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𝟭. 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
• Linear Algebra - 3Blue1Brown: https://lnkd.in/ejApha3z
• Immersive Linear Algebra: https://lnkd.in/ekaUs4Wz
• Linear Algebra - KA: https://lnkd.in/emCEHTq5
• Calculas - KA: https://lnkd.in/emCEHTq5
• Statistics and Probability - KA: https://lnkd.in/e6_SirMr

𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
• Real Python: https://realpython.com
• Learn Python - freecodecamp: https://lnkd.in/ejfBftNf
• Python Data Science: https://lnkd.in/g4ZysfEe
• ML for Everybody: https://lnkd.in/ehR6xaGZ
• Intro to ML - udacity: https://lnkd.in/eVudd2Zm

𝟯. 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀
• Neural Networks explained: https://lnkd.in/ehsg362K
• Deep Learning Crash Course: https://lnkd.in/edgfWdEv
• Practical Deep Learning - fast_ai: https://course.fast.ai
• PyTorch Tutorials: https://lnkd.in/dNUfmaCm

𝟰. 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗡𝗟𝗣)
• RealPython - NLP with spaCy: https://lnkd.in/eqPbFf_d
• NLP Guide Kaggle: https://lnkd.in/eT2DsqdN
• Illustrated Word2vec by Jay: https://lnkd.in/e5wK5yg9
• PyTorch RNN from Scratch: https://lnkd.in/eJWj5fUH
• Understanding LSTMN: https://lnkd.in/ed9ZVBnf

𝟱. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
• ML Projects in Python: https://lnkd.in/eC_gG8WH
• Super Duper NLP Repo: notebooks.quantumstat.com

I hope you find this helpful.

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Cloud Computing and data storage terminology glossary

1. Control Plane 

The control plane provides management and orchestration across an organization's cloud environment. This is where configuration baselines are set, user and role access are provisioned, and applications sit so they can execute with related services.

2. Cloud computing service Types

IaaS, PaaS & SaaS

Within the cloud deployment models, there are several types of cloud services, including infrastructure, platforms, and software applications. Cloud service models are not mutually exclusive, and you can choose to use more than one in combination or even all of them at once.

Here are the three main cloud service models:
Infrastructure as a Service (IaaS)
IaaS delivers on-demand infrastructure resources, such as compute, storage, networking, and virtualization. With IaaS, the service provider owns and operates the infrastructure, but customers will need to purchase and manage software, such as operating systems, middleware, data, and applications.
Platform as a Service (PaaS)
PaaS delivers and manages hardware and software resources for developing, testing, delivering, and managing cloud applications. Providers typically offer middleware, development tools, and cloud databases within their PaaS offerings.
Software as a Service (SaaS)
SaaS provides a full application stack as a service that customers can access and use. SaaS solutions often come as ready-to-use applications, which are managed and maintained by the cloud service provider.
Serverless computing
Serverless computing in cloud service models is also called Function as a Service (FaaS). This is a relatively new cloud service model that provides solutions to build applications as simple, event-triggered functions without managing or scaling any infrastructure.

3. Containers

Containers are lightweight packages of your application code together with dependencies such as specific versions of programming language runtimes and libraries required to run your software services.
In this way, containers virtualize the operating system and run anywhere, from a private data center to the public cloud or even on a developer’s personal laptop. From Gmail to YouTube to Search, everything at Google runs in containers.

4. What are the benefits of containers?
Separation of responsibility
Containerization provides a clear separation of responsibility, as developers focus on application logic and dependencies, while IT operations teams can focus on deployment and management instead of application details such as specific software versions and configurations.
Workload portability
Containers can run virtually anywhere, greatly easing development and deployment: on Linux, Windows, and Mac operating systems; on virtual machines or on physical servers; on a developer’s machine or in data centers on-premises; and of course, in the public cloud.
Application isolation
Containers virtualize CPU, memory, storage, and network resources at the operating system level, providing developers with a view of the OS logically isolated from other applications.

5. Kubernetes
Kubernetes, also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications.

It groups containers that make up an application into logical units for easy management and discovery.

