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Which Programming Language Should I Learn First?

Which Programming Language Should I Learn First?

I’ve always wanted to learn a programming language, but have never had the time. If I ever did get a respite from my busy daily life, I’d use this infographic as a starting off point, and I’d suggest you do so too if you are looking at getting into coding.

To get an idea of what learning how to program a computer is like, imagine putting together a novel or academic book, or building a small motorboat with your bare hands and a basic set of instructions. Nether of which are easy tasks, and thus, it’s easy to see why so many shy away from learning the intricacies of the mathematical engines that drive our computers.

My advice would be to take it slow. While I haven’t learned a programming language to any respectable extent, I have taken courses about how they work, and am familiar with basic coding concepts. So, before you even choose a language to learn in the infographic by Carlcheo.com below, read up on the history of coding and how it works to make pieces of silicon perform calculations that can manipulate the pixels on your screen.

With that knowledge, you’ll be more than ready to slowly chip away at one of the programming languages below. Good luck. For any of you who took courses on how to code, or do it as a profession, feel free to share your experiences in the comments below!

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    Featured photo credit: Programming/ Rachel Johnson via flickr.com

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    Last Updated on December 18, 2020

    Can Technology have Biases Like Humans?

    Can Technology have Biases Like Humans?

    Technology has taken a vantage leap in providing solutions for man. Before now, technology used to appear complex and would require a great deal of expertise to handle solutions available. Today, we have technology applicable in the simplest human activities as smart products with intelligent algorithms powering them as they make error-free judgments and provide intelligent and analytic solutions.

    Does technology have all the answers?

    This article from Credit Suisse, tells us that technology does not have all the answers because it has been found to exhibit “similar biases,” as humans. No one can discredit the impact of technology, but it is not totally free of human input and this is the reason we experience these biases in many areas we have technology holding foot.

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    Creating technological solutions transparently

    This article suggests that the process of creating technological solutions be made transparent and subject to contribution from many people who would end up as users of the product – male, female, young, old, learned, unlearned and all other preferences as we have them. It also underscores the importance of having women on product development teams. This approach is not sure to eliminate all forms of bias, but it is a good way to start in order to appraise the full benefits of technology.

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    Technology as the connecting tool

    Technology so far has been a major connecting tool amongst us humans. It is used and appreciated by all regardless of race, language and sex. In order to keep it less subjective to these arguments about human biases. I believe we should gather opinions on products and solutions before making them available to the public. This could be done by gathering input from intended target users and receiving feedback across the stages of production.

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    “Recognizing the problem is a start…success will depend on inclusive technologies that meet this vast untapped market.” This cannot be more apt especially at a time when we look up to technology for solutions. We should not muzzle our progress with technology by battling algorithm bias. The first way to avoid this battle is by reading this article here.

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