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Vesti – Python programiranje

Ukupno: 9, strana 1 od 1

Django sajtovi, danas Pinterest

 

 

 

Django i Pinterest Vikipedija: Django (/ˈdʒæŋɡoʊ/ JANG-goh) je besplatan veb frejmvork otvorenog koda, napisanog u Pajtonu, koji prati MVC arhitekturu (MVC) arhitektonski obrazac. Održavan je od strane Softverske Fondacije Django. Glavni cilj Django-a je da olakša pravljenje kompleksnih veb sajtova baziranih na bazama podataka. Django stavlja akcenat na ponovno korišćenje i "priključnost" komponenti, rapidno brz razvoj i princip "ne ponavljaj se". Pajton je korišćen sve vreme, čak i za podešavanja, fajlove, i modele podataka. Django takođe nudi opcioni administrativni create, read, update i delete interfejs koji je generisan dinamično kroz samoposmatranje i podešen kroz modele administratora. U narednim danima ćemo vas upoznati sa sajtovima koji su koristili Django kao frejmvork. Jedna od najpopularnijih je Pinterest. Pinterst Ako želite da pristupite sa desktop kompjutera: Pinterest. Android aplikacija: Pinterest iOS aplikacija: Pinterest. Tviter: Pinterest. Fesjbuk: Pinterest. Google+: Pinterest.
 
   

Internet stvari broj 23 od 19.09.2015

 

 

 

Amanda Lewan: Why This VC Is Bullish on Detroit Building the Internet of Things Amina Elahi: Internet of Things shines at ITA CityLights Awards Wearables: A Pandora’s Box For Security? Analyst slams Amazon's 'confusing' hardware strategy (AMZN) 30 smart crowdfunding campaigns you may want to back this week ZymKey Top iOS ad blocker ‘Peace’ gets yanked from the App Store Smartwatch growth predicted, thanks largely to Apple Watch Smart IoT connected lighting to make European debut Salesforce IoT Cloud: Massive Scale For 'Internet Of Customers' Samsung's S Health app now supports all Android phones Broadcom's New Connectivity Chips Expand Its Presence In The Auto Segment Acal BFI claims high performance for Honeywell’s new pressure sensor series The Intel-powered “wings” on this dress expand when your adrenaline spikes Converting analogue utility meters to digital ‘now even simpler’ with compact retrofit solution
 
   

Medium Python top 10 Articles august 2017.

 

 

 

For the past month, we ranked nearly 1,700 Python articles to pick the Top 10 stories that can help advance your career (0. 59% chance to be picked in the list). Topics in this list are: Algorithms, OpenCV, Image Recognition, Credit Card, TensorFlow, Market Analysis, Blockchain, Cryptocurrency, Web Scraping. Machine Learning Top 10 is posted separately in the publication. Python Open Source of the Month is included in the end. Mybridge AI ranks articles based on the quality of content measured by our machine and a variety of human factors including engagement and popularity. This is a competitive list and you’ll find the experience and techniques shared by Python leaders particularly useful. Rank 1 Pygorithm: A fun way to learn all major Python algorithms. Rank 2 Credit card OCR with OpenCV and Python [Part II]. Courtesy of Adrian Rosebrock ……[ Part I — Image Difference with OpenCV and Python ] Rank 3 The Hitchhiker’s Guide to Machine Learning in Python. Courtesy of Conor Dewey and freeCodeCamp Rank 4 Word2Vec word embedding tutorial in Python and TensorFlow. Courtesy of Andy Thomas Rank 5 Let’s Build the Tiniest Blockchain: In Less Than 50 Lines of Python [Part I]. Courtesy of Gerald Nash ⚡️ ……… [ Part II ] Rank 6 Enriching Your Python Classes With Dunder (Magic, Special) Methods. Courtesy of Dan Bader Rank 7 Introduction to Market Basket Analysis in Python. Courtesy of Chris Moffitt Rank 8 Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Web Data Insights. Courtesy of ScrapingAuthority Rank 9 Quick Tip: Speed up your Python data processing scripts with Process Pools. Courtesy of Adam Geitgey, Teacher at Lynda. com Rank 10 Nashpy Tutorial: Building and finding the equilibrium for a simple game.
 