6. Virtual Machines

A virtual machine (VM) is a digital representation of a physical computer. It behaves like an actual computer, with its own CPU, memory, and storage. VMs run within a software-based environment, separate from the host system. 

Here are some common uses and benefits of VMs:

Cloud Deployment: VMs are used to build and deploy applications in cloud environments.

Testing and Development: Developers create VMs to test new operating systems or software.

Efficient Resource Utilization: VMs allow multiple virtual environments to run on a single physical infrastructure, reducing the need for many physical servers.

Isolation and Portability: VMs remain independent of each other and can be easily moved between different hosts.

In summary, VMs provide flexibility, cost savings, and efficient resource management. 

7.Virtual Machines vs Containers

8. Microservices

Microservices are an architectural and organizational approach to software development. In this model, software is composed of small, independent services that communicate over well-defined APIs. Here are some key points about microservices:

Independence: Each microservice is developed, deployed, operated, and scaled independently without affecting other services. They don’t share code or implementation with each other.

Specialization: Each service focuses on solving a specific problem or business capability. If a service becomes complex, it can be broken down into smaller services.

Agility: Microservices foster small, independent teams that take ownership of their services. This allows faster development cycles and better overall throughput.

Flexible Scaling: Services can be independently scaled to meet demand for specific features, optimizing infrastructure needs and maintaining availability.

                            Breaking a monolithic application into microservices

9. Monolithic vs. Microservices Architecture

With monolithic architectures, all processes are tightly coupled and run as a single service. This means that if one process of the application experiences a spike in demand, the entire architecture must be scaled. Adding or improving a monolithic application’s features becomes more complex as the code base grows. This complexity limits experimentation and makes it difficult to implement new ideas. Monolithic architectures add risk for application availability because many dependent and tightly coupled processes increase the impact of a single process failure.

With a microservices architecture, an application is built as independent components that run each application process as a service. These services communicate via a well-defined interface using lightweight APIs. Services are built for business capabilities and each service performs a single function. Because they are independently run, each service can be updated, deployed, and scaled to meet demand for specific functions of an application.

10. Edge Computing

Edge computing is a form of computing that is done on-site or near a particular data source, minimizing the need for data to be processed in a remote data center. Edge computing is a distributed computing standard that brings compute services and data storage close to the site where it is needed to speed up the response times and preserve bandwidth.

Data Storage Terminologies

Split Brain situation - In a synchronous replication configuration - a split-brain situation where both arrays serve data for the same volume.

𝐅𝐑𝐄𝐄 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐫𝐞𝐠𝐫𝐞𝐭 𝐧𝐨𝐭 𝐭𝐚𝐤𝐢𝐧𝐠 𝐢𝐧 𝟐𝟎𝟐𝟒

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Learning Data Structures and Algorithms from scratch

If I had to start learning Data Structures and Algorithms from scratch, I would begin with these 20 articles to get a head start:
1) 𝐓𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: https://lnkd.in/gWDD83fm

2) 𝐁𝐢𝐠-𝐎 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭: https://lnkd.in/gsaAWbSs

3) 𝐒𝐨𝐫𝐭𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: https://lnkd.in/g9npW9JN

4) 𝐋𝐢𝐧𝐤𝐞𝐝 𝐋𝐢𝐬𝐭: https://lnkd.in/gXQux4zj

5) 𝐐𝐮𝐞𝐮𝐞: https://lnkd.in/gJaGSafT

6) 𝐒𝐭𝐚𝐜𝐤𝐬: https://lnkd.in/gBtqxeJH

7) 𝐇𝐚𝐬𝐡 𝐓𝐚𝐛𝐥𝐞𝐬: https://lnkd.in/gCfWr7Eg

8) 𝐇𝐞𝐚𝐩𝐬: https://lnkd.in/gS6SVF5A

9) 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐨𝐧: https://lnkd.in/gQiasy8H

10) 𝐁𝐚𝐜𝐤𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠: https://lnkd.in/g8Vge2p9

11) 𝐓𝐫𝐞𝐞: https://lnkd.in/gRfmJVDf

12) 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡 𝐓𝐫𝐞𝐞: https://lnkd.in/g7QYyVWy

13) 𝐓𝐫𝐢𝐞𝐬: https://lnkd.in/gTp3n4CP

14) 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡: https://lnkd.in/gKEm_qUK

