Anton S. Kosinov Keep clear
Table of Contents
αbout Me
My innate, boundless curiosity has shaped me into an avid reader and an insatiable seeker of knowledge. Initially, this was simply an unconscious thirst, driven by a desire to know everything. However, I soon realized that it was impossible to cover the infinite expanse of knowledge. Fifteen years after graduating from university, I intentionally embarked on a conscious journey to expand my personal knowledge and discovered the crucial importance of Meta-Learning — the skill that allows one to study any subject more effectively while still enjoying the process.
After acquiring these skills and learning how to learn, a new challenge naturally emerged:
What should I know to be happy?
Thus, I sought a balance, a hack that would enable me to live a fulfilling and prosperous life. I decided to study Data Science, a field that inherently enhances one's ability to organize and process information. To further this goal, Model Thinking became an invaluable tool, significantly boosting my capacity for rapid knowledge acquisition.
In this pursuit, Python emerged as my primary tool for handling vast
amounts of data. Emacs proved to be a powerful ally in managing
Python, Bash, my computer, and ultimately, myself, all at
once. Crafting a systematic approach to learning and introspection
became a mammoth task, one that demanded both time and patience.
Over several years, I committed myself to mastering these powerful tools, combining intense periods of focused study with deliberate and thoughtful practice. Today, I am proud of the profound transformation I have undergone and feel a compelling drive to share my knowledge and offer support to others on their own journeys of growth and discovery.
βrief overview
I expertly navigate Python within Emacs, a combination crafted for
true connoisseurs of programming. With over 30 years of experience in
applied programming and more than 10 years of proficiency in Literate
Programming with Python, I proudly define myself as an expert in
this language. It feels as if I have truly become a programming adept!
Γist
Meta-Declarative Programming
The Meta-Declarative Paradigm of Programming was initially introduced in September 2024 by Russian-Ukrainian-Irish computer scientist Anton Sergio Kosinov. It combines natural language for task description with programming language for test suite definition. This innovative paradigm enables large language models to write complex computer programs.
My attention was drawn in early 2024 to an announcement by OpenAI regarding their capability to write programs. I became deeply engaged with the Meta-Declarative Paradigm of Programming, recognizing its potential to automate many tedious routine tasks and significantly reduce the effort and attention required from software developers. In September of that year, I published the results of my experiments and introduced the term Meta-Declarative Paradigm of Programming. While I did not invent the concept, I articulated it clearly enough for it to be accessible to a wide audience.
This paradigm facilitates developers in gaining a deeper understanding of the core principles that underpin software design and implementation. By offering insights into the declarative nature of programming, it encourages developers to engage with code more thoughtfully, thereby refining their problem-solving strategies.
Due to its reliance on natural language, the Meta-Declarative Paradigm fosters a culture of reflection and abstraction. This can enhance collaboration and spur innovation in software development. My goal is to empower developers through this paradigm to create more effective, efficient, and maintainable code, ultimately transforming the landscape of software engineering.
Linux
I installed my first Linux distribution, RHEL4, from a CD that I serendipitously bought at a flea market in 2007. This experience was an acute and palpable sensation, marking my liberation from proprietary operating systems. Since then, I have explored various distributions, including Ubuntu, Debian, CentOS, AltLinux, Gentoo, DamnSmallLinux, Fedora, and PuppyLinux. I even create a bootable USB stick to ran the i386 version of Porteus, a portable Linux distribution.
Naturally, transitioning to cloud infrastructure was seamless for me, beginning with my utilization of Amazon Web Services (AWS) and EC2 in 2011.
Currently, I am using Debian Bookworm as it strikes an optimal balance between resilience and flexibility, allowing me to efficiently handle a variety of tasks while ensuring system stability and security.
Emacs
My first encounter with Emacs was in 2011, and at that time, my lack of experience made it seem strange and complex, which initially repelled me. However, after gaining considerable experience with various Integrated Development Environments (IDEs), a clear realization struck me:
All these commercial IDEs primarily rely on the mouse to navigate and manipulate code, which typically has only two buttons. In contrast, Emacs harnesses the power of the keyboard, featuring at least 104 keys.
The advantages of this approach are evident: for a touch typist like myself (a skill I have mastered since 2008), it is far more convenient to use a keyboard for routine tasks in software development. With its extensive array of keys, Emacs allows your fingers to memorize shortcuts and commands, enabling a more efficient and fluid workflow.
Python
My first encounter with a Python code snippet occurred around 2010, and my initial impression was utterly astounding and captivating:
"It was like finally meeting a long-known, yet occasionally forgotten, version of an algorithmic language that could comprehend your intentions on the fly."
Everything in Python felt remarkably familiar to me, amplified a hundredfold by an unnamed magician's unfathomable brilliance. The core concepts were meticulously implemented, offering an elegant and intuitive approach to harnessing the power of each string. What was once pure rapture has transformed over the past 15 years into an enduring source of joy and inspiration.
Python is the flexible and powerful tool I had always dreamed of possessing to command machines—everything I envisioned is already embedded within its capabilities.
Literate Programming
In my approach to programming, I embrace the principles of literate
programming through the use of Emacs and its powerful Babel
capabilities. This methodology allows me to write documents that are
both human-readable and executable, explicitly demonstrating how the
code works in a seamless narrative.
By interweaving documentation with code, I strive to create a clear
and comprehensive explanation of my thought process and design
decisions. With Babel, I can embed code snippets directly within my
documents, ensuring that the implementations are not only functional
but also accompanied by detailed comments and explanations. This
technique fosters a deeper understanding of the code and makes it
accessible to others, facilitating collaboration and knowledge
sharing.
Δesired role
- Team synergy is more than just a sum of knowledge; our goal should be to harness its power to achieve a greater outcome:
\(\displaystyle\sum_{n=1}^{team}\sum_{k=1}^{skill}\Rightarrow\prod_{n=1}^{team}\sum_{k=1}^{skill}\)
- In other words, the desired outcome should be a multiplication of knowledge — creating a sustainable state of continuous intellectual advancement for each team member.
- I envision myself as part of a team of professionals with complementary skills, working collaboratively to achieve common goals.
- At this stage in my professional growth, I am eager for knowledge exchange. If you know something fascinating and are willing to share it, I would adore the opportunity to learn from you!
- I aspire to be a catalyst within the team—an accelerator and propeller of ideas.
μotto
Synergy → the interaction or cooperation of two or more organizations, substances, or other agents to produce a combined effect greater than the sum of their separate effects:
\(\displaystyle\sum_{n=1}^{team}\sum_{k=1}^{skill}\Rightarrow\prod_{n=1}^{team}\sum_{k=1}^{skill}\)
Σkills overview
Λife long learner
with Double Loop Learning approach in my disposal at least 25 years. My Library
ξmacs
dressed with ELPA/MELPA packages galore
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