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Top 10 Collections of Cheat Sheets on GitHub

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Top 10 Collections of Cheat Sheets on GitHubTop 10 Collections of Cheat Sheets on GitHub
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Introduction

 
GitHub is much more than just a platform for sharing code or hosting open-source projects. It is also a treasure trove for learning, mastering new skills, and finding quick-reference resources like cheat sheets. Whether you are a developer, data scientist, or just someone eager to learn, GitHub offers a wealth of cheat sheet repositories that can help you boost your productivity.

In this blog, we will review some of the most popular and comprehensive cheat sheet collections available on GitHub. These repositories cover a wide range of topics, including Docker commands, mathematics, Python, machine learning, data science, data visualization, CLI commands, and much more.

 

Cheat Sheet Collections on GitHub

 

// 1. cheat.sh: The Only Cheat Sheet You Need

Link: chubin/cheat.sh

Cheat.sh is a unified command-line and web interface that provides access to community-driven cheat sheets on programming, DevOps, and more. It is a practical way to access cheat sheets while working on projects. With a simple CURL command, you can search for commands in any programming language.

 

// 2. Awesome Cheatsheets: Quick References for Every Developer

Link: LeCoupa/awesome-cheatsheets

A comprehensive collection of cheatsheets for popular programming languages, frameworks, and development tools. Everything you need to know is organized into single files for quick reference, making it an essential resource for developers at all skill levels. It includes cheat sheets for frontend and backend languages, databases, as well as tools for development and deployment.

 

// 3. Docker Cheat Sheet: Essential Docker Commands and Tips

Link: wsargent/docker-cheat-sheet

This repository provides a convenient cheat sheet for Docker, highlighting the most important commands, tips, and best practices for containerization and DevOps workflows. It is a simple cheat sheet created using Markdown, formatted as a README file so that you can view it as a webpage. It includes various examples and code snippets for easy reference.

 

// 4. Math as Code: Mathematical Notation for Developers

Link: Experience-Monks/math-as-code

A unique cheat sheet that translates mathematical notation into code, making it easier for developers to understand and implement mathematical concepts in their projects.

 

// 5. Cheatsheets-AI: Machine Learning & Deep Learning Essentials

Link: kailashahirwar/cheatsheets-ai

A collection of essential cheat sheets for deep learning and machine learning researchers. Perfect for quick reference on algorithms, frameworks, and concepts. Although it’s a bit old, it was quite popular during the peak of deep learning’s hype.

 

// 6. Python Cheatsheet: Comprehensive Python Reference

Link: gto76/python-cheatsheet

A markdown-based Python cheatsheet covering syntax, data structures, libraries, and common coding patterns. It is great for both beginners and experienced Pythonistas. This repository is one of the most starred on GitHub for cheat sheets.

 

// 7. Data Science Cheatsheets: Rule the World of Data

Link: FavioVazquez/ds-cheatsheets

A comprehensive list of data science cheat sheets, including statistics, machine learning, and data visualization. Ideal for students, professionals, and anyone in the data science field. It also includes cheat sheets for Python, R, big data, and SQL.

 

// 8. Matplotlib Cheat Sheets: Official Visualization Reference

Link: matplotlib/cheatsheets

The official Matplotlib cheat sheets serve as quick reference guides for creating plots and visualizations in Python, making it easier to master data visualization. These resources are particularly helpful when you are working on data analysis projects and need a reminder of which graph to use. The cheat sheets provide a visual representation of all the types of available visualizations.

 

// 9. tldr-pages: Collaborative Cheatsheets for Console Commands

Link: tldr-pages/tldr

tldr-pages provides community-driven cheatsheets for console commands, making it easy to find practical examples and usage for numerous CLI tools. It is a must-have for anyone who spends a lot of time in the terminal.

 

// 10. Devhints Cheatsheets: Web Development at a Glance

Link: rstacruz/cheatsheets

A cheat sheet collection for web development, including HTML, CSS, JavaScript, and more. Devhints offers clear, concise, and well-organized references for developers.