15) 𝐆𝐫𝐞𝐞𝐝𝐲 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦: https://lnkd.in/gUMnuQ26

16) 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠: https://lnkd.in/gtXQsyXT

17) 𝐆𝐫𝐚𝐩𝐡 𝐓𝐡𝐞𝐨𝐫𝐲: https://lnkd.in/g9m8wAmp

18) 𝐃𝐅𝐒 𝐓𝐫𝐚𝐯𝐞𝐫𝐬𝐚𝐥: https://lnkd.in/gNKGuY2q

19) 𝐁𝐅𝐒 𝐓𝐫𝐚𝐯𝐞𝐫𝐬𝐚𝐥: https://lnkd.in/g6bSBgz5

20) 𝐃𝐢𝐣𝐤𝐬𝐭𝐫𝐚: https://lnkd.in/gZEp6FMZ

♻️ Repost to help others in your network.

Join 13,001+ readers of my free newsletter to master coding and system design interviews: https://lnkd.in/dXtb8SwU

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𝐅𝐑𝐄𝐄 𝐨𝐧𝐥𝐢𝐧𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝐀𝐈 𝐲𝐨𝐮 𝐜𝐚𝐧'𝐭 𝐦𝐢𝐬𝐬 🔥 

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Learn System Design from scratch

If I had to start learning System Design from scratch, I would begin with these 25 articles to get a head start:

1) Scalability: https://lnkd.in/gx-sPXZm

2) Horizontal vs Vertical Scaling: https://lnkd.in/gAH2e9du

3) Latency vs Throughput: https://lnkd.in/g_amhAtN

4) Load Balancing: https://lnkd.in/gQaa8sXK

5) Caching: https://lnkd.in/gC9piQbJ

6) ACID Transactions: https://lnkd.in/gMe2JqaF

7) SQL vs NoSQL: https://lnkd.in/g3WC_yxn

8) Database Indexes: https://lnkd.in/gCeshYVt

9) Database Sharding: https://lnkd.in/gMqqc6x9

10) Content Delivery Network (CDN): https://lnkd.in/gjJrEJeH

11) Strong vs Eventual Consistency: https://lnkd.in/gJ-uXQXZ

12) Batch Processing vs Stream Processing: https://lnkd.in/g4_MzM4s

13) Concurrency vs Parallelism: https://lnkd.in/gSKUm2Nh

14) Synchronous vs. asynchronous communications: https://lnkd.in/gC3F2nvr

15) Rest vs RPC: https://lnkd.in/gN__zcAB

16) CAP Theorem: https://lnkd.in/g3hmVamx

17) Reverse Proxy: https://lnkd.in/gFwWFDu8

18) Domain Name System (DNS): https://lnkd.in/gkMcZW8V

19) Rate Limiting: https://lnkd.in/gWsTDR3m

20) Redundancy and Replication: https://lnkd.in/gvwQGEiP

21) Fault Tolerance: https://lnkd.in/dVJ6n3wA

22) Failover: https://lnkd.in/dihZ-cEG

23) WebSockets: https://lnkd.in/g76Gv2KQ

24) Microservices Architecture: https://lnkd.in/gFXUrz_T

25) API Design: https://lnkd.in/ghYzrr8q

***

For more System Design resources, check out this GitHub repository: https://lnkd.in/gEVpTZKH

