REMOTE(Europe, Middle East, Africa)Remote (EMEA) Senior Data Analyst, Strategic Marketing Job at Deel.
Apply Here:
https://kenyatrends.co.ke/10vw
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Best Resource to Learn Artificial Intelligence (AI) For Free ๐๐
https://ai.google/education/
https://t.me/aiesourcestp/16
https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
https://i.am.ai/roadmap
https://microsoft.github.io/AI-For-Beginners
https://www.udemy.com/course/introduction-to-ai-for-business/
ENJOY LEARNING ๐๐
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
https://ai.google/education/
https://t.me/aiesourcestp/16
https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
https://i.am.ai/roadmap
https://microsoft.github.io/AI-For-Beginners
https://www.udemy.com/course/introduction-to-ai-for-business/
ENJOY LEARNING ๐๐
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
These are the Top 5 Most Common SQL Questions for Data Engineering:
1. Total records after joining two tables on all types of joins
2. Rolling Sum and Nth salary based questions
3. Lag/Lead based questions e.g., consecutive months of increasing sales or YoY growth
4. Query to find employees who earn more than their managers
5. Removing duplicates from a table
Key Takeaways:
- Master window functions and joins
- Practice medium to hard SQL questions regularly
Getting good at SQL will pay off in the long run! ๐ช
Join our WhatsApp channel for More Data Engineering Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Total records after joining two tables on all types of joins
2. Rolling Sum and Nth salary based questions
3. Lag/Lead based questions e.g., consecutive months of increasing sales or YoY growth
4. Query to find employees who earn more than their managers
5. Removing duplicates from a table
Key Takeaways:
- Master window functions and joins
- Practice medium to hard SQL questions regularly
Getting good at SQL will pay off in the long run! ๐ช
Join our WhatsApp channel for More Data Engineering Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐1
Power BI Learning Plan in 2025
|-- Week 1: Introduction to Power BI
| |-- Power BI Basics
| | |-- What is Power BI?
| | |-- Components of Power BI
| | |-- Power BI Desktop vs. Power BI Service
| |-- Setting up Power BI
| | |-- Installing Power BI Desktop
| | |-- Overview of the Interface
| | |-- Connecting to Data Sources
| |-- First Power BI Report
| | |-- Creating a Simple Report
| | |-- Basic Visualizations
|
|-- Week 2: Data Transformation and Modeling
| |-- Power Query Editor
| | |-- Importing and Shaping Data
| | |-- Applied Steps
| |-- Data Modeling
| | |-- Relationships
| | |-- Calculated Columns and Measures
| | |-- DAX Basics
| |-- Data Cleaning
| | |-- Handling Missing Data
| | |-- Data Types and Formatting
|
|-- Week 3: Advanced DAX and Data Modeling
| |-- Advanced DAX Functions
| | |-- Time Intelligence
| | |-- Iterators
| | |-- Filter Functions
| |-- Advanced Data Modeling
| | |-- Star and Snowflake Schemas
| | |-- Role-playing Dimensions
| |-- Performance Optimization
| | |-- Query Performance
| | |-- Model Performance
|
|-- Week 4: Visualizations and Reports
| |-- Advanced Visualizations
| | |-- Custom Visuals
| | |-- Conditional Formatting
| | |-- Interactive Elements
| |-- Report Design
| | |-- Designing for Clarity
| | |-- Using Themes
| | |-- Report Navigation
| |-- Power BI Service
| | |-- Publishing Reports
| | |-- Workspaces and Apps
| | |-- Sharing and Collaboration
|
|-- Week 5: Dashboards and Data Analysis
