Guide to Python. Without the need of running a separate compilation step, Numba can be simply applied by adding decorators to the Python function. python json deep copy: An alternative solution to deep copy The other day, I ran into a bug that involved modifying and returning a dictionary to meet certain requirements without knowing that it was being updated and saved into the database later on. If the body of your loop is simple, the interpreter overhead of the for loop itself can be a substantial amount of the overhead. This article will take you through the key differences to consider when choosing on whether to work in Python 2 or Python 3 for your development projects. A free online tool to decompile Python bytecode back into equivalent Python source code. Also, it is likely that you make mistakes. Call timeit, repeat, multiple statements and methods. A histogram shows the frequency on the vertical axis and the horizontal axis is another dimension. Use Numba to work with Apache Arrow in pure Python · 03 Aug 2018 Apache Arrow is an in-memory memory format for columnar data. 3, you may want to use Python’s -O option (see Optimizations) for the older versions to avoid timing SET_LINENO instructions. 2 for me (neither being noticeably slower or faster than the other just eyeballing the timeit results). External psutil library: this alternative has the same problems as the above alternatives, with the additional disadvantage that it is extremely slow. But IPython can do much more than the standard prompt. Python is a very attractive alternative of MATLAB: Python is not only free of costs, but its code is open source. py # load the output with $ python -m line_profiler integrate_main. With that in mind, this article presents a “top 10” list of somewhat. Python Timeit, Repeat Examples Use the timeit module to benchmark code. I am trying to create a game in wich there are 2 threads running constantly, one for the car controls and another one for determining the speed. If you are looking for examples that work under Python 3, please refer to the PyMOTW-3 section of the site. % timeit g (arr, arr) 100 loops, best of 3:. Proposed patch adds alternative API that caches keyword names as Python strings in special object. Our Approach and Alternatives. Using numba, I added just a single line to the original python code, and was able to attain speeds competetive with a highly-optimized (and significantly less "pythonic") cython implementation. Python is an object-oriented programming language. list and tuple cannot be added with this operator because in a mixed-type situation, the return type would change based on ordering.