Remote Frontend Developer Job at GROWE

2+ years of experience with React.js, basic knowledge of Next.js is a plus

Apply Here: https://kenyatrends.co.ke/remote-frontend-developer-job-at-growe/

Technical Team Lead (Full Stack) Needed at Digi-Utu Africa

* Proficient in PHP, JavaScript, Node.js, and Laravel
* Experience: 8+ years
* Type: Remote, Full-time
* Budget: $2.5-3.5k/month

About the Job:
* Lead Scalable Development: Build and maintain high-performance applications using JavaScript, Node.js, PHP, and Laravel, setting technical standards for the team.
* Oversee CI/CD Pipelines: Partner with DevOps to design and manage automated CI/CD pipelines using Bamboo.
* Ensure Code Quality: Conduct code reviews, manage Git repositories, and uphold best practices in coding.
* Database Optimization: Architect efficient database solutions, ensuring seamless, secure data handling.
* Quality Assurance: Champion automated testing to maintain system reliability pre-deployment.
* Agile Collaboration: Work cross-functionally with designers, DevOps, and stakeholders to meet business goals.
* Accessibility Leadership: Advocate for WCAG-compliant development, mentoring the team in web accessibility.
* Mentorship: Guide and support junior developers, fostering professional growth.
* Technical Strategy: Define project direction and deliver creative, efficient solutions.
* Stay Ahead: Implement emerging technologies to keep projects cutting-edge.

Apply Now: https://kenyatrends.co.ke/technical-team-lead-full-stack-needed-at-digi-utu-africa/

Remote Tech Hiring at Conclase

Conclase is hiring for the following roles:

- Frontend Engineer
- Backend Engineer
- Frontend Mobile Developer
- Application Support Engineer

Conclase is hiring for the following positions:

Backend Engineer ( junior, Intermediate and senior).
Skills: Core, C#

Frontend Engineer ( Intermediate )
Skills: Angular,React

Frontend Mobile Developer ( Intermediate )
Skills: Flutter

Application support
Skills: DBMS (SQL,Oracle, MongoDB, DevOps)

Apply Here: https://kenyatrends.co.ke/remote-tech-hiring-at-conclase/

Designers, Animators. This' yours >>
Old Google Drive with Anime Vectors

Link: https://drive.google.com/drive/folders/0B_VmbVyD4eT3N1VUbGN4Wjd5OVE

12 Essential Skills for 2025

750+ Majestic Collection of Useful Resources and Websites

Check Here: https://dev.to/hackerdev/750-majestic-collection-of-useful-resources-and-websites-eph

Learn Data Science in 2025

𝟭. 𝗔𝗽𝗽𝗹𝘆 𝗣𝗮𝗿𝗲𝘁𝗼'𝘀 𝗟𝗮𝘄 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗝𝘂𝘀𝘁 𝗘𝗻𝗼𝘂𝗴𝗵 📚

Pareto's Law states that "that 80% of consequences come from 20% of the causes".

This law should serve as a guiding framework for the volume of content you need to know to be proficient in data science.

Often rookies make the mistake of overspending their time learning algorithms that are rarely applied in production. Learning about advanced algorithms such as XLNet, Bayesian SVD++, and BiLSTMs, are cool to learn.

But, in reality, you will rarely apply such algorithms in production (unless your job demands research and application of state-of-the-art algos).

For most ML applications in production - especially in the MVP phase, simple algos like logistic regression, K-Means, random forest, and XGBoost provide the biggest bang for the buck because of their simplicity in training, interpretation and productionization.

So, invest more time learning topics that provide immediate value now, not a year later.

𝟮. 𝗙𝗶𝗻𝗱 𝗮 𝗠𝗲𝗻𝘁𝗼𝗿 ⚡️

There’s a Japanese proverb that says “Better than a thousand days of diligent study is one day with a great teacher.” This proverb directly applies to learning data science quickly.

Mentors can teach you about how to build a model in production and how to manage stakeholders - stuff that you don’t often read about in courses and books.

So, find a mentor who can teach you practical knowledge in data science.

𝟯. 𝗗𝗲𝗹𝗶𝗯𝗲𝗿𝗮𝘁𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 ✍️

If you are serious about growing your excelling in data science, you have to put in the time to nurture your knowledge. This means that you need to spend less time watching mindless videos on TikTok and spend more time reading books and watching video lectures.

Join https://t.me/DataScienceResourcesTP for more

ENJOY LEARNING 👍👍

WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

5 Game-Changing Habits to Master Your Data Science Journey

Read Here: https://dev.to/justdetermined/5-game-changing-habits-to-master-your-data-science-journey-2nd4

Remote Senior Back-end Engineer (Platform) Needed at Circle

Company: Circle
Location: Fully Remote
Job Type: Full-time
Compensation: $130,000 - $140,000 USD per year

- Strong proficiency in Ruby on Rails, MySQL/Postgresql
- Familiarity with frontend technologies (ReactJS, TypeScript)

Check Here: https://kenyatrends.co.ke/remote-senior-back-end-engineer-platform-needed-at-circle/

Hiring Fully Remote Mid Level Contract WordPress Developer (WooCommerce)

Apply Here: https://kenyatrends.co.ke/hiring-fully-remote-mid-level-contract-wordpress-developer-woocommerce/

🤖 About Machine Learning 101! 📚

🤔 What is Machine Learning?
📊 Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables computers to learn from data without being explicitly programmed.

