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    <title>DEV Community: Carla Loredo</title>
    <description>The latest articles on DEV Community by Carla Loredo (@carlaldanie11).</description>
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      <title>Learning Python my first step to be a Data Scientist in the future</title>
      <dc:creator>Carla Loredo</dc:creator>
      <pubDate>Mon, 13 Mar 2023 12:05:49 +0000</pubDate>
      <link>https://dev.to/carlaldanie11/learning-python-my-first-step-to-be-a-data-scientist-in-the-future-1im8</link>
      <guid>https://dev.to/carlaldanie11/learning-python-my-first-step-to-be-a-data-scientist-in-the-future-1im8</guid>
      <description>&lt;p&gt;&lt;em&gt;Learning the Python programming language is a different experience and a challenge for me because I had very little programming knowledge. At first everything was unknown but little by little as I progressed through the lessons of the hundred days of code: The Complete Python Pro Boot camp for 2023, which is very good, I began to realize that programming is not that difficult.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;At the basic level of Python I learned to write programming codes, understand how it works and also to debug code and basic programming concepts in the Python language.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;According to the knowledge that I acquired in the Python course that I mentioned:&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;- Procedural Programming is the programming in which procedures or functions are established that do specific things.&lt;/em&gt; &lt;/p&gt;

&lt;p&gt;&lt;em&gt;- Object-oriented programming tries to model real-life objects. Objects have things that are attributes that are modeled with variables, and objects can do things called methods that are modeled with functions. With object-oriented programming, relationships in code are simplified. It seems to me that it allows a more practical application to solve real-life problems.&lt;/em&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;I think that Python is a very useful tool for data analysis that I will apply in the future as a data scientist.&lt;/em&gt;&lt;/p&gt;
&lt;/blockquote&gt;

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      <title>DATA SCIENCE AND ENVIRONMENTAL ENGINEERING</title>
      <dc:creator>Carla Loredo</dc:creator>
      <pubDate>Sun, 19 Feb 2023 15:44:59 +0000</pubDate>
      <link>https://dev.to/carlaldanie11/-data-science-and-environmental-engineering-54ao</link>
      <guid>https://dev.to/carlaldanie11/-data-science-and-environmental-engineering-54ao</guid>
      <description>&lt;h5&gt;
  
  
  PRESENTATION
&lt;/h5&gt;

&lt;p&gt;&lt;em&gt;My name is Carla Daniela, I am an environmental engineer with a master's degree in Integrated Quality, Environment and Safety Management Systems.  I currently work as an environmental and occupational health and safety consultant, in the future I would like to be a data scientist.  I am a person who likes to obtain what is proposed. I am sure that with perseverance, determination and a good organization of my time I will become a data scientist because I would like to contribute my knowledge to caring for the environment in a more significant way.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;I studied environmental engineering because since school I liked subjects related to biological sciences, I want to be a data scientist because I believe that this way I will get to work in an international environmental organization and I will be able to significantly help solve environmental problems.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Environmental engineering is a field in engineering where professionals focus on combining environmental science methods with engineering principles to develop and implement better infrastructure, technology and industrial operations that reduce the risk of environmental contamination and pollution.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Data science has a key role to play in different environmental problems.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;From machine learning to data visualization, data science techniques are used to study the effects of climate change, land use and restoration, food systems, patterns of change in disease vector-borne and other climate-related problems.  Data science is a powerful tool to help understand the uncertainties and ambiguities inherent in data, to identify interventions, strategies and solutions that generate co-benefits for humanity and the environment.&lt;/p&gt;

&lt;p&gt;In the future I would like to work in an international organization as a data scientist solving health and safety and environmental problems.  Thus helping to avoid or mitigate the contamination of the planet and the possible adverse effects on living beings&lt;/p&gt;

&lt;p&gt;In this blog I will share knowledge about data science, environment and security.&lt;/p&gt;

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