| |-- Creating Dashboards
| | |-- Pinning Visuals
| | |-- Dashboard Tiles
| | |-- Alerts
| |-- Data Analysis Techniques
| | |-- Drillthrough
| | |-- Bookmarks
| | |-- What-If Parameters
| |-- Advanced Analytics
| | |-- Quick Insights
| | |-- AI Visuals
|
|-- Week 6-8: Power BI and Other Tools
| |-- Power BI and Excel
| | |-- Excel Integration
| | |-- PowerPivot and PowerQuery
| | |-- Publishing from Excel
| |-- Power BI and R
| | |-- Using R Scripts in Power BI
| | |-- R Visuals
| |-- Power BI and Python
| | |-- Using Python Scripts
| | |-- Python Visuals
| |-- Power Automate and Power BI
| | |-- Automating Workflows
| | |-- Data Alerts and Actions
|
|-- Week 9-11: Real-world Applications and Projects
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing the Model
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- SQL Databases
| | |-- Azure Data Services
|
|-- Week 12: Post-Project Learning
| |-- Power BI Administration
| | |-- Data Governance
| | |-- Security
| | |-- Monitoring and Auditing
| |-- Power BI in the Cloud
| | |-- Power BI Premium
| | |-- Power BI Embedded
| |-- Continuing Education
| | |-- Advanced Power BI Topics
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|
|-- Resources and Community
| |-- Online Courses (Coursera, edX, Udacity)
| |-- Books (The Definitive Guide to DAX, Microsoft Power BI Cookbook)
| |-- Power BI Blogs and Resources
| |-- GitHub Repositories
| |-- Power BI Communities (Microsoft Power BI Community, Reddit)
You can refer these Power BI Interview Resources to learn more:
https://t.me/dataanalysisresourcestp/27
Like this post if you want me to continue this Power BI series ๐โฅ๏ธ
Hope it helps :)
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
|-- Week 1: Introduction to Power BI
| |-- Power BI Basics
| | |-- What is Power BI?
| | |-- Components of Power BI
| | |-- Power BI Desktop vs. Power BI Service
| |-- Setting up Power BI
| | |-- Installing Power BI Desktop
| | |-- Overview of the Interface
| | |-- Connecting to Data Sources
| |-- First Power BI Report
| | |-- Creating a Simple Report
| | |-- Basic Visualizations
|
|-- Week 2: Data Transformation and Modeling
| |-- Power Query Editor
| | |-- Importing and Shaping Data
| | |-- Applied Steps
| |-- Data Modeling
| | |-- Relationships
| | |-- Calculated Columns and Measures
| | |-- DAX Basics
| |-- Data Cleaning
| | |-- Handling Missing Data
| | |-- Data Types and Formatting
|
|-- Week 3: Advanced DAX and Data Modeling
| |-- Advanced DAX Functions
| | |-- Time Intelligence
| | |-- Iterators
| | |-- Filter Functions
| |-- Advanced Data Modeling
| | |-- Star and Snowflake Schemas
| | |-- Role-playing Dimensions
| |-- Performance Optimization
| | |-- Query Performance
| | |-- Model Performance
|
|-- Week 4: Visualizations and Reports
| |-- Advanced Visualizations
| | |-- Custom Visuals
| | |-- Conditional Formatting
| | |-- Interactive Elements
| |-- Report Design
| | |-- Designing for Clarity
| | |-- Using Themes
| | |-- Report Navigation
| |-- Power BI Service
| | |-- Publishing Reports
| | |-- Workspaces and Apps
| | |-- Sharing and Collaboration
|
|-- Week 5: Dashboards and Data Analysis
| |-- Creating Dashboards
| | |-- Pinning Visuals
| | |-- Dashboard Tiles
| | |-- Alerts
| |-- Data Analysis Techniques
| | |-- Drillthrough
| | |-- Bookmarks
| | |-- What-If Parameters
| |-- Advanced Analytics
| | |-- Quick Insights
| | |-- AI Visuals
|
|-- Week 6-8: Power BI and Other Tools
| |-- Power BI and Excel
| | |-- Excel Integration