   

Python Weekly 219

 

 

 

NewsPEP 0508 -- Dependency specification for Python Software PackagesThis PEP specifies the language used to describe dependencies for packages. It draws a border at the edge of describing a single dependency - the different sorts of dependencies and when they should be installed is a higher level problem. The intent is to provide a building block for higher layer specifications. Articles, Tutorials and TalksA Python Interpreter Written in PythonByterun is a Python interpreter implemented in Python. This chapter will walk through the structure of the interpreter and give you enough context to explore it further. The goal is not to explain everything there is to know about interpreters --- like so many interesting areas of programming and computer science, you could devote years to developing a deep understanding of the topic. Pyston Talk A talk about the current status of Pyston and some of it's internal workings, such as our mini tracing-JIT. Episode #35: Turbogears and the future of Python web frameworksDo you have a new web project coming up? Are you thinking of choosing Django or maybe Flask? Those are excellent frameworks, but you might also want to check out TurboGears. It was created and released around the same time as Django. It lets you starts your project as a microframework (like Flask) and yet can scale up to a fullstack solution (like Django). It also has built-in support both relational DBs (via SQLAlchemy) and MongoDB. This week Alessandro Molina is here to tell us all about TurboGears! Podcast. __init__ Episode 32 - Erik Tollerud on AstroPyErik Tollerud is an astronomer with a background in software engineering. He leverages these backgrounds to help build and maintain the AstroPy framework and its associated modules. AstroPy is a set of Python libraries that provide useful mechanisms for astronomers and astrophysicists to perform analyses on the data that they receive from observational equipment such as the mountain observatory that Erik was preparing to visit when we talked to him about his work. If you like Python and space then you should definitely give this episode a listen!Python 3. 5 type hinting in PyCharm 5Python 3. 5 introduces type hinting to help code-writing during development. Let's take a look at this feature and show it in action. Of Interneting Trees with Python and PiBlot're. py is a thin Blot're client for Python. This library has similar capabilities to Blot're. js and makes it easy to connect all sorts of good stuff to Blot're. Good stuff like your household plants. This post provides a quick introduction to Blot're. py by example. We'll hook a plant up to Blot're using a Raspberry Pi and a simple moisture sensor.  BDD Testing a Restful Web Application in PythonThis post is an introduction to behaviour-driven development (BDD) in Python, of a RESTful application using Flask web framework. Covers the syntax, structure and goals of BDD. Getting started with Docker, Compose and DjangoThis guide shows you how to set up a Django application and development environment using Docker. How to setup a data science environment in minutes using Docker and JupyterIn this post, we'll cover the basics of Docker, how to install it, and how to leverage Docker containers to quickly get started with data science on your own machine. Flappy Bird in 87 Lines of PythonPython's Hidden Regular Expression GemsOptimizing Slow Django REST Framework PerformanceDjango Under The Hood TalksSpace Invaders created in 1. 5 hours with Pygame PyCon Ireland 2015 VideosBooksMastering PyCharm If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType. How to Make Mistakes in Python Even the best programmers make mistakes, and experienced programmer Mike Pirnat has made his share during 15+ years with Python. Some have been simple and silly; others were embarrassing and downright costly. In this O'Reilly report, he dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong. Interesting Projects, Tools and LibrariesCacheBrowserA proxy-less censorship resistance tool.  The core idea of CacheBrowser is to grab censored content cached by Content Delivery Networks such as Akamai and CloudFlare directly from their CDN edge servers, therefore, foiling censors' DNS interference. Hacker ScriptsBased on a true story. FINDThe Framework for Internal Navigation and Discovery (FIND) allows you to use your smartphone or laptop to determine your position within your home or office. You can easily use this system in place of motion sensors as its resoltion will allow your phone to distinguish whether you are in the living room, the kitchen or the bedroom, etc. The position information can then be used in a variety of ways including home automation, way-finding, or tracking!ButterflyNetButterflyNet is an server-side batteries-included secure networking framework built upon asyncio. Scikit FlowThis is a simplified interface for TensorFlow, to get people started on predictive analytics and data mining. RefineryA locally deployable open-source web platform for analysis of large document collections. Flask-BloggingA Markdown Based Python Blog Engine as a Flask Extension.  neural-art-tf"A neural algorithm of Artistic style" in tensorflow. dcgan_codeDeep Convolutional Generative Adversarial Networks. ABlogABlog is a Sphinx extension that converts any documentation or personal website project into a full-fledged blog. ImageColorThemeExtract Color Themes from Images. New Releasespandas 0. 17. 1This is a minor bug-fix release from 0. 17. 0 and includes a large number of bug fixes along several new features, enhancements, and performance improvementsMicroPython 1. 5Python 3. 5. 1rc1 ReleaseDjango security releases issued: 1. 9rc2, 1. 8. 7, 1. 7. 11
 