Grenaro wireless mic unboxing & testing in DSLR iPhone & GoPro ಕನ್ನಡದಲ್ಲಿ

Buy this mic from Amazon - https://amzn.to/41X5FLW

𝐍𝐎𝐓𝐄:* 𝐎𝐩𝐩𝐨/𝐯𝐢𝐯𝐨/𝐱𝐢𝐚𝐨𝐦𝐢/𝐨𝐧𝐞𝐩𝐥𝐮𝐬/𝐫𝐞𝐚𝐥𝐦𝐞 brand mobile phones, if the connection is unsuccessful ,please go to the settings, searching "𝐎𝐓𝐆" - turn on 𝐎𝐓𝐆 power supply. * Some mobile phones in Android system 𝐜𝐚𝐧𝐧𝐨𝐭 𝐮𝐬𝐞 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧 𝐜𝐚𝐦𝐞𝐫𝐚𝐬 𝐭𝐨 𝐬𝐡𝐨𝐨𝐭 𝐚𝐮𝐝𝐢𝐨, please download "𝐎𝐩𝐞𝐧 𝐂𝐚𝐦𝐞𝐫𝐚" App. If you still face any issues in connecting, you can directly 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬.
🎵𝐂𝐎𝐌𝐏𝐀𝐓𝐈𝐁𝐋𝐄 𝐖𝐈𝐓𝐇 𝐌𝐀𝐍𝐘 𝐃𝐄𝐕𝐈𝐂𝐄𝐒 - Grenaro 3 in 1 receiver Compatible for 𝐓𝐲𝐩𝐞-𝐂 𝐀𝐧𝐝𝐫𝐨𝐢𝐝/𝐢𝐏𝐡𝐨𝐧𝐞/𝐂𝐚𝐦𝐞𝐫𝐚𝐬/𝐋𝐚𝐩𝐭𝐨𝐩. Just clip the wireless microphones to your collar and plug the receiver (𝐓𝐲𝐩𝐞-𝐂/𝐋𝐢𝐠𝐡𝐭𝐧𝐢𝐧𝐠/𝟑.𝟓𝐦𝐦 𝐩𝐨𝐫𝐭) on your devices, they will 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐜𝐨𝐧𝐧𝐞𝐜𝐭. Just plug and play directly, APP and Bluetooth are not required.
🎵𝟑-𝐋𝐄𝐕𝐄𝐋 𝐍𝐎𝐈𝐒𝐄 𝐂𝐀𝐍𝐂𝐄𝐋𝐋𝐀𝐓𝐈𝐎𝐍 - Grenaro wireless microphones is using 𝐃𝐒𝐏 intelligent noise reduction chip to achieve 𝟑 𝐥𝐞𝐯𝐞𝐥 𝐧𝐨𝐢𝐬𝐞 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 and provide professional full-band audio 𝐂𝐃 quality, you can to retain the most original and natural sound according to different environments. It can synchronize the background music for phone and human voice in real time, and reduce video post-processing.
☎️𝟏 𝐘𝐞𝐚𝐫 𝐖𝐚𝐫𝐫𝐚𝐧𝐭𝐲 & 𝐔𝐬𝐞𝐫 𝐌𝐚𝐧𝐮𝐚𝐥 - Grenaro wireless microphone comes with a 𝟏 𝐲𝐞𝐚𝐫 𝐰𝐚𝐫𝐫𝐚𝐧𝐭𝐲 and 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 𝐬𝐞𝐫𝐯𝐢𝐜𝐞. If you purchase and try it but are not satisfied, you can return it to us. If you have any questions or concerns during use, you can refer to the user manual or contact our 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐞𝐫𝐯𝐢𝐜𝐞 𝐭𝐞𝐚𝐦 at any time.
🎵𝐋𝐎𝐍𝐆 𝐄𝐍𝐃𝐔𝐑𝐀𝐍𝐂𝐄 𝐌𝐈𝐂𝐑𝐎𝐏𝐇𝐎𝐍𝐄 𝐀𝐍𝐃 𝐑𝐄𝐂𝐄𝐈𝐕𝐄𝐑 - GRENARO Wireless Mic is equipped with 𝟖𝟎𝐦𝐀𝐡 battery, which can last for 𝟖 𝐡𝐨𝐮𝐫𝐬 and only takes 𝟏.𝟓 𝐡𝐨𝐮𝐫𝐬 to fully charge. The 3 in 1 receiver is equipped with a 𝟏𝟐𝟎𝐦𝐀𝐡 battery that lasts for 𝟔 𝐡𝐨𝐮𝐫𝐬 and fully charges in just 𝟏.𝟓 𝐡𝐨𝐮𝐫𝐬.Short video recording and live broadcast are unrestrained, which can easily cope with various noisy environments, and can meet your needs for a day.
🎵𝟗𝟖𝐅𝐓 𝐓𝐑𝐀𝐍𝐒𝐌𝐈𝐒𝐒𝐈𝐎𝐍 𝐃𝐈𝐒𝐓𝐀𝐍𝐂𝐄 - Easy to connect and Transmission Distance about 𝟔𝟓𝐅𝐄 (𝟐𝟎𝐌) for signal and using real-time auto-sync technology, 𝟎.𝟎𝟎𝟗𝐬 delay in transmission, helps you reduce power trouble and clearly recording or taking video at a further distance.
🎵𝟑𝟔𝟎° 𝐎𝐌𝐍𝐈𝐃𝐈𝐑𝐄𝐂𝐓𝐈𝐎𝐍𝐀𝐋 𝐏𝐈𝐂𝐊𝐔𝐏 - Grenaro wireless mic, High-sensitivity, 𝟑𝟔𝟎° wide-range recording, Recording Every Details. The 𝐠𝐫𝐞𝐞𝐧 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐥𝐢𝐠𝐡𝐭 of receiver and the 𝐠𝐫𝐞𝐞𝐧 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐥𝐢𝐠𝐡𝐭 of microphone always keeps on, then you can use the microphone to receive sound by opening YouTube/Facebook or Video recording.

