Best Monitors for Coding to Buy in October 2025
BenQ RD280U 28.2” 4K 3840x2560 3:2 Programming Monitor, Eye-Care, Nano Matte Panel, Coding Modes, MoonHalo Backlight, 90W USB-C, KVM, VESA Mount, Developer Monitor
- BOOST PRODUCTIVITY WITH BENQ'S ANTI-GLARE NANO MATTE PANEL!
- ENHANCE CODE CLARITY WITH ADVANCED CODING MODES FOR PROGRAMMERS!
- ENJOY COMFORT & EYE PROTECTION FOR LONG CODING SESSIONS!
BenQ GW2790 27" Monitor 100Hz FHD 1920x1080p | IPS | Eye-Care | VESA Mount | Thin Bezel | Low Blue Light | Adaptive Brightness | DisplayPort | HDMI x2
- ULTRA-SMOOTH 100HZ REFRESH RATE FOR LAG-FREE GAMING AND VISUALS.
- STUNNING 27 DISPLAY ENSURES CRISP VISUALS FOR GAMING AND PRODUCTIVITY.
- EYE-CARE TECHNOLOGY REDUCES STRAIN, PERFECT FOR LONG HOURS OF USE.
LG 27US500-W Ultrafine Monitor 27-Inch 4K UHD (3840x2160) HDR10 IPS Borderless Design Reader Mode Flicker Safe Switch App HDMI DisplayPort - White
- STUNNING 4K UHD WITH 1000:1 CONTRAST FOR VIBRANT VISUALS.
- EXPERIENCE HDR10 WITH 90% DCI-P3 FOR TRUE-TO-LIFE COLORS.
- EASY CUSTOMIZATION WITH ONSCREEN CONTROL FOR EFFICIENT WORKFLOW.
BenQ GW2786TC Office USB hub Monitor 27" 1080p | Coding Mode | IPS | Eye-Care Tech | Adaptive Brightness | Height Adjustable | White Monitor | Noice-Cancelling Mic | Daisy Chain | USB-C
- FAST USB-C: QUICK CHARGE AND CRISP AUDIO/VIDEO VIA ONE CABLE.
- SMOOTH 100HZ REFRESH: ENHANCES RESPONSIVENESS FOR SEAMLESS EXPERIENCES.
- CUSTOMIZABLE COMFORT: ERGONOMIC DESIGN WITH HEIGHT AND ANGLE ADJUSTMENTS.
EPORMOT QLED Portable Dual Monitor 23.8" 100Hz FHD 1080P Stacked Monitor – 125% sRGB Dual Vertical Displays for Coding/Gaming/Trading, USB-C HDMI Laptop Screen Extender
-
MAXIMIZE SPACE & PRODUCTIVITY WITH TWIN VERTICAL 23.8 QLED DISPLAYS!
-
ENJOY 100HZ BLUR-FREE MOTION & 125% SRGB FOR STUNNING VISUALS!
-
EASY SETUP WITH PLUG-AND-PLAY & 3-YEAR WARRANTY FOR PEACE OF MIND!
Dell 32 Plus 4K Monitor - S3225QS - 31.5-inch 4K (3840 x 2160) up to 120Hz 16:9 Display, VA Panel, AMD FreeSync Premium, 99% sRGB, 95% DCI-P3, 1500:1 Contrast Ratio, Comfortview Plus - Ash White
-
ALL-DAY COMFORT: 35% BLUE LIGHT REDUCTION BOOSTS EYE HEALTH.
-
ULTRA-SMOOTH VISUALS: 120HZ REFRESH RATE WITH AMD FREESYNC PREMIUM.
-
STUNNING CLARITY: 4K RESOLUTION WITH 99% SRGB FOR VIBRANT COLORS.
SAMSUNG 32" UJ59 Series 4K UHD (3840x2160) Computer Monitor,VA Panel, HDMI, Display Port, Eye Saver/Flicker Free Mode, FreeSync, LU32J590UQNXZA, Black
- EXPERIENCE STUNNING UHD CLARITY WITH 4X THE FULL HD PIXELS!
