Coding Projects
61K subscribers
774 photos
1 video
277 files
376 links
Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning

Managed by: @love_data
Download Telegram
Microsoft is offering FREE online courses with certification.

No Payment Required!

10 Microsoft courses you DO NOT want to miss โฌ‡๏ธ

1. Python for Beginners

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/beginner-python/

2. Introduction to Machine Learning with Python

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/

3. Microsoft Azure AI Fundamentals

๐Ÿ”— https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

4. Write Your First Code Using C#

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

5. Get started with AI on Azure

๐Ÿ”—https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/

6. Microsoft Azure Fundamentals: Describe Cloud Concepts

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/microsoft-azure-fundamentals-describe-cloud-concepts/

7. Introduction to GitHub

๐Ÿ”—https://learn.microsoft.com/en-us/training/modules/introduction-to-github/

8. Build an Early-Stage Startup

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/startups/

9. Microsoft Search Fundamentals

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/microsoft-search-fundamentals/

10. Get Started with Office 365

๐Ÿ”—https://learn.microsoft.com/en-us/training/paths/get-started-office-365-windows/

11. Data Science for Beginners

๐Ÿ”—https://microsoft.github.io/Data-Science-For-Beginners/#/

Enjoy Learning ๐ŸŒŸ
โค7
5 Python Projects for Beginners ๐Ÿ‘†
โค1
Java project ideas to help you practice your skills

1. ToDo List Application: Create a command-line or GUI-based application that allows users to create, manage, and organize their tasks.

2. Calculator: Build a simple calculator application that can perform basic arithmetic operations like addition, subtraction, multiplication, and division.

3. Library Management System: Design a system for managing library resources, including books, patrons, and borrowing records.

4. Chat Application: Develop a chat application that enables users to communicate in real-time, either as a desktop app or through a web interface.

5. Weather App: Create an app that fetches weather data from an API and displays current weather conditions for a given location.

6. Student Gradebook: Build a program to store and calculate student grades. You can add features like grade averages and report generation.

7. Expense Tracker: Create an application for tracking expenses and generating reports, helping users manage their finances.

8. Simple Game (e.g., Tic-Tac-Toe): Implement a classic game like Tic-Tac-Toe to learn about game logic and user interaction.

9. Blog or Content Management System (CMS): Build a simple blog or CMS where users can create, edit, and publish articles.

10. E-commerce Shopping Cart: Create a basic online shopping cart system with product listings, a shopping cart, and checkout functionality.

11. File Manager: Develop a file manager application that allows users to organize and manage files and directories on their computer.

12. Inventory System: Design an inventory management system for tracking products, quantities, and orders for a small business.

13. Music Player: Create a basic music player with features like play, pause, skip, and a library of songs.

14. Password Manager: Build a secure application for storing and managing passwords and other sensitive information.

15. Chess or Sudoku Solver: Implement a chess game or a Sudoku puzzle solver to delve into complex algorithms and logic.

16. Note-taking App: Develop a note-taking application with features like creating, editing, and organizing notes.

17. Expense Sharing App: Build an app for groups to track shared expenses and split bills among friends or roommates.

18. Task Scheduler: Create a program that allows users to schedule and manage tasks, reminders, and appointments.

19. Mini Social Media Platform: Create a simplified social media platform with features like user profiles, posting, and commenting.

20. Quiz or Flashcard Application: Design an app for creating and taking quizzes or using flashcards to study various topics.

Choose a project that aligns with your interests and skill level. As you work on these projects, you'll gain valuable experience and improve your Java programming skills.
โค6
Important skills every self-taught developer should master:

๐Ÿ’ป HTML, CSS & JavaScript โ€” the foundation of web development

โš™๏ธ Git & GitHub โ€” track changes and collaborate effectively

๐Ÿง  Problem-solving โ€” break down and debug complex issues

๐Ÿ—„๏ธ Basic SQL โ€” manage and query data efficiently

๐Ÿงฉ APIs โ€” fetch and use data from external sources

๐Ÿงฑ Frameworks โ€” like React, Flask, or Django to build faster

๐Ÿงผ Clean Code โ€” write readable, maintainable code

๐Ÿ“ฆ Package Managers โ€” like npm or pip for managing libraries

๐Ÿš€ Deployment โ€” host your projects for the world to see

Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
โค5
๐Ÿ“– SQL aggregate functions
โค4
๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ
Master the most in-demand AI skill in todayโ€™s job market: building autonomous AI systems.

In Ready Tensorโ€™s free, project-first program, youโ€™ll create three portfolio-ready projects using ๐—Ÿ๐—ฎ๐—ป๐—ด๐—–๐—ต๐—ฎ๐—ถ๐—ป, ๐—Ÿ๐—ฎ๐—ป๐—ด๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต, and vector databases โ€” and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
๐—™๐—ฟ๐—ฒ๐—ฒ. ๐—ฆ๐—ฒ๐—น๐—ณ-๐—ฝ๐—ฎ๐—ฐ๐—ฒ๐—ฑ. ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ-๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด.

