My Site

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

Click on the Slides button above to view the built-in slides feature.

Slides can be added in a few ways:

Create slides using Hugo Blox Builder’s Slides feature and link using slides parameter in the front matter of the talk file
Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file
Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.

Further event details, including page elements such as image galleries, can be added to the body of this page.

My Week

Wed, 30 Apr 2025 00:00:00 +0000

📚 Weekly Summary

The week was productive and varied. Here’s what I managed to do:

🧪 Completed a lab project on modeling — had to wrestle with equations, but the result turned out surprisingly good.
💻 Practiced writing multithreaded code in C++ — started to grasp thread synchronization more clearly.
📊 Learned the basics of data visualization in Python using Seaborn — the graphs are now much more insightful.
📝 Drafted the structure for my term paper — ready to move on to implementation with confidence.
🎓 Attended a student seminar — listened to an insightful talk on distributed computing.

I’ve gained more knowledge — and even more motivation. A week well spent!

Why It's Important to Study Algorithms

Tue, 29 Apr 2025 00:00:00 +0000

🤖 Why It’s Important to Study Algorithms

Algorithms are not just the “scary” part of a computer science course. They are the foundation of effective programming. Without them, you can write code — but not fast, scalable, and reliable code.

🧩 What Do Algorithms Give You?

Optimization
A good algorithm can speed up task execution tenfold. Why wait 10 seconds when you can get the answer in 0.1?
Versatility
Understanding algorithms helps you solve problems in many domains — from graph processing to image analysis.
Career Growth
Algorithms are the core of technical interviews at major tech companies. Theory + practice = confidence during interviews.

📚 What Should You Learn?

Sorting and searching algorithms
Recursion and dynamic programming
Graph algorithms (DFS, BFS, Dijkstra, A*)
Data structures: lists, trees, hash tables, heaps

🚀 Conclusion

Algorithms are the language computers “think” in. The better you understand them, the stronger you become as a developer. It’s not about memorization — it’s about thinking and structured problem-solving.

Learn them, practice them, visualize them — and your code will dramatically improve!

Completing the Introduction to Linux Course

Wed, 23 Apr 2025 00:00:00 +0000

🐧 Linux Course: From Beginner to Confident User

This week I completed a course on the fundamentals of the Linux operating system. Here’s what I learned and my overall impressions.

🚀 Where Did It Start?

The course was designed for absolute beginners, and that was clear from the start. We began with the installation of Linux, and no prior setup was needed — everything was explained step by step, clearly and accessibly.

🖥 Graphical Interface: Nothing to Fear

The first introduction was through the graphical interface — quite similar to the familiar Windows or macOS environments. The key was learning not to fear the new system.

💻 Command Line: From Skepticism to Admiration

At first, using the terminal felt difficult. But gradually I learned:

how to navigate files,
how to launch programs,
how to use powerful commands,
and why the CLI isn’t scary — it’s efficient and powerful.

🌐 Working with a Remote Server

The next part focused on connecting to remote servers. We learned how to:

connect via SSH,
run programs remotely,
copy output back to our local machines.

🛠 Advanced Topics

The final section of the course covered more advanced concepts:

writing bash scripts,
mastering the vim text editor,
automating everyday tasks.

📋 Practice and Knowledge Checks

Throughout the course, there were plenty of tests and hands-on exercises. I especially enjoyed the bash scripting tasks — great for boosting logical thinking and attention to detail.

🎓 Certificate

The course is complete, and I’ve received my certificate of completion 🎉

Highly recommended for anyone who wants to feel confident in Linux — whether you’re a beginner developer or just a curious learner.

My Week

Fri, 11 Apr 2025 00:00:00 +0000

🗓 What Got Done This Week

This week was productive — I really felt how important it is to balance theory and practice.

Finished a graph visualization project in Python using the NetworkX library. Surprisingly flexible, especially when combined with Matplotlib.
Learned core Git operations at the command line level. Creating branches, resolving conflicts, pull requests — everything makes much more sense now.
Within the algorithms course, explored optimization methods on graphs. Seeing Dijkstra’s algorithm applied to real problems makes it feel far less abstract.
Started gathering materials for my mini-research project on “parallel computing and its applications in big data processing.”

In short: I’ve gained more knowledge — and even more questions. And that’s probably the best outcome.

