A programming language with logic of Python, and syntax of all languages.

Overview

Pytov

The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities.

Installation

Install using pip install pytov, or via git: git clone https://github.com/Yuvix25/Pytov.git.

Usage

If was installed via pip:

$ pytov [path_to_your_pytov_file]

If was installed via git:

Run using Python:

$ cd [folder_of_installation]
$ cd pytov
$ python pytov.py [path_to_your_pytov_file]

Run using pre-built executables:

$ cd [folder_of_installation]
$ cd exe
$ pytov [path_to_your_pytov_file]

Syntax

Comments:

# this is a comment
// this is also a comment
/*
and this is a
multi
line
comment
*/

Variables:

x = 5 // let or var or type is not required
print(x)

If:

if 5 > 1{
    print("5 is greater than 1")
}
elif 1 > 5{ # else if 1 > 5 will work too!
    print("1 is greater than 5")
}
else {
    print("1 is equal to 5")
}

Loops:

For:

for i in range(10){
    print(i)
}
a = [1, 4, 7, 8]
for x in a{
    print(x)
    if x == 4{
        break // loop will stop when x == 4
    }
}

for (i = 5; i<10; i++){
    print(i)
}
// output: 5, 6, 7, 8, 9

While:

// loop the the block as long as x < 5
x = 0
while x < 5{
    print(x)
    x += 2
    // (break will work just the same here)
}

Switch:

// for more info about switch take a look at switch in js, it is exactly the same...
a = "hi"
switch a{
    case "hello":
        print("a=='hello'")
        break
    case "hi":
    case "hihi"
        print("a=='hi' or a=='hihi'")
        break
    default:
        print("a!='hi' and a!='hihi' and a!='hello'")
}

Functions:

(func or function or def) func_name(required_params, not_required_params){
    your_code_here
    // and if you want you can return like this: return value
}
function print_hi(times){ // required parameter
    for i in range(times){
        print("hi")
    }
}

def print_hi_default(times=3){ // not required parameter with default value of 3
    for i in range(times){
        print("hi")
    }
}

func mult(x, y){
    return x*y
}

print_hi(5) // output: hihihihihi
print_hi_default() // output: hihihi
print(mult(5, 2)) // output: 10

Imports:

test2.pv:

if __name__ == "main"{ // will be true when file will be runned directly
    x = 5
}
else if __name__ == "imported" { // will be true when file is imported
    x = 7
}

test1.pv:

x = 6
import test2 // you can also import like this: import "test2.pv"
print(x) // output will be 7

See Examples

Owner
Yuval Rosen
Yuval Rosen
An extensive UI tool built using new data scraped from BBC News

BBC-News-Analyzer An extensive UI tool built using new data scraped from BBC New

Antoreep Jana 1 Dec 31, 2021
Generate text line images for training deep learning OCR model (e.g. CRNN)

Generate text line images for training deep learning OCR model (e.g. CRNN)

532 Jan 06, 2023
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

huybery 60 Dec 31, 2022
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

YangHeng 567 Jan 07, 2023
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning English | 中文 ❗ Now we provide inferencing code and pre-training models

164 Jan 02, 2023
Use the power of GPT3 to execute any function inside your programs just by giving some doctests

gptrun Don't feel like coding today? Use the power of GPT3 to execute any function inside your programs just by giving some doctests. How is this diff

Roberto Abdelkader Martínez Pérez 11 Nov 11, 2022
Language-Agnostic SEntence Representations

LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. NEWS 2019/11/08 CCMatrix is

Facebook Research 3.2k Jan 04, 2023
Awesome-NLP-Research (ANLP)

Awesome-NLP-Research (ANLP)

Language, Information, and Learning at Yale 72 Dec 19, 2022
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

BADER ALABDAN 2 Oct 22, 2022
Google AI 2018 BERT pytorch implementation

BERT-pytorch Pytorch implementation of Google AI's 2018 BERT, with simple annotation BERT 2018 BERT: Pre-training of Deep Bidirectional Transformers f

Junseong Kim 5.3k Jan 07, 2023
Shellcode antivirus evasion framework

Schrodinger's Cat Schrodinger'sCat is a Shellcode antivirus evasion framework Technical principle Please visit my blog https://idiotc4t.com/ How to us

idiotc4t 27 Jul 09, 2022
Python library for Serbian Natural language processing (NLP)

SrbAI - Python biblioteka za procesiranje srpskog jezika SrbAI je projekat prikupljanja algoritama i modela za procesiranje srpskog jezika u jedinstve

Serbian AI Society 3 Nov 22, 2022
Seonghwan Kim 24 Sep 11, 2022
Converts text into a PDF of handwritten notes

Text To Handwritten Notes Converts text into a PDF of handwritten notes Explore the docs » · Report Bug · Request Feature · Steps: $ git clone https:/

UVSinghK 63 Oct 09, 2022
Long text token classification using LongFormer

Long text token classification using LongFormer

abhishek thakur 161 Aug 07, 2022
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

For better performance, you can try NLPGNN, see NLPGNN for more details. BERT-NER Version 2 Use Google's BERT for named entity recognition (CoNLL-2003

Kaiyinzhou 1.2k Dec 26, 2022
This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.

Text Summarizer This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text. Team Members This mini-project was

1 Nov 16, 2021
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

David Thorne 0 Feb 06, 2022
Backend for the Autocomplete platform. An AI assisted coding platform.

Introduction A custom predictor allows you to deploy your own prediction implementation, useful when the existing serving implementations don't fit yo

Tatenda Christopher Chinyamakobvu 1 Jan 31, 2022
Various capabilities for static malware analysis.

Malchive The malchive serves as a compendium for a variety of capabilities mainly pertaining to malware analysis, such as scripts supporting day to da

MITRE Cybersecurity 64 Nov 22, 2022