Win 10 Vs 11 Gaming

If your existing Windows 10 PC is running Windows 10 20H1 or later and meets the minimum hardware specificationsit will be able to upgrade to Windows 11. The upgrade rollout plan is still being finalized, but for most devices already in use today, we expect it to be ready sometime in early 2022. Not all Windows 10 PCs that are eligible to upgrade will be offered to upgrade at the same time.

To see if your PC is eligible to upgrade, refer to our knowledge base for a list of tested systems. Once the upgrade rollout has started, you can check if it is ready for your device by going to Settings/Windows Updates. Similar to how end users are notified when updates are available in Windows 10, end users will see an indication in the notification areas of the taskbar in the bottom right, that the upgrade is available.

More information on how that is presented will be available at a later date. Additional desktop notification options may be also be added at a later date. The second feature here is DirectStorage that promises to greatly enhance the gaming experience by cutting downloading times of games. This appears to be an extension of the attempts being made by Microsoft with the Xbox Series X/S consoles where it has used clever tricks to greatly improve load times of games. However, do note that this feature will only be available on select games that support DirectStorage API on a PC with an NVMe SSD and a GPU that supports DirectX12 Ultimate.

These are the core differences in Windows 11 Home vs Pro editions. As we've mentioned, most of them revolve around features meant for business users. Some are designed to protect especially sensitive information, while others have to do with quickly setting up devices for users and managing them remotely.

For the average person walking into a store, you're probably going to be just fine with Windows 11 Home. The odds are if you need Windows 11 Pro, you already know you need it and why. Windows 10 is the last generation of Windows which was launched on July 15, 2015, after the Windows 8.1 version. Windows 10 introduced a completely new browser by Microsoft called Microsoft Edge.

Windows 10 was mainly designed by also keeping in mind the multi-tasking features like in the Android Operating system and touch-based functionality. The users from Windows 7 or Windows 8 could easily update their devices to the latest Windows 10 for free via software updates. The Microsoft Windows 10 requires system configurations to run like a minimum of 2GB RAM and 32GB storage and processors of higher processing power than the Intel Core i Series 4th generation later. Even the newly-released AutoHDR feature is available on both Windows 11 Home and Pro editions. So it's safe to say that neither of the editions will disappoint you in terms of gaming performance.

That said, Windows 11 Pro offers you a larger ceiling for hardware expansion. It supports up to 2 CPU sockets, 128 cores, and up to 2TB of RAM, whereas Windows 11 Home supports 1 CPU socket, 64 cores, and up to 128GB of RAM. Simply put, Windows 11 Home is more than enough for most users, even for hardcore gamers. If your existing Windows 10 PC is running the most current version of Windows 10 and meets the minimum hardware specifications it will be able to upgrade to Windows 11.

Not all Windows 10 PCs that are eligible to upgrade to Windows 11 will be offered to upgrade at the same time. However, with innovation, games have become much more complex than even an NVME could not cope up with the requirements of a modern game. The modern games of today need 10s of gigabytes of data to display those beautiful characters and environments.

The implementation of this new software in Windows would allow video games to utilize those incredible drive speeds and bring enhanced performance for its users. The short answer is yes, windows 11 is an excellent operating system for gamers, it provides lots of features and functionalities for the gamers. Some of the essential features that existed within this operating system are- Auto HDR, Direct Storage, running android apps, GUI creation, 64 bits system supports, etc. Apart from this, Windows 11 also offers what Microsoft calls the Desktops feature that gives the user the ability to set up and manage multiple iterations of your desktop.

It's a simple and easy feature to use, which when gotten used greatly improves ease of use. This can be accessed by going to this new icon that all Windows users of the past will instantly notice on their home screens. This Task View button sits alongside the Start button and looks like contrasting windows over one another.

Hover your pointer over it, and you'll see a small preview of all the desktops you have open, as well as the option to set up a new one. It also temporarily prevents Windows Update from installing drivers or asking to restart your PC to install updates in the middle of a game. Microsoft introduced the gaming feature as part of the Windows 10 Creators Update in 2017. Most noticeably, a new design is meant to help users more quickly get what they're looking for. Microsoft is changing the rules of its app store to bring more variety and even bring Android apps to the PC, and adding enhancements that promise to boost gaming. New touchscreen controls and a better way to configure windows on screen might make it easy to sit in front of the computer for long periods.

