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Match it numbers


‎Number Match - Numbers game on the App Store

Description

Number Match is an addictive puzzle game with simple rules: match pairs and clear the board to succeed. Playing Number Match is a useful pastime for your brain. Train your logic and concentration skills, and try to beat your high score!

Try a mobile version of the pen and paper game from your childhood. Now you can take your number game with you wherever you go. Solving free Number Match puzzles on mobile is much easier than using a pencil and paper.

How to play:

• The goal is to clear the board.
• Find pairs of equal numbers (1 and 1, 7 and 7) or pairs that add up to 10 (6 and 4, 8 and 2) on the number grid.
• Tap on the numbers one by one to cross out them and get points.
• You can connect pairs in adjacent horizontal, vertical and diagonal cells, as well as at the end of one line and the beginning of the next.
• When you run out of moves, you can add extra lines with the remaining numbers to the bottom.
• Speed up your progress with Hints if you are stuck.
• You win after all numbers are removed from the number puzzle grid.

There are a lot of ways to solve the puzzle. But it’s not as easy as it seems. Tease your brain and get the engaging experience!

What you get:

• Easy to learn logic puzzle
• Hours of gameplay for you to enjoy
• Daily challenges to win unique trophies
• Seasonal events to get unique medals
• Hints to help you reach the goal faster
• No time limit, so no rush, just relax
• New numbers game from a top developer!

Challenge your brain with Number Match puzzles and have fun! Play number games anywhere, anytime!

Version 1.10

- Performance and stability improvements

We read all your reviews and always try to make the game better. Please leave us some feedback if you love what we do and feel free to suggest any improvements. Challenge your brain with Number Match puzzle and have fun!

Ratings and Reviews

103.2K Ratings

It was great until I paid for it???

I’ve been playing this app for months. I really enjoy it and use it as a way to wind down and exercise my brain at the end of the day. I played it for a long time before I purchased the ad free version. As soon as I purchased the ad free version it got really weird. It was like all along I had been building my skill level and increasing my high scores and daily scores and feeling challenged constantly - then as soon as I paid for it things stopped matching up (like there were legitimately a significantly lower number of matches) and I was only getting scores in the 100 to 300 range where before I was getting the scores as high as 7000. it’s like it completely stopped being challenging at a level that it was previously. I don’t understand this but I’m not receiving satisfaction or exercise from playing the game anymore. that used to be that one round could go on and on with different combinations and different levels but as soon as I paid for the game that all stopped.

Hello, thanks for writing a review. We are extremely sorry to hear about your experience, could you please contact us at [email protected] at your earliest convenience, we'll do our best to help you.

Accessibility issue; please read!

I love this game, but there are two issues. I'm a user with limited/low vision, and both of these issues affect my ability to play the game. 1. Haptic vibration: In the past I relied on this game's haptic vibrations to tell me when I've run out of number matching options. In the past there was 1 buzz when a match was made, and then 3 buzzes when there are no more matches than can be made with the current number set. Since the update before the latest, the only time the haptic vibrations happen are when you make a number match. The 3 buzzes that tell you you're out of matches are gone, making this game more complicated & frustrating. It's one thing to know there are more matches and just not see them, but an entirely different thing entirely to flounder through the game trying to find matches when there aren't any left. Please bring the 3-buzz haptic vibrations back so I can play this game again. Legitimately, I can't play the game without those vibrations because of my vision. Dark mode: I understand other folks have requested a dark mode setting in the reviews. I'm also one of those folks who'd like a dark mode. There are times when the vibrant whiteness makes it harder for my eyes to focus, and having a dark mode would be really helpful/let me play the game longer without my eyes getting tired. Please read my review & consider fixing these issues. Thank you.

