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Forwarded from Python Resources TP
Python from scratch by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

Link: https://open.cs.uwaterloo.ca/python-from-scratch/

Websites to Practice Python
https://t.me/pythonresourcestp/76

10 Ways to Speed Up Your Python Code
https://t.me/pythonresourcestp/73

Libraries for Data Science in Python
https://t.me/pythonresourcestp/66

Hope you'll like it

Like this post if you need more resources like this πŸ‘β€οΈ

WhatsApp Channel
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πŸ‡ΊπŸ‡Έ Bill Gates: These jobs beat AI, for now

Bill Gates says 3 types of humans still have job security: biologists, energy experts, and programmers. Biologists win because AI can’t form a hypothesis from a hunch or chase weird results down a rabbit hole. Discovery takes instincts β€” not just data. Energy experts stay relevant by solving problems that shift constantly: blackouts, surges, new fuels, changing climate. AI can’t adapt fast enough in real time.

And programmers? They write the code AI runs on. Until AI starts writing flawless code about itself with zero bugs, humans are still in charge. Bonus round: athletes. Gates told Fallon no one pays to watch a robot play cricket, yet.

πŸ”† t.me/techpsyche
πŸ‘2
Web Development isn't easy!

It’s the craft of building dynamic, user-friendly websites and applications that bring ideas to life online.

To truly excel in web development, focus on these key areas:

0. Mastering HTML, CSS, and JavaScript: These are the fundamental building blocks of every website. Understand how they work together to create structure, style, and interactivity.

1. Creating Responsive Designs: Learn to make websites that look great on every screen size using techniques like Flexbox, Grid, and media queries.

2. Exploring Frontend Frameworks: Dive into popular frameworks like React, Angular, or Vue to build scalable and maintainable UIs.

3. Understanding Backend Development: Learn server-side programming with Node.js, Django, or other backend technologies to handle logic and data processing.

4. Working with Databases: Get familiar with SQL and NoSQL databases to store and retrieve data efficiently.

5. Building APIs: Master REST and GraphQL to enable seamless communication between your frontend and backend.

6. Ensuring Performance Optimization: Optimize load times, use lazy loading, and write efficient code for better user experiences.

7. Prioritizing Security: Learn to protect your applications from vulnerabilities like SQL injection, XSS, and CSRF.

8. Understanding SEO and Accessibility: Ensure your sites are discoverable by search engines and accessible to all users, including those with disabilities.

9. Staying Updated with Web Trends: Web development evolves rapidlyβ€”stay on top of new frameworks, tools, and best practices.

Web development is a blend of creativity, logic, and constant learning.

Build with curiosity, test often, and always aim for a seamless user experience that leaves a lasting impression.

Web Development Resources πŸ‘‡πŸ‘‡

Intro to HTML and CSS (https://www.udacity.com/course/intro-to-html-and-css--ud001)

Free Javascript Resources (https://t.me/javascriptresourcestp)

Intro to Backend (https://www.udacity.com/course/intro-to-backend--ud171)

Intro to JavaScript (https://www.udacity.com/course/intro-to-javascript--ud803)

Web Developer Roadmap (https://t.me/webdevresourcestp/14)

Web Development for Beginners (http://learn.microsoft.com/training/paths/web-development-101/)

Object-Oriented JavaScript (https://www.udacity.com/course/object-oriented-javascript--ud711)

Join for more free resources. (https://t.me/techpsyche)

ENJOY LEARNING πŸ‘πŸ‘

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⚑️xAI builds gigawatt AI powerhouse

xAI has made history by deploying 168 Tesla Megapacks into Colossus 2, establishing the world’s first gigawatt-scale AI training supercluster. This self-powered, on-site, and instantaneous system eliminates grid dependency and delays, providing real-time energy for the development of advanced AI.

In contrast, Google continues to sign contracts for solar farms across various states. While these solar farms are clean, they are slower, fragmented, and reliant on the grid. xAI, however, is not waiting for weather conditions. Instead, it is building the future by developing its own batteries, which Tesla provides the power for, and then transforming that power into intelligence.

πŸ”† t.me/techpsyche
It doesn’t matter how small your business or product is β€” what truly matters is that you’ve started. Every big achievement begins with a first step, and along the way, you’ll grow, learn, and evolve. Starting is the most important part of the journey.

πŸ”† t.me/techpsyche
⚠️Do not try this at homeπŸ₯΄
𝟲 π—œπ—•π—  𝗙π—₯π—˜π—˜ π—–π—Όπ˜‚π—Ώπ˜€π—²π˜€ πŸš€πŸ’»

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- Python for Data Science
- SQL Relational Database
- Data Science Fundamentals
- Introduction to Cloud
- Machine Learning with Python
 
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πŸŽ‰ Jetpack Navigation 3 - navigation for Compose, written from scratch!

