The new naming convention😹😹

How to Stay Consistent While Learning to Code (Even With a Busy Schedule)

Read Here: https://intercomuniversity.com/blog/how-to-stay-consistent-while-learning-to-code-even-with-a-busy-schedule/

Curiosity is a muscle. If you don’t feed it, it atrophies. If you push it, it compounds.
The moment you feel “comfortable,” that’s usually the warning sign that you’re stagnating.

🔆 t.me/techpsyche

Vibe coding😹

Some of the Rarest Things in the World

Countries with the Tallest Men 👉 t.me/theworldpoint/44

The audacity of people and companies that run ads claiming you can become a website owner in less than five minutes, without any coding knowledge! 😅

7 things undermining your CV.

1/ Generic soft skills

❌ "Excellent communication and teamwork skills"

✅ "Led weekly team meetings for 20+ colleagues, consistently praised for clear action items and 95% follow-through rate"

2/ Empty buzzwords

❌ "Results-driven professional with a proven track record"

✅ "Increased Q4 sales by 55% through data-driven customer segmentation"

3/ Vague achievements without impact

❌ "Managed email campaigns"

✅ "Grew email list from 5K to 25K subscribers in 6 months, increasing revenue by 40%"

4/ Novel-length job descriptions

❌ "Responsible for managing various projects including daily operations, team coordination, client communication, and ensuring deliverables meet quality standards while maintaining..."

✅ "Delivered 3 major projects (2M value) under budget, cutting delivery time by 30%"

5/ Random personal interests

❌ "Enjoy reading and traveling"

✅ Either cut completely or make it relevant: "Build custom mechanical keyboards (shows attention to detail)"

6/ Old unrelated work experience

❌ 3 paragraphs about your internship from 10 years ago

✅ One line showing progression: "Advanced from intern to team lead in 18 months"

7/ The skill dump

❌ List of 30 random tools you've touched once

✅ "Core skills: Tableau (5 years), SQL (advanced), Python (built 3 production apps)"

💡 The formula that works 💡:
Numbers + Specifics + Impact = Interviews

Need a CV that actually gets seen (and gets you interviews)?

10 CV Mistakes You Need to Avoid: t.me/techpsyche/475

𝗧𝗵𝗶𝘀 𝗿𝗲𝘀𝘂𝗺𝗲 𝗵𝗮𝘀 𝗮𝗻 𝗔𝗧𝗦 𝘀𝗰𝗼𝗿𝗲 𝗼𝗳 𝟵𝟱: t.me/jobsourceglobal/211

Exclusive Offer reserved for you.

Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d

Threatening to bench Claude

REMOTE JOB - Web 3

📢Role: Senior Software Development Engineer in Test (SDET)

🏪 Company: Startale
📍Location: Remote (Global)
👔 Experience Years: 5+ Yrs
💸 Salary: Not Stated
⏰ Employment Type: Full-time

Responsibilities:
- Design, build, and evolve the company’s quality engineering platform and testing architecture across unit, integration, contract, API, and end-to-end testing.
- Build and maintain reusable testing frameworks, shared libraries, fixtures, developer tooling, and CI/CD integrations.
- Design and implement AI-assisted quality engineering workflows (automated test generation, failure analysis, regression detection, etc.).
- Develop comprehensive automated test suites for frontend, backend, APIs, blockchain interactions, and complex Web3 user flows.
- Optimize test execution (parallelization, intelligent selection, caching) and drive automation-first practices across teams.
- Validate Web3/DeFi flows including wallets, token operations, smart contracts, transaction lifecycle, and edge cases like reorgs, gas estimation, slippage, and network failures.

Requirements:
- 5+ years in SDET, Quality Engineering, Test Automation, or Software Engineering roles.
- Strong software engineering skills with JavaScript or TypeScript.
- Experience designing testing architecture for complex distributed systems and building scalable automation frameworks from scratch.
- Strong experience with end-to-end testing frameworks such as Playwright or Cypress.
- Strong experience testing APIs (REST, JSON-RPC, GraphQL, WebSocket) and integrating tests into CI/CD pipelines.
- Experience working with Docker and containerized testing environments.
- Experience designing and implementing performance, load, and reliability testing and debugging distributed systems.

