Python to LabVIEW

Hello, I've complete MS Software Engineering. I've 5-Year experience in Core Python development. My Core Skills are LAbView - Tensorflow - Pytorch - OpenCV - Deep Learning - Data Analysis K-mean - ID3 - Bayesian theorem - confusion matrix I'm excited with feeling that I would be able to satisfy your requirements Within Deadline. Please leave a message on my chat so we can discuss the project. Looking forward to your response, Best Regards: Aqeel Ahmed

Hello, I hope this finds you well. I have just seen your project requiring; Python LabVIEW I believe that my 10-year experience in this field is what you need right away. Avoid the headache of looking further. Let's save time and focus on the real task. My proposed timelines and budget are just placeholder and an open for negotiation to increase or decrease as per the full requirements at hand. Allow me to prove how better my review can be. Smile all the way! Click the message button, so initiate the conversation. Regards, Fridah

hello sir as i am computer engineer and i have master degree in cryptography besides i am certified labview developer so may i can help thanks

Hi, Dear Employer, I have read your job post carefully. I have over seven-plus years of experience at ✔python, ✔Django ✔Algorithm✔java, and others. Please feel free, and you may award me the task; I'd be happy and present you with the best products. Let's discuss this further via chat, and I'll start your project right now. Thanks! Al. A.

Hi, I have 10+ years of experience in LabVIEW and python. I can convert this code. please let me know, if you would like to proceed further. thanks

hmac could be achieved in this implemented below. However, I have quick question why do you need to build it on LabVIEW, is that you're placing it on RT or other platform where python is not supported? function hmac is input: key: Bytes // Array of bytesBold text message: Bytes // Array of bytes to be hashed hash: Function // The hash function to use (e.g. SHA-1) blockSize: Integer // The block size of the hash function (e.g. 64 bytes for SHA-1) outputSize: Integer // The output size of the hash function (e.g. 20 bytes for SHA-1) // Keys longer than blockSize are shortened by hashing them if (length(key) > blockSize) then key ← hash(key) // key is outputSize bytes long // Keys shorter than blockSize are padded to blockSize by padding with zeros on the right if (length(key) < blockSize) then key ← Pad(key, blockSize) // Pad key with zeros to make it blockSize bytes long o_key_pad ← key xor [0x5c blockSize] // Outer padded key i_key_pad ← key xor [0x36 blockSize] // Inner padded key return hash(o_key_pad ∥ hash(i_key_pad ∥ message))