   

Python Weekly No 209

 

 

 

News Swiss Python Conference Call for Proposals The call for proposals for the first Swiss Python conference is open! The deadline for sending proposals is October 31st. The organizing committee will review all proposals and will post a definitive schedule latest November 30th. 2015. Articles, Tutorials and Talks Hacking the Random Walk Hypothesis Random number generators are used everyday to encrypt data and communications but if the random number generators are flawed then they stop being cryptographically secure and hackers can exploit those vulnerabilities to decrypt the encrypted data and communications. For this reason random number generators need to pass robust sets of statistical tests for randomness, such as the NIST suite of cryptographic tests for randomness, to determine whether they are sufficient for cryptographic uses. In this post we are going to subject various financial market returns to the NIST suite of tests and see whether or not we should be able to, in theory, hack the market. Analyzing 1. 7 Billion Reddit Comments with Blaze and Impala In this post, we'll use Blaze and Impala to interactively query and explore a data set of approximately 1. 7 billion comments (975 GB uncompressed) from the reddit website from October 2007 to May 2015. This data set was made available on July 2015 in a reddit post. The data set is in JSON format (one comment per line) and consists of the comment body, author, subreddit, timestamp of creation and other fields. Let's Build A Simple Interpreter. Part 4. In this part, you're going to learn how to parse and interpret arithmetic expressions with any number of multiplication and division operators in them. I will also talk quite a bit about another widely used notation for specifying the syntax of a programming language. It's called context-free grammars (grammars, for short) or BNF (Backus-Naur Form). For the purpose of this article I will not use pure BNF notation but more like a modified EBNF notation. Straightening Loops: How to Vectorize Data Aggregation with pandas and NumPy This notebook demonstrates alternatives to loops in your code that offer performance and readability improvements of multiple orders of magnitude. It compares native Python loop performance to NumPy and pandas vectorized operations and provides recipes for performing efficient aggregation and transformation with pandas. Episode #25: Effective Python What if you could bottle up all the wisdom and hard-fought experience of many expert Python developers and power up your own skills? That's what Brett Slatkin did and he put it in his book Effective Python. Brett has had a unique opportunity to learn the correct and efficient ways to write Python. He has worked at Google on Google App Engine (GAE) alongside greats such as Guido van Rossum and Alex Martelli. Join the conversation where we discuss some of that wisdom when we talk about Brett's book "Effective Python".   Adding a Simple GUI to Your Pandas Script This article shows you an example of how to easily create an end-user-friendly GUI using the Gooey library. This interface is based on wxWindows so it looks like a "native" application on Windows, Mac and Linux.   Introduction to Python UDFs in Amazon Redshift This post serves as a tutorial to get you started with Python UDFs, showcasing how they can accelerate and enhance your data analytics. You'll explore the CMS Open Payments Dataset as an example. Ball Tracking with OpenCV After reading this post, you'll have a good idea on how to track balls (and other objects) in video streams using Python and OpenCV. How to Create Webkit Browser with Python In this tutorial we’ll create simple web browser using Python PyQt framework. A Web Crawler With asyncio Coroutines Sharks, Landsharks, Geoplotting, and KDTrees! Modern Methods for Sentiment Analysis      Test Fixtures: Setup, Teardown, and so much more (PT004) Books Doing Math with Python Doing Math with Python shows you how to use Python to delve into high school--level math topics like statistics, geometry, probability, and calculus. You'll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you've gotten the hang of things. Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You'll write an inequality solver, plot gravity's effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Interesting Projects, Tools and Libraries GDB dashboard Modular visual interface for GDB in Python. This comes as a standalone single-file . gdbinit which, among the other things, enables a configurable dashboard showing the most relevant information during the program execution. Its main goal is to reduce the number of GDB commands issued to inspect the current program status allowing the programmer to focus on the control flow instead. Twittor A fully featured backdoor that uses Twitter as a C&C server. sshuttle Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling. Videodigest Videodigest is a command-line utility for generating summaries of videos by (1) applying an automatic summarization algorithm to their subtitles to find the N most important sentences, then (2) compiling the video regions where those sentences appear. c8d A Chip-8 disassembler in Python. The disassembly is based on Cowgod's Chip-8 technical reference document. Armada   Armada is a complete solution for development, deployment, configuration and discovery of microservices. Armada is more than just a tool, it defines conventions and good practices designed towards making your platform more service oriented. Nylas Sync Engine  The Nylas Sync Engine provides a RESTful API on top of a powerful email sync platform, making it easy to build apps on top of email. pyramid_blogr Pyramid_blogr is an example implementation of Flaskr app with Pyramid Web Framework. PyScaffold Python project generator with batteries included. Snaql Raw SQL queries from Python without pain.   New Releases Python 3. 5. 0  Python 3. 5. 0 is the newest version of the Python language, and it contains many exciting new features and optimizations. Jython 2. 7. 1 beta1
 
