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Search results “Python timeit magic”
Learn Jupyter Notebooks (pt.2) %Timeit Magic Function
 
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In this video, I briefly describe magic functions and go into how the Timeit function works, plus some optimization tips! IPython docs on magic functions: https://ipython.org/ipython-doc/3/interactive/magics.html
Views: 7873 Mark Jay
14   Timeit Magic Function Jupyter Notebook
 
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Published on May 13 2018: In this video, we will learn about the timeit magic function in Jupyter Notebook In the previous video, we learnt about the time magic function in Jupyter Notebook Code used in the video: %%timeit x=range(10000) max(x) %timeit {1 for i in xrange(10*1000000)} Previous Video: https://youtu.be/rmaYFfXIhZU Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 417 Learn 2 Excel
Timeit Module - Intermediate Python Programming p.6
 
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Welcome to part 6 of the intermediate Python programming tutorial series. In this part, we're going to talk about the timeit module. The idea of the timeit module is to be able to test snippets of code. In our previous tutorial, we were talking about list comprehension and generators, and the difference between the two of them (speed vs memory) was explained. Using the timeit module, I will illustrate this. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 28608 sentdex
Make Jupyter/IPython Notebook even more magical with cell magic extensions!
 
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PyCon Canada 2015: https://2015.pycon.ca/en/schedule/33/ Talk Description: * My talk will start out with a brief explanation of what Jupyter is (the project formerly known as IPython Notebook) and how to launch it. * I will demo how to run a few lines of Python in Jupyter, and how to create text cells with Markdown and LaTeX. * I will then demo some of the built-in 'cell magic' extensions like running bash commands and displaying plots inline. * I will then show some additional off-the-shelf extensions like the SQL and Graphviz ones, and show how to export a notebook to web-based slides. * I will then show how one can build and use a useful new cell magic extension (an interactive HTTP client) in Python, using Jupyter's built-in web-based text editor.
Views: 28333 PyCon Canada
Episode 2: How to use Jupyter Notebook's Magic Commands?
 
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Refer this for more - http://ipython.readthedocs.io/en/stable/interactive/magics.html
Views: 723 GeekGirl64
Let's Code Python: timeit
 
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Today we'll look at the timeit module, which allows you to conveniently run performance tests on blocks of code.
Views: 1048 TigerhawkT3
[Python] Temps de calcul - Module timeit
 
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Mesurer le temps d'exécution d'une fonction.
Views: 693 Python au lycée
Быстрее, Python, ещё быстрее
 
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Измерение времени работы кода на Python с помощью модулей timeit, cProfile и line_profiler. Немного о NumPy. JIT и AOT компиляция кода на Python на примере Numba и Cython. Лекция №12 в курсе "Python" (осень 2015). Преподаватель курса: Сергей Лебедев Страница лекции на сайте CS центра: https://goo.gl/aa8aou
Волшебные команды Jupyter Notebook (Magics)
 
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В этом видео показано, как использовать волшебные команды Jupyter Notebook для работы с файлами и объектами в памяти Блокнот: http://nbviewer.jupyter.org/github/postlogist/course_opt/blob/master/jupyter_tutorial/03_magics.ipynb Плейлист: https://www.youtube.com/playlist?list=PLwCnsQacFoW4XtU9RAtjZr_jJzHD3SdE7
Views: 1653 modeling_sc
Timing python operations
 
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This video is part of the Udacity course "Machine Learning for Trading". Watch the full course at https://www.udacity.com/course/ud501
Views: 5075 Udacity
Magic Methods in Python
 
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An intro to magic methods in Python. Enjoy! Reference: http://www.rafekettler.com/magicmethods.html
13  Time Magic Function Jupyter Notebook
 
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Published on May 12 2018: In this video, we will learn about the time magic function in Jupyter Notebook In the previous video, we learnt about the Matplotlib function. Code used in the video: %time x=range(10000) %time z=range(10000000) %time {1 for i in xrange(10*1000000)} %time {1 for i in xrange(30*1000000)} Previous Video: https://youtu.be/rmaYFfXIhZU Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 131 Learn 2 Excel
17  HTML magic Function Jupyter Notebook
 