🔍 How does Machine Learning work?
1️⃣ Data Collection 📁
2️⃣ Data Preprocessing 📊
3️⃣ Model Training 🤖
4️⃣ Model Testing 📝
5️⃣ Deployment 🚀

📈 Types of Machine Learning:
1️⃣ Supervised Learning 👨‍🏫
2️⃣ Unsupervised Learning 🤔
3️⃣ Reinforcement Learning 🏆

📍 Real-World Applications:
1️⃣ Healthcare: Disease diagnosis, patient care 🏥
2️⃣ Finance: Risk analysis, fraud detection 🏦
3️⃣ Virtual Assistants: Siri, Google Assistant 📱
4️⃣ Autonomous Vehicles: Self-driving cars 🚗
5️⃣ Marketing: Personalized recommendations 📈

🤔 Quiz Time!

What type of ML is used in image recognition?
1) Supervised Learning
2) Unsupervised Learning
3) Reinforcement Learning
Answer by react🥳

#MachineLearning #AI #DataScience #Innovation

Unsupervised Learning Cheatsheet: t.me/MachineLearningResourcesTP/6

30th 🖥 Jan 2025 Free Udemy Coupons New Coupons Added

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#01 Become A Certified Python Programmer: Python Practice Tests
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#07 FastAPI Interview Test for Python Developers 2025
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Multiple Tech Roles at GR8Tech
1. Middle QA Automation Engineer (Java)
2. Senior DevOps Engineer
3. Middle Project Manager for Data Platform Team
4. Middle DevOps Engineer
5. Junior Product Manager
6. Middle Application Security Engineer

Apply Here: https://kenyatrends.co.ke/multiple-tech-roles-at-gr8tech/

.NET Developers Needed at GR8

1. Middle .Net Developer for Wallet Team
2. Middle .Net Developer for Payments Team
3. Middle .Net Developer for Sport Team

Apply Here: https://kenyatrends.co.ke/net-developers-needed-at-gr8/

Remote Design Roles at GR8 Tech

1. Middle Graphic Designer
2. Product Designer
3. Brand Design Manager

Apply Here: https://kenyatrends.co.ke/remote-design-roles-at-gr8-tech/

30th 🖥 Jan 2025 Free Udemy Coupons New Coupons Added

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#06 JavaScript And PHP Programming Complete Course
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#07 Complete jQuery Course: Learn From Beginner To Advanced
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#08 Web Design Course For Beginner to Advanced
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📚 Title: 100 Page Python Intro (2025)

ChatGPT Cheat Sheet for Business - DataCamp

Unlock the full potential of AI with our comprehensive ChatGPT Cheat Sheet for Business! Tailored specifically for professionals and entrepreneurs, this guide offers actionable insights on leveraging ChatGPT to streamline workflows, enhance customer interactions, and drive business growth. Whether you're a marketing specialist, project manager, or CEO, this cheat sheet is your go-to resource for mastering conversational AI.

From crafting compelling content to automating routine tasks, learn how to harness the power of ChatGPT in real-world business scenarios. With clear examples and step-by-step instructions, you’ll be able to integrate ChatGPT seamlessly into your operations, improving efficiency and innovation.

Don’t miss out on staying ahead of the competition by embracing the future of AI-driven solutions!

Tg: https://t.me/AIResourcesTP

📚 Title: Python For Large Language Models (2025)

Title: ChatGPT Cheat Sheet for Data Science (2025)
Source: DataCamp

Description:
This comprehensive cheat sheet serves as an essential guide for leveraging ChatGPT in data science workflows. Designed for both beginners and seasoned practitioners, it provides actionable prompts, code examples, and best practices to streamline tasks such as data generation, analysis, modeling, and automation. Key features include:
- Code Generation: Scripts for creating sample datasets in Python using Pandas and NumPy
- Data Analysis: Techniques for exploratory data analysis (EDA), hypothesis testing, and predictive modeling, including visualization recommendations.
- Machine Learning: Guidance on algorithm selection, hyperparameter tuning, and model interpretation.
- NLP Applications: Tools for text classification, sentiment analysis, and named entity recognition, leveraging ChatGPT’s natural language processing capabilities .

Tg: https://t.me/AIResourcesTP

When multiple developers work on the same project, maintaining a well-structured codebase is crucial. Without proper organization, understanding and modifying the code becomes increasingly difficult.

Here’s why structure matters

🔹 Clear Naming Conventions

Function names should clearly indicate their purpose. For example, if a function fetches data from the backend, naming it fetchSomething() immediately conveys its role. This improves readability and reduces confusion.

🔹 Logical Folder Structure

Keeping related files together avoids unnecessary confusion. For instance, if you have a HeroSection inside the LandingPage, placing HeroSection.tsx along with its components inside the same folder can create a mess. Instead, organize components into separate, specific folders to improve maintainability.

🔹 Frontend & Backend Coordination

Imagine working on the frontend where the previous developer structured the data one way, but the backend provides a different format. This misalignment leads to inefficiencies and unnecessary work. Clear communication between frontend and backend teams is essential to ensure seamless integration.

By following these best practices, we can create a clean, scalable, and collaborative codebase—making it easier for anyone to contribute.

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