How to send follow up email to a recruiter 👇👇

Dear [Recruiter’s Name],

I hope this email finds you doing well. I wanted to take a moment to express my sincere gratitude for the time and consideration you have given me throughout the recruitment process for the [position] role at [company].

I understand that you must be extremely busy and receive countless applications, so I wanted to reach out and follow up on the status of my application. If it’s not too much trouble, could you kindly provide me with any updates or feedback you may have?

I want to assure you that I remain genuinely interested in the opportunity to join the team at [company] and I would be honored to discuss my qualifications further. If there are any additional materials or information you require from me, please don’t hesitate to let me know.

Thank you for your time and consideration. I appreciate the effort you put into recruiting and look forward to hearing from you soon.

Warmest regards,

(Tap to copy)

If you want to Excel as a Data Analyst, master these powerful skills:

• SQL Queries – SELECT, JOINs, GROUP BY, CTEs, Window Functions
• Excel Functions – VLOOKUP, XLOOKUP, PIVOT TABLES, POWER QUERY
• Data Cleaning – Handle missing values, duplicates, and inconsistencies
• Python for Data Analysis – Pandas, NumPy, Matplotlib, Seaborn
• Data Visualization – Create dashboards in Power BI/Tableau
• Statistical Analysis – Hypothesis testing, correlation, regression
• ETL Process – Extract, Transform, Load data efficiently
• Business Acumen – Understand industry-specific KPIs
• A/B Testing – Data-driven decision-making
• Storytelling with Data – Present insights effectively

Like it if you need a complete tutorial on all these topics! 👍❤️

Clean code advice for Python:

Do not add redundant context.
Avoid adding unnecessary data to variable names, especially when working with classes.

Example:

This is bad:

class Person:
    def __init__(self, person_first_name, person_last_name, person_age):
        self.person_first_name = person_first_name
        self.person_last_name = person_last_name
        self.person_age = person_age

This is good:

class Person:
    def __init__(self, first_name, last_name, age):
        self.first_name = first_name
        self.last_name = last_name
        self.age = age

Roadmap to become a Programmer:

📂 Learn Programming Fundamentals (Logic, Syntax, Flow)
∟📂 Choose a Language (Python / Java / C++)
∟📂 Learn Data Structures & Algorithms
∟📂 Learn Problem Solving (LeetCode / HackerRank)
∟📂 Learn OOPs & Design Patterns
∟📂 Learn Version Control (Git & GitHub)
∟📂 Learn Debugging & Testing
∟📂 Work on Real-World Projects
∟📂 Contribute to Open Source
∟✅ Apply for Job / Internship

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Oldest Programming Languages Still in Use Today 🕰️

📜 Fortran (1957) – Still used in scientific computing
🤖 Lisp (1958) – Powering AI since the start
💼 COBOL (1959) – Running banks & ATMs
🖥 C (1972) – The godfather of modern languages
🗣 Prolog (1972) – Logic programming OG

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7 Most Popular Programming Languages in 2025

1. Python

The Jack of All Trades

Why it's loved: Simple syntax, huge community, beginner-friendly.

Used for: Data Science, Machine Learning, Web Development, Automation.

Who uses it: Data analysts, backend developers, researchers, even kids learning to code.


2. JavaScript

The Language of the Web

Why it's everywhere: Runs in every browser, now also on servers (Node.js).

Used for: Frontend & backend web apps, interactive UI, full-stack apps.

Who uses it: Web developers, app developers, UI/UX enthusiasts.


3. Java

The Enterprise Backbone

Why it stands strong: Portable, secure, scalable — runs on everything from desktops to Android devices.

Used for: Android apps, enterprise software, backend systems.

Who uses it: Large corporations, Android developers, system architects.


4. C/C++

The Power Players

Why they matter: Super fast, close to the hardware, great for performance-critical apps.

Used for: Game engines, operating systems, embedded systems.

Who uses it: System programmers, game developers, performance-focused engineers.


5. C#

Microsoft’s Darling

Why it's growing: Built into the .NET ecosystem, great for Windows apps and games.

Used for: Desktop applications, Unity game development, enterprise tools.