๐Ÿ‘‰ Apply now: https://go.readytensor.ai/cert-593-agentic-ai-certification

React โ™ฅ๏ธ for more useful resources
โค2๐Ÿ‘1๐Ÿ˜ญ1
Data Science Essential Libraries โœ…
โค2
Python Project Ideas ๐Ÿ‘†
โค3
Python Code to remove Image Background
โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”-
from rembg import remove
from PIL import Image

image_path = 'Image Name' ## ---> Change to Image name

output_image = 'ImageNew' ## ---> Change to new name your image

input = Image.open(image_path)

output = remove(input)

output.save(output_image)
R Programming Roadmap
|
|-- Fundamentals
| |-- Basics of Programming
| | |-- Introduction to R
| | |-- Setting Up Development Environment (RStudio)
| |
| |-- Syntax and Structure
| | |-- Basic Syntax
| | |-- Variables and Data Types
| | |-- Operators and Expressions
|
|-- Control Structures
| |-- Conditional Statements
| | |-- If-Else Statements
| |
| |-- Loops
| | |-- For Loop
| | |-- While Loop
| | |-- Repeat Loop
| |
| |-- Exception Handling
| | |-- Try-Catch Block
| | |-- Warnings and Errors
|
|-- Functions and Scope
| |-- Defining Functions
| | |-- Function Syntax
| | |-- Parameters and Arguments
| | |-- Return Statement
| |
| |-- Scope
| | |-- Global and Local Scope
| | |-- Environments
|
|-- Data Structures
| |-- Vectors
| | |-- Creating Vectors
| | |-- Vectorized Operations
| |
| |-- Lists
| | |-- Creating and Manipulating Lists
| |
| |-- Matrices
| | |-- Creating Matrices
| | |-- Matrix Operations
| |
| |-- Data Frames
| | |-- Creating Data Frames
| | |-- Manipulating Data Frames
| |
| |-- Factors
| | |-- Creating and Using Factors
|
|-- Data Manipulation
| |-- dplyr
| | |-- Select, Filter, Arrange, Mutate, Summarize
| | |-- Piping (%>%)
| |
| |-- tidyr
| | |-- Gather and Spread
| | |-- Separate and Unite
|
|-- Data Visualization
| |-- Base R Graphics
| | |-- Plot, Hist, Boxplot, Barplot
| |
| |-- ggplot2
| | |-- Grammar of Graphics
| | |-- Creating Plots (Scatter, Line, Bar, Histogram)
| | |-- Customizing Plots (Themes, Labels, Legends)
|
|-- Statistical Analysis
| |-- Descriptive Statistics
| | |-- Mean, Median, Mode
| | |-- Standard Deviation, Variance
| |
| |-- Inferential Statistics
| | |-- Hypothesis Testing (t-tests, ANOVA)
| | |-- Correlation and Regression Analysis
|
|-- Advanced R
| |-- Date and Time
| | |-- Working with Dates and Times
| | |-- lubridate Package
| |
| |-- String Manipulation
| | |-- Stringr Package
| | |-- Regular Expressions
|
|-- Programming Concepts
| |-- Apply Family of Functions
| | |-- lapply, sapply, tapply, vapply
| |
| |-- Debugging
| | |-- Debugging Tools (browser, debug, trace)
| |
| |-- Object-Oriented Programming (OOP)
| | |-- S3 and S4 Systems
| | |-- Reference Classes (R5)
|
|-- Libraries and Packages
| |-- CRAN and Bioconductor
| | |-- Installing and Using Packages
| |
| |-- Popular Packages
| | |-- Data Manipulation (dplyr, tidyr)
| | |-- Data Visualization (ggplot2, lattice)
| | |-- Machine Learning (caret, randomForest)
|
|-- Reporting and Documentation
| |-- RMarkdown
| | |-- Creating RMarkdown Documents
| | |-- Including Code Chunks
| | |-- Generating Reports (HTML, PDF, Word)
|
|-- Deployment and Reproducibility
| |-- Version Control with Git
| | |-- Integrating RStudio with GitHub
| |
| |-- Reproducible Research
| | |-- Workflow Practices
| | |-- Using renv for Package Management
|
|-- Working with Big Data
| |-- Data.table Package
| | |-- Efficient Data Manipulation
| |
| |-- SparkR
| | |-- Using Apache Spark with R
| | |-- Handling Large Datasets

Free R Programming Courses

https://imp.i115008.net/gbJr5r

https://bit.ly/33LsOqo

https://bit.ly/3shVAJ9

Join @free4unow_backup for more free courses

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
โค4