<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>drops on Ciência Programada</title>
    <link>https://cienciaprogramada.com/tags/drops/</link>
    <description>Recent content in drops on Ciência Programada</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en</language>
    <managingEditor>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</managingEditor>
    <webMaster>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</webMaster>
    <copyright>© 2026 Francisco Bustamante</copyright>
    <lastBuildDate>Fri, 15 Apr 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://cienciaprogramada.com/tags/drops/index.xml" rel="self" type="application/rss+xml" />
    
    <item>
      <title>The max Function in Python</title>
      <link>https://cienciaprogramada.com/2022/04/max-function-in-python/</link>
      <pubDate>Fri, 15 Apr 2022 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2022/04/max-function-in-python/</guid>
      <description>Did you know that Python&amp;rsquo;s max function has many options and ways of use that few people know about? In this post we will see different ways of using the max function in Python.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2022/04/max-function-in-python/featured_0040.png" />
    </item>
    
    <item>
      <title>String formatting in Python</title>
      <link>https://cienciaprogramada.com/2022/03/string-formatting-python/</link>
      <pubDate>Thu, 31 Mar 2022 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2022/03/string-formatting-python/</guid>
      <description>We spend a considerable amount of time dealing with strings, so it is important to know how to present them the way we want. That is what we will see in this article, with plenty of examples.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2022/03/string-formatting-python/featured_0039.png" />
    </item>
    
    <item>
      <title>yield from - What Is It? Understanding Generators in Python</title>
      <link>https://cienciaprogramada.com/2021/09/generators-in-python-yield-from/</link>
      <pubDate>Thu, 16 Sep 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/09/generators-in-python-yield-from/</guid>
      <description>Have you ever seen the term “yield from” in some Python code and wondered what it was? In this article we will dive even deeper into generators and understand, with examples, what “yield from” means and how we can use it to make our code even more efficient.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/09/generators-in-python-yield-from/featured_0024.jpg" />
    </item>
    
    <item>
      <title>Infinite Sequences in Python - Fibonacci Like You Have Never Seen</title>
      <link>https://cienciaprogramada.com/2021/09/infinite-sequences-python-fibonacci/</link>
      <pubDate>Thu, 09 Sep 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/09/infinite-sequences-python-fibonacci/</guid>
      <description>Did you know you can create an infinite sequence without running into memory problems and still consume that sequence however you like? Today we will look at a specific function from the itertools module, islice, which is excellent for our purpose. We will learn to use it with the example of the Fibonacci sequence.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/09/infinite-sequences-python-fibonacci/featured_0023.jpg" />
    </item>
    
    <item>
      <title>The any and all Functions in Python</title>
      <link>https://cienciaprogramada.com/2021/09/any-and-all-functions-in-python/</link>
      <pubDate>Thu, 02 Sep 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/09/any-and-all-functions-in-python/</guid>
      <description>In this article, we will see how the all and any functions, available in a standard installation of Python, work. We will also see what each of them is useful for and what to watch out for when using them, based on a complexity analysis.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/09/any-and-all-functions-in-python/featured_0022.jpg" />
    </item>
    
    <item>
      <title>Generators in Python - Code Up to 1000 Times Faster</title>
      <link>https://cienciaprogramada.com/2021/08/python-generators-fast-code/</link>
      <pubDate>Mon, 30 Aug 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/08/python-generators-fast-code/</guid>
      <description>Do you know the difference between a “normal” function and a generator function in Python? What is the difference between the return of a usual function and the yield of a generator? In this article we answer these questions and dig deeper into some aspects of the language. We will see how generators in Python can make your code up to 1000 times faster.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/08/python-generators-fast-code/featured_0021.jpg" />
    </item>
    
    <item>
      <title>Iterators and iterables in Python</title>
      <link>https://cienciaprogramada.com/2021/08/iterators-and-iterables-in-python/</link>
      <pubDate>Mon, 23 Aug 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/08/iterators-and-iterables-in-python/</guid>
      <description>Do you know what an iterable is? And an iterator? How do you recognize these structures in Python? Answering these questions is the goal of this article.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/08/iterators-and-iterables-in-python/featured_0020.jpg" />
    </item>
    
    <item>
      <title>Short-Circuit Evaluation in Python - Boolean Operators</title>
      <link>https://cienciaprogramada.com/2021/08/short-circuit-in-python/</link>
      <pubDate>Mon, 16 Aug 2021 00:00:00 +0000</pubDate>
      <author>contato[@]cienciaprogramada.com.br (Francisco Bustamante)</author>
      <guid>https://cienciaprogramada.com/2021/08/short-circuit-in-python/</guid>
      <description>The and and or operators are short-circuit operators, meaning that the second operand is only evaluated if the result cannot be determined from the value of the first operand alone. Confusing? Let&amp;rsquo;s look at some examples in this article.</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://cienciaprogramada.com/2021/08/short-circuit-in-python/featured_0019.jpg" />
    </item>
    
  </channel>
</rss>
