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доля реакций к просмотрам- 4 авг.Top 21 skills to learn this year 👇 1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications. 2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems. 3. Cybersecurity: Protecting data and systems from cyber threats. 4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud. 5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies. 6. Digital Marketing: Expertise in SEO, social media, and online advertising. 7. Programming: Skills in languages such as Python, JavaScript, and Go. 8. UX/UI Design: Creating intuitive and effective user interfaces and experiences. 9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth. 10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively. 11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum. 12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity. 13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies. 14. Emotional Intelligence: Skills in empathy, communication, and relationship management. 15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy. 16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling. 17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native. 18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP. 19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js. 20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka. 21. Soft Skills: Improving leadership, teamwork, and adaptability skills. Join for more: 👇 https://t.me/free4unow_backup ENJOY LEARNING 👍👍1,11%
- 12 июл.✅ Coding A-Z: Your Essential Guide 💻 ✨ 🅰️ Algorithm: A step-by-step procedure for solving a problem. The backbone of every program. 🅱️ Boolean: A data type with only two possible values: true or false. The foundation of logic in code. ©️ Class: A blueprint for creating objects, encapsulating data and methods. Central to object-oriented programming. 🅳 Data Structure: A way of organizing and storing data for efficient access and modification (e.g., arrays, linked lists, trees). 🅴 Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions (handle them!). 🅵 Function: A block of organized, reusable code that performs a specific task. A building block of modular code. 🅶 Git: A distributed version control system for tracking changes in source code during software development. Essential for collaboration. 🅷 HTTP (Hypertext Transfer Protocol): The foundation of data communication on the World Wide Web. 🅸 IDE (Integrated Development Environment): A software application that provides comprehensive facilities to computer programmers for software development (e.g., VS Code, IntelliJ). 🅹 JSON (JavaScript Object Notation): A lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. 🅺 Keyword: A reserved word in a programming language that has a special meaning and cannot be used as an identifier. 🅻 Loop: A sequence of instructions that is continually repeated until a certain condition is reached (e.g., for loop, while loop). 🅼 Method: A function that is associated with an object. They define the behavior of objects. 🅽 Null: Represents the absence of a value or a non-existent object pointer. 🅾️ Object: A fundamental concept in object-oriented programming, it is an instance of a class, containing data (attributes) and code (methods). 🅿️ Polymorphism: The ability of different classes to respond to the same method call in their own specific way. 🆀 Query: A request for data from a database. 🆁 Recursion: A function that calls itself to solve a smaller instance of the same problem. Useful for problems with self-similar substructures. 🆂 String: A sequence of characters, used to represent text. 🆃 Thread: A small unit of CPU execution, that can be executed concurrently with other units of the same program. 🆄 Unicode: A character encoding standard that provides a unique number for every character, regardless of the platform, program, or language. 🆅 Variable: A named storage location in the computer's memory that can hold a value. 🆆 While Loop: A control flow statement that allows code to be executed repeatedly based on a given boolean condition. 🆇 XML (Extensible Markup Language): A markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. 🆈 YAML (YAML Ain't Markup Language): A human-readable data serialization language often used for configuration files and in applications where data is being stored or transmitted. 🆉 Zero-Based Indexing: A way of indexing an array where the first element has an index of zero. Tap ❤️ for more!0,46%