- ENJOY TRUE-TO-LIFE COLORS FOR VIBRANT PHOTOS, VIDEOS, AND GRAPHICS!
- ELEVATE GAMING WITH NO LAG AND OPTIMIZED CONTRAST FOR COMPETITIVE EDGE!
Sceptre Curved 24-inch Gaming Monitor 1080p R1500 98% sRGB HDMI x2 VGA Build-in Speakers, VESA Wall Mount Machine Black (C248W-1920RN Series)
- IMMERSIVE 1800R CURVATURE FOR A CAPTIVATING VISUAL EXPERIENCE.
- HIGH REFRESH RATE OF 75HZ ENSURES SMOOTH GAMEPLAY AND VIDEOS.
- VERSATILE CONNECTIVITY WITH HDMI, VGA & AUDIO IN PORTS AVAILABLE.
ASUS 24” (23.8-inch viewable) 1080P VA249HG Eye Care Monitor – IPS, Full HD, 99% sRGB, Frameless, 120Hz, Adaptive-Sync, 1ms, HDMI, VGA, Low Blue Light, Flicker Free, Wall Mountable, 3 yr Warranty
- STUNNING 23.8 FULL HD DISPLAY WITH 178° IPS WIDE VIEWING ANGLE.
- 120HZ REFRESH RATE AND 1MS RESPONSE FOR SMOOTH, TEAR-FREE VISUALS.
- INCLUDES 3-MONTH ADOBE CREATIVE CLOUD SUBSCRIPTION WITH PURCHASE!
acer KB272 G0bi 27" IPS Full HD (1920 x 1080) Gaming Office Monitor | Adaptive-Sync Support (FreeSync Compatible) | Up to 120Hz Refresh | 1ms (VRB) | sRGB 99% | Tilt | HDMI & VGA Ports
- STUNNING 27 FULL HD VISUALS WITH 99% SRGB COLOR SATURATION!
- ENJOY SMOOTH, TEAR-FREE GAMEPLAY WITH ADAPTIVE-SYNC SUPPORT!
- ULTRA-FAST 1MS RESPONSE TIME FOR CLEAR MOTION AND TRANSITIONS!
To add a new column/key in MongoDB at run time, you can use the MongoDB update method along with the $set operator. Simply specify the new key and value in the update query, and MongoDB will automatically add the new column/key to the document. Alternatively, you can also use the updateOne or updateMany methods depending on whether you want to add the new column/key to a single document or multiple documents. Remember to specify the correct query filter to target the specific document(s) you want to update.
How can I add a new field to an existing document in MongoDB?
To add a new field to an existing document in MongoDB, you can use the $set operator in combination with the update method. Here's an example of how you can add a new field to a document in a collection:
db.collectionName.updateOne( { _id: ObjectId("documentId") }, { $set: { newField: "value" } } )
In the above code snippet:
- collectionName is the name of the collection where the document is stored.
- documentId is the unique identifier of the document you want to update.
- newField is the name of the new field you want to add to the document.
- "value" is the value you want to assign to the new field.
You can also use the updateMany() method to add a new field to multiple documents in a collection at once. Just be sure to provide the appropriate filter criteria to select the documents you want to update.
How to add a new key to an existing document in a MongoDB collection using the CLI?
To add a new key to an existing document in a MongoDB collection using the CLI, you can use the update command with the $set operator. Here's how you can do it:
- Connect to your MongoDB instance using the CLI by running the following command:
mongo
- Switch to the database and collection where the document you want to update is located:
use your_database_name
- Run the following update command to add a new key to a specific document in the collection:
db.your_collection_name.update( { _id: ObjectId("document_id") }, { $set: { new_key: "new_value" } } )
Replace your_collection_name with the name of your collection, document_id with the _id of the document you want to update, new_key with the name of the new key you want to add, and "new_value" with the value you want to assign to the new key.