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Published on May 22 2018: In this video, we will learn to use the HTML magic function. We will import a file a .jpg file into jupyter notebook. In the previous video, we learnt how to find the filenames in a given directory. Code used in the video: Previous Video: https://youtu.be/bHmaRMO_Ei0 Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 1489 Learn 2 Excel
Analysis 6 | timeit 2
 
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continue with python timeit, and about import vs from. These videos are to help you when reading the ebook: "Problem Solving with Algorithms and Data Structures using Python" at ebook: https://goo.gl/1GJCgt images of the ebook and some code from the book are attributed to this book by the Authors Bradley N. Miller and David ranum under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC-BY-NC-SA) License link: https://goo.gl/m2m1ww
Views: 910 Gerry Jenkins
【科普教程】jupyter notebook 魔术命令 [科普教程]jupyter notebook magic command
 
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这是群友自制的 python 科普视频,演示 jupyter notebook 常用魔术命令的使用,欢迎加入我们的qq群交流讨论:150134435 有问题欢迎到我们到社区提问:http://discourse.blockhedging.com/ 侵删~ 视频来源和原始版权来自并归属原创作者,论点和本频道无关。本频道致力于视频影片的推广和传播工作, 影片相關內容分享,如有涉及任何侵權或造成當事者困擾的問題,敬請留言告知;本频道定會遵照著作權保護法相關規定馬上撤除影片,立即停止分享!謝謝^ ^Notice:I have no intention of tort; If there is any doubts of tort, please contact me and I will remove the video immediately
5. Data Science with Python - Jupyter Notebook Basics and Magic Functions
 
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Lets start programming with Jupyter notebook starting from basic syntax and covering magic numbers in this tutorial. Stay Tuned and share our channel Keep supporting and Subscribe to our channel. https://www.youtube.com/channel/UCm4gqBFhMYGGIwAkLTRnXJA?sub_confirmation=1
Views: 96 Data Warrior
15  writefile Magic Function Jupyter Notebook
 
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Published on May 15 2018: In this video, we will learn to write to a file using writefile magic function in jupyter notebook. In the previous video, we learnt about the time magic function in Jupyter Notebook Code used in the video: %%writefile C:\Data\data\test.txt Hello World!! Previous Video: https://youtu.be/W_-N33CG--A Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 262 Learn 2 Excel
11-Magic Functions | Object Oriented Programming With Python
 
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This session tells you about some of the many magical functions available in python to make your work easy.
Views: 117 CodeBox
4. NumPy Basics - IPython Notebook Tutorial
 
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NumPy tutorial using IPython Notebook development environment. We compare performance of ndarray vs python list performance and basic mathematical operations. We cover most common functions and indexing & slicing. IPython magic used is %timeit, %%timeit and %%capture. We covered the most common functions of NumPy which are: **List Creation** - np.arange() - np.array() - np.zeros() - np.random.random() - np.linspace() **Statistical analysis** - np,max() - np.min() - np.mean() - np.median() - np.std() **Reshaping** - np.reshape() - np.ravel() This is open source, Github/NBViwer: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/IPython-Tutorial/4%20-%20Numpy%20Basics.ipynb
Views: 49913 Roshan
12  Matplotlib Magic Function in Jupyter Notebook
 
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Published on May 07 2018: In this video,we will learn about the magic functions in Jupyter notebook. We will be looking at the Matplotlib function. Please find below the code i have used in the example. %matplotlib inline import matplotlib.pyplot as plt plt.plot(range(30)) In the previous video, we learnt about keyboard shortcut/shortcuts for Jupyter Notebook. Previous Video: https://youtu.be/euFmFN-_8JU Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 1194 Learn 2 Excel
3. Basic Python - IPython Notebook Tutorial
 