| | |-- PowerPivot and PowerQuery
| | |-- Publishing from Excel
| |-- Power BI and R
| | |-- Using R Scripts in Power BI
| | |-- R Visuals
| |-- Power BI and Python
| | |-- Using Python Scripts
| | |-- Python Visuals
| |-- Power Automate and Power BI
| | |-- Automating Workflows
| | |-- Data Alerts and Actions
|
|-- Week 9-11: Real-world Applications and Projects
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing the Model
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- SQL Databases
| | |-- Azure Data Services
|
|-- Week 12: Post-Project Learning
| |-- Power BI Administration
| | |-- Data Governance
| | |-- Security
| | |-- Monitoring and Auditing
| |-- Power BI in the Cloud
| | |-- Power BI Premium
| | |-- Power BI Embedded
| |-- Continuing Education
| | |-- Advanced Power BI Topics
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|
|-- Resources and Community
| |-- Online Courses (Coursera, edX, Udacity)
| |-- Books (The Definitive Guide to DAX, Microsoft Power BI Cookbook)
| |-- Power BI Blogs and Resources
| |-- GitHub Repositories
| |-- Power BI Communities (Microsoft Power BI Community, Reddit)
You can refer these Power BI Interview Resources to learn more:
https://t.me/dataanalysisresourcestp/27
Like this post if you want me to continue this Power BI series ๐โฅ๏ธ
Hope it helps :)
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
REMOTERemote Frontend Engineer I (with Contentful experience) Job at Outliant
Fully Remote (Worldwide)
Apply Here:
https://kenyatrends.co.ke/h1qf
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Learn Data Science in 2025
๐ญ. ๐๐ฝ๐ฝ๐น๐ ๐ฃ๐ฎ๐ฟ๐ฒ๐๐ผ'๐ ๐๐ฎ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐๐ ๐๐ป๐ผ๐๐ด๐ต ๐
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.
๐ฎ. ๐๐ถ๐ป๐ฑ ๐ฎ ๐ ๐ฒ๐ป๐๐ผ๐ฟ โก๏ธ
Thereโs a Japanese proverb that says โBetter than a thousand days of diligent study is one day with a great teacher.โ 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 donโt often read about in courses and books.
So, find a mentor who can teach you practical knowledge in data science.
๐ฏ. ๐๐ฒ๐น๐ถ๐ฏ๐ฒ๐ฟ๐ฎ๐๐ฒ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ๏ธ
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 ๐๐
WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐ญ. ๐๐ฝ๐ฝ๐น๐ ๐ฃ๐ฎ๐ฟ๐ฒ๐๐ผ'๐ ๐๐ฎ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐๐๐ ๐๐ป๐ผ๐๐ด๐ต ๐
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.
๐ฎ. ๐๐ถ๐ป๐ฑ ๐ฎ ๐ ๐ฒ๐ป๐๐ผ๐ฟ โก๏ธ
Thereโs a Japanese proverb that says โBetter than a thousand days of diligent study is one day with a great teacher.โ 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 donโt often read about in courses and books.
So, find a mentor who can teach you practical knowledge in data science.
๐ฏ. ๐๐ฒ๐น๐ถ๐ฏ๐ฒ๐ฟ๐ฎ๐๐ฒ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ๏ธ
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 ๐๐
WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
๐๐ง๐ฌ๐ฉ๐ข๐ซ๐๐ญ๐ข๐จ๐ง ๐ข๐ฌ ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐ข๐ง ๐๐ ๐๐๐ฌ๐ข๐ ๐ง
since it allows designers to come up with new and unique concepts. It keeps designs fresh and relevant to current trends. Designers can create user-friendly and beautiful interfaces by taking inspiration from other designs.
๐๐๐๐ฌ๐ข๐ญ๐๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ข๐ ๐ง ๐ข๐ง๐ฌ๐ฉ๐ข๐ซ๐๐ญ๐ข๐จ๐ง โจ
๐๐๐ซ๐ค ๐๐๐ฌ๐ข๐ ๐ง : Dark Design uses dark backgrounds with light text, offering a modern look, reducing eye strain, and saving battery on OLED screens.