Do it all with the perfect balance of sleek design, speed, immersive audio and significantly longer battery life than before. Capture ideas and use your favorite Microsoft 365 applications on the vibrant PixelSense touchscreen display in 13.5-inch or 15-inch models. Choose between 11th Gen Intel Core processors or AMD Ryzen Mobile Processors with Radeon Graphics Microsoft Surface Edition.

Click the link above to learn more about Surface Laptop 4, including available color finishes and material options. The Acer Swift 5 (SF514-55) ultrathin-and-light notebook marries an uber-stylish design with the latest performance technology. The touchscreen display is covered with a layer of Antimicrobial Corning Gorilla Glass, and you have the option to further include an antimicrobial solution on the touchpad, keyboard and all covers of the device.

Click the link above for more details on the Acer website. It's worth understanding how the game loading happens today without DirectStorage. But, because of compression issues, there's a blockage between the CPU and the graphics card or GPU. Remember, it's a legacy process that results in slower load times and lower frame rates. However, DirectStorage removes this need for CPU decompression. As familiar as Windows 11 might be, there's still a lot that's changed.

Your favorite multitasking functions get upgraded with new Snap Layouts, and virtual desktops are getting better with more flexibility and features. It's always important to ensure there's sufficient storage space on the C drive which is the system drive. Sometimes, after Windows 11 or Windows 10 update, the C drive is full and thus, you may encounter low frame rates when playing video games or even frequent system crashes. In this case, it's imperative to allocate more free space to it. For starters, by default, in the main Windows 11 settings under the Gaming tab, a new feature called Game Mode is active.

Windows 11's Settings menu hides little goodies like Game Mode, a toggle that allows Windows to turn off unnecessary tasks while playing a game—including Windows updates and restarts! This is also where the performance slider is hidden, by the way, to get more performance out of Windows 11. Microsoft has reorganized the Settings app, adding flourishes such as widgets to show paired devices, a prominent link to rename your PC, and a way to see which subfolder you're looking in. Plus, the left rail of options doesn't change as you move from section to section as it did before, making navigation easier.

The menu options have been moved around, with some sections getting new names. And a new option makes the operating system remember where windows were before when you reconnect an external monitor. Windows 11 has dedicated features for gaming like Direct Storage and Auto HDR for improving graphics quality. Windows 11 also has a completely new Xbox app designed for users to get access to the best games created by Microsoft. Xbox also allows users to stream their gaming on other social media platforms like YouTube and Twitch.

Windows 11 is the latest version of the Operating System launched by Microsoft. It was launched on June 24, 2021, after the release of Windows 10 in 2015. Windows 11 can be installed by updating the compatible devices to the latest version of it comes pre-installed in the new computers nowadays. Windows 11 is a more seamless and integrated experience for the users as compared to Windows 10. Microsoft has taken inspiration from Android or the MacOS to make everything connected within one account only. Also, it requires TPM 2.0 for effective trusted platform modules.

As business users often deal with especially sensitive information, there are also some extra security features in Windows 11 Pro. This feature encrypts data stored on your hard drive so no one else can access it. Even if your computer is stolen, your files are protected from users other than yourself.

Another difference that will be noticeable for business users is that Windows 11 Home PCs can't be joined to Active Directory. Active Directory solutions are necessary for managing business devices, such as configuring access to certain resources, deploying apps, and so on. Those are all professional tools, so they don't make sense for most Windows 11 Home users. One of the biggest changes coming announced for Windows 11 this summer was the addition of Android app support. With Windows 11, Android would be able to run on the desktop, in a separate window that you could use with Snap Layouts and as well as with touch, keyboard and mouse – every way you interact with Windows.