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This tutorial covers working with code cells and IPython magic and getting help about your objects using object? , object?? and help(object). Other IPython magic codes in this tutorial are: %quickref, %lsmagic %timeit and %%timeit. Finally, we cover In[] and Out[] lists and the underscore for accessing the last output. This is open source, Github/NBViwer: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/IPython-Tutorial/3%20-%20Basic%20Python.ipynb
Views: 10697 Roshan
16  Ls magic function jupyter notebook
 
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Published on May 20 2018: In this video, we will learn how to find the filenames in a given directory. We will use the ls function for that. It is like the dir function if you come from a windows background. In the previous video, we learnt to write to a file using writefile magic function in jupyter notebook. Code used in the video: %ls Previous Video: https://youtu.be/mCEj1s4NWwE Additional Reading material: NA SUBSCRIBE to learn more about Power BI,Power Query, Power Pivot, Excel,SQL Server and Python!! https://www.youtube.com/channel/UCYYHFZpm5GbaOmQKDNSTGLw Our Playists: SQL Playlist :https://goo.gl/PS5Ep6 DAX PlayList : https://goo.gl/S4W41D Power BI PlayList: https://goo.gl/dXxvnB Power Query Playlist: https://goo.gl/5QS7P4 Getting Started with Power BI:https://goo.gl/GHakLZ Getting Started with Python: https://goo.gl/n24P3w Data Science With Python:https://goo.gl/PeYCR5 ABOUT DAGDOO: Website: Home Page: http://www.dagdoo.org/ Power BI Tutorials: http://www.dagdoo.org/excel-learning/tutorial-power-bi-desktop/ Questions? Comments and SUGESTIONS? You will find me here: Twitter: @dagdooe Category: Science & Technology License: Standard YouTube License
Views: 256 Learn 2 Excel
Time Module in Python (Python for Beginners) | Part 30
 
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Enjoyed my video? Leave a like! GitHub Link: https://github.com/maxg203/Python-for-Beginners Personal Website: http://maxgoodridge.com
Views: 9578 Max Goodridge
Analysis 5 | Timeit 1
 
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Python, how to user the timeit module to time list and other code This is part of my video course: https://goo.gl/ghFZar Code/Slides link: https://goo.gl/ZNGPMU These videos are to help you when reading the ebook: "Problem Solving with Algorithms and Data Structures using Python" at ebook: https://goo.gl/1GJCgt images of the ebook and some code from the book are attributed to this book by the Authors Bradley N. Miller and David ranum under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC-BY-NC-SA) License link: https://goo.gl/m2m1ww
Views: 3179 Gerry Jenkins
Ben Shaw: Python is slow, make it faster with C
 
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= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = Ben Shaw: Python is slow, make it faster with C = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = @ Kiwi PyCon 2014 - Saturday, 13 Sep 2014 - Track 2 http://kiwi.pycon.org/ **Audience level** Intermediate **Description** Most people have heard that it's possible to integrate Python with C to give performance boosts to computationally heavy code, but because it seems daunting they've never given it a try. It's actually not as hard as you think. This talk covers some of the different methods of speeding up your code with C, and compares the results to those you can get from other methods, like using PyPy. **Abstract** Introduction As developers, we like to work with Python because it's forgiving, quick to develop for and allows our code to be very dynamic. Unfortunately the trade-off for this magic is lower performance than compiled languages. Python can be sped up by offloading heavy algorithms to compiled C, using specially built C modules utilising the C Python API, or by integrating existing C libraries with using the python ctypes module. It is also possible to speed up Python using alternative interpreters, like PyPy, which uses a JIT compiler. Pure Python Implementation First we will take a look at a CPU bound algorithm written purely in Python, and see how it performs. The program reads data and prints results. The time it takes to run this will be considered the worst case scenario. Pure C Implementation The same program will be re-written in C, including the input and output logic, and we will compare the time it takes to run against the Python implementation. The results of the C implementation will be considered the best case scenario. Custom Python Module with C Implementation Python provides an API, C development headers and special C types, to allow the creation of a specially built bridges between Python and C code. In this example, the algorithm will be written in C, and bridged to Python with a custom Python/C module. Input and output takes place within Python, with C only performing the computation. With this method we can achieve near best-case speeds, at the cost of some additional (and sometimes complicated) C coding. Bridging To C with ctypes Introduced in Python 2.5, ctypes allows Python to integrate with pre-built C libraries without custom C code. This approach has the advantage over the custom Python/C Module of not needing to write a lot of boilerplate and bridging code in C. As with the Py/C implementation, C is used only to execute the algorithm, and Python takes care of input and output. Again, performance is close to best-case speeds, but the work to integrate with C is much less. Alternative Python Implementations PyPy uses a JIT compiler to offer impressive performance gains. The original Python code will be run through PyPy, and although the results might not be as quite as good as using compiled C, they come close, and the effort-to-gain ratio certainly makes it attractive option. Conclusion Each performance boosting option has its pros and cons, and when it's so easy to just use PyPy and get good results, why would you still use C? We'll look at some example use cases for each of the methods presented and why you would choose one over the others. **Slides** https://speakerdeck.com/nzpug/ben-shaw-python-is-slow-make-it-faster-with-c
Decorators, timeit, and doctest
 