ಕನ್ನಡದಲ್ಲಿ 

🔸 𝐦𝐞 ಬ್ರ್ಯಾಂಡ್ ಮೊಬೈಲ್ ಫೋನ್‌ಗಳು, ಸಂಪರ್ಕವು ವಿಫಲವಾದಲ್ಲಿ, ದಯವಿಟ್ಟು ಸೆಟ್ಟಿಂಗ್‌ಗಳಿಗೆ ಹೋಗಿ, "𝐎𝐓𝐆" ಅನ್ನು ಹುಡುಕಿ - 𝐎𝐓𝐆 ವಿದ್ಯುತ್ ಪೂರೈಕೆಯನ್ನು ಆನ್ ಮಾಡಿ. * ಆಂಡ್ರಾಯ್ಡ್ ಸಿಸ್ಟಂನಲ್ಲಿರುವ ಕೆಲವು ಮೊಬೈಲ್ ಫೋನ್‌ಗಳು 𝐡𝐨𝐨𝐭 𝐚𝐮𝐝𝐢𝐨, ದಯವಿಟ್ಟು "𝐎𝐩𝐞𝐧 𝐂𝐚𝐦𝐞𝐫𝐚" ಅಪ್ಲಿಕೇಶನ್ ಡೌನ್‌ಲೋಡ್ ಮಾಡಿ. ಸಂಪರ್ಕಿಸುವಲ್ಲಿ ನೀವು ಇನ್ನೂ ಯಾವುದೇ ಸಮಸ್ಯೆಗಳನ್ನು ಎದುರಿಸಿದರೆ, ನೀವು ನೇರವಾಗಿ 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬.

🎵𝐂𝐎𝐌𝐏𝐀𝐓𝐈𝐁𝐋𝐄 𝐖𝐈𝐓𝐇 𝐌𝐀𝐍𝐘 𝐌𝐀𝐍𝐘 𝐃𝐄𝐕 𝐓𝐲𝐩𝐞-𝐂 𝐀𝐧𝐝𝐫𝐨𝐢𝐝/𝐢𝐏𝐡𝐨𝐧𝐞/𝐂𝐭𝐦𝐚𝐂 𝐨𝐩. ವೈರ್‌ಲೆಸ್ ಮೈಕ್ರೊಫೋನ್‌ಗಳನ್ನು ನಿಮ್ಮ ಕಾಲರ್‌ಗೆ ಕ್ಲಿಪ್ ಮಾಡಿ ಮತ್ತು ರಿಸೀವರ್ ಅನ್ನು ಪ್ಲಗ್ ಮಾಡಿ (𝐓𝐲𝐩𝐞-𝐂/𝐋𝐢𝐠𝐡𝐭𝐧𝐢𝐧𝐠/𝟑. 🔸 ನೇರವಾಗಿ ಪ್ಲಗ್ ಮಾಡಿ ಮತ್ತು ಪ್ಲೇ ಮಾಡಿ, APP ಮತ್ತು ಬ್ಲೂಟೂತ್ ಅಗತ್ಯವಿಲ್ಲ.