Hi! Thank you for sharing your thoughts with us. We're going to take your feedback on board as we continue to improve our service. Please stay tuned for our future updates! 😊 If you have other ideas on how the app can be improved, you are most welcome to share your them via [email protected]. We'd be glad to hear from you! 😊

Needs more challenges

I RARELY pay for apps, and I’ve never written a review, but here I am now. I really loved this game when I first downloaded it, it’s right up my alley- I love numbers, I like a realistic challenge, and I hate ads, so I splurged I upgraded for the few dollars. I don’t regret it, but I definitely wish there were more challenge options. I finished the first puzzle challenge quickly, and assumed there would be another challenge lined up, but I had to wait almost a week to get another challenge which was disappointing, especially because I paid into it.

I also feel like there should be different level options, outside of the challenges. Once you get the hang of the game the easier boards are really easy to complete. There should be some other incentives to keep playing. I have no suggestions on how to improve it other than overall more avenues to play. Maybe challenge other players? Maybe do a timed challenge? I’m not that creative, but I’m sure others can suggest ideas.

I only gave this three stars because usually when you pay for a game it makes it worthwhile, and I feel this isn’t. I really enjoy the game, but once the challenges are complete it looses its pizzazz, and the wait time to receive the next challenge is way too long. I love the game though!

Hello! Thanks for sharing your feedback. We are working hard to make the app more challenging and exciting for our players; that’s why we have added events, daily challenges, and tournaments. Moreover, we have recently added a small math crossword; you can find it in the settings of our app. We will consider introducing a timed challenge in our following updates. There’s no specific date for that, but we’ll try to add it soon. If you have any other suggestions – please don’t hesitate to let us know.

The developer, Easybrain, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Purchases
  • Location
  • Identifiers
  • Usage Data
  • Other Data

Data Linked to You

The following data may be collected and linked to your identity:

  • Purchases
  • Location
  • Identifiers
  • Usage Data
  • Diagnostics
  • Other Data

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data
  • Diagnostics

Privacy practices may vary, for example, based on the features you use or your age. Learn More

Information

Seller
Easybrain Ltd

Size
153.8 MB

Category
Games

Age Rating
12+ Infrequent/Mild Sexual Content and Nudity

Copyright
© 2021-2023 Easybrain Ltd.

Price
Free

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Data types. Variables. Lesson 4 of the course "Python. Introduction to Programming"

Data and data types

In real life, we perform various actions on the objects around us, or objects. We change their properties, endow them with new functions. By analogy with this, computer programs also manage objects, only virtual, digital ones. Until we reach the level of object-oriented programming, we will call such objects data .

Obviously, the data is different. Often a computer program has to work with numbers and strings. So in the last lesson we worked with numbers, performing arithmetic operations on them. The addition operation performed the change of the first number by the value of the second, and the multiplication increased one number by the number of times corresponding to the second.

Numbers, in turn, are also different: whole, real, can have a huge value or a very long fractional part.

In our introduction to the Python programming language, we will encounter three data types:

  • integers (type int ) are positive and negative integers, as well as 0 (for example, 4, 687, -45, 0).

  • floating point numbers (type float ) are fractional, they are also real numbers (for example, 1.45, -3.789654, 0.00453). Note: A period is used here to separate the integer and fractional parts, not a comma.

  • string (type str ) is a set of characters enclosed in quotation marks (for example, "ball", "What is your name?", 'dkfjUUv', '6589'). Note: Quotes in Python can be single or double; a single quoted character is also a string, there is no separate character type in Python.

Operations in programming

Operation is the execution of some actions on data, which in this case are called operands . The action itself is performed by operator - a special tool. If you were to build a table, your operands would be a board and a nail, and your operator would be a hammer.

So in mathematics and programming, the plus symbol is the operator of the addition operation with respect to numbers. In the case of strings, the same operator performs the concatenation operation , that is, the join. 

 >>> 10.25 + 98.36 108.61 >>> 'Hello' + 'World' 'Hello World'

It should be noted here that what an operator does in an operation depends not only on it, but also on the data types it operates on. A hammer in the event of an attack on you by a crocodile will cease to play the role of a construction tool. However, in most cases, operators are not generic. For example, the plus sign is not applicable if the operands are, on the one hand, a number, and on the other, a string. 