And you would be able add apps to the taskbar and start menu, just like other programs, to make them part of your workflow from day-to-day. Microsoft said the new operating system will include performance improvements, including faster logins with Windows Hello, faster web browsing, and faster waking up from sleep. Windows Hello is a biometric-based technology that enables Windows 10 users to authenticate secure access to their devices, applications, and networks with iris scans, facial recognition, or fingerprints. However, Microsoft has said that DirectStorage, one of the new PC gaming features, will also be compatible with Windows 10. DirectStorage takes advantage of modern storage hardware in PCs from games to simplify the way the game is played.

Auto HDR will also be built into Windows 11, which should improve colors in many games. Although Windows 10 included the Task View feature and allowed users to create multiple virtual desktops, the options were limited. Windows 11 users will be able to set up virtual desktops just like they do with Macs.

Users can switch between multiple desktops at the same time for work, school, play, and personal use. Speaking of security, one of the options is to install a free antivirus program for Windows. Next to the Search icon is Task View, which hasn't changed much from Windows 10. Task View and theAlt + Tab functionality still overlap considerably. TheAlt + Tab functionality shows all of the windows that you have open, including the option to include the most recent 3 or 5 tabs within Edge. Microsoft introduced Task View in Windows 10 as a way to shift between arrangements of various windowed apps on laptops and other single-screen devices.

It's still an excellent tool for working on the road, but you might not find it as useful when your PC has access to multiple physical monitors. And before we get to test the performance of Windows 11, let's discuss the gaming-related features that Windows 11 brings with itself. So, under this category, there are two main features that will be of the most interest to users.

The former functions use machine learning to enhance lighting detail in visuals on screen, by replicating high dynamic range lighting in DirectX 11/12 games which do not offer support for it. This is an interesting feature and will come in handy for a lot of users who play older generation titles on their new Windows 11 machines. Windows 11 makes it easy to organize two or more application windows you want to use at the same time. This builds on the ability to snap windows on the left or right sides of the screen in Windows 10, as well as customizations to Android that showed up in the Surface Duo, Microsoft's two-screened smartphone.

Hover over the maximize button in an application, and you'll see options for arranging two, three or even four windows. You click on which part of the screen you want that current window to use, and then you choose other portions of the screen for the other windows. After you've organized your windows the way you like them, you can go to the taskbar and quickly access your set of windows. If you open other ones, you can get back to the set by hovering over the icons for the apps included in the set. You can also quickly close the set by hovering and hitting the X button. Samsung Galaxy Book Pro and Galaxy Book Pro 360 reshape the PC for mobile-first consumers by bringing together next-generation connectivity, ultra-portable design and elevated performance.

With complete Samsung Galaxy ecosystem integration, the Galaxy Book Pro series is now the ultimate link between your devices, fully connecting your digital world. Built for marathon gaming sessions, these laptops feature HyperEfficient voltage regulation technology which is designed to allow the system to perform at the highest levels for hours of gameplay. The Windows 11 Start Menu instead displays your pinned apps, with a search bar letting you locate your less used programmes. There's also a recommended section that shows your recent activity so you can jump right back into your last used word document, spreadsheet or Photoshop project. This results in a more personalised experience, even letting you align the taskbar to the left of your screen if you prefer the older layout.

Of course, the bulk of the differences between Home and Pro editions of Windows 11 are for businesses. Most device management capabilities aren't available in Windows 11 Home at all. Windows 11 Pro, however, supports things like Group Policy, which lets IT admins configure certain policies for groups of devices in one go. There's also Windows Update for Business, which lets companies control how updates are rolled out to their users to avoid unexpected issues. Upgrades to Windows 11 will begin to roll out late in 2021 and continue into 2022.

During this time, we will be doing some behind the scenes testing and validating for your specific PC. Windows Update will provide an indication if and when your PC is eligible. What this means is that those without TPM 2.0 won't be able to upgrade to Windows 11, unless you purchase and install a TPM 2.0 Module. To find out if your device has TPM 2.0, search for "Windows Security" from the start menu, select "Device Security" then select "Security processor details". Be sure to check that "Specification Version" is 2.0, as previous versions will not be compatible. For gaming, this means saying goodbye to loading screens and hello to faster and smoother gameplay.

On a gaming-performance basis, let's just say we see no reason not to take the plunge to Windows 11 based on these results. Plenty of other considerations come into play with an OS upgrade, of course, but if the numbers lean either way, it's marginally in favor of Windows 11. No games in our tests performed worse on the new OS, at least, and a few saw better frame rates.