   

Python Weekly No 211

 

 

 

News PyCon 2016 Call For Proposals The Call For Proposals is now open -- the PyCon 2016 conference in Portland, Oregon, is accepting talks, tutorial, and poster proposals! Articles, Tutorials and Talks Recurrent Neural Networks Tutorial, Part 2 - Implementing a RNN with Python, Numpy and Theano This the second part of the Recurrent Neural Network Tutorial. In this part we will implement a full Recurrent Neural Network from scratch using Python and optimize our implementation using Theano, a library to perform operations on a GPU.   Episode #27: Four Years of Python for High Schoolers Often people complain about the lack of developer skills in western countries like the United States and that problem is amplified when you consider typically under represented groups such as women and minorities. This week you'll meet Laura Blankenship who is doing more than her share to widen the appeal of programming in general and Python in particular.   Natural Language Basics with TextBlob The aim of this post is to introduce a few simple concepts and techniques from NLP--just the stuff that'll help you do creative things quickly, and maybe open the door for you to understand more sophisticated NLP concepts that you might encounter elsewhere. We'll use a Python library called TextBlob to perform simple natural language processing tasks. Podcast. __init__ Episode 24 - Griatch on Evennia Griatch is an incredibly talented digital artist, professional astronomer and the maintainer of the Evennia project for creating MUDs in Python. We got the opportunity to speak with him about what MUDs are, why they're interesting and how Evennia simplifies the process of creating and extending them. If you're interested in building your own virtual worlds, this episode is a great place to start. Graph Databases for Python Users In this talk, you'll learn how to use Python to collect data from Twitter's API, Neo4j to easily and reliably store this highly-connected data, and Python again for quick analysis and visualization. Memory layout of multi-dimensional arrays When working with multi-dimensional arrays, one important decision programmers have to make fairly early on in the project is what memory layout to use for storing the data, and how to access such data in the most efficient manner. Since computer memory is inherently linear - a one-dimensional structure, mapping multi-dimensional data on it can be done in several ways. In this article I want to examine this topic in detail, talking about the various memory layouts available and their effect on the performance of the code. Using Gabbi and Hypothesis to Test Django APIs In the world of testing it is important to write tests that are both easy to read and covering a wide range of scenarios. Often one of these will be sacrificed to facilitate the other, such as hard coding your examples so that your test logic remains clear or by creating an overly complicated setup so that multiple scenarios can be explored. Here we discuss two tools that, when combined, will allow you to explore more of the test surface of your web API while still creating clear and maintainable tests. Python 3. 5 and multitasking Books Python Machine Learning Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Interesting Projects, Tools and Libraries Zulip Zulip is a powerful, open source group chat application. Written in Python and using the Django framework, Zulip supports both private messaging and group chats via conversation streams. Zulip also supports fast search, drag-and-drop file uploads, image previews, group private messages, audible notifications, missed-message emails, desktop apps, and much more. dnsteal DNS Exfiltration tool for stealthily sending files over DNS requests. voc A transpiler that converts Python bytecode into Java bytecode. procedural_city_generation Procedural City Generation program implemented in Python and Visualized with Blender. Flask-Potion Flask-Potion is a RESTful API framework for Flask and SQLAlchemy. Graphene This is a library to use GraphQL in Python in a easy way. It will map the models/fields to internal GraphQL-py objects without effort. flask-scaffolding Flask Scaffolding featuring Python 3. 4, SQLALCHEMY, BackboneJS, RequireJS & Sass (Bootstrap 3) spectrogram. py ANSI art spectrogram viewer that reads audio from a microphone. Foresight A tool for predicting the output of random number generators. Malfunction Malfunction is a set of tools for cataloging and comparing malware at a function level. Uses Radare2 internally for finding function locations. New Releases Plone 5 Plone 5 is fifteen years of stability wrapped in a modern, powerful user-centric package. It continues to set the pace for content management systems by offering the most functionality and customization out of the box.
 
