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Discovering awesomeness of python
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Understanding python decorators - PyJournal
http://pyjournal.info/understanding-python-decorators
Discovering awesomeness of python. Python decorators, as the name suggests, are decorators for python entities. In simpler terms, it is a wrapper on an existing functionality without modifying that functionality. Now question may arise, why do we need decorator? A worth mentioning information about decorators is that they are callable that take callable as an argument and return a callable. A callable in python is anything that can be called. For example, a class, a method, etc. are callable. Def my deco...
Exception handling in Python using try, except and finally - PyJournal
http://pyjournal.info/exception-handling-in-python-using-try-except-and-finally
Discovering awesomeness of python. Exception handling in Python using try, except and finally. Like other popular languages such as Java, C#, etc, Python also offers a clean exception handling mechanism. Exception handling is pretty useful to ensure graceful running of system and make end user aware of any error in an elegant way. What will happen if there is no exception handling in place? Let us understand it with an example. Def divide numbers(num1, num2): return float(num1)/num2 divide numbers(10, 0).
Collections Archives - PyJournal
http://pyjournal.info/category/collections
Discovering awesomeness of python. Python collections – Part 1 – Defaultdict. August 20, 2016. Defaultdict is available as part of collections module in Python that overcome some drawbacks of using native dict. Let us see why and when to use [.]. Python collections – Part 1 – Defaultdict. Exception handling in Python using try, except and finally. Getting started with Github – A beginner’s guide. Creating a linked list – Python implementation. On Understanding python decorators.
Data structure Archives - PyJournal
http://pyjournal.info/category/data-structure
Discovering awesomeness of python. Creating a linked list – Python implementation. May 17, 2016. Linked list is one of the famous data structure that people come across. It is a linear data structure that is stored in memory in non-contagious fashion. One [.]. Python collections – Part 1 – Defaultdict. Exception handling in Python using try, except and finally. Getting started with Github – A beginner’s guide. Creating a linked list – Python implementation. On Understanding python decorators.
Uncategorized Archives - PyJournal
http://pyjournal.info/category/uncategorized
Discovering awesomeness of python. Website scraping using python. April 16, 2016. Website scraping refers to reading of any website's structure to extract needed information through an automated system, usually a script. There is a thin line [.]. Python collections – Part 1 – Defaultdict. Exception handling in Python using try, except and finally. Getting started with Github – A beginner’s guide. Creating a linked list – Python implementation. On Understanding python decorators.
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Python Data, Contributor to PyBloggers
http://www.pybloggers.com/author/python-data
Python Data, Contributor to PyBloggers. Skip to main content. Collecting / Storing Tweets with Python and MySQL. January 24, 2017. January 24, 2017. A few days ago, I published Collecting / Storing Tweets with Python and MongoDB. In that post, I describe the steps needed to collect and store tweets gathered via the Twitter Streaming API. I received a comment on that post asking how to store data into MySQL instead of MongoDB. Here’s what you’d need to do […]. January 10, 2017. January 10, 2017. There are...
Armin Ronacher, Contributor to PyBloggers
http://www.pybloggers.com/author/armin-ronacher
Armin Ronacher, Contributor to PyBloggers. Skip to main content. Be Careful with Python’s New-Style String Format. December 28, 2016. December 29, 2016. This should have been obvious to me for a longer time, but until earlier today I did not really realize the severity of the issues caused by str.format on untrusted user input. It came up as a way to bypass the Jinja2 Sandbox in a way that would permit retrieving information that you should not […]. Be Careful About What You Dislike. November 4, 2016.
Automating Django Deployments with Fabric and Ansible
http://www.pybloggers.com/automating-django-deployments-with-fabric-and-ansible
Automating Django Deployments with Fabric and Ansible. Skip to main content. Automating Django Deployments with Fabric and Ansible. December 28, 2016. December 28, 2016. This post was originally published here. Post, we covered all the steps required to successfully develop and deploy a Django app on a single server. In this tutorial we will automate the deployment process with Fabric. To address these issues:. Handle the incoming concurrent requests. Specifically, we will automate:. Why Python 2.7?
Simulating the Monty Hall Problem
http://www.pybloggers.com/simulating-the-monty-hall-problem
Simulating the Monty Hall Problem. Skip to main content. Simulating the Monty Hall Problem. December 25, 2016. December 25, 2016. This post was originally published here. I’ve been hearing about the Monty Hall problem. For years and its never quite made sense to me, so I decided to program up a quick simulation. Instead, the contestant is more likely to win the car if they change their choice. How can this be? Number of simulations to run. Outcome if do not change choice. Outcome if change choice. Probab...
Machine Learning Walkthrough Part One: Preparing the Data
http://www.pybloggers.com/machine-learning-walkthrough-part-one-preparing-the-data
Machine Learning Walkthrough Part One: Preparing the Data. Skip to main content. Machine Learning Walkthrough Part One: Preparing the Data. December 28, 2016. January 2, 2017. This post was originally published here. Cleaning and preparing data is a critical first step in any machine learning project. In this blog post, Dataquest student Daniel Osei’s. Takes us through examining a dataset, selecting columns for features, exploring the data visually and then encoding the features for machine learning.
Scikit-Learn Cheat Sheet: Python Machine Learning
http://www.pybloggers.com/scikit-learn-cheat-sheet-python-machine-learning
Scikit-Learn Cheat Sheet: Python Machine Learning. Skip to main content. Scikit-Learn Cheat Sheet: Python Machine Learning. January 12, 2017. January 12, 2017. This post was originally published here. By Karlijn Willems January 12, 2017. This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! Most of you who are learning data science with Python will have definitely heard already about. Cheat sheet will intr...
yhat, Contributor to PyBloggers
http://www.pybloggers.com/author/yhat
Yhat, Contributor to PyBloggers. Skip to main content. Isochrones using the Google Maps Distance Matrix API. March 9, 2017. March 9, 2017. By Drew Fustin March 9, 2017 About Drew: Drew is the Lead Data Scientist at SpotHero, an on-demand solution to help drivers find their perfect parking spot, reserved ahead of time often at rates much lower than you’d find if you just drove up to the garage. He’s also worked at Digital H2O and […]. The Current State of Automated Machine Learning. March 7, 2017. In this...
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pyjokes
One line jokes for programmers (jokes as a service). Sudo pip install pyjokes. At the command line to get a random joke. Module in a Python file and use the. Function to easily drop a random joke into your application. Documentation built with MkDocs. From here you can search these documents. Enter your search terms below.
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PyJournal - Discovering awesomeness of python
Discovering awesomeness of python. Python decorators, as the name suggests, are decorators for python entities. In simpler terms, it is a wrapper on an existing functionality without modifying that functionality. Now question may arise, why do we need decorator? Imagine a scenario where you are accessing a function from third party library and want to provide it some additional functionality [.]. Python collections – Part 1 – Defaultdict. August 20, 2016. August 9, 2016. July 10, 2016. May 17, 2016.
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