๐๐จ๐๐๐ข๐ง : Mobbin is a design platform with a library of UI/UX patterns for trend exploration and inspiration.
๐๐๐ฉ๐ ๐๐ข๐ง๐ฃ๐ : Lapa is a design inspiration platform featuring top landing page designs, Ul patterns, and web trends.
๐๐๐ง๐๐๐จ๐จ๐ค : Land-book is a platform featuring curated website designs for creative inspiration. Explore layouts, typography, and trends.
Best Youtube Channels for UX/UI
https://t.me/designresourcestp/11
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
since it allows designers to come up with new and unique concepts. It keeps designs fresh and relevant to current trends. Designers can create user-friendly and beautiful interfaces by taking inspiration from other designs.
๐๐๐๐ฌ๐ข๐ญ๐๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ข๐ ๐ง ๐ข๐ง๐ฌ๐ฉ๐ข๐ซ๐๐ญ๐ข๐จ๐ง โจ
๐๐๐ซ๐ค ๐๐๐ฌ๐ข๐ ๐ง : Dark Design uses dark backgrounds with light text, offering a modern look, reducing eye strain, and saving battery on OLED screens.
๐๐จ๐๐๐ข๐ง : Mobbin is a design platform with a library of UI/UX patterns for trend exploration and inspiration.
๐๐๐ฉ๐ ๐๐ข๐ง๐ฃ๐ : Lapa is a design inspiration platform featuring top landing page designs, Ul patterns, and web trends.
๐๐๐ง๐๐๐จ๐จ๐ค : Land-book is a platform featuring curated website designs for creative inspiration. Explore layouts, typography, and trends.
Best Youtube Channels for UX/UI
https://t.me/designresourcestp/11
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
Color Resources for Designers
REMOTERemote UX Product Designer / Engineer Job at Enveritas
Fully Remote (Worldwide)
Apply Here:
https://kenyatrends.co.ke/9vnt
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
Why to use Flutter?
I recently encountered a question with this kind of sublimation: "Flutter is an interesting thing. But. If it were in swift, then I would use it. But Dart is an inconvenient and unreadable language. And swift... Anyway, do you think I should make an app in Flutter, or make it in swift for iOS, and then hire a developer for Android?"
Let's not speculate about which language is more readable and better. Everyone has their own truth here. Let's say this: a language is a tool, a framework is a tool. For Flutter, you'll have to use Dart anyway, there's nothing you can do about it. But for business, for example, it doesn't make much difference whether you write on swift with pure iOS or on Flutter and Dart. It cares about making an app so that it can make money.
Of course, the business may care how much money it costs to hire a second development team if we made an iOS app in swift and now decide to add Android as well. It may also be concerned about the speed of development, and Flutter is much faster than other frameworks and tools. But these are all business factors, not the whims of developers. In the end, it is always necessary to rely on the needs of the business. Is it a priority to launch as quickly as possible? No platform-specific features? A small budget? All of these are red flags that you need to use Flutter (or something similar, albeit a little more expensive, but more native, like Xamarin).
I didn't understand it 100% myself. But recently I've been invited to business meetings with a client from time to time. The discussions there remind me: we're still writing a product, not just code. Yes, Flutter is a wonderful and handy thing. But sometimes it's more inconvenient and expensive to use than something native. So if the business suddenly say that it's time to move to Kotlin + swift, and it will be justified from the business point of view, then that's what you should do.
Building Better Apps ๐ https://t.me/mobiledevresourcestp/47
I recently encountered a question with this kind of sublimation: "Flutter is an interesting thing. But. If it were in swift, then I would use it. But Dart is an inconvenient and unreadable language. And swift... Anyway, do you think I should make an app in Flutter, or make it in swift for iOS, and then hire a developer for Android?"