   

Python Weekly No 212

 

 

 

Articles, Tutorials and Talks Probability, Paradox, and the Reasonable Person Principle In this notebook, Peter Norvig covers the basics of probability theory, and show how to implement the theory in Python.  Then he shows how to solve some particularly perplexing paradoxical probability problems. Episode #28: Making Python Fast: Profiling Python Code Is that Python code of yours running a little slow? Are you thinking of rewriting the algorithm or maybe even in another language? Well, before you do, you'll want to listen to what Davis Silverman has to say about speeding up Python code using Profiling.   Podcast. __init__ Episode 25 - uWSGI Core Developers uWSGI is one of the most versatile application servers available. It was originally written for running Python applications and has since gained functionality to support Perl, Ruby, PHP, and more in addition to the incredible feature set. In this episode Tobias got to interview three of the core developers of this project and find out more about how the different pieces of it fit together and what its future holds. Learn how to use RethinkDB with Jupyter This talk demonstrates how to perform ReQL queries in a Jupyter notebook, integrating with matplotlib and other libraries to generate data visualizations. A Primer on Neural Network Models for Natural Language Processing Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This tutorial surveys neural network models from the perspective of natural language processing research, in an attempt to bring natural-language researchers up to speed with the neural techniques. The tutorial covers input encoding for natural language tasks, feed-forward networks, convolutional networks, recurrent networks and recursive networks, as well as the computation graph abstraction for automatic gradient computation. Getting started with Pandas This post covers some introductory tips and tricks to help one get started with Pandas. What Python Tools should I be using on every python project? A good discussion on Reddit. LinkedIn Social Authentication in Django In this tutorial, we'll demonstrate in detail how to integrate Python Social Auth library into your Django Project to provide user authentication through LinkedIn using OAuth 2. 0. PyPy memory and warmup improvements (2) - Sharing of Guards Books Mastering Flask If you are a Flask user who knows the basics of the library and how to create basic web pages with HTML and CSS, and you want to take your applications to the next level, this is the book for you. Harnessing the full power of Flask will allow you to create complex web applications with ease. Numerical Python: A Practical Techniques Approach for Industry  Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical capabilities in Python, its standard library, and the extensive ecosystem of computationally oriented Python libraries, including popular packages such as NumPy, SciPy, SymPy, Matplotlib, Pandas, and more, and how to apply these software tools in computational problem solving. Python Jobs of the Week Full Stack Developer at Mailgun Mailgun is hiring a full stack developer to work on our control panel team. As a member of this team, you will be responsible for helping build a great customer experience for each and every customer who uses our product.   Interesting Projects, Tools and Libraries Weeman HTTP Server for phishing in Python. pythonize Download, install, and configure Python in one line. intro2stats Introduction to Statistics using Python. safe-commit-hook pre-commit hook for Git that checks for suspicious files.   jupyter-themer Apply custom CSS styling to your jupyter notebooks. DiffPy  A free and open source software project to provide python software for diffraction analysis and the study of the atomic structure of materials. Invatar Invatar provides an "API" for generating fully customizable SVG and image avatars with small text. Inspired from many messaging apps. receipt-parser A fuzzy (supermarket) receipt parser written in Python using tesseract. bqplot Plotting library for IPython/Jupyter Notebooks. Pew A tool to manage multiple virtual environments written in pure python rc-data A script to generate question/answer pairs using CNN and Daily Mail articles downloaded from the Wayback Machine. New Releases Django Bugfix release issued: 1. 8. 5 Numpy 1. 10. 0 PyDev 4. 4. 0
 