 

Conclusion

 
These cheat sheets are designed primarily for professionals who need a quick refresher before an interview or while working on a project. Rather than being introductory guides, they offer concise, bite-sized information that allows you to grasp core concepts and essential commands within just a few minutes. This makes them ideal for experienced users who want to efficiently review and reinforce their knowledge without wading through lengthy documentation.
 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.



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AI in Travel

Vietnamese travelers lead in AI-powered tourism adoption

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Vietnamese travelers are increasingly embracing artificial intelligence (AI) to enhance their journeys, according to the newly released Global AI Sentiment Report from Booking.com. Based on a survey of over 37,000 consumers across 33 markets, including Vietnam, the report highlights how AI is reshaping travel experiences.

In Vietnam, 99% of users leverage AI-powered search tools, 92% use AI-generated content recommendations, and 95% interact with generative AI tools, underscoring AI’s growing role in daily travel planning and decision-making.

The report categorizes Vietnamese travelers based on their attitudes toward AI. Nearly 47% identify as AI enthusiasts, intrigued and excited about AI’s potential. Another 28% are AI advocates, who support responsible adoption of AI technologies. Together, these groups reflect strong openness and optimism about AI’s benefits in tourism.

Beyond improving convenience and efficiency, AI is also expected to bring positive social impact. A significant 80% of Vietnamese respondents acknowledge this aspect, while 79% appreciate AI’s ability to help them avoid overcrowded destinations and peak hours, enhancing the quality of their experiences.

Sustainability and local impact are also top of mind. Seventy-six percent of Vietnamese travelers want AI to prioritize recommendations that benefit local communities, highlighting a shift toward more responsible tourism.

Despite widespread enthusiasm, caution remains. Ninety-one percent of respondents expressed at least one concern about the long-term implications of AI. Specifically, 4% consider themselves AI cautious, worried about its development and application; 2% are AI skeptics, and 6% identify as AI detractors, signaling that a meaningful segment is still hesitant.

These findings underscore the need for balanced and responsible AI implementation, ensuring user trust while maximizing its potential. The evolving perspectives of Vietnamese travelers will shape not only the future of AI in tourism, but also its integration across other sectors in Vietnam.

PV




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AI in Travel

AI use for holiday bookings surges among Australians & Boomers

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New research shows a sharp increase in Australians utilising artificial intelligence (AI) to plan and book their holidays, with use particularly high among Boomers.

The findings, published in Adyen’s 2025 Hospitality and Travel Report, indicate that 28% of Australians now use AI to book holidays – an increase of 73% from the previous year. Notably, Boomer adoption of AI for travel planning has more than doubled, with usage up 106% year-on-year.

AI on the rise

The report suggests that AI is being embraced across multiple generations. Gen Z (49%) and Millennials (41%) remain the most active users for travel-related AI, while Boomers are catching up rapidly. Among Australians who use AI when booking travel, 71% said it delivers faster inspiration than any other method, and 60% of Boomers found it particularly helpful in navigating ad-heavy social media environments.

AI tools are now influencing each stage of the travel process, from suggesting destinations and planning itineraries to identifying last-minute deals. As consumer habits shift, hospitality and travel businesses must adapt to increasing expectations for speed, personalisation, and security in digital experiences.

Industry response

The hospitality sector is preparing for the impact of these changes. According to the report, 47% of hospitality businesses expect AI-powered search tools to reshape the industry in 2025 and beyond. The same percentage believe automation that personalises guest experiences will play a transformative role.

Hayley Fisher, Adyen’s Country Manager for Australia & New Zealand, commented on the trend, noting the expanding role of AI in the customer journey:

Across Australia, we’re seeing more hospitality businesses embedding AI across their digital platforms to personalise search, surface relevant experiences, and inspire faster bookings. But the real power of AI is unlocked when it enhances the checkout too – by tailoring payment options based on customer preferences, speeding up authentication, and spotting fraud before it impacts the guest. That’s what turns AI from a novelty into a competitive advantage.