Scientific Programming

Fri, 11 Apr 2025 00:00:00 +0000

🧠 Scientific Programming: Languages Worth Knowing

Scientific programming isn’t about flashy UIs or design. It’s about computation, optimization, data processing, and scalability. From a computer science perspective, here are several languages that truly stand out.

🐍 Python — The Undisputed Leader

Python has become the de facto standard in the scientific world. It’s easy to use, readable, and incredibly extensible. Libraries like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and PyTorch make it a universal tool for data analysis, machine learning, and mathematical modeling. Plus, it has a huge user base and excellent documentation.

🧮 MATLAB — A Great Tool with Some Caveats

MATLAB is still widely used in engineering and academia, especially in universities. Its strengths lie in matrix operations and built-in functions. The downside is its closed ecosystem and licensing model. That said, it’s a solid option for beginners and for data visualization.

⚙️ C/C++ — When Performance Matters

If you need raw performance, C or C++ is the way to go. Whether it’s numerical computing, real-time simulations, or GPU-based tasks — these are practically must-haves. The learning curve is steeper, but you gain insight into what’s happening “close to the metal.”

🚀 Julia — Fresh and Promising

Julia positions itself as a fast language for scientific computing. And it lives up to the claim: clean syntax, performance close to C, and built-in support for parallelism. However, the community is still small and some libraries are underdeveloped or missing.

🔎 Conclusion

If you’re in computer science and plan to work with data, modeling, or research tasks — here’s my advice:

Python — for getting started and handling most tasks.
C++ — to understand low-level optimization.
Julia or Rust — if you want something modern and unconventional.

Being able to choose the right language for the task is a skill that always pays off. Scientific programming isn’t about sticking to one “favorite” language — it’s about adaptability and the smart use of available tools.

Scientist’s Website with Hugo Academic

Fri, 11 Apr 2025 00:00:00 +0000

Scientist’s Website with Hugo Academic: When Science Meets Technology

Why Does Every Researcher Need a Website Today?

The internet has become the main channel of scientific communication. Presentations, papers, projects, courses — people search for and find all of this online. In this context, a personal website is no longer a luxury — it’s a part of your academic identity, almost like journal publications or conference participation.

And this is where Hugo Academic comes into play — not just a theme, but a whole ecosystem for building a stylish and functional academic website.

What Is Hugo Academic and Why Is It Convenient?

Hugo Academic is built on the Hugo static site generator. This means your website will be fast, reliable, and won’t require servers or databases. All you need are text files and a bit of structure. The result is:

A modern, responsive, and professional-looking website.
A flexible structure — from publications and projects to courses and CVs.
Easy updates — everything is edited as plain text.

Plus, the theme is actively maintained and developed, so you’re not left alone with the documentation.

How Can You Use the Website?

Hugo Academic is tailored to the real needs of researchers. Here’s how you can customize it:

Publications: Format journal articles, books, and preprints, and add source links or PDFs.
Research: Share project descriptions, methodologies, and results.
Teaching: Create course pages, upload schedules, materials, and assignments.
News and Notes: Post about conferences, share insights, or write scientific blog-style reviews.
CV: Keep your entire professional development in one place, always up to date.

In Summary

A website powered by Hugo Academic is a way to talk about your research informally, accessibly, and professionally. It’s not just a portfolio — it’s a tool for self-identification within the academic community. The simplicity of the technology combines with a wealth of features, and the final result looks solid and modern.

A website that works for you — that’s what Hugo Academic is all about.

How to Create a Scientific Presentation

Sun, 30 Mar 2025 00:00:00 +0000

🧑‍💻 Guide: How to Create a Proper Scientific Presentation (Not Just a Bunch of Slides)

If you need to prepare a scientific presentation — for a class, a project defense, or a conference — simply pasting text from your report into PowerPoint won’t cut it anymore.

Here’s a basic but effective structure that will help you stay within time limits and clearly deliver your message to the audience.

🧱 1. Presentation Structure

🔹 Slide 1 — Title Slide

Project title (the shorter and clearer — the better).
Full name, field of study, supervisor (if needed).
Date/event (e.g., “IT Department Conference,” “Project Pre-Defense”).

🔹 Slide 2 — Relevance

Why is the topic important? Where is it applied? What problems does it solve? Just one slide — ideally two short paragraphs + an illustration or diagram.