Can We Use Group By On Multiple Columns

We can group the resultset in SQL on multiple column values. All the column values defined as grouping criteria should match with other records column values to group them to a single record. Let us use the aggregate functions in the group by clause with multiple columns.

This means given for the expert named Payal, two different records will be retrieved as there are two different values for session count in the table educba_learning that are 750 and 950. The group by clause is most often used along with the aggregate functions like MAX(), MIN(), COUNT(), SUM(), etc to get the summarized data from the table or multiple tables joined together. Grouping on multiple columns is most often used for generating queries for reports, dashboarding, etc.

The GROUP BY clause groups together rows in a table with non-distinct values for the expression in the GROUP BY clause. For multiple rows in the source table with non-distinct values for expression, theGROUP BY clause produces a single combined row. GROUP BY is commonly used when aggregate functions are present in the SELECT list, or to eliminate redundancy in the output. GROUP BY enables you to use aggregate functions on groups of data returned from a query. FILTER is a modifier used on an aggregate function to limit the values used in an aggregation. All the columns in the select statement that aren't aggregated should be specified in a GROUP BY clause in the query.

The GROUP BY Clause is used together with the SQL SELECT statement. The SELECT statement used in the GROUP BY clause can only be used contain column names, aggregate functions, constants and expressions. The HAVING clause is used to restrict the results returned by the GROUP BY clause. Group by is done for clubbing together the records that have the same values for the criteria that are defined for grouping. When a single column is considered for grouping then the records containing the same value for that column on which criteria are defined are grouped into a single record for the resultset. The SQL GROUP BY Statement The GROUP BY statement groups rows that have the same values into summary rows, like "find the number of customers in each country".

The GROUP BY statement is often used with aggregate functions to group the result-set by one or more columns. MySQL GROUP BY, The GROUP BY clause returns one row for each group. In other words, it reduces the number of rows in the result set. You often use the GROUP BY clause with aggregate functions such as SUM , AVG , MAX , MIN , and COUNT .

The aggregate function that appears in the SELECT clause provides information about each group. You can use GROUP BY to group values from a column, and, if you wish, perform calculations on that column. You can use COUNT, SUM, AVG, etc., functions on the grouped column.

You can also use the having clause with the Transact-SQL extension that allows you to omit the group by clause from a query that includes an aggregate in its select list. These scalar aggregate functions calculate values for the table as a single group, not for groups within the table. Pandas groupby is a powerful function that groups distinct sets within selected columns and aggregates metrics from other columns accordingly. Performing these operations results in a pivot table, something that's very useful in data analysis. Including the GROUP BY clause limits the window of data processed by the aggregate function.

This way we get an aggregated value for each distinct combination of values present in the columns listed in the GROUP BY clause. The number of rows we expect can be calculated by multiplying the number of distinct values of each column listed in the GROUP BY clause. In this case, if the rows were loaded randomly we would expect the number of distinct values for the first three columns in the table to be 2, 5 and 10 respectively. So using the fact_1_id column in the GROUP BY clause should give us 2 rows.

In Pandas, you can use groupby() with the combination of sum(), pivot(), transform(), and aggregate() methods. In this article, I will cover how to group by a single column, multiple columns, by using aggregations with examples. Can we use MySQL GROUP BY clause with multiple columns like , Yes, it is possible to use MySQL GROUP BY clause with multiple columns just as we can use MySQL DISTINCT clause. Consider the following example in which we have used DISTINCT clause in first query and GROUP BY clause in the second query, on 'fname' and 'Lname' columns of the table named 'testing'. Yes, it is possible to use MySQL GROUP BY clause with multiple columns just as we can use MySQL DISTINCT clause. Consider the following example in which we have used DISTINCT clause in first query and GROUP BY clause in the second query, on 'fname' and 'Lname' columns of the table named 'testing'.