- 6 июл.💻 Programming Domains & Languages What to learn. Why to learn. Where you fit. 🧠 Data Analytics - Analyze data - Build reports - Find insights Languages: SQL, Python, R Tools: Excel, Power BI, Tableau Jobs: Data Analyst, BI Analyst, Business Analyst 🤖 Data Science & AI - Build models - Predict outcomes - Work with ML Languages: Python, R Libraries: pandas, numpy, scikit-learn, tensorflow Jobs: Data Scientist, ML Engineer, AI Engineer 🌐 Web Development - Build websites - Create web apps Frontend: HTML, CSS, JavaScript Backend: JavaScript, Python, Java, PHP Frameworks: React, Node.js, Django Jobs: Frontend, Backend, Full Stack Developer 📱 Mobile App Development - Build mobile apps Android: Kotlin, Java iOS: Swift Cross-platform: Flutter, React Native Jobs: Android, iOS, Mobile App Developer 🧩 Software Development - Build systems - Write core logic Languages: Java, C++, C#, Python Used in: Enterprise apps, Desktop software Jobs: Software Engineer, Application Developer 🛡️ Cybersecurity - Secure systems - Test vulnerabilities Languages: Python, C, C++, Bash Tools: Kali Linux, Metasploit Jobs: Security Analyst, Ethical Hacker ☁️ Cloud & DevOps - Deploy apps - Manage servers Languages: Python, Bash, Go Tools: AWS, Docker, Kubernetes Jobs: DevOps Engineer, Cloud Engineer 🎮 Game Development - Build games - Design mechanics Languages: C++, C# Engines: Unity, Unreal Engine Jobs: Game Developer, Game Designer 🎯 How to choose - Like data → Data Analytics - Like math → Data Science - Like building websites → Web Development - Like apps → Mobile Development - Like system logic → Software Development - Like security → Cybersecurity ✅ Smart strategy - Pick one domain - Master one language - Add tools slowly - Build projects 😊 Double Tap ♥️ For More0,46%
- 8 июл.🧠 10 ChatGPT Prompts That Make Your Work Easier 💼 1️⃣ Preparing for meetings fast "Give me a 2-minute executive summary of [topic] with key stats and talking points so I sound expert in the next meeting." 2️⃣ Taking ideas to action "Turn these brainstorming notes [paste notes] into a step-by-step project launch plan with timelines, owners, and potential risks." 3️⃣ Quick data-driven decisions "Analyze this data [paste spreadsheet or describe]—highlight top three insights, suggest two actionable next steps, and flag any anomalies." 4️⃣ Sharing knowledge with teams "Summarize the latest research in [field] from 2025 in five bullet points I can share in a team chat, with sources for credibility." 5️⃣ Email management "Draft a polite follow-up email about [overdue task], reminding the recipient while keeping it friendly but assertive—include a clear call to action." 6️⃣ Personal productivity "Create a daily habit tracker in table form based on my goals [list goals], and recommend tweaks to boost consistency with reminders." 7️⃣ Policy simplification "Review this policy document [paste text] and rewrite the important rules in plain language for everyone, using short sentences and examples." 8️⃣ Social content creation "Write 10 viral tweet ideas for [topic] with compelling hooks, emojis, and calls to action to encourage engagement and shares." 9️⃣ Launching creative projects "List the steps, timeline, and common pitfalls to avoid for launching a [project, e.g., podcast] from scratch, including budget tips." 🔟 Research curation "Scan this list of links [paste links] and pick out five with unique, untapped research or insights I should review, plus a one-sentence summary each." Double Tap ♥️ For More!0,41%
- 29 июл.Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓 Here are 8 FREE courses to master AI in 2024: 1. Google AI Courses 5 courses covering generative AI from the ground up https://www.cloudskillsboost.google/paths/118 2. Microsoft AI Course Basics of AI, neural networks, and deep learning https://microsoft.github.io/AI-For-Beginners/ 3. Introduction to AI with Python (Harvard) 7-week course exploring AI concepts and algorithms https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python 4. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning) Best practices and hands-on prompting experience https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ 5. LLMOps (Google Cloud & DeepLearning) Learn the LLMOps pipeline and deploy custom LLMs https://www.deeplearning.ai/short-courses/llmops/0,41%