🔹 Slide 3 — Goal and Objectives

Be clear: “The goal is to develop…”
And the tasks: “1. Research…, 2. Implement…, 3. Test…”

🔹 Slides 4–6 — Main Part

Briefly explain methods, algorithms, or system architecture.
You can insert a diagram or code snippet (don’t overload with text).
Show what you did, not just what you read about.

🔹 Slides 7–8 — Results

Tables, graphs, screenshots.
Brief analysis: what worked, what’s effective.

🔹 Final Slide — Conclusion

What was achieved?
What are the limitations?
What could be improved?

🛠 2. Design: Minimalism Wins

Color palette — 2–3 colors, don’t overdo it.
Font — easy to read (at least 18 pt).
Graphics — diagrams and visuals over plain text.
Don’t fear “white space” — less text, more clarity.

💡 3. Content ≠ Copy-Paste

Don’t paste paragraphs from your report. Adapt them into “speaking points” — short and to the point.
One slide = one idea. Keep it lean.
Visualize data: charts are better than tables.

🗣 4. Presentation Tips

Rehearse at least once. Use a timer.
Speak in your own words — don’t read off the screen.
Know what’s on every slide and why it’s there.

✅ Conclusion

A good scientific presentation clearly shows what you did, why, and how it works. Everything else — style, visuals, special effects — is secondary.

Start with logic, then move on to design. It always works.

My Week

Sun, 30 Mar 2025 00:00:00 +0000

📍 Weekly Summary — Brief and to the Point

The week was quite intense, but not overwhelming. Here are the main highlights:

🔄 We explored sorting algorithms — compared efficiency, calculated complexity, and tested them on real arrays.
⚙️ In our OOP practice, we wrote our own classes with operator overloading — finally starting to see why it matters beyond textbooks.
💬 Got our first course project topics — time to start defining the tasks and thinking about the architecture.
🧠 Took part in a mini-discussion on neural networks — not too deep, but it definitely sparked more interest.

We’re gradually reaching the point where there’s enough knowledge to make conscious decisions in code. That feels good.

Markup Languages Introduction to LaTeX

Tue, 18 Mar 2025 00:00:00 +0000

Markup Languages: Introduction to LaTeX

What Are Markup Languages?

Markup languages are designed to structure and format text. They are used in web development, technical documentation, academic writing, and even everyday note-taking.

Some popular markup languages include:

HTML — the foundation of web pages, enabling the creation of structured documents with multimedia content.
Markdown — a convenient and lightweight language for writing documentation, blogs, and notes.
LaTeX — a powerful typesetting system especially popular among scientists and engineers.

What Makes LaTeX Special?

LaTeX is more than just a markup language — it’s a full document preparation system. Unlike traditional text editors, it follows a declarative approach: the author defines the document’s structure, and LaTeX takes care of the formatting.

Key advantages of LaTeX:

Perfect typography. Documents look professional with minimal effort.
Advanced mathematical formula support. This makes it the standard in the scientific community.
Flexibility and modularity. You can use packages to extend functionality.
Automated formatting. Headings, lists, bibliographies, references, and tables of contents are generated automatically.

Where Is LaTeX Used?

LaTeX is widely used in scientific and technical fields:

For writing theses and term papers.
In academic articles and books.
In technical documentation and presentations.

Although LaTeX has a learning curve, its capabilities make it an indispensable tool when precision and quality typesetting matter.

My Week

Tue, 18 Mar 2025 00:00:00 +0000

Academic Week Summary

Another week is behind us! We worked through algorithms and data structures, delved into Python fundamentals, and got familiar with the principles of operating systems.

The topic that impressed me most was multithreading — turns out parallel computing is used almost everywhere. Now I really want to try it in practice.

How’s your studying going? Was there anything particularly challenging or exciting? Feel free to share!

My Week

Fri, 07 Mar 2025 00:00:00 +0000

📅 Weekly Summary

This week was eventful! Here are a few key highlights:

🎓 Got the hang of recursive algorithms – turned out easier than it seemed at first.
🔬 Broke the experiment during the physics lab, but at least we learned what not to do.
🔄 Finally understood how closures work in programming. Now the code looks cleaner!
📖 Started reading a book on programming paradigms – it’s mind-bending, but fascinating.
🏃‍♂️ Broke out of the “study-home” loop and went for a walk – nature really helps reboot.

