From the title of this topic, it is quite clear what I want to write about, not for Google, not for Apple, not for Meta, etc., but for myself, who am a programmer and has spent 8 years adapting to every leap and change in this technology.
Adaptation, when combined with persistence, will result in an experience that is created in an individual, whether intentionally or unintentionally.
I have not yet presented any official software or tool with artificial intelligence so that I can be an expert on it, but in the last two to three years, I have started more than 40 artificial intelligence projects for various programs and tools, and I have not published any of them yet. During the initial testing stages, I either gave up on them or found a similar tool in the market for this technology.
The highest honor and pleasure for one or more programmers working together on a project is to see their program run flawlessly. The next step, which is more enjoyable than
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| #!/usr/bin/env bash | |
| set -euo pipefail | |
| IFS=$'\n\t' | |
| # Function to print info messages | |
| info() { | |
| echo -e "\033[1;34m[INFO]\033[0m $*" | |
| } |
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| """ | |
| Advanced Multi-Cryptocurrency Wallet Scanner | |
| A professional-grade implementation for scanning blockchain addresses | |
| Author: Professional Development Team | |
| Version: 2.0.0 | |
| """ | |
| import os | |
| import sys | |
| import secrets |
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| import pandas as pd | |
| import yfinance as yf | |
| import numpy as np | |
| def download_stock_data(symbol, start_date, end_date): | |
| stock_data = yf.download(symbol, start=start_date, end=end_date) | |
| return stock_data | |
| def generate_signals(data): | |
| signals = pd.DataFrame(index=data.index) |
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| import os | |
| import sys | |
| import io | |
| import base64 | |
| import hashlib | |
| import logging | |
| import threading | |
| from pathlib import Path | |
| from typing import Optional, Dict, List, Tuple, Iterable, Union |
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| import random | |
| from typing import Sequence | |
| # Default per-octet inclusive ranges for the generated IPv4 address | |
| OCTET_RANGES: tuple[tuple[int, int], ...] = ( | |
| (31, 245), | |
| (31, 245), | |
| (33, 245), | |
| (66, 245), | |
| ) |
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| import sys | |
| from PyQt6.QtWidgets import QApplication, QGridLayout, QPushButton, QStyle, QWidget | |
| class Window(QWidget): | |
| def __init__(self): | |
| super().__init__() | |
| icons = sorted( |
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| { | |
| "workbench.colorCustomizations": { | |
| "editor.background": "#22242d", | |
| "editor.foreground": "#D4D4D4", | |
| "editor.selectionBackground": "#3f5e86", | |
| "editor.lineHighlightBackground": "#333a4578", | |
| "editorCursor.foreground": "#5cb5ff", | |
| "terminal.background": "#36373b", | |
| "terminal.foreground": "#D4D4D4", | |
| "terminal.selectionBackground": "#264F78", |
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| # credit by : Pymmdrza.github.io | |
| import random | |
| from datetime import date | |
| OS_CHOICES = { | |
| "Macintosh": ["68K", "PPC", "Intel Mac OS X"], | |
| "Windows": [ | |
| "Win3.11", | |
| "WinNT3.51", | |
| "WinNT4.0", |
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