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
CoNLL-English NER Task (NER in English)

CoNLL-English NER Task en | ch Motivation Course Project review the pytorch framework and sequence-labeling task practice using the transformers of Hu

Kevin 2 Jan 14, 2022
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

GNES.ai 1.2k Jan 06, 2023
Text-Based zombie apocalyptic decision-making game in Python

Inspiration We shared university first year game coursework.[to gauge previous experience and start brainstorming] Adapted a particular nuclear fallou

Amin Sabbagh 2 Feb 17, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
This simple Python program calculates a love score based on your and your crush's full names in English

This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could ha

p.katekomol 1 Jan 24, 2022
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

Linear Multihead Attention (Linformer) PyTorch Implementation of reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer:

Kui Xu 58 Dec 23, 2022
Finetune gpt-2 in google colab

gpt-2-colab finetune gpt-2 in google colab sample result (117M) from retraining on A Tale of Two Cities by Charles Di

212 Jan 02, 2023
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata

spaCyOpenTapioca A spaCy wrapper of OpenTapioca for named entity linking on Wikidata. Table of contents Installation How to use Local OpenTapioca Vizu

Universitätsbibliothek Mannheim 80 Jan 03, 2023
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Blackstone is a spaCy model and library for processing long-form, unstructured legal text

Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f

ICLR&D 579 Jan 08, 2023
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together

SpeechMix Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together. Introduction For the same input: from datas

Eric Lam 31 Nov 07, 2022
This is the offline-training-pipeline for our project.

offline-training-pipeline This is the offline-training-pipeline for our project. We adopt the offline training and online prediction Machine Learning

0 Apr 22, 2022
Stack based programming language that compiles to x86_64 assembly or can alternatively be interpreted in Python

lang lang is a simple stack based programming language written in Python. It can

Christoffer Aakre 1 May 30, 2022
Open-source offline translation library written in Python. Uses OpenNMT for translations

Open source neural machine translation in Python. Designed to be used either as a Python library or desktop application. Uses OpenNMT for translations and PyQt for GUI.

Argos Open Tech 1.6k Jan 01, 2023
Transformers implementation for Fall 2021 Clinic

Installation Download miniconda3 if not already installed You can check by running typing conda in command prompt. Use conda to create an environment

Aakash Tripathi 1 Oct 28, 2021
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio

Vasileios Lioutas 28 Dec 07, 2022
Task-based datasets, preprocessing, and evaluation for sequence models.

SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models. SeqIO is a library for processing sequential data to be fed into downst

Google 290 Dec 26, 2022
Code and data accompanying Natural Language Processing with PyTorch

Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning By Delip Rao and Brian McMahan Welcome. This is a

Joostware 1.8k Jan 01, 2023
Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

Udit Arora 19 Oct 28, 2022