Let's be honest, Jetpack Navigation for Compose was no solution before it had type-safe navigation, but even then there were many questions. Google decided it was time to write a real navigation for Compose. Meet Jetpack Nav 3

Key:
πŸ‘‰ The developer has full control of the back stack
πŸ‘‰ Simpler Integration with Compose
πŸ‘‰ The ability to expand and implement your own navigation on basic components
πŸ‘‰ Animations out of the box
πŸ‘‰ Predictive Back support
πŸ‘‰ Support for adaptive layout
πŸ‘‰ Saving the state of each element of the back stack, including ViewModel
πŸ‘‰ Support for multi-modularity

So far, only the first alpha has been presented and the library still has a way to go, at least to acquire KMP support

πŸ”— More details in the documentation
https://developer.android.com/guide/navigation/navigation-3

🐱 Examples of use on GitHub
https://github.com/android/nav3-recipes

More Android Updates HereπŸ‘‡
https://t.me/mobiledevresourcestp
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60 AI tools to finish hours of work in minutes:

1. Productivity
- AI Research Assistant: otio.ai
- DeepSeek
- HeyGen
- BetterPic

2. Coding
- Replit
- Cursor
- Claude
- o3-mini-high

3. Social Media Management
- Tapilo
- Typefully
- TweetHunter
- Postwise
- Grok

4. Text-to-Image
- Grok
- Flux
- Midjourney
- Microsoft Copilot

5. Copywriting
- Copy AI
- Writesonic
- Adcopy AI
- Jasper AI

6. Website
- Dora
- 10Web
- Durable
- Landingsite

7. Meeting
- Tldv
- Otter
- Noty AI
- Fireflies

8. Resume
- Kickresume
- Resume AI
- Resume Checker
- Careerflow

9. Image to video
- Veo 2
- Kling AI
- Luma dream machine
- Sora

10. Writing
- Jasper
- HIX AI
- Textblaze
- Quillbot
- Grammarly

11. Prompt
- Snack Prompt
- CustomGPT
- PromptBox
- SiteGPT

12. UI/UX
- Figma
- Uizard
- UiMagic
- Photoshop

13. Design
- Canva
- Flair AI
- Designify
- Autodraw
AI Resources Here: t.me/airesourcestp

14. Logo Generator
- Namelix
- Designs AI
- Brandmark
- Stockimg AI

15. Audio
- Lovo AI
- Eleven Labs
- Songburst AI
- Adobe Podcast

13 AI Tools to 10X your Productivity: https://t.me/airesourcestp/94

10 AI Tools to save you Hours: https://t.me/airesourcestp/102

40 Content Creation Tools: https://t.me/airesourcestp/109

ENJOY LEARNING πŸ‘πŸ‘

More Resources Here:
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Elon Musk's xAI announced Live Search in the API

The new beta (free for a limited time) feature allows apps leveraging Grok models to search real-time info from X and the internet, including news

πŸ”† t.me/techpsyche
10 Things you need to become an AI/ML engineer:

1. Framing machine learning problems
2. Weak supervision and active learning
3. Processing, training, deploying, inference pipelines
4. Offline evaluation and testing in production
5. Performing error analysis. Where to work next
6. Distributed training. Data and model parallelism
7. Pruning, quantization, and knowledge distillation
8. Serving predictions. Online and batch inference
9. Monitoring models and data distribution shifts
10. Automatic retraining and evaluation of models

5 Free NLP Courses
https://t.me/airesourcestp/110

AI & ML Free Courses by Top Institutions
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Best Courses for AI from Universities with YouTube Playlists
https://t.me/airesourcestp/111

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ENJOY LEARNING πŸ‘πŸ‘
Remote AI Automation Developer Job at Contra

Budget: $40 - $75/hr β€’ 20 hrs/wk

Tech Stack:
* We use Make, Notion, and OpenAI (GPT-4). This isn’t just drag-and-drop automation; you’ll need to understand:
* APIs and JSON
* Regex and parsing logic
* Structuring data for AI input/output
* Debugging complex, multi-branch scenarios
* Code-level thinking when automation complexity increases

Apply Here:
https://kenyatrends.co.ke/m9m8

Global Tech Jobs HereπŸ‘‡
https://t.me/techpsyche

SHARE WITH YOUR FRIENDSπŸ₯³πŸ₯³
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πŸ‡¬πŸ‡§ AI is taking over weather forecasting

Back in the day, the UK used a room-sized computer named Comet to predict the weather. Now, AI is doing the heavy lifting, and it’s getting freakishly good at it. AI can now spot weather patterns faster, more accurately, and even zoom in to street-level forecasts, like β€œbring an umbrella for this exact corner.”

