Silly Techy
Teaching technology-related concepts, especially in programming and data science.
Silly Techy, a technology-focused blog and tutorial hub, particularly emphasizing topics like Python programming, data science, machine learning, and related tech skills. It provides a range of resources, including introductory guides, coding tips, and practical examples. The site caters to both beginners and those looking to refine their skills in these areas.
WHAT I CONTRIBUTED
Long story short...
Danish Xavier asked me to design his website to make it eye-catching, easy to read, and user-friendly, and to keep the design simple. He will be the one who deals with the content of the site.
This is a no-code website developed with WordPress and Elementor (plugin). Also, this was my first time working with a no-code website.
Designing a no-code website with Elementor was not that easy for me, as it provides hundreds of options, which makes it not so beginner-friendly (from my experience).
After days of using this tool, I finally figured out how to use it properly. It was all about creating a template design. In addition, I handled the SEO of this site.
WHO ARE “WE”?
• Benet Paul Benny (me)
• Danish Xavier (Senior AI Engineer, IQVIA)
WHAT WE FOCUSED
• Beginner-Friendly Content: Simplifies complex programming concepts, making it accessible for individuals with little to no prior experience.
• Practical Learning: The tutorials emphasize practical applications of coding and data science concepts, helping users apply their knowledge in real-world scenarios.
• User-Friendly Layout: Have a clean and minimalistic design, making navigation intuitive for visitors.
• Hands-On Examples: Code snippets and examples provided in the content allow learners to practice directly, reinforcing understanding.
• Approachable Tone: Written in an easy-to-understand and engaging style, reducing intimidation for beginners.
If you’re exploring programming, data analysis, or machine learning, this site could be a valuable starting point for building foundational knowledge.