The only difference is that the result set returns by MySQL query using GROUP BY clause is sorted and in contrast, the result set return by MySQL query using DISTICT clause is not sorted. In this article, I have covered pandas groupby() syntax and several examples of how to group your data. I hope you have learned how to run group by on multiple columns, sort grouped data, ignoring null values, and many more with examples. The ORDER BY clause specifies a column or expression as the sort criterion for the result set. If an ORDER BY clause is not present, the order of the results of a query is not defined.

Column aliases from a FROM clause or SELECT list are allowed. If a query contains aliases in the SELECT clause, those aliases override names in the corresponding FROM clause. SELECT AS STRUCT can be used in a scalar or array subquery to produce a single STRUCT type grouping multiple values together. Scalar and array subqueries are normally not allowed to return multiple columns, but can return a single column with STRUCT type.

To be perfectly honest, whenever I have to use Group By in a query, I'm tempted to return back to raw SQL. I find the SQL syntax terser, and more readable than the LINQ syntax with having to explicitly define the groupings. In an example like those above, it's not too bad keeping everything in the query straight. However, once I start to add in more complex features, like table joins, ordering, a bunch of conditionals, and maybe even a few other things, I typically find SQL easier to reason about. Once I get to the point where I'm using LINQ to group by multiple columns, my instinct is to back out of LINQ altogether.

However, I recognize that this is just my personal opinion. If you're struggling with grouping by multiple columns, just remember that you need to group by an anonymous object. Pandas comes with a whole host of sql-like aggregation functions you can apply when grouping on one or more columns. This is Python's closest equivalent to dplyr's group_by + summarise logic.

Here's a quick example of how to group on one or multiple columns and summarise data with aggregation functions using Pandas. Let's start be reminding ourselves how the GROUP BY clause works. An aggregate function takes multiple rows of data returned by a query and aggregates them into a single result row.

Similar to the SQL GROUP BY clause, panda.DataFrame.groupBy() function is used to collect the identical data into groups and perform aggregate functions on the grouped data. Group by operation involves splitting the data, applying some functions, and finally aggregating the results. Sometimes we may require to add group by with multiple columns, if we have mysql query then we can do it easily by using sql query. But if you want to give multiple columns in groupBy() of Laravel Query Builder then you can give by comma separated values as bellow example. The following example selects the range variable Coordinate, which is a reference to rows in table Grid. Since Grid is not a value table, the result type of Coordinate is a STRUCT that contains all the columns from Grid.

The USING clause requires a column list of one or more columns which occur in both input tables. It performs an equality comparison on that column, and the rows meet the join condition if the equality comparison returns TRUE. Corner cases exist where a distinct pivot_columns can end up with the same default column names. For example, an input column might contain both aNULL value and the string literal "NULL".

When this happens, multiple pivot columns are created with the same name. To avoid this situation, use aliases for pivot column names. Because the UNNEST operator returns avalue table, you can alias UNNEST to define a range variable that you can reference elsewhere in the query. If you reference the range variable in the SELECTlist, the query returns a STRUCT containing all of the fields of the originalSTRUCT in the input table. The HAVING clause is used instead of WHERE with aggregate functions. While the GROUP BY Clause groups rows that have the same values into summary rows.

The having clause is used with the where clause in order to find rows with certain conditions. The having clause is always used after the group By clause. SQL GROUP BY multiple columns This clause will group all employees with the same values in both department_id and job_id columns in one group. The following statement groups rows with the same values in both department_id and job_id columns in the same group then returns the rows for each of these groups.

After grouping we can pass aggregation functions to the grouped object as a dictionary within the agg function. This dict takes the column that you're aggregating as a key, and either a single aggregation function or a list of aggregation functions as its value. The group by clause can also be used to remove duplicates. The go to solution for removing duplicate rows from your result sets is to include the distinct keyword in your select statement. It tells the query engine to remove duplicates to produce a result set in which every row is unique. We can observe that for the expert named Payal two records are fetched with session count as 1500 and 950 respectively.

Note that the aggregate functions are used mostly for numeric valued columns when group by clause is used. Hi Friends, We are going to discuss about the group by multiple columns in rtf template. We will share the steps for how to use the multiple columns in the group by clause to show the data in the rtf template. We can group by multiple columns in the rtf template itself. We will show the detail syntax and the idea for how to use the group by with columns in the rtf template.