   

Python Weekly No 217

 

 

 

Articles, Tutorials and Talks Podcast. __init__ Episode 29 - Anthony Scopatz on Xonsh Anthony Scopatz is the creator of the Python shell Xonsh in addition to his work as a professor of nuclear physics. In this episode we talked to him about why he created Xonsh, how it works, and what his goals are for the project. It is definitely worth trying out Xonsh as it greatly simplifies the day-to-day use of your terminal environment by adding easily accessible python interoperability. Advanced Jupyter Notebook Tricks -- Part I The Part 1 describes how to use Jupyter to create pipelines and reports. Teardown: Refactoring Search from Monolith to Microservice This post explains the technical choices we made while refactoring our search feature from a component within a monolithic Django project into a microservice. It explores our efforts to break dependence on a shared database, use central authentication and plan for redundancy, among other things. Building Data Pipelines with Python and Luigi This post will discuss some experience in building data pipelines, e. g. extraction, cleaning, integration, pre-processing of data, in general all the steps that are necessary to prepare your data for your data-driven product. In particular, the focus in on data plumbing, and how a workflow manager like Luigi can come to the rescue, without getting in your way. With a minimal effort, the transition from prototype to production can be smoother. The Geography of Basketball: Mapping NBA Shotcharts in ArcGIS There are a lot of great blog posts out there about techniques to get and plot basketball data using the NBA stats API. This post shows how you can use Python to push this data into a Geographic Information System, ArcGIS. From there, you can leverage concepts, tools, and applications that are generally reserved for geography and geographers to make some great visuals from NBA player shot chart data. Deep Learning for Visual Question Answering This post talks about the Visual Question Answering problem, and also present neural network based approaches for same. Five Hundred Deep Learning Papers, Graphviz and Python Let's Build A Simple Interpreter. Part 6. Getting Started with OpenCV and Python: Featuring The Martian Building Simple Command Line Interfaces in Python Books Getting Started with Python and Raspberry Pi Learn to design and implement reliable Python applications on the Raspberry Pi using a range of external libraries, the Raspberry Pis GPIO port, and the camera module. Interesting Projects, Tools and Libraries curio Curio is a modern library for performing reliable concurrent I/O using Python coroutines and the explicit async/await syntax introduced in Python 3. 5. Its programming model is based on cooperative multitasking and common system programming abstractions such as threads, sockets, files, subprocesses, locks, and queues. Under the covers, it is based on a task queuing system that is small, fast, and powerful. confidant Confidant is a open source secret management service that provides user-friendly storage and access to secrets in a secure way, from the developers at Lyft. worldengine World generator using simulation of plates, rain shadow, erosion, etc. dive-into-machine-learning Dive into Machine Learning with Jupyter and scikit-learn. neural-storyteller A recurrent neural network for generating little stories about