 >>> 1 + 'a' Traceback (most recent call last): File "", line 1, in  TypeError: unsupported operand type(s) for +: 'int' and 'str'

Here at line TypeError: unsupported operand type(s) for +: 'int' and 'str' the interpreter reports that a type error has occurred - an unsupported operand for types int and str .

Changing data types

The above operation can still be performed by turning the number 1 into the string "1". To change one data type to another, Python has a number of functions built into it (you will learn what a function is in principle in other lessons). Since we are only working with three types so far ( int , float and str ), consider the calls to their respective functions - int() , float() , str() . 

 >>> str(1) + 'a' '1a' >>> int('3') + 4 7 >>> float('3.2') + int('2') 5.2 >>> str(4) + str(1.2) '41.2'

These functions convert what is placed in their parentheses to an integer, float, or string, respectively. However, not everything can be converted: 

 >>> int('hi') Traceback (most recent call last): File "", line 1, in  ValueError: invalid literal for int() with base 10: 'hi'

A value error occurred here ( ValueError ) because a literal was passed (in this case, a string with literal characters) that cannot be converted to a number with base 10. However, the function int is not so simple: 

 >>> int('101', 2) 5 >>> int('F', 16) 15

If you know about different number systems, you will understand what happened here.

Let's pay attention to one more thing. Data can be called values ​​ , as well as literals . These three concepts ("data", "value", "literal") do not mean the same thing, but are close and are often used as synonyms. To understand the difference between them, where they are used, you need to study programming more deeply.

Variables

Data is stored in computer memory locations. When we enter a number, it is placed in some memory location. But then how do you know exactly where? How then to access this data? You need to somehow remember, mark the appropriate cell.

Previously, when writing programs in machine language, memory cells were accessed by specifying their registers, that is, they were specifically told where to put the data and where to get it from. However, with the advent of assemblers, when accessing data, they began to use verbal variables , which is much more convenient for humans.

The mechanism of association between variables and data may differ depending on the programming language and data types. For now, it is enough to remember that in the program the data is associated with some name and in the future it is possible to access them by this name-variable.

The word "variable" means that the entity can change, it is impermanent. Indeed, you will see this in the future, the same variable can be associated first with some data, and then with others. That is, its meaning can change, it is changeable.

In a Python program, as in most other languages, the relationship between data and variables is established using the sign = . Such an operation is called assignment (also called "assignment"). For example, expression sq = 4 means that the object representing the number 4, located in a specific memory area, is now referenced by the variable sq , and this object should be referred to by the name sq .

Variable names can be anything. However, there are a few general rules for writing them:

  1. It is desirable to give variables meaningful names that indicate the purpose of the data they refer to.

  2. Variable name must not match language commands (reserved keywords).

  3. A variable name must start with a letter or underscore (_), not a number.

  4. The variable name must not contain spaces.

To find out the value that a variable refers to while in interpreter mode, just call it, that is, write a name and press Enter. 

 >>>sq = 4 >>>sq 4

Here is a more complex example of working with variables in interactive mode: 

 >>> apples = 100 >>> eat_day = 5 >>>day=7 >>> apples = apples - eat_day * day >>>apples 65

Three variables appear here: apples , eat_day and day . Each of them is assigned its own value. Expression apples = apples - eat_day * day is complex. The subexpression to the right of the equals sign is executed first. After that, its result is assigned to the variable apples , as a result of which its old value (100) is lost. In the subexpression apples - eat_day * day , instead of variable names, their values ​​are actually used, that is, the numbers 100, 5 and 7.

Practical work

  1. Set the variable var_int to 10, var_float - value 8.4, var_str - "No".

  2. Increase the value stored in the variable var_int by 3.5 times. Associate the result with the variable var_big .

  3. Change the value stored in the variable var_float by decreasing it by one, bind the result to the same variable.

  4. Divide var_int to var_float and then var_big to var_float . Do not bind the result of these expressions to any variables.

  5. Change the value of variable var_str to "NoNoYesYesYes". When forming a new value, use the concatenation ( + ) and string repetition ( * ) operations.