Here below is the detail about Group by multiple columns in rtf Template. Instructions for aggregation are provided in the form of a python dictionary or list. The dictionary keys are used to specify the columns upon which you'd like to perform operations, and the dictionary values to specify the function to run. This query contains aliases that are ambiguous in the SELECT list and FROMclause because they share the same name. SQL COUNT with group by and order by The GROUP BY makes the result set in summary rows by the value of one or more columns. The serial number of the column in the column list in the select statement can be used to indicate which columns have to be arranged in ascending or descending order.

If you've used ASP.NET MVC for any amount of time, you've already encountered LINQ in the form of Entity Framework. EF uses LINQ syntax when you send queries to the database. While most of the basic database calls in Entity Framework are straightforward, there are some parts of LINQ syntax that are more confusing, like LINQ Group By multiple columns. Criteriacolumn1 , criteriacolumn2,…,criteriacolumnj – These are the columns that will be considered as the criteria to create the groups in the MYSQL query. There can be single or multiple column names on which the criteria need to be applied.

SQL does not allow using the alias as the grouping criteria in the GROUP BY clause. Note that multiple criteria of grouping should be mentioned in a comma-separated format. Aggregate_function – These are the aggregate functions defined on the columns of target_table that needs to be retrieved from the SELECT query. In SQL, a view is a virtual table based on the result-set of an SQL statement. The fields in a view are fields from one or more real tables in the database. You can add SQL functions, WHERE, and JOIN statements to a view and present the data as if the data were coming from one single table.

When referencing a range variable on its own without a specified column suffix, the result of a table expression is the row type of the related table. Value tables have explicit row types, so for range variables related to value tables, the result type is the value table's row type. Other tables do not have explicit row types, and for those tables, the range variable type is a dynamically defined STRUCT that includes all of the columns in the table. The INTERSECT operator returns rows that are found in the result sets of both the left and right input queries. Unlike EXCEPT, the positioning of the input queries does not matter. Often you may want to group and aggregate by multiple columns of a pandas DataFrame.

Fortunately this is easy to do using the pandas.groupby()and.agg()functions. What if you like to group by multiple columns with several aggregation functions and would like to have - named aggregations. Fortunately this is easy to do using the pandas .groupby () and .agg () functions. We can use HAVING clause to place conditions to decide which group will be the part of final result-set. Also we can not use the aggregate functions like SUM(), COUNT() etc. with WHERE clause.

So we have to use HAVING clause if we want to use any of these functions in the conditions. However, MySQL enables users to group data not only with a singular column for consideration but also with multiple columns. We will explore this technique in the latter section of this tutorial. It's simple to extend this to work with multiple grouping variables.

Say you want to summarise player age by team AND position. You can do this by passing a list of column names to groupby instead of a single string value. I've checked 'Format Groups with Multiple Columns', but that result in the fact that the data is spread over the header/footer section. I don't want that since I only want to have the data only in the detail section and in multiple columns.

In addition to the regular aggregation results we expect from the GROUP BY clause, the ROLLUP extension produces group subtotals from right to left and a grand total. If "n" is the number of columns listed in the ROLLUP, there will be n+1 levels of subtotals. Once group is created, HAVING clause is used to filter groups based upon condition specified. When multiple statistics are calculated on columns, the resulting dataframe will have a multi-index set on the column axis.

The multi-index can be difficult to work with, and I typically have to rename columns after a groupby operation. The output from a groupby and aggregation operation varies between Pandas Series and Pandas Dataframes, which can be confusing for new users. As a rule of thumb, if you calculate more than one column of results, your result will be a Dataframe. For a single column of results, the agg function, by default, will produce a Series. The describe() output varies depending on whether you apply it to a numeric or character column.

As I said above groupby() method returns GroupBy objects after grouping the data. This object contains several methods (sum(), mean() e.t.c) that can be used to aggregate the grouped rows. In order to explain several examples of how to perform pandas groupby(), first, let's create a simple DataFrame with the combination of string and numeric columns. In the SELECT list, if there is an expression that does not have an explicit alias, BigQuery assigns an implicit alias according to the following rules.