🎵𝟑-𝐋𝐄𝐕𝐄𝐋 𝐍𝐎𝐈𝐒𝐄 𝐂𝐀𝐍𝐂𝐄𝐋𝐍𝐂𝐄𝐋𝐋𝐀𝐓𝐈𝐎 ವೈರ್‌ಲೆಸ್ ಮೈಕ್ರೊಫೋನ್ ಬಳಸುತ್ತಿದೆ 𝐏 ಬುದ್ಧಿವಂತ ಶಬ್ದ ಕಡಿತ ಚಿಪ್ ಸಾಧಿಸಲು 𝟑 𝐥𝐞𝐯𝐞𝐥 𝐧𝐨𝐢𝐬𝐞 𝐫𝐞𝐬𝐞 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐢 ಮೂಲ ಗುಣಮಟ್ಟವನ್ನು ಸಾಧಿಸಲು ಮತ್ತು ಹೆಚ್ಚಿನ ಗುಣಮಟ್ಟವನ್ನು ಒದಗಿಸಬಹುದು ವಿಭಿನ್ನ ಪರಿಸರದ ಪ್ರಕಾರ ನೈಸರ್ಗಿಕ ಧ್ವನಿ. ಇದು ನೈಜ ಸಮಯದಲ್ಲಿ ಫೋನ್ ಮತ್ತು ಮಾನವ ಧ್ವನಿಗಾಗಿ ಹಿನ್ನೆಲೆ ಸಂಗೀತವನ್ನು ಸಿಂಕ್ರೊನೈಸ್ ಮಾಡಬಹುದು ಮತ್ತು ವೀಡಿಯೊ ಪೋಸ್ಟ್-ಪ್ರೊಸೆಸಿಂಗ್ ಅನ್ನು ಕಡಿಮೆ ಮಾಡುತ್ತದೆ.

☎ 𝐘𝐞𝐚𝐫 𝐖𝐚𝐫𝐫𝐚𝐧𝐭𝐲 & 𝐔𝐬𝐞𝐫 - ಗ್ರೆನಾರೊ ವೈರ್‌ಲೆಸ್ ಮೈಕ್ರೊಫೋನ್ 𝟏 𝐲𝐞𝐚𝐫 𝐰𝐚𝐫𝐫𝐚𝐧𝐭𝐲 ಮತ್ತು 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 with ನೊಂದಿಗೆ ಬರುತ್ತದೆ. ನೀವು ಅದನ್ನು ಖರೀದಿಸಿ ಮತ್ತು ಪ್ರಯತ್ನಿಸಿದರೆ ತೃಪ್ತರಾಗದಿದ್ದರೆ, ನೀವು ಅದನ್ನು ನಮಗೆ ಹಿಂತಿರುಗಿಸಬಹುದು. ಬಳಕೆಯ ಸಮಯದಲ್ಲಿ ನೀವು ಯಾವುದೇ ಪ್ರಶ್ನೆಗಳನ್ನು ಅಥವಾ ಕಾಳಜಿಗಳನ್ನು ಹೊಂದಿದ್ದರೆ, ನೀವು ಬಳಕೆದಾರ ಕೈಪಿಡಿಯನ್ನು ಉಲ್ಲೇಖಿಸಬಹುದು ಅಥವಾ ನಮ್ಮ 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐞𝐫𝐯𝐢𝐜𝐚 𝐭𝐞𝐜𝐚.