How was your week? Share in the comments! 😊

Version Control

Fri, 07 Mar 2025 00:00:00 +0000

🔄 Version Control. Git

What Is Version Control?

Version control is the process of tracking and managing changes to code. It’s especially important for teamwork, when multiple developers are making edits to the same project.

Why is it important?

✅ Allows you to roll back to a previous version of the code
✅ Helps track changes and their authors
✅ Makes collaborative development easier

Git – The Main Version Control Tool

Git is the most popular distributed version control system (VCS). It’s used by developers around the world and powers platforms like GitHub, GitLab, and Bitbucket.

🔹 Core Git Concepts

Local and Remote Repositories
- Git stores all changes in a local repository on your machine.
- The repository can be synchronized with a remote server, such as GitHub.
Commits and Change History
- A commit is a saved snapshot of changes in the project history.
- Each commit has a unique hash (identifier) to easily track edits.
Branching and Merging
- Git allows you to create branches to work on new features without breaking the main code.
- Once finished, the branch can be merged into the main one.
Conflict Resolution
- If two developers modify the same file, a conflict may occur.
- Git allows you to manually choose which changes to keep.
Team Collaboration
- Developers make changes in their own branches.
- After review, changes are merged into the main branch.
- This prevents chaos and improves quality control.

Why Is Git Better Than Just Copying Files?

Storage Method	Version Control	Rollback Capability	Team Collaboration
Simple file copying	❌ No	❌ No	❌ No
Git	✅ Yes	✅ Yes	✅ Yes

Conclusion

Git is a powerful tool for managing code versions. If you’re developing software, learning Git is a must-have skill!

🚀 How do you use Git? Share in the comments!

Projects

Sun, 19 May 2024 00:00:00 +0000

Experience

Tue, 24 Oct 2023 00:00:00 +0000

Learn JavaScript

Tue, 24 Oct 2023 00:00:00 +0000

Hugo Blox Builder is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

My Site

Example Talk

My Week

📚 Weekly Summary

Why It's Important to Study Algorithms

🤖 Why It’s Important to Study Algorithms

🧩 What Do Algorithms Give You?

📚 What Should You Learn?

🚀 Conclusion

Completing the Introduction to Linux Course

🐧 Linux Course: From Beginner to Confident User

🚀 Where Did It Start?

🖥 Graphical Interface: Nothing to Fear

💻 Command Line: From Skepticism to Admiration

🌐 Working with a Remote Server

🛠 Advanced Topics

📋 Practice and Knowledge Checks

🎓 Certificate

My Week

🗓 What Got Done This Week

Scientific Programming

🧠 Scientific Programming: Languages Worth Knowing

🐍 Python — The Undisputed Leader

🧮 MATLAB — A Great Tool with Some Caveats

⚙️ C/C++ — When Performance Matters

🚀 Julia — Fresh and Promising

🔎 Conclusion

Scientist’s Website with Hugo Academic

Scientist’s Website with Hugo Academic: When Science Meets Technology

Why Does Every Researcher Need a Website Today?

What Is Hugo Academic and Why Is It Convenient?

How Can You Use the Website?

In Summary

How to Create a Scientific Presentation

🧑‍💻 Guide: How to Create a Proper Scientific Presentation (Not Just a Bunch of Slides)

🧱 1. Presentation Structure

🔹 Slide 1 — Title Slide

🔹 Slide 2 — Relevance

🔹 Slide 3 — Goal and Objectives

🔹 Slides 4–6 — Main Part

🔹 Slides 7–8 — Results

🔹 Final Slide — Conclusion

🛠 2. Design: Minimalism Wins

💡 3. Content ≠ Copy-Paste

🗣 4. Presentation Tips

✅ Conclusion

My Week

📍 Weekly Summary — Brief and to the Point

Markup Languages Introduction to LaTeX

Markup Languages: Introduction to LaTeX

What Are Markup Languages?

What Makes LaTeX Special?

Where Is LaTeX Used?

My Week

Academic Week Summary

My Week

📅 Weekly Summary

Version Control

🔄 Version Control. Git

What Is Version Control?

Git – The Main Version Control Tool

🔹 Core Git Concepts

Why Is Git Better Than Just Copying Files?

Conclusion

Projects

Experience

Learn JavaScript

Video

Podcast

Test students

Math

Code

Inline Images

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