Here are some key takeaways from “The Millionaire Fastlane” by MJ DeMarco:

Three Roadmaps to Wealth:

1. Sidewalk: Living paycheck to paycheck, focused on immediate gratification.

2. Slowlane: Traditional path of working for a salary, saving, and investing for retirement. Leads to wealth at a retirement age, often lacking the energy and health to fully enjoy it.

3. Fastlane: Building a scalable business that generates passive income and financial freedom within 7-10 years, allowing you to pursue your passions and live life on your terms.
———

Fastlane Principles

👉 Reject the Slowlane: There are downsides to the conventional path we’re taught by society.

👉 Produce, Don’t Consume: Create and offer value to a specific group of people, rather than just consuming.

👉 Work the Process: Wealth building is not a one-time event, but a gradual step-by-step journey.

👉 The Five Commandments: Build a business focusing on control, entry, need, time, and scale.

👉 Affect Millions: The greater your impact on people, the higher your potential earnings.

👉 Grow Money Trees: Develop a business that works without your involvement.

👉 Execute Better: Focus on the quality of your execution, over originality in your idea.

Developers, improve yourself everyday!

Developers best Friend:

🔍 Google
🤖chatGPT/ Bard
🎞 Youtube
❓ StackOverflow
📝 Notion
🔥 FreeCodeCamp
📦 Github


https://t.me/EmmersiveLearning

Tab Types to choose

Master Python:

The Python Tree 👇
|
|── Basics
| ├── Variables
| ├── Data Types
| | ├── Integers
| | ├── Floats
| | ├── Strings
| | ├── Booleans
| | └── None
| |
| ├── Operators
| | ├── Arithmetic
| | ├── Comparison
| | ├── Logical
| | ├── Assignment
| | └── Identity
| |
| ├── Control Flow
| | ├── if Statements
| | ├── else Statements
| | ├── elif Statements
| | ├── while Loops
| | └── for Loops
| |
| ├── Functions
| | ├── Function Definition
| | ├── Parameters
| | ├── Return Statement
| | └── Lambda Functions
| |
| └── Built-in Functions
| ├── print()
| ├── input()
| ├── len()
| ├── range()
| └── type()
|
|── Data Structures
| ├── Lists
| | ├── Indexing and Slicing
| | ├── List Methods
| | └── List Comprehensions
| |
| ├── Tuples
| ├── Sets
| ├── Dictionaries
| | ├── Accessing and Modifying
| | ├── Dictionary Methods
| | └── Dictionary Comprehensions
| |
| └── Collections Module
| ├── Counter
| ├── defaultdict
| ├── OrderedDict
| ├── namedtuple
| └── deque
|
|── Object-Oriented Programming (OOP)
| ├── Classes and Objects
| ├── Attributes and Methods
| ├── Inheritance
| ├── Encapsulation
| └── Polymorphism
|
|── File Handling
| ├── Reading and Writing Files
| ├── Working with Text Files
| └── Working with CSV and JSON
|
|── Exception Handling
| ├── try...except Blocks
| ├── else and finally Clauses
| └── Custom Exceptions
|
|── Modules and Packages
| ├── Creating Modules
| ├── Importing Modules
| ├── Standard Library
| └── Creating Packages
|
|── Virtual Environments
| ├── venv
| ├── virtualenv
| └── pipenv
|
|── Regular Expressions
|
|── Functional Programming
| ├── Map, Filter, and Reduce
| ├── Lambda Functions
| └── List Comprehensions
|
|── Decorators
|
|── Generators
|
|── Threading and Multiprocessing
|
|── Working with APIs
| ├── HTTP Requests
| ├── JSON Parsing
| └── RESTful APIs
|
|── Web Development
| ├── Flask
| ├── Django
| └── FastAPI
|
|── Data Science and Analysis
| ├── NumPy
| ├── Pandas
| └── Matplotlib
|
|── Machine Learning
| ├── Scikit-Learn
| ├── TensorFlow
| └── PyTorch
|
|── Database Interaction
| ├── SQLite
| ├── MySQL
| └── PostgreSQL
|
|── Testing
| ├── Unit Testing (unittest)
| ├── Test Automation (pytest)
| └── Mocking
|
|── Version Control (Git)
|
|── GUI Development
| ├── Tkinter
| └── PyQt
|
|── Networking
| ├── Socket Programming
| └── Requests Library
|
|── Concurrency and Parallelism
| ├── Asyncio
| └── Multiprocessing
|
|── Debugging and Profiling
|
|── Best Practices
| ├── PEP 8
| ├── Docstrings (PEP 257)
| └── Code Reviews
|
|── Pythonic Idioms
|
|── Python Web Frameworks
| ├── Flask
| ├── Django
| └── FastAPI
|
|── Python in the Cloud
| ├── AWS Lambda
| ├── Google Cloud Functions
| └── Azure Functions
|
|── Data Serialization
| ├── JSON
| └── Pickle
|
|── Python in IoT
|
|── Jupyter Notebooks
|
|── Data Visualization
| ├── Matplotlib
| ├── Seaborn
| └── Plotly
|
|── Geographic Information System (GIS) with Python
|
|── Game Development with Python
| ├── Pygame
| └── Godot Engine
|
|── Python Community and Resources
|
|____________ END __________________