  6. Print the values ​​of all variables.

Examples of solutions and additional lessons in the pdf-version and android-application of the course


Creating a relationship between two tables in Excel

Did you use the VLOOKUP function to move column data from one table to another? Because Excel now has a built-in data model, the VLOOKUP function has been deprecated. You can create a relationship between two tables based on matching data in them. You can then create Power View sheets or PivotTables and other reports with fields from each table, even if they come from different sources. For example, if you have customer sales data, you might want to import and link time intelligence data to analyze sales trends by year and month.

All tables in the workbook are listed in the PivotTable and Power View field lists.

When importing related tables from a relational database, Excel can often create these relationships in the data model that is generated in the background. In other cases, you need to create associations manually.

  1. Ensure that the workbook contains at least two tables and that each has a column that can be mapped to a column from another table.

  2. You can format the data as a table or import external data as a table on a new one.

  3. Give each of the tables a meaningful name: On the Table Tools tab, click Design > Table Name and enter a name.

  4. Verify that a column in one of the tables has unique values ​​without duplicates. Excel can only create relationships if one column contains unique values.

    For example, to associate customer sales with time intelligence, both tables must include a date in the same format (for example, 01/01/2012) and at least one table (time intelligence) must list all dates only once per column.

  5. Click Data > Relationships .

If command Relations is not available, which means the workbook contains only one table.

  1. In window Link management , click the button Create .

  2. In the Create Relationship window, click the arrow next to the Table field and select a table from the drop-down list. In a one-to-many relationship, this table must be a multi-member part. In the customer and time intelligence example, you must first select the customer sales table because there are likely to be many sales each day.

  3. For element Column (foreign) , select the column that contains data related to element Related column (primary key) . For example, if there is a date column in both tables, you must select that column now.

  4. In field Linked table , select a table that contains at least one column of data that is linked to the table selected in field Table .

  5. In field Associated column (primary key) , select the column that contains unique values ​​that match the values ​​in the column selected in field Column .

  6. Press button OK .

Learn more about relationships between tables in Excel

  • Relationship Notes

  • Example. Associating time intelligence data with airline flight data

  • "Relationships between tables may be required"

    • Step 1. Decide which tables to include in the relationship

    • Step 2: Find columns that can be used to create a path from one table to another

Connection notes

  • You will know if there are relationships by dragging fields from different tables into the PivotTable Field List. If you're not prompted to create a link, then Excel already has the information it needs to link the data.

  • Creating links is similar to using VLOOKUP: you need columns that contain matching data so that Excel can refer to rows in one table with rows from another table. In the time example, there must be date values ​​in the Customer table that also exist in the time analytics table.

  • In the data model, table relationships can be one-to-one (each passenger has one boarding pass) or one-to-many (many passengers on each flight), but not many-to-many. Many-to-many relationships result in circular dependency errors such as "Circular dependency detected". This error can occur if you create a direct connection between two tables with a many-to-many relationship, or indirect connections (a chain of table relationships in which each table is linked to the next one-to-many relationship, but a relationship is formed between the first and the last " many to many"). For more information, see Relationships between tables in the data model.

  • The data types in the two columns must be compatible. See Data Types in Data Models for details.

  • Other ways of creating associations may be easier to understand, especially if you don't know which columns to use. For more information, see Create a relationship in a Chart View in Power Pivot.

Example. Associating time intelligence data with airline flight data

You can learn about the relationships between both tables and the time intelligence using free data on the Microsoft Azure Marketplace. Some of these datasets are very large and require a fast Internet connection to download in a reasonable amount of time.

  1. Launch the Power Pivot add-in in Microsoft Excel and open the Power Pivot window.

  2. Click Get External Data > From Data Service > From Microsoft Azure Marketplace . The Table Import Wizard opens the Microsoft Azure Marketplace home page.

  3. Under Price (Price), click Free (Free).

  4. Under Category , click Science & Statistics .

  5. Search for DateStream and click the Subscribe button.

  6. Enter your Microsoft credentials and click Sign in . The Data Preview window opens.

  7. Scroll down and click Select Query .

  8. Press button Next .

  9. To import the data, select BasicCalendarUS and click Done . With a fast internet connection, the import will take about a minute. After execution, you will see a report on the status of moving 73,414 rows. Press Close .

