Skip to main content

What are the best laptops for gaming and studies in India?

What are the best laptops for gaming and studies in India?


1)Acer Predator Helios 300 Gaming Laptop Intel Core i9 12th Gen - (Windows 11 Home/16 GB/1TB SSD/ NVIDIA RTX 3060/165Hz) PH315-55 with 39.6 Cm (15.6 Inches) QHD IPS Display





2)
ASUS ROG Zephyrus G14 (2022), 14.0-inch (35.56 cm) FHD+ 16:10 144Hz/3ms, AMD Ryzen 9 6900HS, 8GB RX 6700S Graphics, Gaming Laptop (16GB/1TB SSD/Windows 11/Office 2021/Gray/1.65 Kg), GA402RJZ-L4136WS





3)
HP Omen Intel Core i7 9th Gen 15.6 inches FHD, LED Gaming Laptop (16GB/1TB HDD + 512GB SSD/Windows 10/NVIDIA RTX 2070 8GB Graphics/Shadow Black, 2.9 kg) 15-dh0138TX





4)
Dell New G15 5521 SE Gaming Laptop, Intel i7-12700H, 16GB, 1TB SSD, NVIDIA RTX 3060 (6GB GDDR6), 15.6" (39.62Cms) QHD WVA AG 240 Hz 400 nits, Backlit KB RGB, Obsidian Black, 2.81Kgs (D560738WIN9B)





5)
2021 Flagship Lenovo Legion Y540 Gaming Laptop 15.6" FHD IPS 144Hz Display 9th Gen Intel Hexa-Core i7-9750H 16GB RAM 1TB SSD GeForce GTX 1660 Ti 6GB Backlit USB-C Dolby Win10 + iCarp HDMI Cable





6)
Acer Nitro 5 Gaming Laptop Intel Core i5-11400H 11th Gen Processor (8GB/512GB SSD/GTX 1650 4GB Graphics/Windows 11 Home/RGB), AN515-57 with 15.6"(39.6cms) FHD 144Hz Display + Xbox Game Pass Ultimate

Comments

Popular posts from this blog

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards Bookmarks and Selections in Power BI are powerful features that can significantly enhance the interactivity and user experience of dashboards. Here's how you can use them effectively: 1. What are Bookmarks in Power BI? Bookmarks capture the current state of a report page, including: Visible or hidden visuals Filter states Slicer selections Sort order, drill state, and focus mode By saving different views of your report with bookmarks, you can create interactive storytelling, custom navigation, and dynamic reports. 2. What is the Selection Pane? The Selection Pane lets you control the visibility of report visuals. Using the pane, you can: Show or hide visuals based on user actions Layer visuals in an orderly manner to control how users interact with them Combine with bookmarks to toggle the visibility of different report components 3. Use Cases for Bookmarks and Selections Here are some common scenarios ...

Top 15 Microsoft Fabric Interview Questions and Answers[2025]

Top 15 Microsoft Fabric Interview Questions and Answers[2025] 1. What is Microsoft Fabric? ✅ Answer: Microsoft Fabric is an end-to-end, unified analytics platform that integrates data engineering, data science, real-time analytics, and business intelligence. It is built on OneLake , a unified data storage system, and supports Power BI, Synapse, and Data Factory for seamless data management. 2. What are the key components of Microsoft Fabric? ✅ Answer: Microsoft Fabric consists of the following components: Data Factory – For data integration and ETL. Synapse Data Engineering – Supports Spark-based big data processing. Synapse Data Science – For AI/ML model development. Synapse Data Warehouse – Serverless and dedicated SQL-based data storage. Synapse Real-Time Analytics – Handles streaming and IoT data. Power BI – For business intelligence and visualization. OneLake – A single storage layer across all workloads. 3. How does Microsoft Fabric differ from Azure Synapse Analytics? ✅ A...