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Can decorators be used to test functions? How? Why would you do this? Why not?
Views: 272 harrisonishable
Python Practice:  Timer Program
 
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Python 3 practice using import time to create a timer.
Views: 11217 techbiz tutorials
Learn Jupyter Notebooks (Pt.3) Animated Plotting
 
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In this video we will do an in depth example of animated plotting in Jupyter Notebooks. Github: https://github.com/markjay4k/fourier-transform Facebook page: https://www.facebook.com/MarkJay4k/
Views: 12498 Mark Jay
markdown-magic demo
 
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https://github.com/DavidWells/markdown-magic/ ✨ Add a little magic to your markdown ✨ - Automatically keep markdown files up to date from source code or via external sources. - Transform markdown content from dynamic data sources - Render markdown with your template engine of choice.
Views: 911 David Wells
Learn Jupyter Notebooks (pt.4) Using Interactive Widgets
 
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In this video, we go through a simple example with Ipython widgets to interact with a Matplotlib plot. Github link to notebook: https://github.com/markjay4k/fourier-transform Ipython widgets docs: https://ipywidgets.readthedocs.io/en/latest/user_guide.html facebook group: https://www.facebook.com/MarkJay4k/?ref=aymt_homepage_panel
Views: 12147 Mark Jay
ssh ipython notebook magic
 
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ssh into a remote machine and start jupyter (ipython) notebook. With ssh tunneling and an iterm2 trigger, you can get it to automatically open a local browser connected to the remote notebook! 3-step instructions available here: https://duetosymmetry.com/code/ssh-ipython-notebook-magic/
Views: 756 Leo Stein
Build a Data Analysis Library from Scratch in Python (10/57): Manually Test in a Jupyter Notebook
 
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• Get the entire course contents here: https://online.dunderdata.com/courses/build-a-data-analysis-library-from-scratch-in-python • Purchase the Complete Master Data Analysis with Python Bundle - 2 Books, 1200 pages, 500 Exercises - https://online.dunderdata.com/courses/build-a-data-analysis-library-from-scratch-in-python Learn how to build a data analysis library from scratch in Python. Immerse yourself into a comprehensive project with 40 steps and 100 tests that you must pass in order to complete. We are building Pandas Cub, a library with similar functionality as the Pandas library. Visit the project home page on GitHub for a complete list of instructions • https://github.com/tdpetrou/pandas_cub In this video, we see how valuable it is to manually test out your code within the Jupyter Notebook. The autoreload magic function is introduced as a way to help quickly see how changes in your code affect its usage.
Views: 174 Dunder Data
How to get time of a Python program's execution
 