- If you want to add the same new key to all documents in the collection, you can run the following command:
db.your_collection_name.update( {}, { $set: { new_key: "new_value" } }, { multi: true } )
After running these commands, the new key with its value will be added to the specified document or all documents in the collection, depending on the command you executed.
How to add a new field to a document in MongoDB using Python?
To add a new field to a document in MongoDB using Python, you can use the update_one() method from the PyMongo library. Here's an example code snippet to demonstrate how to do this:
import pymongo
Connect to the MongoDB server
client = pymongo.MongoClient("mongodb://localhost:27017/") db = client["mydatabase"] collection = db["mycollection"]
Specify the filter criteria to update a specific document
filter = { "name": "John Doe" }
Specify the new field and its value to be added to the document
new_field = { "$set": { "age": 30 } }
Update the document with the new field
collection.update_one(filter, new_field)
Print the updated document
updated_document = collection.find_one(filter) print(updated_document)
In this code snippet, we first connect to the MongoDB server, specify the filter criteria to identify the document to be updated, define the new field and its value using the $set operator, and then use the update_one() method to add the new field to the specified document. Finally, we print the updated document to verify that the new field has been added successfully.
What is the performance impact of adding a new key to existing documents in MongoDB?
The performance impact of adding a new key to existing documents in MongoDB depends on multiple factors such as the size of the collection, the number of documents being updated, and the amount of data being added.
In general, adding a new key to existing documents in MongoDB can impact performance to some extent, especially if the collection is very large or if the update operation needs to be performed on a large number of documents. This is because MongoDB has to update each document individually, which can be time-consuming and resource-intensive.
However, MongoDB provides efficient ways to add new keys to existing documents such as the $set operator in update operations, which can help minimize the performance impact. Additionally, proper indexing and sharding strategies can also help improve performance when updating documents with new keys.
Overall, while adding a new key to existing documents in MongoDB may have some performance impact, careful planning and optimization can help mitigate this impact and ensure efficient operation.
How to add a new key in MongoDB dynamically?
You can add a new key in MongoDB dynamically by using the $set operator in a MongoDB update query. Here's an example of how you can add a new key to a document in a MongoDB collection:
- Connect to your MongoDB database and select the collection where you want to add the new key.
- Use the updateOne() or updateMany() method to add the new key to the document.
For example, let's say you have the following document in a collection called users:
{ _id: ObjectId("60a4b29296afee44047eccb4"), name: "John Doe", age: 30 }
To add a new key called email with the value "john.doe@example.com" to this document, you can run the following update query:
db.users.updateOne( { _id: ObjectId("60a4b29296afee44047eccb4") }, { $set: { email: "john.doe@example.com" } } )
After running this query, the document will be updated to:
{ _id: ObjectId("60a4b29296afee44047eccb4"), name: "John Doe", age: 30, email: "john.doe@example.com" }
By using the $set operator in the update query, you can dynamically add new keys to documents in your MongoDB collection.
How to handle errors when adding a new key to documents in MongoDB?
When adding a new key to documents in MongoDB, it is important to handle errors properly to ensure that the operation does not fail and to provide appropriate feedback to the user. Here are some steps to handle errors when adding a new key to documents in MongoDB:
- Check if the key already exists: Before adding a new key to a document, you should check if the key already exists in the document. If the key already exists, you may want to update the existing value rather than adding a new key.
- Use upsert operations: When adding a new key to a document, you can use upsert operations to insert a new document if it does not already exist or update the existing document if it does exist. This can help avoid errors related to duplicate keys.
- Use the $set operator: When updating a document to add a new key, you should use the $set operator to set the new key and value. This operator will not overwrite existing keys and will only add the new key if it does not already exist.
- Handle errors in your application code: When performing operations in MongoDB, it is important to handle errors in your application code. You can catch and log any errors that occur during the operation and provide meaningful feedback to the user.
- Validate input data: Before adding a new key to a document, you should validate the input data to ensure that it is in the correct format and does not contain any unexpected values. This can help prevent errors related to invalid data being added to the document.
By following these steps, you can effectively handle errors when adding a new key to documents in MongoDB and ensure that the operation completes successfully.