🎵𝐋𝐎𝐍𝐆 𝐄𝐍𝐃𝐔𝐑𝐀𝐍𝐂𝐄 𝐌𝐈𝐂𝐑𝐎𝐏𝐇, 𝐂𝐄𝐈𝐕𝐄𝐑 - GRENARO ವೈರ್‌ಲೆಸ್ ಮೈಕ್ ಅನ್ನು 𝟖𝟎𝐦𝐀𝐡 ಬ್ಯಾಟರಿಯೊಂದಿಗೆ ಸಜ್ಜುಗೊಳಿಸಲಾಗಿದೆ, ಇದು 𝟖 𝐡𝐨𝐮𝐫𝐡 ವರೆಗೆ ಇರುತ್ತದೆ ಮತ್ತು ಕೇವಲ. ಸಂಪೂರ್ಣವಾಗಿ ಚಾರ್ಜ್. 3 ರಲ್ಲಿ 1 ರಿಸೀವರ್ 𝟏𝟐𝟎𝐦𝐀𝐡 ಬ್ಯಾಟರಿಯನ್ನು ಹೊಂದಿದ್ದು ಅದು 𝟔 𝐡𝐨𝐮𝐫𝐬 ವರೆಗೆ ಇರುತ್ತದೆ ಮತ್ತು ಸಂಪೂರ್ಣವಾಗಿ ಚಾರ್ಜ್ ಆಗುತ್ತದೆ 𝟏. ined, ಇದು ವಿವಿಧ ಗದ್ದಲದ ಪರಿಸರವನ್ನು ಸುಲಭವಾಗಿ ನಿಭಾಯಿಸುತ್ತದೆ ಮತ್ತು ನಿಮ್ಮ ಅಗತ್ಯಗಳನ್ನು ಪೂರೈಸುತ್ತದೆ ಒಂದು ದಿನ.

🎵𝟗𝟖𝐅𝐓 𝐓𝐑𝐀, 𝟓𝐅𝐄 (𝟐𝟎𝐌) ಸಿಗ್ನಲ್‌ಗಾಗಿ ಮತ್ತು ನೈಜ-ಸಮಯದ ಸ್ವಯಂ-ಸಿಂಕ್ ತಂತ್ರಜ್ಞಾನವನ್ನು ಬಳಸುವುದು, 𝟎.𝟎𝟎𝟗𝐬 ಪ್ರಸರಣದಲ್ಲಿ ವಿಳಂಬ, ವಿದ್ಯುತ್ ತೊಂದರೆಯನ್ನು ಕಡಿಮೆ ಮಾಡಲು ಮತ್ತು ಮತ್ತಷ್ಟು ದೂರದಲ್ಲಿ ಸ್ಪಷ್ಟವಾಗಿ ರೆಕಾರ್ಡ್ ಮಾಡಲು ಅಥವಾ ವೀಡಿಯೊ ತೆಗೆಯಲು ಸಹಾಯ ಮಾಡುತ್ತದೆ .

🎵𝟑𝟔𝟎° 𝐎𝐌𝐍𝐈𝐃𝐈𝐑𝐄𝐂𝐓𝐈𝐎𝐍𝐀𝐋 𝐏𝐈𝐏𝐋 𝐏𝐈𝐂 𝟑𝟔𝟎° ವ್ಯಾಪಕ ಶ್ರೇಣಿಯ ರೆಕಾರ್ಡಿಂಗ್, ಪ್ರತಿ ವಿವರಗಳನ್ನು ರೆಕಾರ್ಡಿಂಗ್. ಸ್ವೀಕರಿಸುವವರ 𝐠𝐫𝐞𝐞𝐧 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐥𝐢𝐠𝐡𝐭 ಆಫ್ ರಿಸೀವರ್ ಮತ್ತು 𝐧𝐧𝐧 𝐜𝐚𝐭𝐨𝐫 𝐥𝐢𝐠𝐡𝐭 ಮೈಕ್ರೊಫೋನ್ ಯಾವಾಗಲೂ ಆನ್ ಆಗಿರುತ್ತದೆ, ನಂತರ ನೀವು YouTube/Facebook ಅಥವಾ ವೀಡಿಯೊ ರೆಕಾರ್ಡಿಂಗ್ ತೆರೆಯುವ ಮೂಲಕ ಧ್ವನಿಯನ್ನು ಸ್ವೀಕರಿಸಲು ಮೈಕ್ರೊಫೋನ್ ಅನ್ನು ಬಳಸಬಹುದು.

Prevent a Macbook from sleeping when the lid is closed when power is not connected

The external monitor gets turned off by default when the Macbook monitor lid is closed. Here is how you can override this behavior.  

Open terminal & execute the 

sudo pmset -a disablesleep 1

You can reverse this setting by running the below command in the terminal

sudo pmset -a disablesleep 0

The other regular way for the external monitor to remain ON is as below:

Connect to power.
Connect to external monitor.
Close lid.