Let's not speculate about which language is more readable and better. Everyone has their own truth here. Let's say this: a language is a tool, a framework is a tool. For Flutter, you'll have to use Dart anyway, there's nothing you can do about it. But for business, for example, it doesn't make much difference whether you write on swift with pure iOS or on Flutter and Dart. It cares about making an app so that it can make money.
Of course, the business may care how much money it costs to hire a second development team if we made an iOS app in swift and now decide to add Android as well. It may also be concerned about the speed of development, and Flutter is much faster than other frameworks and tools. But these are all business factors, not the whims of developers. In the end, it is always necessary to rely on the needs of the business. Is it a priority to launch as quickly as possible? No platform-specific features? A small budget? All of these are red flags that you need to use Flutter (or something similar, albeit a little more expensive, but more native, like Xamarin).
I didn't understand it 100% myself. But recently I've been invited to business meetings with a client from time to time. The discussions there remind me: we're still writing a product, not just code. Yes, Flutter is a wonderful and handy thing. But sometimes it's more inconvenient and expensive to use than something native. So if the business suddenly say that it's time to move to Kotlin + swift, and it will be justified from the business point of view, then that's what you should do.
Building Better Apps ๐ https://t.me/mobiledevresourcestp/47
Business Idea
"Offer subscription-based services."
If you have a product or service people use regularly, turn it into a subscription model. For example, offer monthly financial consultation or exclusive crypto insights for a small fee. Subscriptions create steady, recurring revenue.
"Offer subscription-based services."
If you have a product or service people use regularly, turn it into a subscription model. For example, offer monthly financial consultation or exclusive crypto insights for a small fee. Subscriptions create steady, recurring revenue.
How long are coding interviews?
The phone screen portion of the coding interview typically lasts up to one hour. The second, more technical part of the interview can take multiple hours.
Where can I practice coding?
There are many ways to practice coding and prepare for your coding interview. LeetCode provides practice opportunities in more than 14 languages and more than 1,500 sample problems. Applicants can also practice their coding skills and interview prep with HackerRank.
How do I know if my coding interview went well?
There are a variety of indicators that your coding interview went well. These may include going over the allotted time, being introduced to additional team members, and receiving a quick response to your thank you email.
Free Havard Courses to Prepare for Interview: http://bit.ly/3F63MVZ
Best Resources for Tech Interviews: https://t.me/TechPsyche/458
More Interview Tips Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
The phone screen portion of the coding interview typically lasts up to one hour. The second, more technical part of the interview can take multiple hours.
Where can I practice coding?
There are many ways to practice coding and prepare for your coding interview. LeetCode provides practice opportunities in more than 14 languages and more than 1,500 sample problems. Applicants can also practice their coding skills and interview prep with HackerRank.
How do I know if my coding interview went well?
There are a variety of indicators that your coding interview went well. These may include going over the allotted time, being introduced to additional team members, and receiving a quick response to your thank you email.
