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C++ vs JSON: What are the differences?
Introduction:
C++ and JSON are both widely used in the world of programming, but they serve different purposes and have distinct characteristics. Understanding the key differences between C++ and JSON is crucial in determining which one to use for a particular task. This Markdown code presents the main differences between C++ and JSON.
Syntax and Data Types: C++ is a programming language that follows a specific syntax and has its own set of data types, including integers, floating-point numbers, characters, and arrays. On the other hand, JSON is a data format that uses a simplified syntax to represent data structures and values. It supports only a few data types, such as strings, numbers, booleans, arrays, and objects.
Purpose: C++ is a general-purpose programming language that allows developers to build complex applications and perform system-level programming. It offers a wide range of features and is suitable for tasks that require low-level control and high-performance computation. JSON, on the other hand, is mainly used for data interchange between systems. It provides a lightweight and human-readable format for transmitting data between different platforms.
Programming Paradigm: C++ follows an imperative programming paradigm, where developers write a sequence of statements to manipulate data and control the program flow. It also supports object-oriented programming, where objects encapsulate data and behavior. JSON, on the other hand, is a data format and does not provide a programming paradigm. It is used to represent structured data, but does not include features for performing computations or defining behavior.
Compilation and Interoperability: C++ code needs to be compiled into machine code before it can be executed. It can be compiled into a standalone executable or linked with other libraries to create a larger program. On the other hand, JSON is a text-based format that does not need to be compiled. It can be easily parsed and generated by different programming languages, making it highly interoperable.
Flexibility: C++ offers a high degree of flexibility and allows developers to have fine-grained control over memory management and performance optimization. It supports features like pointers, manual memory allocation, and low-level programming constructs. JSON, on the other hand, is designed to be simple and easy to use. It does not provide advanced features or flexibility for memory management or performance optimization.
Error Handling: In C++, developers need to handle errors explicitly by using constructs like try-catch blocks or error codes. They have full control over error handling and can define custom error handling mechanisms. In JSON, error handling is not as explicit. If JSON data is malformed or does not conform to the expected structure, parsing or processing errors may occur, but they need to be handled by the program using JSON.
In summary, C++ is a powerful programming language that offers flexibility, control, and high-performance capabilities for building complex applications. JSON, on the other hand, is a lightweight data format used for data interchange between systems and provides simplicity, interoperability, and human readability.
Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?
Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS
- The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv
import json
with open("your_input.csv", "r") as f:
csv_as_dict = list(csv.DictReader(f))[0]
with open("your_output.json", "w") as f:
json.dump(csv_as_dict, f)
The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json
It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.
A lot depends on the last two pieces, but the converting itself is really pretty neat.
I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.
This should be pretty doable in any language. Go with whatever you're most familiar with.
That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.
As a personal research project I wanted to add post-quantum crypto KEM (key encapsulation) algorithms and new symmetric crypto session algorithms to openssh. I found the openssh code and its channel/context management extremely complex.
Concurrently, I was learning Go. It occurred to me that Go's excellent standard library, including crypto libraries, plus its much safer memory model and string/buffer handling would be better suited to a secure remote shell solution. So I started from scratch, writing a clean-room Go-based solution, without regard for ssh compatibility. Interactive and token-based login, secure copy and tunnels.
Of course, it needs a proper security audit for side channel attacks, protocol vulnerabilities and so on -- but I was impressed by how much simpler a client-server application with crypto and complex terminal handling was in Go.
$ sloc openssh-portable
Languages Files Code Comment Blank Total CodeLns
Total 502 112982 14327 15705 143014 100.0%
C 389 105938 13349 14416 133703 93.5%
Shell 92 6118 937 1129 8184 5.7%
Make 16 468 37 131 636 0.4%
AWK 1 363 0 7 370 0.3%
C++ 3 79 4 18 101 0.1%
Conf 1 16 0 4 20 0.0%
$ sloc xs
Languages Files Code Comment Blank Total CodeLns
Total 34 3658 1231 655 5544 100.0%
Go 19 3230 1199 507 4936 89.0%
Markdown 2 181 0 76 257 4.6%
Make 7 148 4 50 202 3.6%
YAML 1 39 0 5 44 0.8%
Text 1 30 0 7 37 0.7%
Modula 1 16 0 2 18 0.3%
Shell 3 14 28 8 50 0.9%
Pros of C++
- Performance203
- Control over memory allocation108
- Cross-platform99
- Fast98
- Object oriented85
- Industry standard59
- Smart pointers48
- Templates38
- Gui toolkits17
- Raii17
- Flexibility14
- Generic programming14
- Control14
- Metaprogramming12
- Hardcore10
- Full-fledged containers/collections API5
- Many large libraries5
- Simple5
- Large number of Libraries4
- Performant multi-paradigm language4
- Way too complicated3
- Close to Reality1
- Plenty of useful features1
Pros of JSON
- Simple5
- Widely supported4
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Cons of C++
- Slow compilation8
- Unsafe8
- Over-complicated6
- Fragile ABI6
- No standard/mainstream dependency management5
- Templates mess with compilation units4
- Too low level for most tasks3
- Compile time features are a mess1
- Template metaprogramming is insane1
- Segfaults1
- Unreal engine1
Cons of JSON
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What is C++?
What is JSON?
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