Mathematica Json

[Jkobe Peoples]

TheAmazon States Language provides several intrinsic functions, also known as intrinsics, that help you perform basic data processing operations without using a Task state. Intrinsics are constructs that look similar to functions in programming languages. They can be used to help payload builders process the data going to and from the Resource field of a Task state.

The States.Array intrinsic function takes zero or more arguments. The interpreter returns a JSON array containing the values of the arguments in the order provided. For example, given the following input:

This intrinsic function takes two arguments. The first argument is an array, while the second argument defines the chunk size. The interpreter chunks the input array into multiple arrays of the size specified by chunk size. The length of the last array chunk may be less than the length of the previous array chunks if the number of remaining items in the array is smaller than the chunk size.

In the previous example, the States.ArrayPartition function outputs three arrays. The first two arrays each contain four values, as defined by the chunk size. A third array contains the remaining value and is smaller than the defined chunk size.

Use the States.ArrayContains intrinsic function to determine if a specific value is present in an array. For example, you can use this function to detect if there was an error in a Map state iteration.

This function takes three arguments. The first argument is the first element of the new array, the second argument is the final element of the new array, and the third argument is the increment value between the elements in the new array.

For example, the following use of the States.ArrayRange function will create an array with a first value of 1, a final value of 9, and values in between the first and final values increase by two for each item:

This intrinsic function returns a specified index's value. This function takes two arguments. The first argument is an array of values and the second argument is the array index of the value to return.

The States.ArrayUnique intrinsic function removes duplicate values from an array and returns an array containing only unique elements. This function takes an array, which can be unsorted, as its sole argument.

This function takes two arguments. The first argument is the data you want to calculate the hash value of. The second argument is the hashing algorithm to use to perform the hash calculation. The data you provide must be an object string containing 10,000 characters or less.

Use the States.JsonMerge intrinsic function to merge two JSON objects into a single object. This function takes three arguments. The first two arguments are the JSON objects that you want to merge. The third argument is a boolean value of false. This boolean value determines if the deep merging mode is enabled.

Currently, Step Functions only supports the shallow merging mode; therefore, you must specify the boolean value as false. In the shallow mode, if the same key exists in both JSON objects, the latter object's key overrides the same key in the first object. Additionally, objects nested within a JSON object aren't merged when you use shallow merging.

The States.JsonMerge returns the following merged JSON object as result. In the merged JSON object output, the json2 object's key a replaces the json1 object's key a. Also, the nested object in json1 object's key a is discarded because shallow mode doesn't support merging nested objects.

The States.JsonToString function takes only one argument, which is the Path that contains the JSON data to return as an unescaped string. The interpreter returns a string that contains JSON text representing the data specified by the Path. For example, you can provide the following JSON Path containing an escaped value:

This function takes three arguments. The first argument is the start number, the second argument is the end number, and the last argument controls the seed value. The seed value argument is optional. If you use this function with the same seed value, it returns an identical number.

Use the States.StringSplit intrinsic function to split a string into an array of values. This function takes two arguments. The first argument is a string and the second argument is the delimiting character that the function will use to divide the string.

Use the States.UUID intrinsic function to return a version 4 universally unique identifier (v4 UUID) generated using random numbers. For example, you can use this function to call other AWS services or resources that need a UUID parameter or insert items in a DynamoDB table.

Use the States.Format intrinsic function to construct a string from both literal and interpolated values. This function takes one or more arguments. The value of the first argument must be a string, and may include zero or more instances of the character sequence . There must be as many remaining arguments in the intrinsic's invocation as there are occurrences of . The interpreter returns the string defined in the first argument with each replaced by the value of the positionally-corresponding argument in the Intrinsic invocation.

If the character \ needs to appear as part of the value without serving as an escape character, you must escape it with a backslash. The following escaped character sequences are used with intrinsic functions:

I recently had a job interview where I was given the following problem and I decided to tackle it with Mathematica vs. Groovy; it seemed very simple to accomplish using Mathematica: (Hopefully they take kindly to it)

Now we need to retrieve the user's information attached to these Id values; although not specifically stated I assumed these could be found at Thus, we simply import these values and, like before, wrap them in a Dataset.

Finally, I will create a final list which is essentially my required report, which will be a list of pairs. Each pair will contain the unique user name as well as the count of how many times that unique user name appeared in the original list. I put this in TableForm just for aesthetic value. This can then be exported to the desired format later on if necessary.

In conclusion, I think that in the future using Mathematica in working with REST API's could and should be allowed if not encouraged as a proper scripting languages in many commercial and industrial settings. So - what do you guys think?? Is this better or worse than what could be done in Groovy or other scripting languages? Also, I feel that I could condense and optimize my code in areas and would love to hear feedback on that.

Cool! I've completed a programming test for a job using WL before. Regarding the part where you felt there was a more elegant way, I would suggest using JoinAcross. So if posts and users are your imported datasets then you can do:

No need to restrict yourselves to RESTful APIs, I think (although they will be by far the most useful). You can also use the ServiceConnect framework to link to random, poorly designed websites that don't support any real API, e.g. A ServiceConnection for Wolfram Community

I think a track with basic things, from reading .json files from disk into the nice datasets to eventually operating on a live data set will be awesome. Small steps, sort of thing. And then analytics and graphs etc. I can see it being visited quite a bit.

Yeah this file seems to load fine for me using the code I showed above. Again, you might want to update your kernel to the latest version. Also, you need the square brackets because they are part of the official RawJSON format =)

Wow! Right, I think the way you have explained things is really, really good. I am only starting out after many years not using Mathematica and I am keen to do some data analytics on Firebase data. This will already help me I think.Thanks!!

Thanks for your feedback Henk! I am really glad it could offer you some insight. If you need any help working with Firebase I would happy to point you in the right direction. It may even be fun to make another community post about how to work with Firebase specifically.

The BigInt type is an arbitrary length integer. Its behavior is similar to C's integer types (e.g. division truncates to zero), except it can grow indefinitely. BigInts are specified with a number literal and an n suffix.

NaN is contagious: if you provide it as an operand to any mathematical operation, the result will also be NaN. NaN is the only value in JavaScript that's not equal to itself (per IEEE 754 specification).

The + operator is overloaded for strings: when one of the operands is a string, it performs string concatenation instead of number addition. A special template literal syntax allows you to write strings with embedded expressions more succinctly. Unlike Python's f-strings or C#'s interpolated strings, template literals use backticks (not single or double quotes).

JavaScript distinguishes between null, which indicates a deliberate non-value (and is only accessible through the null keyword), and undefined, which indicates absence of value. There are many ways to obtain undefined:

However, this is rarely necessary, as JavaScript will silently perform this conversion when it expects a boolean, such as in an if statement (see Control structures). For this reason, we sometimes speak of "truthy" and "falsy", meaning values that become true and false, respectively, when used in boolean contexts.

The Symbol type is often used to create unique identifiers. Every symbol created with the Symbol() function is guaranteed to be unique. In addition, there are registered symbols, which are shared constants, and well-known symbols, which are utilized by the language as "protocols" for certain operations. You can read more about them in the symbol reference.

let and const declared variables still occupy the entire scope they are defined in, and are in a region known as the temporal dead zone before the actual line of declaration. This has some interesting interactions with variable shadowing, which don't occur in other languages.

3a8082e126