images. Harvey Harvey is a command line legal expert who manages license for your open source project. RemI Python REMote Interface library. Platform indipendent. In less than 100 Kbytes, perfect for your diet. aioodbc A library for accessing a ODBC databases from the asyncio. sklearn-deap Use evolutionary algorithms instead of gridsearch in scikit-learn. This allows you to exponentially reduce the time required to find the best parameters for your estimator. Instead of trying out every possible combination of parameters, evolve only the combinations that give the best results. oscrypto Compilation-free, always-patched, Python crypto library for OS X, Windows and Linux/BSD. sentimentAPI A fast python scikit-learn text sentiment API server. sops sop is an editor of encrypted files that supports YAML, JSON and TEXT formats and encrypts with AWS KMS and PGP (via GnuPG).   New Releases PyCharm 5 PyCharm 5 brings an outstanding lineup of new features, including full Python 3. 5 support, Docker integration, Thread Concurrency Visualization, code insight for Django ORM methods, Conda integration, and IPython Notebook v4 support, just to name a few. Django 1. 8. 6 Django 1. 8. 6 adds official support for Python 3. 5 and fixes several bugs in 1. 8. 5. Anaconda 2. 4 matplotlib-1. 5 // Getting Started with OpenCV and Python: Featuring The Martian Building Simple Command Line Interfaces in Python Books Getting Started with Python and Raspberry Pi Learn to design and implement reliable Python applications on the Raspberry Pi using a range of external libraries, the Raspberry Pis GPIO port, and the camera module. Interesting Projects, Tools and Libraries curio Curio is a modern library for performing reliable concurrent I/O using Python coroutines and the explicit async/await syntax introduced in Python 3. 5. Its programming model is based on cooperative multitasking and common system programming abstractions such as threads, sockets, files, subprocesses, locks, and queues. Under the covers, it is based on a task queuing system that is small, fast, and powerful. confidant Confidant is a open source secret management service that provides user-friendly storage and access to secrets in a secure way, from the developers at Lyft. worldengine World generator using simulation of plates, rain shadow, erosion, etc. dive-into-machine-learning Dive into Machine Learning with Jupyter and scikit-learn. neural-storyteller A recurrent neural network for generating little stories about images. Harvey Harvey is a command line legal expert who manages license for your open source project. RemI Python REMote Interface library. Platform indipendent. In less than 100 Kbytes, perfect for your diet. aioodbc A library for accessing a ODBC databases from the asyncio. sklearn-deap Use evolutionary algorithms instead of gridsearch in scikit-learn. This allows you to exponentially reduce the time required to find the best parameters for your estimator. Instead of trying out every possible combination of parameters, evolve only the combinations that give the best results. oscrypto Compilation-free, always-patched, Python crypto library for OS X, Windows and Linux/BSD. sentimentAPI A fast python scikit-learn text sentiment API server. sops sop is an editor of encrypted files that supports YAML, JSON and TEXT formats and encrypts with AWS KMS and PGP (via GnuPG). // ]]>
 
   

Python Weekly No 218

 

 

 

