How to Practice Coding Problems Effectively Using Curated GitHub Repositories

Treat curated resource repositories as version-controlled learning ledgers by extracting platform links programmatically from the README, generating daily checklists, and tracking your progress in personal markdown files committed to your own fork.

The Best-websites-a-programmer-should-visit repository by sdmg15 provides a static, community-maintained index of learning resources that helps developers practice coding problems effectively. Unlike dynamic platforms, this repository stores all recommendations in a single README.md file, making it easy to parse, extend, and integrate into your personal learning workflow. By leveraging its simple Markdown architecture and Git-based versioning, you can build a repeatable, trackable system for improving your coding skills.

Understanding the Repository Architecture

The repository’s design prioritizes simplicity and accessibility. All data lives in the README.md file at the root, which serves as the single source of truth without requiring databases or server-side code.

Single-File Structure

According to the source code, the README.md organizes links under thematic ATX headings such as ## 👶 Coding practice for beginners and ## 🎤 Interview Preparation. These headings act as anchor points that you can link directly or extract programmatically using basic regex or Markdown parsers. Each entry follows the standard Markdown link format [FreeCodeCamp](https://www.freecodecamp.com), appearing in lines 13-33 and throughout the document.

Git-Based Versioning

Because the list is maintained via Git, the commit history provides a transparent timeline of when new learning resources were added. This same version control system can track your personal progress if you fork the repository and maintain your own branch, independent of the upstream master branch.

Step 1: Extract Practice Platforms Programmatically

To practice coding problems effectively, start by selecting appropriate platforms from the Coding practice for beginners section. Rather than browsing manually, use Python to extract the current list of resources directly from the raw Markdown file hosted on GitHub.

The following script downloads the canonical README.md, isolates the beginner section using regex, and prints each resource:

import requests, re

# Raw markdown of the README

url = ("https://raw.githubusercontent.com/sdmg15/"
       "Best-websites-a-programmer-should-visit/master/README.md")
md = requests.get(url).text

# Extract the “Coding practice for beginners” section

section = re.search(r"## 👶 Coding practice for beginners(.*?)(?:## |\Z)", md,

                    re.S).group(1)

# Find all markdown links in that section

links = re.findall(r"\[([^\]]+)\]\((https?://[^)]+)\)", section)

print("Beginner coding practice resources:")
for name, link in links:
    print(f"- {name}: {link}")

This extraction method allows you to build CLI tools that randomly select a daily practice site or integrate these resources into your own learning management scripts.

Step 2: Generate Structured Daily Checklists

Consistency is essential when you practice coding problems effectively. Use the repository’s Interview Preparation section to create a daily checklist that structures your study sessions and tracks completion.

The following Bash script fetches the README.md, extracts the interview preparation block using awk, and generates a DAILY.md checklist file:

#!/usr/bin/env bash

# Grab the “Interview Preparation” links and write a checklist

RAW="https://raw.githubusercontent.com/sdmg15/Best-websites-a-programmer-should-visit/master/README.md"
SECTION=$(curl -s "$RAW" | awk '/## 🎤 Interview Preparation/,/^## /')

echo "## Daily Interview‑Prep Checklist" > DAILY.md

while IFS= read -r line; do
    if [[ $line =~ \[([^]]+)\]\((https?://[^)]+)\) ]]; then
        name=${BASH_REMATCH[1]}
        url=${BASH_REMATCH[2]}
        echo "- [ ] $name ($url)" >> DAILY.md
    fi
done <<< "$SECTION"
cat DAILY.md

Commit this checklist to your fork after each session to maintain a chronological log of which resources you attempted, creating accountability in your practice routine.

Step 3: Track Progress with Version Control

To practice coding problems effectively over months or years, maintain a personal progress log using the same Git workflow that powers the repository. Create a PROGRESS.md file in your local fork to record milestones and solved problems.

# Clone the repo (once)

git clone https://github.com/sdmg15/Best-websites-a-programmer-should-visit.git
cd Best-websites-a-programmer-should-visit

# Create a progress file

cat <<EOF > PROGRESS.md

# My Coding Practice Log

## 2026‑03‑01

- Completed FreeCodeCamp “Responsive Web Design” certification
- Solved 10 problems on Exercism (Python)

## 2026‑03‑02

- Finished “JavaScript Algorithms and Data Structures” on freeCodeCamp
- Practiced 5 LeetCode easy problems
EOF

git add PROGRESS.md
git commit -m "Add personal practice log"

# Push to your own fork (do not push to upstream unless you are a maintainer)

This approach transforms the static resource list into a dynamic, version-controlled learning ledger that tracks your evolution from beginner tutorials to competitive programming challenges.

Step 4: Progress Through Difficulty Levels

The repository organizes resources by skill level, allowing you to graduate systematically. Start with platforms listed under Coding practice for beginners (such as FreeCodeCamp, Exercism, and CodeAbbey) to build fundamentals. Once comfortable, transition to the Interview Preparation section featuring LeetCode, InterviewBit, and Pramp for timed, high-pressure problem solving that simulates technical interview conditions.

Key Repository Files

While README.md contains the primary data, several auxiliary files support the repository’s integrity and validation:

• README.md: The central index containing all curated website links and thematic sections. This is the only runtime dependency.
• package.json: Declares a minimal Node environment for CI testing, though not required for core functionality.
• .travis.yml: CI configuration that validates Markdown syntax and link safety on each push.
• white_listed_sites.txt: Helper file used by the CI pipeline in .travis.yml to enforce URL safety standards.

Summary

To practice coding problems effectively using curated repositories:

• Extract resources programmatically from the README.md sections using Python or regex to build custom tooling and random selectors.
• Generate daily checklists from specific sections like Interview Preparation using shell scripts to structure consistent practice sessions.
• Maintain a PROGRESS.md file in your fork, committing updates after each study session to create a version-controlled learning history.
• Progress through sections sequentially, starting with beginner platforms and advancing to interview preparation sites as your skills improve.

Frequently Asked Questions

How do I extract specific sections from the README.md file?

Use regex patterns to match ATX-style headings and their content until the next heading. For example, the pattern r"## 👶 Coding practice for beginners(.*?)(?:## |\Z)" captures all content under that specific section, allowing you to parse links with additional regex or a Markdown parser library.

Can I contribute my own practice resources to the repository?

Yes, the repository accepts community contributions via pull requests. Since the architecture relies solely on README.md, you can add new links under the appropriate thematic heading following the existing Markdown format [Site Name](https://url.com). The CI pipeline configured in .travis.yml will validate your changes against the white_listed_sites.txt safety list.

What is the best way to track my daily coding practice using this repository?

Fork the repository to your own GitHub account, then create a personal PROGRESS.md file in the root directory. After each practice session, update this file with the problems you solved or certifications completed, commit the changes, and push to your fork. This creates a permanent, timestamped record of your learning journey using the same Git workflow that maintains the resource list.

How often should I switch from beginner resources to interview preparation?

Transition when you can consistently solve easy-level problems on beginner platforms like Exercism or CodeAbbey without assistance. The repository’s Interview Preparation section (containing LeetCode, Pramp, and InterviewBit) is designed for developers ready for timed, algorithmic challenges. Use your PROGRESS.md commit history to objectively measure when you have mastered the fundamentals.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}