Derrubando mitos em Python
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The document discusses detonating (debunking) myths in Python. It addresses common misconceptions about regular expressions (regex), encodings, line breaks, and object orientation in Python. The author presents examples to demonstrate the actual behaviors and dispel misconceptions. For instance, it shows that raw strings in Python do not interpret escape characters unlike normal strings, and encoding declarations can be used to specify character encodings. The document aims to educate about proper Python concepts and usages.
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The document discusses several new features in Perl 6, including phasers for controlling program flow, sets and sequences, types, subsets for defining custom types, grammars, and the MAIN subroutine. It provides examples of using phasers to control block and loop execution, built-in set operations like union and intersection, sequence syntax for ranges, type checking for variables and parameters, defining subsets for things like positive numbers, and using grammars and the MAIN subroutine for command line apps.
RedisConf17- durable_rules
durable_rules is a framework for real-time event processing and inference using a Rete algorithm. It was created based on the author's personal research and can analyze streaming data to infer new information using rules. The document discusses the history of rule-based systems and expert systems, describes how the Rete algorithm works to efficiently match patterns in data, benchmarks durable_rules' performance against alternative approaches, and provides an example of using it to solve a seating arrangement problem based on guest attributes. Future plans include improving performance, supporting richer queries, and potentially developing it as a web service.
Clojure made simple - Lightning talk
A very simple overview of some Clojure characteristics and syntax to help you get going with the language
Parallel Computing in R
This document discusses using parallel computing in R with the snow package. It provides an overview of using snow to distribute computations across multiple CPUs. Examples are given showing how snow can be used with functions like parApply to speed up matrix multiplication by performing the operation in parallel on a cluster. The document also discusses using snow together with Rmpi and a job scheduler like Sun Grid Engine to enable parallel computing on a computing cluster.
MongoDB Europe 2016 - Debugging MongoDB Performance
Asya is back, and so is Sherlock Holmes and his techniques to gather and analyze data from your poorly performing MongoDB clusters. In this advanced talk we take a deep look at all the diagnostic data that lives inside MongoDB - how to interrogate and interpret it to help you solve those frustrating performance bottlenecks that we all face occasionally.
Spring scala - Sneaking Scala into your corporation
Spring Scala provides an API for defining beans in Scala and wrappers for existing Spring functionality. It allows defining beans as functions, using Scala collections and options instead of Java APIs, and aspect-oriented programming without inner classes. While pure Java configuration can be used with Scala, Spring Scala offers a more Scala-friendly experience when integrating Scala code with existing Spring applications and services. Introducing Spring Scala in an incremental, evolutionary manner is recommended over rewriting large projects.
Clojure made really really simple
A lightning talk on Clojure given in 7 minutes and 20 seconds at one of the London Java Community events.
42: Rise of the dependent types
Presented at Scala Exchange 2014: https://skillsmatter.com/skillscasts/5946-42-rise-of-the-dependent-types
Similar to Derrubando mitos em Python (20)
Software Vulnerabilities in C and C++ (CppCon 2018)
Software Vulnerabilities in C and C++ (CppCon 2018)
MongoDB Europe 2016 - Debugging MongoDB Performance
MongoDB Europe 2016 - Debugging MongoDB Performance
Spring scala - Sneaking Scala into your corporation
Spring scala - Sneaking Scala into your corporation
Derrubando mitos em Python
- 1. DETONANDO MITOS EM PYTHON
- 3. “Existem alguns mitos no mundo do python...”
- 4. “...e nós vamos detoná-los hoje.”
- 5. “Tipo Regex”
- 6. r'<[^>]*>'
- 10. >>> backslash = '' >>> print(backslash) >>> raw_string = re.compile(r'') >>> raw_string.sub('1', backslash) '1'
- 11. >>> backslash = '' >>> print(backslash) >>> normal_string = re.compile('') >>> normal_string.sub('1', backslash) '1'
- 12. Para aprender mais http://docs.python.org/2/library/re.html http://docs.python.org/2/reference/lexical_analysis.html#literals
- 14. # -*- encoding: utf-8 -*-
- 16. Emacs # -*- coding: <encoding name> -*-
- 17. Vim # vim: set fileencoding=<encoding name> :
- 18. # coding: utf-8
- 22. Quebras de linhas onipresentes
- 23. a = 1 or 2
- 24. a = (1 or 2)
- 25. “Nem por Odin, suporta orientação a objetos”
- 26. >>> l = [1, 2, 3, 4] >>> len(l) 4
- 27. >>> l = [1, 2, 3, 4] >>> l.__len__() 4
- 28. >>> n + 6 7
- 29. >>> n = 1 >>> n.__add__(6) 7
- 30. Perguntas?