Nice to have:
- Professional experience testing Web3 applications, blockchain infrastructure, or DeFi protocols.
- Strong understanding of blockchain fundamentals, smart contracts, wallets, tokens, RPCs, and on‑chain transaction flows.
- Experience testing DeFi functionality (swaps, liquidity, staking, lending) and using blockchain testing frameworks or local networks.
- Experience designing AI-assisted testing systems or integrating LLMs into QA workflows.
- Experience with Kubernetes, cloud-native infrastructure, and observability platforms (OpenTelemetry, Prometheus, Grafana, Datadog).

Stack:
JavaScript, TypeScript, Playwright, Cypress, REST, JSON-RPC, GraphQL, WebSocket, Docker, Kubernetes, OpenTelemetry, Prometheus, Grafana, Datadog, LLMs

📌How to Apply:
startale.com/en/career/5177342008

Telegram Channel👇
t.me/remotejobskt

WhatsApp Channel👇
whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37

All the Best🥳

someThingsNeverChange

📱 Mobile App Development Frameworks & Their Use Cases 🚀📲

🔹 Flutter ➜ Cross-platform apps with a single codebase (Android + iOS)

🔹 React Native ➜ Build mobile apps using JavaScript & React

🔹 SwiftUI ➜ Native iOS app development with modern UI approach

🔹 Kotlin Multiplatform ➜ Share business logic across Android & iOS

🔹 Ionic ➜ Hybrid mobile apps using HTML, CSS & JavaScript

🔹 Xamarin ➜ Cross-platform apps using C# and .NET

🔹 Android Jetpack ➜ Modern Android app architecture components

🔹 Firebase ➜ Backend services for authentication, database & hosting

🔹 Unity ➜ Mobile game development with powerful graphics engine

🔹 Apache Cordova ➜ Convert web apps into mobile apps

💬 Tap ❤️ if this helped you!

Must do things before uploading your app to the store👇
t.me/mobiledevresourcestp/154

Mobile UI UX: t.me/mobiledevresourcestp/151

Kotlin Multiplatform: t.me/mobiledevresourcestp/145

Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Wake up early. Complete the single highest priority task. The rest becomes easy

Learn a skill — solve problems
Write code — ship value
Join teams — build impact

🔆 t.me/techpsyche

I wonder why 🥲

THESE ARE THE MEANING OF THE FOLLOWING ABBREVIATIONS.

1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.

Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967

Best Programming Resources
topmate.io/learning_resources/1362011

Computer Science Free Courses
t.me/techpsyche/546

Passive Income Ideas for Developers
t.me/techpsyche/596

More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

15 Legitimate Work-From-Home Jobs for Beginners (No Experience Required)

List Here: https://remotechrome.com/blog/15-legitimate-work-from-home-jobs-for-beginners-no-experience-required/

🚨FULLY FUNDED SCHOLARSHIP ALERT

🎓The University of British Columbia UBC International Scholars Program for International Students (Fully Funded)

Application Details Here 👇
https://kenyatrends.co.ke/opportunities/scholarships/the-university-of-british-columbia-ubc-international-scholars-program-for-international-students-fully-funded/

Career day

Data Analyst Learning Plan in 2025

|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates

|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)

I have curated best Top-Notch Data Analytics Resources 👇👇
topmate.io/learning_resources/1456762

Like this post for more content like this 👍♥️

Data analyst skills

Harvard CS50 – Free Computer Science Course (2023 Edition)

Here are the lectures included in this course:

Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity

Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/

Michigan University Free Courses
https://t.me/freecoursescentre/158

IBM Free Certification Courses
https://intercomuniversity.com/tag/microsoft/

More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G