Tech giants like Google, Nvidia, and Microsoft are jumping in, while some scientists are building weather AIs that run on laptops, not supercomputers. This is a wild development. However, the catch is that these systems need tons of data, and global budget cuts or political drama could mess that up. Less data means worse forecasts, which could result in you getting soaked without warning. But don’t worry, human meteorologists aren’t getting replaced just yet. Someone still has to sanity-check the numbers and explain when the data doesn’t add up.

πŸ”† t.me/techpsyche
βœ… Difference Between USDT and USDC

USDT (Tether) and USDC (USD Coin) are both stablecoins pegged to the US Dollar. Here's how they differ: 

1️⃣ Issuers and Backing
- USDT: Issued by Tether Limited, backed by reserves including cash and other assets. Questions about transparency exist. 
- USDC: Issued by Circle in partnership with Coinbase, backed by cash and US Treasury bonds with regular audits. 

2️⃣ Transparency
- USDT: Less transparent; faced scrutiny over reserve accuracy. 
- USDC: More transparent; undergoes monthly third-party audits. 

3️⃣ Regulatory Compliance
- USDT: Operates with fewer regulatory commitments. 
- USDC: Adheres to U.S. financial regulations, trusted by institutions.

4️⃣ Use Cases
- USDT: Popular for trading due to high liquidity. 
- USDC: Preferred for DeFi, payments, and applications needing transparency. 

5️⃣ Adoption
- USDT: Most traded stablecoin globally. 
- USDC: Growing in popularity, especially among institutions. 

6️⃣ Blockchain Support
- USDT: Available on multiple blockchains like Ethereum, Tron, Solana, and more. 
- USDC: Also supports multiple blockchains but slightly less widespread. 

πŸ’‘ Conclusion:
- Use USDT for liquidity and trading volume. 
- Use USDC for transparency, compliance, and institutional trust. 

Funding in Crypto Trading: https://t.me/techpsyche/766

Choosing the right Exchange: https://t.me/techpsyche/774

Types of Stablecoins: https://t.me/techpsyche/1092

More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M

#crypto #web3 #blockchain #finance #stocks
Tableau Cheat Sheet βœ…

This Tableau cheatsheet is designed to be your quick reference guide for data visualization and analysis using Tableau. Whether you’re a beginner learning the basics or an experienced user looking for a handy resource, this cheatsheet covers essential topics.

1. Connecting to Data
- Use Connect pane to connect to various data sources (Excel, SQL Server, Text files, etc.).

2. Data Preparation
- Data Interpreter: Clean data automatically using the Data Interpreter.
- Join Data: Combine data from multiple tables using joins (Inner, Left, Right, Outer).
- Union Data: Stack data from multiple tables with the same structure.

3. Creating Views
- Drag & Drop: Drag fields from the Data pane onto Rows, Columns, or Marks to create visualizations.
- Show Me: Use the Show Me panel to select different visualization types.

4. Types of Visualizations
- Bar Chart: Compare values across categories.
- Line Chart: Display trends over time.
- Pie Chart: Show proportions of a whole (use sparingly).
- Map: Visualize geographic data.
- Scatter Plot: Show relationships between two variables.

5. Filters
- Dimension Filters: Filter data based on categorical values.
- Measure Filters: Filter data based on numerical values.
- Context Filters: Set a context for other filters to improve performance.

6. Calculated Fields
- Create calculated fields to derive new data:
- Example: Sales Growth = SUM([Sales]) - SUM([Previous Sales])

7. Parameters
- Use parameters to allow user input and control measures dynamically.

8. Formatting
- Format fonts, colors, borders, and lines using the Format pane for better visual appeal.

9. Dashboards
- Combine multiple sheets into a dashboard using the Dashboard tab.
- Use dashboard actions (filter, highlight, URL) to create interactivity.

10. Story Points
- Create a story to guide users through insights with narrative and visualizations.

11. Publishing & Sharing
- Publish dashboards to Tableau Server or Tableau Online for sharing and collaboration.

12. Export Options
- Export to PDF or image for offline use.

13. Keyboard Shortcuts
- Show/Hide Sidebar: Ctrl+Alt+T
- Duplicate Sheet: Ctrl + D
- Undo: Ctrl + Z
- Redo: Ctrl + Y

14. Performance Optimization
- Use extracts instead of live connections for faster performance.
- Optimize calculations and filters to improve dashboard loading times.

Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84

7 Free Data Analytics CoursesπŸ‘‡πŸ‘‡
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Data Analyst Checklist
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Hope it helps :)

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