Vesti – Python programiranje

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). // ]]>

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

​Šta obuhvata ova knjiga U Poglavlju 1, „Izrada aplikacije za blog“, upoznaćete radni okvir, koristeći aplikaciju za blog. Kreiraćete osnovne modele bloga, prikaze (views), šablone (templates) i URL-ove za prikazivanje postova na blogu. Naučićete kako da izradite QuerySets pomoću Django objektnog-relacionog mapera (ORM – Object-Relational Mapper) i kako da konfigurišete Django administratorski sajt. U Poglavlju 2, „Poboljšanje bloga pomoću naprednih funkcija“, naučićete kako da upravljate obrascima i ModelFormsima, da šaljete e-poštu pomoću Djangoa i da integrišete nezavisne aplikacije. Primenićete sistem za komentare na svoje blogove i omogućićete korisnicima da dele postove pomoću e-pošte. Ovo poglavlje će vas takođe voditi kroz proces kreiranja sistema za označavanje. U Poglavlju 3, „Proširenje aplikacije za blog“, istražujemo kako se kreiraju prilagođene oznake šablona i filteri. Takođe će biti prikazano kako se koristi radni okvir mape sajta (sitemap) i kako se kreira RSS feed za postove. Završićete svoju aplikaciju za blog izradom pretraživača koji ima mogućnost PostgreSQL-ovog pretraživanja punog teksta. U Poglavlju 4, „Izrada društvenog veb sajta“, objašnjeno je kako se kreira društveni veb sajt. Koristićete Django radni okvir za autentifikaciju da biste kreirali prikaz korisničkih naloga. Takođe ćete naučiti kako da kreirate prilagođeni model korisničkog profila i kako da ugradite društvenu autentifikaciju u svoj projekat, koristeći glavne društvene mreže. U Poglavlju 5, „Deljenje sadržaja na veb sajtu“, naučićete kako da transformišete svoju društvenu aplikaciju u veb sajt za merenje popularnosti slika. Definisaćete veze tipa „više prema više“ i kreiraćete AJAX aktivni obeleživač (bookmarklet) u JavaScriptu koji ćete integrisati u svoj projekat. U ovom poglavlju će biti prikazano kako se generiše umanjeni prikaz slika i kako se kreiraju prilagođeni dekoratori za prikaze. U Poglavlju 6, „Praćenje korisničkih radnji“, prikazano je kako se izrađuje sistem praćenja za korisnike. Završićete veb sajt za merenje popularnosti slika, tako što ćete kreirati aplikaciju za tok korisničkih aktivnosti. Naučićete kako da optimizujete QuerySets i koristićete signale. Na kraju ćete integrisati Redis u svoj projekat da biste izbrojali prikaze slika. U Poglavlju 7, „Izrada internet prodavnice“, istražujemo kako se kreira internet prodavnica. Izradićete modele kataloga i kreiraćete korpu za kupovinu, koristeći Django sesije. Izradićete kontekstni procesor za korpu za kupovinu i naučićete kako da primenite slanje asinhronih obaveštenja korisnicima koji koriste Celery. U Poglavlju 8, „Upravljanje plaćanjem i narudžbenicama“, objašnjeno je kako možete da integrišete platni mrežni prolaz u svoju prodavnicu. Takođe ćete prilagoditi administratorski sajt za izvoz narudžbenica u CSV datoteke i dinamički ćete generisati PDF fakture. U Poglavlju 9, „Proširenje prodavnice“, naučićete kako da kreirate sistem za kupone za primenu popusta na porudžbine. Takođe ćemo prikazati kako da dodate internacionalizaciju svom projektu i kako da prevedete modele. Na kraju ćete kreirati mehanizam za preporuku proizvoda pomoću Redisa. Poglavlje 10, „Izrada platforme za elektronsko učenje“, vodiće vas kroz kreiranje platforme za elektronsko učenje. U projektu ćete da dodate fixture (skup podataka), da koristite nasleđivanje modela, da kreirate polja prilagođenih modela, da koristite prikaze zasnovane na klasama i da upravljate grupama i dozvolama. Takođe ćete da kreirate sistem za upravljanje sadržajem i da upravljate skupovima obrazaca (formsets). U Poglavlju 11, „Renderovanje i keširanje sadržaja“, biće prikazano kako možete da kreirate sistem za registraciju učenika i kako da upravljate upisom učenika na kurseve. Renderovaćete različite sadržaje kursa i naučićete kako da koristite radni okvir keš memorije. U Poglavlju 12, „Izrada API-a“, naučićete postupak izrade RESTful API-a za svoj projekat, koristeći Django REST radni okvir. U Poglavlju 13, „Izrada servera za ćaskanje“, objasnićemo kako se koriste Django kanali za kreiranje servera za ćaskanje u realnom vremenu za učenike. Naučićete kako da primenite funkcije koje se oslanjaju na asinhronu komunikaciju pomoću WebSocketsa. U Poglavlju 14, „Akcija“, biće prikazano kako da podesite proizvodno okruženje, koristeći uWSGI, NGINX i Daphne. Naučićete kako da obezbedite okruženje pomoću HTTPS-a. U ovom poglavlju je takođe objašnjeno kako se kreiraju prilagođeni posrednički softver i prilagođene komande za upravljanje. NARUČITE KNJIGU: KORPA

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Da li ste ikada razmišljali o tome da postanete registrovani član Kompjuter biobliteke? Ako niste, vreme je da razmislite! Postati član naše biblioteke donosi mnoge prednosti koje će obogatiti vašu ljubav prema knjigama i tehnologiji. Evo nekoliko razloga zašto je to odlična odluka. 1. Jednostavan proces registracije Postati registrovani član je neverovatno jednostavno i pristupačno. Sve što treba da uradite je da kupite bilo koju našu knjigu - preko sajta ili lično u knjižari. Registracija zahteva samo osnovne podatke: ime i prezime, adresu prebivališta, telefon i email adresu. Ovim jednostavnim korakom otvarate vrata mnogobrojnim mogućnostima i pogodnostima koje pruža članstvo. 2. Rođendanski popusti Kao registrovani član, svake godine na svoj rođendan imate pravo na poseban poklon od nas - kupovinu bilo koje naše knjige po specijalnoj rođendanskoj ceni od samo 1. 000 dinara. Ovo je naš način da vam zahvalimo što ste deo naše zajednice i da proslavimo vaš poseban dan sa vama. 3. Ekskluzivne akcije i popusti Jedna od glavnih prednosti članstva su ekskluzivni mejlovi koje šaljemo samo našim registrovanim članovima. U ovim mejlovima se nalaze specijalni kodovi za popuste i informacije o akcijama koje nisu dostupne onima koji nisu članovi. To znači da imate pristup najboljim ponudama i priliku da prvi saznate za naše posebne akcije. 4. Status "PRETPLATNIK" i dodatni popusti Ako se odlučite da se pretplatite na novu knjigu, automatski stičete status "PRETPLATNIK". Ovo ne samo da vam garantuje da ćete među prvima dobiti najnovija izdanja, već i omogućava kupovinu još jedne knjige sa neverovatnim popustom od 40% u odnosu na redovnu knjižarsku cenu. Ovo je savršena prilika da proširite svoju kolekciju knjiga po znatno povoljnijim cenama. NAPOMENA: Trenutno je u pretplati najnovija knjiga "ujka Boba": "Funkcionalan dizajn" Koja izlazi iz štampe 24. januara. Ukoliko se pretplatite na ovu knjigu, možete bilo koju drugu našu knjigu da kupite sa 40% popusta.