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What does Time Clock do in Python? How do you delay in Python? python get time execution python get execution time of code block python get script execution time python get execution time of a function python time execution code python get time execution date python get time execution data python get execution time of function python time execution function python get time execution error python get time execution example python get time execution group python get time execution java python get time execution javascript python get time execution json python get execution time in seconds python how to get execution time python get time execution key python get time execution limit python get time execution linux python get time execution list python get time execution line python get method execution time python get time of execution python time execution of function python time execution of script python get time of program execution python get the execution time python time execution speed python get time execution query python get time execution quote python get time execution questions python get time execution range python get time execution request python get time execution undefined python get time execution variable python get time execution value python get time execution xml python get time execution xp python get time execution youtube python get time execution year python get time execution years python get time execution zone python get time execution zip python get time execution zero write a program to get execution time for a python method python get code execution time how do i get time of a python program's execution how to get execution time in python how to get total execution time in python how to get script execution time in python How do you optimize code in Python? What is tick in Python? How do I get time of a Python program's execution How to measure the execution time of a Python script Measure Time in Python - time.time() vs time.clock() - Python Central How to measure elapsed time in python How to see the execution time of your program in PyCharm How do I get time of a Python program's execution? python measure execution time python execution time milliseconds python time code time.clock python calculating time in python timeit python python measure time elapsed python timeit function with arguments
Views: 98 T3SO Tutorials
Jupyter Notebook Tutorial - 2019
 
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In this Python tutorial we will go over how to use Jupyter Notebook in 2019. We will cover the basics like how to run your code in cells and then move on to more advanced topics like magic commands and keyboard shortcuts Topics covered in this Jupyter Notebook tutorial: 1. Installing Jupyter 2. Starting Jupyter notebook 3. Working with cells 4. Toolbar overview 5. Menu overview 6. Inline shell commands 7. Magic commands 8. Keyboard shortcuts Jupyter notebooks are an open source tool for interactive computing. It is possible to use Jupyter with many different programming languages but the language most commonly used is Python. Jupyter notebooks are commonly used for sharing results in the data science and scientific computing community. Jupyter notebooks are also very useful for beginner programmers as well because the REPL provides quick and easy feedback as well as allowing new programmers to follow along with complex programs and see what is happening at every step. Jupyter is composed of a web application and kernel for the language being used with Jupyter. The kernel what executes the code that is typed in the front end web application. This is what allows Jupyter to work with multiple different programming languages while using the same frontend.
Views: 86 Renaissance Troll
Jupyter Notebook and Python functions
 
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Full course at: http://johnfoster.pge.utexas.edu/PGE323M-ResEngineeringIII/course-mat
Learn Jupyter Notebooks (Pt. 1) Plotting
 
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In this video, I give a quick into to Jupyter Notebooks and show you how to plot and use LaTeX markdown.
Views: 28227 Mark Jay
Progress Bar in Jupyter Notebook
 
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This video explains how to create progress bars in jupyter notebook. Explore my tutorials: https://www.indianpythonista.tech/tutorials/ More awesome topics covered here: WhatsApp Bot using Twilio and Python: http://bit.ly/2JmZaNG Discovering Hidden APIs: http://bit.ly/2umeMHb RegEx in Python: http://bit.ly/2Hhtd6L Introduction to Numpy: http://bit.ly/2RZMxvO Introduction to Matplotlib: http://bit.ly/2UzwfqH Introduction to Pandas: http://bit.ly/2GkDvma Intermediate Python: http://bit.ly/2sdlEFs Functional Programming in Python: http://bit.ly/2FaEFB7 Python Package Publishing: http://bit.ly/2SCLkaj Multithreading in Python: http://bit.ly/2RzB1GD Multiprocessing in Python: http://bit.ly/2Fc9Xrp Parallel Programming in Python: http://bit.ly/2C4U81k Concurrent Programming in Python: http://bit.ly/2BYiREw Dataclasses in Python: http://bit.ly/2SDYQub Exploring YouTube Data API: http://bit.ly/2AvToSW Jupyter Notebook (Tips, Tricks and Hacks): http://bit.ly/2At7x3h Decorators in Python: http://bit.ly/2sdloX0 Inside Python: http://bit.ly/2Qr9gLG Exploring datetime: http://bit.ly/2VyGZGN Computer Vision for noobs: http://bit.ly/2RadooB Python for web: http://bit.ly/2SEZFmo Awesome Linux Terminal: http://bit.ly/2VwdTYH Tips, tricks, hacks and APIs: http://bit.ly/2Rajllx Optical Character Recognition: http://bit.ly/2LZ8IfL Facebook Messenger Bot Tutorial: http://bit.ly/2BYjON6 Facebook: https://www.facebook.com/IndianPythonista/ Github: https://www.github.com/nikhilkumarsingh/ Twitter: https://twitter.com/nikhilksingh97 #python #jupyter #tqdm
Views: 763 Indian Pythonista
Thomas Reineking  - Plumbing in Python: Pipelines for Data Science Applications
 