Who uses it: Game developers, enterprise app developers, Windows lovers.


6. SQL

The Language of Data

Why it’s essential: Every application needs a database — SQL helps you talk to it.

Used for: Querying databases, reporting, analytics.

Who uses it: Data analysts, backend devs, business intelligence professionals.


7. Go (Golang)

The Modern Minimalist

Why it’s rising: Simple, fast, and built for scale — ideal for cloud-native apps.

Used for: Web servers, microservices, distributed systems.

Who uses it: Backend engineers, DevOps, cloud developers.

Free Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

👨‍💻 FREE Resources to Learn & Practice Python

1. https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course
2. https://www.hackerrank.com/domains/python
3. https://www.hackerearth.com/practice/python/getting-started/numbers/practice-problems/
4. https://learnpython.org/
5. https://www.w3schools.com/python/python_exercises.asp
6. https://t.iss.one/pythonfreebootcamp/134
7. https://t.iss.one/pythonanalyst/26
8. https://pythonbasics.org/exercises/
9. https://t.iss.one/pythondevelopersindia/300
10. https://docs.python.org/3/
11. https://t.iss.one/pythonspecialist/33

Join @free4unow_backup for more free resources

ENJOY LEARNING 👍👍

A–Z list of programming languages

A – Assembly
Low-level language used to communicate directly with hardware.

B – BASIC
Beginner’s All-purpose Symbolic Instruction Code – great for early learning.

C – C
Powerful systems programming language used in OS, embedded systems.

D – Dart
Used primarily for Flutter to build cross-platform mobile apps.

E – Elixir
Functional language for scalable, maintainable applications.

F – Fortran
One of the oldest languages, still used in scientific computing.

G – Go (Golang)
Developed by Google, known for its simplicity and performance.

H – Haskell
Purely functional language used in academia and finance.

I – Io
Minimalist prototype-based language with a small syntax.

J – Java
Versatile, object-oriented, used in enterprise, Android, and web apps.

K – Kotlin
Modern JVM language, official for Android development.

L – Lua
Lightweight scripting language often used in game development.

M – MATLAB
Designed for numerical computing and simulations.

N – Nim
Statically typed compiled language that is fast and expressive.

O – Objective-C
Used mainly for macOS and iOS development (pre-Swift era).

P – Python
Beginner-friendly, widely used in data science, web, AI, automation.

Q – Q#
Quantum programming language developed by Microsoft.

R – Ruby
Elegant syntax, used in web development (especially Rails framework).

S – Swift
Apple’s modern language for iOS, macOS development.

T – TypeScript
Superset of JavaScript adding static types, improving large-scale JS apps.

U – Unicon
Language combining goal-directed evaluation with object-oriented features.

V – V
Simple, fast language designed for safety and readability.

W – Wolfram Language
Used in Mathematica, powerful for symbolic computation and math.

X – Xojo
Cross-platform app development language with a VB-like syntax.

Y – Yorick
Used in scientific simulations and numerical computation.

Z – Zig
Low-level, safe language for systems programming, alternative to C.

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5 Debugging Tips Every Developer Should Know 🐞

1️⃣ Reproduce the bug consistently
2️⃣ Read error messages carefully
3️⃣ Use print/log statements strategically
4️⃣ Break the problem into smaller parts
5️⃣ Use a debugger or breakpoints

React ❤️ For More!

Coding Project Ideas with AI 👇👇

1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.

2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.

3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.

4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.

5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.

6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.

7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.

8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.

9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.

10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.

Join for more: https://t.iss.one/Programming_experts

ENJOY LEARNING 👍👍

Here are 50 JavaScript Interview Questions and Answers for 2025:

What is JavaScript? JavaScript is a lightweight, interpreted programming language primarily used to create interactive and dynamic web pages. It's part of the core technologies of the web, along with HTML and CSS.

What are the data types in JavaScript? JavaScript has the following data types:
Primitive: String, Number, Boolean, Null, Undefined, Symbol, BigInt
Non-primitive: Object, Array, Function

What is the difference between null and undefined?
null is an assigned value representing no value.
undefined means a variable has been declared but not assigned a value.