Free Havard Courses to Prepare for Interview: http://bit.ly/3F63MVZ
Best Resources for Tech Interviews: https://t.me/TechPsyche/458
More Interview Tips Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
--- Git Commands ---
๐ git init | Initialize a new Git repository
๐ git clone <repo> | Clone a repository
๐ git status | Check the status of your repository
โ git add <file> | Add a file to the staging area
๐ git commit -m "message" | Commit changes with a message
๐ git push | Push changes to a remote repository
โฌ๏ธ git pull | Fetch and merge changes from a remote repository
--- Branching ---
๐ฟ git branch | List branches
๐ฑ git branch <name> | Create a new branch
๐ git checkout <branch> | Switch to a branch
๐ง git merge <branch> | Merge a branch into the current branch
๐ git rebase <branch> | Reapply commits on top of another base branch
--- Undo & Fix Mistakes ---
๐ git reset --soft HEAD~1 | Undo last commit but keep changes
๐ซ git reset --hard HEAD-1 | Undo last commit and discard changes
โช git revert <commit> | Create a new commit that undoes changes from a specific commit
--- Logs & History ---
๐ git log | Show commit history
๐ git log --oneline --graph --all | Pretty graph of commit history
--- Stashing ---
๐ git stash | Save changes without committing
๐ญ git stash pop | Apply stashed changes and remove them from stash
--- Remote & Collaboration ---
๐ git remote -v | View remote repositories
๐ก git fetch | Fetch changes without merging
๐ต๏ธ git diff | Compare changes
Git Merge vs Git Rebase: https://t.me/techpsyche/734
Git & Github: https://t.me/techpsyche/858
๐ git init | Initialize a new Git repository
๐ git clone <repo> | Clone a repository
๐ git status | Check the status of your repository
โ git add <file> | Add a file to the staging area
๐ git commit -m "message" | Commit changes with a message
๐ git push | Push changes to a remote repository
โฌ๏ธ git pull | Fetch and merge changes from a remote repository
--- Branching ---
๐ฟ git branch | List branches
๐ฑ git branch <name> | Create a new branch
๐ git checkout <branch> | Switch to a branch
๐ง git merge <branch> | Merge a branch into the current branch
๐ git rebase <branch> | Reapply commits on top of another base branch
--- Undo & Fix Mistakes ---
๐ git reset --soft HEAD~1 | Undo last commit but keep changes
๐ซ git reset --hard HEAD-1 | Undo last commit and discard changes
โช git revert <commit> | Create a new commit that undoes changes from a specific commit
--- Logs & History ---
๐ git log | Show commit history
๐ git log --oneline --graph --all | Pretty graph of commit history
--- Stashing ---
๐ git stash | Save changes without committing
๐ญ git stash pop | Apply stashed changes and remove them from stash
--- Remote & Collaboration ---
๐ git remote -v | View remote repositories
๐ก git fetch | Fetch changes without merging
๐ต๏ธ git diff | Compare changes
Git Merge vs Git Rebase: https://t.me/techpsyche/734
Git & Github: https://t.me/techpsyche/858
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
How to Create a Responsive Screen That Supports All Devices in Flutter?
If you're developing an app with Flutter and want it to look great on all devices, whether small mobiles, tablets, or even large screens, you must rely on responsive design. In Flutter, you have several ways to achieve this easily and professionally.
1. Use MediaQuery
MediaQuery provides information about the current screen size and helps you adjust elements based on height and width.
2. Use LayoutBuilder
LayoutBuilder allows you to divide the screen based on available dimensions, which is very useful for changing the design according to the screen size.
3. Use the ScreenUtil library
ScreenUtil is a very powerful library for designing responsive interfaces easily. You need to add the library to your project:
4. Use Flex Widgets: such as Row and Column with Expanded or Flexible widgets to organize elements.
Always try to use dynamic ratios or values โโinstead of fixed numbers.
Test your app on different screen sizes using Device Preview.
Responsive design not only improves the experience, but also reflects the professionalism of the app. Whether you use MediaQuery, LayoutBuilder, or a library like ScreenUtil, the important thing is to ensure that your app will look its best on all devices! ๐
Why Use Flutter? ๐ https://t.me/mobiledevresourcestp/69
If you're developing an app with Flutter and want it to look great on all devices, whether small mobiles, tablets, or even large screens, you must rely on responsive design. In Flutter, you have several ways to achieve this easily and professionally.
1. Use MediaQuery
MediaQuery provides information about the current screen size and helps you adjust elements based on height and width.
2. Use LayoutBuilder
LayoutBuilder allows you to divide the screen based on available dimensions, which is very useful for changing the design according to the screen size.