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PyData Berlin 2016 Bringing data science models from development to production can be a daunting task. To reduce the overhead in this process and to improve flexibility, we introduced a Python data flow library at Blue Yonder which we will present in this talk. The data flow library presented in this talk provides a thin abstraction layer between data pipeline declarations and specific execution backends. As exceptions are the rule, the library allows the user to introduce limited control flow into pipelines. At the same time, it also offers composability of pipelines, as many of our projects share similar building blocks. In this talk we will show how using this library leads to a more functional style of programming, which improved the speed of our iterations. This shift in development style, already in the early stages of model development, includes clear separation of I/O operations and data transformations as well as the separation of data flow control and actual computations. We will also look into some additional benefits of this paradigm change, namely concurrency and testability.
Views: 3694 PyData
Building Interactive Applications and Dashboards in the Jupyter Notebook
 
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Romain Menegaux (Bloomberg LP), Chakri Cherukuri (Bloomberg LP) demonstrate how to develop advanced applications and dashboards using open source projects, illustrated with examples in machine learning, finance, and neuroscience. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 48359 O'Reilly
Ipython/Jupyter notebook - Split Cell Tutorial.
 
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Demo of split cells in the ipython/jupyter notebook. Code is Currently here. https://github.com/cdknorow/notebook.git My Gitlab https://gitlab.com/u/cknorow My LiveStream https://www.livecoding.tv/simpleliqui... Just a friendly data scientist,
Views: 3857 Chris Knorowski
32 - Magic Methods
 
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The google notebook used in videos can be accessed at https://colab.research.google.com/drive/1xCCSRHf67t-yHes-x_z06lYo3AYM5oLF The python notebook can used in videos can be accessed at https://drive.google.com/file/d/1F5mQUe9cYo49EeapoPZaavv_5iWfOsXH/view?usp=sharing For a complete course on machine learning do visit https://www.udemy.com/demystifying-machine-learning/ For a limited time, it is free
3. Basic Python - IPython Notebook Tutorial - bad video
 
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This tutorial covers working with code cells and IPython magic and getting help about your objects using object? , object?? and help(object). Other IPython magic codes in this tutorial are: %quickref, %lsmagic %timeit and %%timeit. Finally, we cover In[] and Out[] lists and the underscore for accessing the last output. This is open source, Github/NBViwer: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/IPython-Tutorial/3%20-%20Basic%20Python.ipynb
Views: 18 Roshan
Using Timeit for measuring code snippets
 
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Measuring String concatenation performance using Python module Timeit. Source code: https://drive.google.com/file/d/0Bzz3FVz0lhCVWVdHMHhXRXFuUjA/view?usp=sharing
Views: 553 Py Minute
How to find the time taken for a program to execute in python
 
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This video shows the time taken for a particular to execute in python.
Views: 579 SciCo
noWorkflow - IPython Magics
 
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This video presents IPython magics that noWorkflow adds to Jupyter Notebook, in order to ease analysis and provenance collection. https://github.com/gems-uff/noworkflow

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