  10. To import the second dataset, click Get External Data > From Data Service > From Microsoft Azure Marketplace .

  11. Under Type (Type), click Data Data).

  12. Section Price (Price) click Free (Free).

  13. Search for US Air Carrier Flight Delays and press Select .

  14. Scroll down and click Select Query .

  15. Press button Next .

  16. Click Done to import data. With a fast internet connection, the import will take about 15 minutes. After execution, you will see a 2,427,284 rows move status report. Click Close . You now have two tables in the data model. To link them, you need compatible columns in each table.

  17. Make sure the values ​​in the column DateKey in table BasicCalendarUS are in the format 01.01.2012 00:00:00. Table On_Time_Performance also has a date and time column FlightDate whose values ​​are in the same format: 01/01/2012 00:00:00. The two columns contain matching data of the same type, and at least one of the columns ( DateKey ) contains only unique values. In the following steps, you will use these columns to link tables.

  18. In the Power Pivot window, click PivotTable to create a PivotTable on a new or existing worksheet.

  19. In the field list, expand the table On_Time_Performance and click ArrDelayMinutes to add them to the value area. In the pivot table, you will see the total time of delayed flights in minutes.

  20. Expand table BasicCalendarUS and click MonthInCalendar to add it to the rows area.

  21. Notice that the PivotTable now lists months, but the number of minutes is the same for each month. We need the same values ​​indicating the relationship.

  22. In the field list, under "Table relationships may be required", click Create .

  23. In the Related Table field, select On_Time_Performance , and in the Related Column (Primary Key) field, select FlightDate .

  24. In the Table field, select BasicCalendarUS , and in the Column (Foreign) field, select DateKey . Press OK to create the connection.

  25. Note that the delay time is currently different for each month.

  26. In table BasicCalendarUS , drag YearKey to the rows area above item MonthInCalendar .

You can now divide arrival delays by year, month, and other calendar values.

Tips: Months are listed alphabetically by default. With the Power Pivot add-in, you can change the sort order so that they appear in chronological order.

  1. Table BasicCalendarUS must be open in a Power Pivot window.

  2. In the main table, click Sort by column .

  3. In the Sort field, select MonthInCalendar .

  4. In the To field, select MonthOfYear .

The PivotTable now sorts each "month and year" combination (October 2011, November 2011) by the number of the month in the year (10, 11). Changing the sort order is easy because channel DateStream provides all required columns for this script to work. If you are using a different time intelligence table, your steps will be different.

"Table relationships may be required"

As fields are added to the PivotTable, you will be notified that a relationship between the tables is required in order to deal with the fields selected in the PivotTable.

While Excel can tell you when a link is needed, it can't tell you which tables and columns to use, or whether a link between tables is possible. To get answers to your questions, try the following.

Step 1: Determine which tables to include in the relationship

If your model only contains a few tables, it's clear which ones to use. But for larger models, you may need help. One way is to use the Chart View in the Power Pivot add-in. Chart View provides a visualization of all the tables in the data model. With it, you can quickly determine which tables are separated from the rest of the model.

Note: You can create ambiguous relationships that are invalid when used in a PivotTable or Power View report. All your tables may be related in some way to other tables in the model, but when you try to merge fields from different tables, you will get the message "Relationships between tables may be required." The most likely reason is that you've encountered a many-to-many relationship. If you follow a chain of relationships between tables that connect to the tables you need, then you will likely find that there are two or more one-to-many relationships between tables. There is no easy workaround that will work in every situation, but you can try creating calculated columns to consolidate the columns you want to use in one table.

Step 2: Find the columns that can be used to create a path from one table to another

After you have determined which table is not related to the rest of the model, review the columns in it to determine if another column elsewhere in the model contains matching values.

Suppose you have a model that contains product sales by territory, and you subsequently import demographic data to see if there is a correlation between sales and demographic trends in each territory. Because demographic data comes from a variety of sources, their tables are initially isolated from the rest of the model.

Learn more