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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 56 140 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 375-o'rinni va Hindiston mintaqasida 6 505-o'rinni egallagan.

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“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

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56 140

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Software Engineer: C++ C# Java, Python, JavaScript Web Dev: HTML, CSS, JavaScript, NodeJS Game Dev: Unity, Unreal, Java App Dev: Flutter, Objective C, Java, Swift, Kotlin, React Cyber Security: Python, Linux, Networking AI & Data Science - Julia, Haskell

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Useful Cheatsheets for Programmers 👇👇 Data Science Cheatsheet https://github.com/aaronwangy/Data-Science-Cheatsheet SQL Cheatsheet https://learnsql.com/blog/sql-basics-cheat-sheet/ https://t.me/programming_guide/299 https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf https://t.me/learndataanalysis/442?single Java Programming Cheatsheet https://introcs.cs.princeton.edu/java/11cheatsheet/ PHP and Ruby Cheatsheets https://t.me/programming_guide/300 https://t.me/programming_guide/301 Pandas in 5 minutes https://bit.ly/3EZgNgF Python Cheat sheet https://t.me/pythondevelopersindia/314 UML Cheat sheet https://www.guru99.com/uml-cheatsheet-reference-guide.html. GIT and Machine Learning Cheatsheet https://t.me/datasciencefun/714?single Javascript Cheat sheet https://t.me/programming_guide/623 HTML Cheatsheet https://web.stanford.edu/group/csp/cs21/htmlcheatsheet.pdf ENJOY LEARNING 👍👍

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AI Journey 2024: Glimpse into AI-Driven Future The AI Journey International Conference on Artificial Intelligence and Machine Learning will once again bring together developers, scientists, and AI enthusiasts. With 200+ speakers from more than ten countries, including China, India, UAE, Indonesia, and Iran, the conference will glimpse an AI-enriched future. AI Journey will be held in Moscow on December 11–13, with each day highlighting a different track: Society, Business, and Science. On December 11, the focus will be on Society, where BRICS experts, business, and government representatives will discuss the key role of technologies and AI as a means to address social issues. Attendees will gain insights into various AI-related success stories and how AI supports the sustainable development of the planet. December 12 will be dedicated to Business. This track will feature leading experts such as Jaspreet Bindra, Dr. Aisha Bint Butti Bin Bishr, Janet Sawari, Karuna Gopal , and Hammam Riza, who will elaborate on real-world implementation of AI in business, and how business and industry can benefit from it. December 13 will be all about Science. Sessions will feature international researchers sharing insights into the latest AI technology and the AI’s impact on research and science in general. Swagatam Das, Vladimir Spokoiny, Dedi Darwis, Gonzalo Ferrer, and other international experts will delve into the latest scientific advances ranging from generative models and quantum technologies to cybersecurity, educational tools, and medicine. Speakers from Sber, Moscow Institute of Physics and Technology, Innopolis University, and others will share how AI is transforming learning, development, reading, and art in everyday life. The Science Day will also immerse all AI newbies in the world of artificial intelligence with a special AIJ Junior track. The AI Journey will host the awards ceremony for the finalists of the AI Challenge for young data scientists and the AIJ Contest for experienced AI professionals. Join the live broadcast. Be up to date with the top AI news!

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Coding isn't easy! It’s the art of turning ideas into functional, impactful software that shapes the world around us. To truly excel in coding, focus on these key areas: 0. Understanding the Basics: Learn the syntax, variables, loops, and conditionals in your chosen programming language. These are the building blocks of coding. 1. Mastering Data Structures and Algorithms: These are the backbone of efficient, scalable, and optimized code. 2. Learning Debugging Techniques: Understand how to identify and fix errors in your code using tools and logical thinking. 3. Writing Clean Code: Follow best practices like commenting, indentation, and naming conventions to make your code readable and maintainable. 4. Building Real-World Projects: Hands-on experience is essential. Apply what you learn by building applications, games, or automation scripts. 5. Collaborating with Git: Master version control to work effectively in teams and manage your codebase. 6. Exploring Frameworks and Libraries: Learn to use tools that simplify coding and add functionality to your projects. 7. Understanding Problem-Solving: Focus on logical thinking and breaking down problems into smaller, manageable parts. 8. Adapting to New Technologies: Stay curious and keep learning new languages, paradigms, and tools as they emerge. 9. Practicing Consistently: Coding is a skill that improves with regular practice and perseverance. 💡 Embrace the process, learn from your mistakes, and keep pushing your limits to grow as a developer. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING 👍👍

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⌨️ MongoDB Cheat Sheet

MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.

This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB. Working with databases Working with rows Working with Documents Querying data from documents Modifying data in documents Searching

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Practice projects to consider: 1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query. 2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior. 3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations. 4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.

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Essential programming language for Android app development 👇👇 1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps. 2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone. 3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications. 4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development. 5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices. Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java. Free Resources to learn App Development 👇👇 Developing Android Apps with Kotlin Udemy Android Basics in Kotlin Advanced Android with Kotlin Join @free4unow_backup for more free resources. ENJOY LEARNING👍👍

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