- 27 июл.✅ Free Resources to learn Full Stack Development: HTML → http://html.spec.whatwg.org/multipage/ CSS3 → http://web.dev/learn/css/ Javascript → https://t.me/javascript_courses React → http://reactjs.org Python → http://python.org Java → http://java67.com Ruby → http://gorails.com SQL → https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v MongoDB → http://learn.mongodb.com AWS → http://aws.amazon.com/training Azure → http://learn.microsoft.com/en-us/training Git & GitHub → http://LearnGitBranching.js.org Google Cloud → http://cloud.google.com/edu React ❤️ for more0,39%
- 25 июн.💻 Software Engineer Roadmap 🚀 📂 Computer Fundamentals ∟📂 Operating Systems (Processes, Threads, Memory, Scheduling) ∟📂 Networking Basics (HTTP/HTTPS, TCP/IP, DNS, APIs) ∟📂 DBMS (SQL, Indexing, Normalization, Transactions) ∟📂 Git & Version Control (GitHub workflow) 📂 Programming Fundamentals ∟📂 Language (Python / JavaScript / Java / C++) ∟📂 Variables, Loops, Functions ∟📂 OOP (Class, Object, Inheritance, Polymorphism) ∟📂 Error Handling & Debugging 📂 Data Structures & Algorithms ∟📂 Arrays, Strings, HashMap ∟📂 Stack, Queue, Linked List ∟📂 Trees, Graphs (Basics) ∟📂 Recursion & Backtracking ∟📂 Patterns (Sliding Window, Two Pointers, Binary Search, DFS/BFS) ∟📂 Dynamic Programming (Basic) 📂 Development (Choose One Path) ∟📂 Web Development 🌐 ∟ Frontend (HTML, CSS, JavaScript, React) ∟ Backend (Node.js / Django / FastAPI) ∟ Database (MongoDB / PostgreSQL) ∟ REST APIs + Authentication ∟📂 Backend / Systems ⚙️ ∟ APIs & Microservices ∟ Databases (SQL + NoSQL) ∟ Caching (Redis) ∟ Message Queues (Kafka/RabbitMQ Basics) ∟📂 AI / Data 🤖 ∟ Python (NumPy, Pandas) ∟ Machine Learning Basics ∟ APIs + AI Integration ∟ LLMs / RAG / AI Apps 📂 Tools & Development Skills ∟📂 Git & GitHub ∟📂 Linux Basics ∟📂 VS Code / IDE ∟📂 Postman (API Testing) ∟📂 Docker (Basics) 📂 System Design (Basics → Advanced) ∟📂 Scalability (Load Balancing, Caching) ∟📂 Database Design ∟📂 API Design ∟📂 Real-world Systems (URL Shortener, Chat App) 📂 Projects (Very Important 🔥) ∟📂 Beginner (Calculator, CLI Apps) ∟📂 Intermediate (CRUD App, Auth System) ∟📂 Advanced (Full Stack App / SaaS / AI Tool) ∟📂 Deploy Projects (Vercel / AWS / Render) 📂 Interview Preparation ∟📂 DSA Practice (LeetCode) ∟📂 Core Subjects Revision (OS, DBMS, CN) ∟📂 Mock Interviews 📂 Portfolio & Resume ∟📂 GitHub Projects ∟📂 Personal Portfolio Website ∟📂 Strong Resume (Project-focused) 📂 Job Preparation ∟📂 Apply Daily (Internships + Jobs) ∟📂 Cold DM + Networking ∟📂 Build Online Presence (LinkedIn / Instagram) ∟✅ Crack Interviews & Become Software Engineer 🚀0,27%
- 31 июл.Data Science Roadmap | |-- Core Foundations | |-- Mathematics | | |-- Linear Algebra | | |-- Calculus Basics | | |-- Probability | | |-- Statistics | | | |-- Programming | | |-- Python | | | |-- NumPy | | | |-- Pandas | | | |-- Matplotlib | | | |-- Seaborn | | |-- R | | |-- SQL | |-- Data Handling | |-- Data Collection | | |-- APIs | | |-- Web Scraping | | |-- Database Queries | | | |-- Data Cleaning | | |-- Missing Values | | |-- Outliers | | |-- Feature Scaling | | |-- Encoding | |-- Exploratory Data Analysis | |-- Summary Statistics | |-- Univariate Analysis | |-- Bivariate Analysis | |-- Visualizations | |-- Correlation Checks | |-- Machine Learning | |-- Supervised Learning | | |-- Regression | | |-- Classification | | | |-- Unsupervised Learning | | |-- Clustering | | |-- PCA | | | |-- Model Selection | | |-- Train Test Split | | |-- Cross Validation | | |-- Hyperparameter Tuning | |-- Advanced Machine Learning | |-- Ensemble Methods | | |-- Random Forest | | |-- XGBoost | | |-- LightGBM | | | |-- Time Series | | |-- ARIMA | | |-- LSTM | | | |-- NLP | | |-- Text Preprocessing | | |-- TF IDF | | |-- Word Embeddings | | | |-- Deep Learning | | |-- Neural Networks | | |-- CNN | | |-- RNN | | |-- Transformers | |-- Big Data | |-- PySpark | |-- Hadoop | |-- Distributed Processing | |-- Model Deployment | |-- Flask | |-- FastAPI | |-- Streamlit | |-- Docker | |-- Cloud Deployment | |-- MLOps | |-- Experiment Tracking | |-- Model Monitoring | |-- CI CD | |-- Domain Knowledge | |-- Finance | |-- Healthcare | |-- Retail | |-- Marketing | |-- Ethics | |-- Bias | |-- Interpretability | |-- Fairness Free Resources to learn Data Science 👇👇 Python • https://t.me/pythonproz • https://www.learnpython.org/ • https://pythonprogramming.net • https://pandas.pydata.org/docs/ Statistics • https://whatsapp.com/channel/0029Vat3Dc4KAwEcfFbNnZ3O • https://www.khanacademy.org/math/statistics-probability • https://statquest.org Machine Learning • https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O • https://t.me/datasciencefree • https://scikit-learn.org/stable/tutorial • https://www.freecodecamp.org/learn/machine-learning-with-python • https://course.fast.ai Deep Learning • https://www.deeplearning.ai • https://playground.tensorflow.org Data Visualization • https://matplotlib.org/stable/tutorials • https://whatsapp.com/channel/0029VaxaFzoEQIaujB31SO34 • https://seaborn.pydata.org/tutorial.html SQL • https://mode.com/sql-tutorial/introduction-to-sql • https://t.me/mysqldata Big Data • https://spark.apache.org/docs/latest • https://hadoop.apache.org Deployment • https://docs.streamlit.io • https://fastapi.tiangolo.com Like for more ❤️ ENJOY LEARNING 👍👍0,23%
- 25 февр.без подписи0,23%
- 24 июл.🚀 Backend Developer Roadmap 🚀 1. Foundation: 📚 Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript. 2. Database Management: 🛢️ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis). 3. API Development: 🌐 Explore RESTful API principles and design patterns. Learn how to create, test, and document APIs using frameworks like Flask (Python), Spring Boot (Java), or Express (JavaScript). 4. Authentication & Authorization: 🔒 Dive into authentication methods like JWT (JSON Web Tokens) and OAuth. Understand authorization mechanisms to control access to resources securely. 5. Server-Side Frameworks: 🛠️ Get hands-on experience with backend frameworks such as Django (Python), Spring (Java), or Express (JavaScript). Learn how to build robust, scalable web applications. 6. Middleware & Caching: 🔄 Explore middleware concepts for request processing and handling. Implement caching strategies using tools like Redis to improve performance. 7. Testing & Debugging: 🐞 Master unit testing, integration testing, and end-to-end testing techniques. Use debugging tools and practices to identify and resolve issues effectively. 8. Security Best Practices: 🛡️ Learn about common security threats and how to mitigate them. Implement security measures such as input validation, encryption, and secure communication protocols. 9. Containerization & Deployment: 🚢 Familiarize yourself with containerization technologies like Docker and container orchestration platforms like Kubernetes. Learn how to deploy and manage applications in production environments. 10. Monitoring & Logging: 📊 Understand the importance of monitoring and logging for application health and performance. Explore tools like Prometheus, Grafana, and ELK stack for monitoring and log management. 11. Scalability & Performance Optimization: ⚙️ Learn techniques for scaling backend systems to handle increased loads. Optimize performance through efficient algorithms, caching, and database optimization. 12. Continuous Integration & Deployment (CI/CD): 🔄🚀 Implement CI/CD pipelines to automate testing, building, and deployment processes. Utilize tools like Jenkins, GitLab CI, or GitHub Actions for seamless integration and deployment. 13. Version Control: 📝 Embrace version control systems like Git for managing code changes and collaboration. Learn branching strategies and best practices for efficient team development. 14. Documentation: 📄 Document your code, APIs, and system architecture effectively. Clear documentation improves understanding, maintenance, and collaboration among team members. 15. Stay Updated: 📰 Keep abreast of new technologies, frameworks, and best practices in backend development. Engage with the community, attend conferences, and participate in online forums to stay current. Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING 👍👍 #webdev0,21%
- 1 июл.без подписи0,19%
- 2 июл.I regret not knowing these websites earlier 👇 1/ PDF Drive: https://www.pdfdrive.com 2/ Smry AI: https://smry.ai 3/ DigitalDefynd: https://digitaldefynd.com 4/ Aragon AI: https://www.aragon.ai 5/ Qodo: https://www.qodo.ai0,16%