Explain the concept of hoisting in JavaScript. Hoisting is JavaScript's default behavior of moving declarations to the top of the scope before code execution. var declarations are hoisted and initialized as undefined; let and const are hoisted but not initialized.

What is a closure in JavaScript? A closure is a function that retains access to its lexical scope, even when the function is executed outside of that scope.

What is the difference between “==” and “===” operators in JavaScript?
== checks for value equality (performs type coercion)
=== checks for value and type equality (strict equality)

Explain the concept of prototypal inheritance in JavaScript. Objects in JavaScript can inherit properties from other objects using the prototype chain. Every object has an internal link to another object called its prototype.

What are the different ways to define a function in JavaScript?
Function declaration: function greet() {}
Function expression: const greet = function() {}
Arrow function: const greet = () => {}

How does event delegation work in JavaScript? Event delegation uses event bubbling by attaching a single event listener to a parent element that handles events triggered by its children.

What is the purpose of the “this” keyword in JavaScript? this refers to the object that is executing the current function. Its value depends on how the function is called.

What are the different ways to create objects in JavaScript?
Object literals: const obj = {}
Constructor functions
Object.create()
Classes

Explain the concept of callback functions in JavaScript. A callback is a function passed as an argument to another function and executed after some operation is completed.

What is event bubbling and event capturing in JavaScript?
Bubbling: event goes from target to root.
Capturing: event goes from root to target. JavaScript uses bubbling by default.

What is the purpose of the “bind” method in JavaScript? The bind() method creates a new function with a specified this context and optional arguments.

Explain the concept of AJAX in JavaScript. AJAX (Asynchronous JavaScript and XML) allows web pages to be updated asynchronously by exchanging data with a server behind the scenes.

What is the “typeof” operator used for? The typeof operator returns a string indicating the type of a given operand.

How does JavaScript handle errors and exceptions? Using try...catch...finally blocks. Errors can also be thrown manually using throw.

Explain the concept of event-driven programming in JavaScript. Event-driven programming is a paradigm where the flow is determined by events such as user actions, sensor outputs, or messages.

What is the purpose of the “async” and “await” keywords in JavaScript? They simplify working with promises, allowing asynchronous code to be written like synchronous code.

What is the difference between a deep copy and a shallow copy in JavaScript?
Shallow copy copies top-level properties.
Deep copy duplicates all nested levels.

How does JavaScript handle memory management? JavaScript uses garbage collection to manage memory. It frees memory that is no longer referenced.

Explain the concept of event loop in JavaScript. The event loop handles asynchronous operations. It takes tasks from the queue and pushes them to the call stack when it is empty.

Randomized experiments are the gold standard for measuring impact. Here’s how to measure impact with randomized trials. 👇

𝟏. 𝐃𝐞𝐬𝐢𝐠𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭
Planning the structure and methodology of the experiment, including defining the hypothesis, selecting metrics, and conducting a power analysis to determine sample size.
⤷ Ensures the experiment is well-structured and statistically sound, minimizing bias and maximizing reliability.

𝟐. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐕𝐚𝐫𝐢𝐚𝐧𝐭𝐬
Creating different versions of the intervention by developing and deploying the control (A) and treatment (B) versions.
⤷ Allows for a clear comparison between the current state and the proposed change.

𝟑. 𝐂𝐨𝐧𝐝𝐮𝐜𝐭 𝐓𝐞𝐬𝐭
Choosing the right statistical test and calculating test statistics, such as confidence intervals, p-values, and effect sizes.
⤷ Ensures the results are statistically valid and interpretable.

𝟒. 𝐀𝐧𝐚𝐥𝐲𝐳𝐞 𝐑𝐞𝐬𝐮𝐥𝐭𝐬
Evaluating the data collected from the experiment, interpreting confidence intervals, p-values, and effect sizes to determine statistical significance and practical impact.
⤷ Helps determine whether the observed changes are meaningful and should be implemented.

𝟓. 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐅𝐚𝐜𝐭𝐨𝐫𝐬
⤷ Network Effects: User interactions affecting experiment outcomes.
⤷ P-Hacking: Manipulating data for significant results.
⤷ Novelty Effects: Temporary boost from new features.

Hope this helps you 😊