This growing use of AI technology not only changes how trips are discovered and booked but also affects payment processes, from dynamic pricing and personalised offers to real-time fraud detection.

Security concerns

The increase in digital transactions has led to a marked rise in payment fraud attempts. The report states that 39% of accommodation providers globally have observed a significant increase in fraudulent activity over the past year.

Fisher emphasised the importance of balancing convenience with security:

With AI now central to travel planning, security can’t be an afterthought. Guests expect every interaction from discovery to payment to be effortless, but also secure. At Adyen, we help hospitality businesses strike that balance, using AI not just to personalise experiences but to prevent fraud in real time and protect what matters most – customer trust.

According to the report’s findings, 63% of merchants believe fragmented online and on-site payment systems are restricting their ability to deliver a connected guest experience, a challenge that grows as customer expectations for frictionless journeys increase.

Changing booking habits

Australians’ holiday-planning behaviour reflects a broader embrace of digital tools. AI’s ability to filter through vast amounts of content and adapt to user needs appears to be a key driver of its uptake among all age groups. For Boomers in particular, AI offers help in navigating a digital landscape often saturated with advertising and irrelevant options.

The shift towards AI-powered planning has led hospitality operators to focus increasingly on streamlining their digital operations, personalising interactions, and strengthening fraud protection.

The report is based on consumer and merchant research conducted by Censuswide across a range of international markets, with specific emphasis on Australian trends reflecting changing habits, expectations, and industry responses.



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AI in Travel

CEO Brian Chesky Says Airbnb Is Becoming an AI-First App With Agents

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Not only does Airbnb want to be the “everything app” — where users can book literally everything, from accommodations to experiences and services — it also wants to do the booking for you.

Brian Chesky, cofounder and CEO of Airbnb, laid out his vision for the travel app’s AI-powered future during the company’s second-quarter earnings call on Wednesday. Airbnb beat revenue expectations for quarter two and announced a $6 billion stock buyback, but said it expected slower growth in Q3. The stock was down more than 6% after-hours.

“Over the next couple of years, I think what you’re going to see is Airbnb becoming an AI-first application,” Chesky said on the call with analysts.

He added that currently “almost none” of the top 50 apps in the App Store are AI apps, with the notable exception of OpenAI’s ChatGPT. But he predicted that soon every one of them will be AI apps, either AI startups or pre-generative AI apps that successfully transform into “native AI” apps. That’s the transformation that he says is underway at Airbnb.

Chesky said Airbnb’s approach to utilizing AI has differed from some other travel companies in that they have not focused on using AI to offer travel planning and inspiration. Instead, the company has rolled out AI in customer service, with a custom agent built on 13 different models and trained on tens of thousands of conversations.

As a result of the AI customer service chatbot, he said Airbnb has reduced the number of hosts and guests who need to contact a human agent by 15%.

Chesky said the AI agent is going to become more personalized throughout the next year and that it will be able to take more actions on behalf of the user.

“It will not only tell you how to cancel your reservation, it will know which reservation you want to cancel. It can cancel it for you and it can be agentic as in it can start to search and help you plan and book your next trip,” he added.

Airbnb declined to provide additional comment when reached by Business Insider.

In February, Chesky said on Airbnb’s quarter four earnings call that he thought it was still too early to use AI for trip planning, but that he believed AI would eventually have a “profound impact on travel.”

Chesky also said in February that he wants to make Airbnb the Amazon of travel, or a one-stop shop for “all of your traveling and living needs.”

Airbnb in May announced it was relaunching its Experiences business and launching Services, which allows users to book on-site professionals like photographers or massage therapists.

On the call Wednesday, Chesky said he was “very bullish” on Experiences and that the feedback so far has been positive.

Axel Springer, Insider Inc.’s parent company, is an investor in Airbnb.





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