3. Use the ScreenUtil library
ScreenUtil is a very powerful library for designing responsive interfaces easily. You need to add the library to your project:
4. Use Flex Widgets: such as Row and Column with Expanded or Flexible widgets to organize elements.
Always try to use dynamic ratios or values โโinstead of fixed numbers.
Test your app on different screen sizes using Device Preview.
Responsive design not only improves the experience, but also reflects the professionalism of the app. Whether you use MediaQuery, LayoutBuilder, or a library like ScreenUtil, the important thing is to ensure that your app will look its best on all devices! ๐
Why Use Flutter? ๐ https://t.me/mobiledevresourcestp/69
Remote Mobile Engineer(Cross-Platform) Job at Spruce
- Fully Remote (Worldwide)
Apply Here:
https://kenyatrends.co.ke/ibuu
Global Tech Jobs Here๐
https://t.me/techpsyche
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- Fully Remote (Worldwide)
Apply Here:
https://kenyatrends.co.ke/ibuu
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
๐ป Learn Computer Science from Harvard, Stanford, IBM, Microsoft, Google ๐ป
โฏ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/
โฏ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/
โฏ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum
โฏ Data Science
cognitiveclass.ai/courses/data-science-101
https://t.me/datascienceresourcestp
โฏ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07
Join for more: https://t.me/techpsyche
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
โฏ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/
โฏ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/
โฏ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum
โฏ Data Science
cognitiveclass.ai/courses/data-science-101
https://t.me/datascienceresourcestp
โฏ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07
Join for more: https://t.me/techpsyche
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐1
Business Lesson
"Don't fear failure; learn from it."
Every setback is an opportunity to refine your strategy and improve. Successful businesses grow through experimentation.
t.me/techpsyche
"Don't fear failure; learn from it."
Every setback is an opportunity to refine your strategy and improve. Successful businesses grow through experimentation.
t.me/techpsyche
If you have no connections, build them.
If you have no money, work, save, invest.
If you have no friend, be a better person.
If you have no talent, practice more.
If you have no idea, walk more.
If you have no confidence, commit more.
If you have no clarity, write more.
https://t.me/techpsyche
If you have no money, work, save, invest.
If you have no friend, be a better person.
If you have no talent, practice more.
If you have no idea, walk more.
If you have no confidence, commit more.
If you have no clarity, write more.
https://t.me/techpsyche
Forwarded from Java Resources TP
Java for Everything: โ๏ธ
Java + Spring = Enterprise Applications
Java + Hibernate = Object-Relational Mapping
Java + Android = Mobile App Development
Java + Swing = Desktop GUI Applications
Java + JavaFX = Modern GUI Applications
Java + JUnit = Unit Testing
Java + Maven = Project Management
Java + Jenkins = Continuous Integration
Java + Apache Kafka = Stream Processing
Java + Apache Hadoop = Big Data Processing
Java + Microservices = Scalable Services
Java Backend Development Courses
https://t.me/javaresourcestp/22
18 Most common used Java List methods
https://t.me/javaresourcestp/61
Java Roadmap
https://t.me/javaresourcestp/16
All the best ๐๐
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Java + Spring = Enterprise Applications
Java + Hibernate = Object-Relational Mapping
Java + Android = Mobile App Development
Java + Swing = Desktop GUI Applications
Java + JavaFX = Modern GUI Applications
Java + JUnit = Unit Testing
Java + Maven = Project Management
Java + Jenkins = Continuous Integration
Java + Apache Kafka = Stream Processing
Java + Apache Hadoop = Big Data Processing
Java + Microservices = Scalable Services
Java Backend Development Courses
https://t.me/javaresourcestp/22
18 Most common used Java List methods
https://t.me/javaresourcestp/61
Java Roadmap
https://t.me/javaresourcestp/16
All the best ๐๐
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
โค1
Remote QA Software Test Automation Engineer (Java) Job at XM
Apply Here:
https://kenyatrends.co.ke/6z4r
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Apply Here:
https://kenyatrends.co.ke/6z4r
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