WhatsApp has quietly started showing ads in Status and Channels from today, while keeping private chats and calls free from ads.
Tesla starts testing robotaxis in Austin with no safety driver
Just about six months after Tesla started testing its fledgling Robotaxi service in Austin, Texas, the company is now letting those cars drive around the city with no safety monitor onboard.
The removal of the human safety monitors brings the company a critical step closer to its goal of launching a real commercial Robotaxi service, and it’s a step that’s been years in the making.
CEO Elon Musk spent nearly a decade promising Tesla’s cars were just a software update away from being fully driverless. Now he is on the precipice of launching a service meant to compete with Waymo, the Alphabet-owned company that he said last week “never really had a chance against Tesla.”
🔆 t.me/techpsyche
Just about six months after Tesla started testing its fledgling Robotaxi service in Austin, Texas, the company is now letting those cars drive around the city with no safety monitor onboard.
The removal of the human safety monitors brings the company a critical step closer to its goal of launching a real commercial Robotaxi service, and it’s a step that’s been years in the making.
CEO Elon Musk spent nearly a decade promising Tesla’s cars were just a software update away from being fully driverless. Now he is on the precipice of launching a service meant to compete with Waymo, the Alphabet-owned company that he said last week “never really had a chance against Tesla.”
🔆 t.me/techpsyche
The most common form of giving up is never starting. Moving one step ahead makes the next easier.
🔆 t.me/techpsyche
🔆 t.me/techpsyche
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
UI People.
Hellowww
Hellowww
REMOTERemote Social Media Manager Jobs at Global Top Companies, December 2025, Apply Now
Hiring Companies:
- PsiQuantum, Rwaq, 20four7VA, Espresso Systems, Garden3D, Hire Level Consulting, Gratitude Driven LLC
Apply Here:
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More Remote Tech Jobs Here👇
https://t.me/jobsourceglobal
SHARE WITH YOUR FRIENDS🥳🥳
✅ Top Deployment Platforms for Web Developers 🚀💻
1️⃣ Netlify (Best for Frontend & Static Sites)
🔹 Ideal for HTML, CSS, JavaScript, React, Vue
🔹 Auto-deploys from GitHub/GitLab/Bitbucket
🔹 Free SSL, custom domains, and CI/CD
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🔹 Great for JAMstack apps
2️⃣ Heroku (Great for Full-Stack Apps)
🔹 Supports Node.js, Python, Ruby, Java, etc.
🔹 One-click deployment using Git or GitHub
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3️⃣ Vercel (Best for Next.js & Frontend Frameworks)
🔹 Perfect for React, Next.js, Vue, Svelte
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🔹 CDN-based, fast global deployment
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💬 Tap ❤️ for more!
More Tech Tools Here👇
t.me/techpsyche
More resources on this WhatsApp Channel👇
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1️⃣ Netlify (Best for Frontend & Static Sites)
🔹 Ideal for HTML, CSS, JavaScript, React, Vue
🔹 Auto-deploys from GitHub/GitLab/Bitbucket
🔹 Free SSL, custom domains, and CI/CD
🔹 Built-in form handling, edge functions
🔹 Great for JAMstack apps
2️⃣ Heroku (Great for Full-Stack Apps)
🔹 Supports Node.js, Python, Ruby, Java, etc.
🔹 One-click deployment using Git or GitHub
🔹 Add-ons for PostgreSQL, Redis, etc.
🔹 Free tier (sleep after inactivity)
🔹 Useful for MVPs, APIs, backend projects
3️⃣ Vercel (Best for Next.js & Frontend Frameworks)
🔹 Perfect for React, Next.js, Vue, Svelte
🔹 Instant preview URLs for every push
🔹 CDN-based, fast global deployment
🔹 Git integration with CI/CD
🔹 Automatic routing & serverless functions
🛠 Other options:
- Render – Full-stack, Postgres, CRON, free tier
- Firebase Hosting – Realtime apps, auth, DB
- Railway – Modern UI for backend + DB
- GitHub Pages – Great for static project portfolios
💬 Tap ❤️ for more!
More Tech Tools Here👇
t.me/techpsyche
More resources on this WhatsApp Channel👇
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
❤3
Finding a Job: Two Realities
In the job market, you’re usually in one of two positions:
1️⃣ You want the job — You’re applying, following up, and proving you’re the right fit.
2️⃣ They want you for the job — Your skills, reputation, and network are so strong that opportunities come knocking.
The goal isn’t just to get hired — it’s to build yourself into someone who gets chosen.
How?
Keep sharpening your skills.
Build visible proof of your work.
Grow your network genuinely.
Deliver so well that your name becomes a recommendation.
📌 Remember: The strongest career position is when you can say yes or no to offers — because both doors are open.
🔆 t.me/techpsyche
In the job market, you’re usually in one of two positions:
1️⃣ You want the job — You’re applying, following up, and proving you’re the right fit.
2️⃣ They want you for the job — Your skills, reputation, and network are so strong that opportunities come knocking.
The goal isn’t just to get hired — it’s to build yourself into someone who gets chosen.
How?
Keep sharpening your skills.
Build visible proof of your work.
Grow your network genuinely.
Deliver so well that your name becomes a recommendation.
📌 Remember: The strongest career position is when you can say yes or no to offers — because both doors are open.
🔆 t.me/techpsyche
❤5
Forwarded from Python Resources TP
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 ____
t.me/pythonresourcestp
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 ____
t.me/pythonresourcestp
❤2
Battling tight deadlines in software engineering demands steel nerves. 💪
India startup funding hits $11B in 2025 as investors grow more selective
India’s startup ecosystem raised nearly $11 billion in 2025, but investors wrote far fewer checks and grew more selective about where they took risk, underscoring how the world’s third most-funded startup market is diverging from the AI-fueled capital concentration seen in the U.S.
The selective approach was most evident in deal-making. The number of startup funding rounds fell by nearly 39% from a year earlier, to 1,518 deals, according to Tracxn. Total funding slipped more modestly — down just over 17% to $10.5 billion.
That pullback was not uniform. Seed-stage funding fell sharply to $1.1 billion in 2025, down 30% from 2024, as investors cut back on more experimental bets. Late-stage funding also cooled, slipping to $5.5 billion, a 26% decline from last year, amid tougher scrutiny of scale, profitability, and exit prospects. However, early-stage funding proved more resilient, rising to $3.9 billion, up 7% y-o-y.
🔆 t.me/techpsyche
India’s startup ecosystem raised nearly $11 billion in 2025, but investors wrote far fewer checks and grew more selective about where they took risk, underscoring how the world’s third most-funded startup market is diverging from the AI-fueled capital concentration seen in the U.S.
The selective approach was most evident in deal-making. The number of startup funding rounds fell by nearly 39% from a year earlier, to 1,518 deals, according to Tracxn. Total funding slipped more modestly — down just over 17% to $10.5 billion.
That pullback was not uniform. Seed-stage funding fell sharply to $1.1 billion in 2025, down 30% from 2024, as investors cut back on more experimental bets. Late-stage funding also cooled, slipping to $5.5 billion, a 26% decline from last year, amid tougher scrutiny of scale, profitability, and exit prospects. However, early-stage funding proved more resilient, rising to $3.9 billion, up 7% y-o-y.
🔆 t.me/techpsyche
If other people can create the coding tools and the language, it shouldn't be difficult for you
🔆 t.me/techpsyche
🔆 t.me/techpsyche
Choosing a book over your phone is choosing change.