Articles, Tutorials and Talks Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) This tutorial teaches Recurrent Neural Networks via a very simple toy example, a short python implementation. Asynchronous Programming with Python 3 Python 3. 5 introduced the new keywords, async and await to Python. This change solidifies a strong commitment towards writing asynchronous programs in Python. Before in Python 3. 4, we needed to use parts of the standard library (using the decorator asyncio. coroutine). So, what does this all mean? In this tutorial, we are going to try and answer that question. Episode #34: Continuum: Scientific Python and The Business of Open Source What if you built a product that dramatically improved how hundreds of free, open source Python libraries worked together, gave it to the world for free, and then built a thriving business on it? It's the open-source dream really, isn't it? In this episode, we talk with Travis Oliphant from Continuum who did exactly that!  Comparing 7 Python data visualization tools In this post, we'll use a real-world dataset, and use each of these 7 libraries to make visualizations. As we do that, we'll discover what areas each library is best in, and how to leverage the Python data visualization ecosystem most effectively. Build a simple distributed system using AWS Lambda, Python, and DynamoDB In this post, we'll present a complete example of a data aggregation system using Python-based Lambda functions, S3 events, and DynamoDB triggers; and configured using the AWS command-line tools (awscli) wherever possible.   Podcast. __init__ Episode 31 -  Dariusz Suchojad on Zato Service integration platforms have traditionally been the realm of Java projects. Zato is a project that shows Python is a great choice for systems integration due to its flexibility and wealth of useful libraries. In this episode we had the opportunity to speak with Dariusz Suchojad, the creator of Zato about why he decided to make it and what makes it interesting. Listen to the episode and then take it for a spin. Machine Learning with a Data-Unfriendly Stack Stripe processes billions of dollars in payments a year on behalf of tens of thousands of businesses, using machine learning to detect and stop fraudulent transactions and fraudulent merchants. Our modeling workflow involves the typical "data science" tools: R and IPython for exploratory analysis, Hadoop for batch data processing, and scikit-learn for model building. However, Stripe's production backend is written in Ruby and uses MongoDB as its data store, and this has introduced difficulties for both model training and production scoring. In this talk, I'll describe the various choices we've made to bridge "main land" and "data land" and how, in the process, our model development process has gone from terrible to "ok. " Digging Into the Pronto Data Release In October Seattle's bike sharing service, Pronto, turned one year old and released a treasure-trove of data on the 140,000 individual trips during the first year. Here I want to dig into this data and answer a few questions. Profiling Python using cProfile: a concrete case Writing programs is fun, but making them fast can be a pain. Python programs are no exception to that, but the basic profiling toolchain is actually not that complicated to use. Here, I would like to show you how you can quickly profile and analyze your Python code to find what part of the code you should optimize. Bayesian Modelling in Python A tutorial for those interested in learning how to apply bayesian modelling techniques in python (PYMC3). This tutorial doesn't aim to be a bayesian statistics tutorial - but rather a programming cookbook for those who understand the fundamental of bayesian statistics and want to learn how to build bayesian models using python.   Z algorithm in Python  There are few algorithms for exact substring searching (e. g. Knuth-Morris-Pratt, Boyer-Moore etc. ) This post explains one of them which is called Z algorithm. The Geography of Basketball, Part II: Watching the Game in ArcGIS A real Python "wat" Practical Natural Language Processing with Hostel Reviews Visualising Markov Chains with NetworkX Books Getting Started with Python Data Analysis This is an easy-to-follow, step-by-step guide to get you familiar with data analysis and the libraries supported by Python. Topics are explained with real-world examples wherever required. Interesting Projects, Tools and Libraries tpot A Python tool that automatically creates and optimizes Machine Learning pipelines using genetic programming. Mining Georeferenced Data A hands on guide on using Python to collect, analyse and mine geo-referenced data from location based services (e. g. Foursquare, Twitter) and the Sharing Economy (Uber, Airbnb etc. ). mailur Mailur aims to become the future open source replacement for Gmail. It is already usable as an alternative Gmail interface with a set of unique features. ElastAlert  ElastAlert is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch. birdseed birdseed is a utility to create pseudo and/or "real" random numbers from tweets based on a particular search query over Twitter's API. Zerotest Lazy guy's testing tool, test your API server like a boss. Zerotest makes it easy to test API server, start a micro proxy, send requests, and generate test code by these behaviours. Talisman Talisman is a small Flask extension that handles setting HTTP headers that can help protect against a few common web application security issues. Spinnaker Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. tensorflow-deepq A deep Q learning demonstration using Google Tensorflow. Orator The Orator ORM provides a simple yet beautiful ActiveRecord implementation. rc Redis cache cluster system in Python. New Releases Django 1. 9 release candidate 1
 
   

 

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