@EmmersiveLearning

I would like to connect with people who work in these fields:

- Web Developer
- Web Designer
- Software Engineer
- Data Scientist
- Network Administrator
- Systems Analyst
- Cybersecurity Analyst
- UI/UX Designer
- DevOps Engineer
- Cloud Architect
- IT Project Manager
- Database Administrator
- Artificial Intelligence (AI) Engineer
- Machine Learning Engineer
- Quality Assurance (QA) Tester
- Web Developer Specialist
- IT Consultant
- Mobile App Developer
- Game Developer
- Business Analyst
- IT Security Specialist
- IT Systems Engineer
- Software Architect
- Network Engineer
- Front-end Developer
- Back-end Developer
- Full-stack Developer
- IT Operations Manager
- Computer Programmer
- Data Analyst
- IT Trainer/Instructional Designer
- Blockchain Developer
- Robotics Engineer
- Augmented Reality (AR) Developer
- Virtual Reality (VR) Developer
- Internet of Things (IoT) Specialist
- Ethical Hacker
- Digital Marketing Specialist
- Cloud Security Specialist
- Information Systems Manager
- Big Data Analyst
- Hardware Engineer
- Embedded Systems Engineer
- Technical Writer
- User Researcher
- SEO Specialist
- E-commerce Specialist
- Technology Educator
- Voice Interface Designer
- Biotech IT Specialist
- Health Informatics Specialist
- Computational Scientist
- Cloud Solutions Developer
- User Experience (UX) Researcher
- IT Compliance Officer
- Software Testing Engineer
- Application Support Analyst
- Enterprise Systems Manager
- Technology Project Coordinator
- Digital Transformation Consultant
- AI Research Scientist
- Cryptography Specialist
- Data Privacy Officer
- Fintech Developer
- High-Performance Computing Specialist
- IT Procurement Specialist
- Smart City Technology Coordinator
- Telecommunications Engineer
- Web Analytics Specialist
- 5G Technology Specialist
- User Interface (UI) Developer
- Quantum Computing Researcher
- Space Technology Engineer
- Educational Technology Specialist

If you’re working or learning towards working in one of these fields, drop a 👋

...also, invite others.

https://t.me/EmmersiveLearning

will these things happen for 2024 ?

@MuhibAi

Ai Prediction by Greg(OpenAi's president)

Happy and productive 2024!

@EmmersiveLearning

Building a Resilient Codebase! 💪

🛠 Focus on error handling
🔄 Build for failure recovery
📈 Plan for scalability
🚀 Embrace continuous deployment
🔍 Regularly update dependencies

Resilient code is key to a reliable application.

How do you make your codebase resilient? 👇

@EmmersiveLearning

start coding today!😍

Diving into a new framework?

Master it with these steps:

- Read the docs thoroughly 📖
- See one shot tutorial
- Start building minor projects
- Gradually move to major ones
- Join the community for support and insights 🤝
- Practice consistently! 💪

Step1 – HTML
Step2– CSS
Step3 – JavaScript
Step4 – Git+GitHub
Step5 – Build Project 👈
Step6 – React
Step7 – React Context
Step8 – Fetch external APIs
Step9 – Build Project 👈
Step10 – Next.js
Step11 – CI/CD
Step12 – Build Project 👈

🏆 – Frontend developer

@EmmersiveLearning

Let's go 2024

Frontend
•HTML + CSS
•Javascript
•React

Backend:
•Nodejs/Express
•Python/Django
•PHP/Laravel
•C#

Database
•MongoDB
•MySQL
•Postgres

Desktop
•Electron
•Tairi
•PyQt

Phones:
•React Native
•Flutter
•Kotlin

System
•Go
•C++
•Rust

Add more 💬👇


@EmmersiveLearning

Master Database Management:

The Database Tree 👇
|
|── Database Systems
| ├── Relational Databases (RDBMS)
| | ├── MySQL
| | ├── PostgreSQL
| | ├── Oracle Database
| | └── Microsoft SQL Server
| |
| ├── NoSQL Databases
| | ├── MongoDB
| | ├── Cassandra
| | ├── Redis
| | └── CouchDB
| |
| └── NewSQL Databases
| ├── Google Spanner
| └── CockroachDB
|
|── Database Models
| ├── Hierarchical Model
| ├── Network Model
| ├── Relational Model
| | ├── Tables
| | ├── Rows (Tuples)
| | └── Columns (Attributes)
| |
| ├── Object-Oriented Model
| ├── Document Model
| └── Graph Model
|
|── SQL (Structured Query Language)
| ├── Data Definition Language (DDL)
| | ├── CREATE TABLE
| | ├── ALTER TABLE
| | └── DROP TABLE
| |
| ├── Data Manipulation Language (DML)
| | ├── SELECT
| | ├── INSERT
| | ├── UPDATE
| | └── DELETE
| |
| ├── Data Control Language (DCL)
| | ├── GRANT
| | └── REVOKE
| |
| └── Transaction Control Language (TCL)
| ├── COMMIT
| ├── ROLLBACK
| └── SAVEPOINT
|
|── Database Design
| ├── Entity-Relationship Model (ERD)
| ├── Normalization
| ├── Denormalization
| └── Indexing
|
|── ACID Properties
| ├── Atomicity
| ├── Consistency
| ├── Isolation
| └── Durability
|
|── Joins
| ├── INNER JOIN
| ├── LEFT JOIN
| ├── RIGHT JOIN
| └── FULL OUTER JOIN
|
|── Transactions
| ├── Concurrent Transactions
| ├── Transaction Isolation Levels
| └── Deadlocks
|
|── Database Storage
| ├── Tablespace
| ├── Data Files
| └── Log Files
|
|── Data Security
| ├── Authentication
| ├── Authorization
| └── Encryption
|
|── Database Indexing
| ├── Types of Indexes
| | ├── B-Tree Index
| | ├── Hash Index
| | └── Bitmap Index
| |
| └── Query Optimization
|
|── Backup and Recovery
| ├── Full Backup
| ├── Incremental Backup
| └── Point-in-Time Recovery
|
|── Database Connectivity
| ├── ODBC (Open Database Connectivity)
| ├── JDBC (Java Database Connectivity)
| └── ORM (Object-Relational Mapping)
|
|── Big Data Databases
| ├── Apache Hadoop
| ├── Apache Cassandra
| └── Amazon DynamoDB
|
|── Data Warehousing
| ├── Star Schema
| ├── Snowflake Schema
| └── ETL (Extract, Transform, Load)
|
|── Database Administration
| ├── DBA Roles and Responsibilities
| ├── Performance Tuning
| └── Monitoring and Logging
|
|── Database Sharding
|
|── Cloud Databases
| ├── Amazon RDS
| ├── Azure SQL Database
| └── Google Cloud SQL
|
|── Time Series Databases
| ├── InfluxDB
| └── Prometheus
|
|── Geospatial Databases
| ├── PostGIS
| └── MongoDB Geospatial Queries
|
|── Mobile Databases
| ├── SQLite
| └── Realm
|
|── NoSQL Data Models
| ├── Document Store
| ├── Key-Value Store
| ├── Column-Family Store
| └── Graph Database
|
|── Database as a Service (DBaaS)
|
|── Graph Databases
| ├── Neo4j
| └── Amazon Neptune
|
|── In-Memory Databases
| ├── Redis
| └── Memcached
|
|── NewSQL Databases
| ├── Google Spanner
| └── CockroachDB
|
|── Data Governance
|
|── Data Migration
| ├── Schema Migration
| └── Data Migration Tools
|
|── Database Testing
|
|── Data Modeling Tools
| ├── ERwin
| ├── IBM Data Architect
| └── Microsoft Visio
|
|── Industry Standards
| ├── ANSI SQL
| └── ACID
|
|__ END ____

@EmmersiveLearning

🎯 Ways to use ChatGPT as a developer:

1. Solve Leetcode-type problems
2. Learn a new programming language
3. Create UI components
4. Use as a debugging tool
5. Generate config files
6. Write code comments
7. Generate regular expressions
8. Refactor code

Have any other ways?

@EmmersiveLearning