Skip to main content

Indian Olympic medalists

 MY BEST WISHES
Since it first participated in Olympic Games in 1900 at Paris, India has won 26 medals.
Of these, 9 are gold (8 in field hockey, 1 in shooting);
6 silver (2 in athletics, 1 in field hockey, 2 in shooting and 1 in wrestling); and 11 bronze.
Not much to boast about, really, but in a country that has no real, systematic sporting culture it is stirring to see some of its sons and daughters overcome great odds and succeed against the best in the world. What motivates these champions is awesome passion, immense talent, great mental strength and the burning desire to be the best that you can be. So here are India’s Olympic medal winners, who did the country proud and imparted further credibility to an Olympic motto: ‘The essence lies not in the victory, but also in the struggle’

India will return with its best-ever Olympics medal tally from the London Games. If there is anything missing, it is a gold and that has been somewhat made up by two silver medals out of a total of six.The performance of the Indians is indeed creditable as the expectations were also realistic, though some might argue that Indian men should have got medals from the boxing ring and the women from the archery arena.While shooting and wrestling led the charge with two medals each (one silver and one bronze in each of the disciplines), two other finishes on the podium were from badminton and women's boxing. India finished 55th on the medals table, 10 rungs higher than their count at Beijing
Labels:

Comments

Post a Comment

Popular posts from this blog

🧠 What is a Data Science Job?

A Data Scientist is like a detective who works with data instead of clues . Their job is to collect , clean , analyze , and interpret data to help companies make smart decisions. 📊 Key Roles & Responsibilities Collecting Data From websites, apps, sensors, databases, etc. Example: Getting data on how customers use an app. Cleaning Data Removing duplicate, missing, or incorrect entries. Like making sure the data is usable and correct. Analyzing Data Using statistical tools (like Excel, Python, R) Finding trends and patterns. Example: “Most customers buy on weekends.” Building Models (AI/ML) Predicting future outcomes using Machine Learning. Example: Predicting which customers might cancel a subscription. Communicating Results Making dashboards, charts, and reports. Explaining to management in a simple way. 💻 Skills Required Skill Purpose Python / R Programming languages for analysis SQL For accessing databases Excel / Tableau / Power BI For data visualization ...
Post a Comment
Read more

Creating AI-Powered Resume for Interviews

 Creating a resume with AI support can streamline the process, improve formatting, and optimize content for Applicant Tracking Systems (ATS). Here’s a step-by-step guide: ### **Step 1: Gather Your Information**   Before using AI tools, compile:   - Contact details (name, email, phone, LinkedIn)   - Work experience (job titles, companies, dates, key achievements)   - Education (degrees, institutions, certifications)   - Skills (technical, soft, tools)   - Projects, awards, or volunteer work (if relevant)   ### **Step 2: Choose an AI Resume Builder**   Popular AI-powered tools include:   - **Resume.com** / **Zety** – Templates + AI suggestions   - **Kickresume** – AI-generated content + ATS optimization   - **Rezi.ai** – Tailors resumes for job descriptions   - **ChatGPT** / **Gemini** – Helps draft bullet points or summaries   ### **Step 3: Input Details ...
Post a Comment
Read more

Stablecoin vs. Meme Coin: Key Differences Every Crypto Investor Should Know

 :   ### **1. Purpose & Function**    - **Stablecoin**: Designed for **stability**, pegged to a reserve asset (e.g., USD, gold, or another crypto). Used for trading, payments, and hedging against volatility.     *Examples: USDT, USDC, DAI*    - **Meme Coin**: Created for **hype, community, and speculation**, often with no real utility. Driven by social media trends and viral popularity.     *Examples: Dogecoin (DOGE), Shiba Inu (SHIB), Pepe (PEPE)*   ### **2. Price Stability**   - **Stablecoin**: Maintains a **fixed value** (e.g., $1 per coin). Low volatility.   - **Meme Coin**: **Extremely volatile**—prices can surge or crash rapidly based on hype.   ### **3. Backing & Security**   - **Stablecoin**: Backed by **fiat reserves, algorithms, or crypto collateral** (e.g., USDT is backed by USD reserves).   - **Meme Coin**: **No intrinsic backing**—value depen...
Post a Comment
Read more