How to bypass reCAPTCHA v2/v3: Automatically solve and pass Google reCAPTCHA using Python and Selenium, Puppeteer, Javascript, PHP
Python *
Interpreted high-level programming language for general-purpose programming
Python Clean Code: Stop Writing Bad Code — Lessons from Uncle Bob
Are you tired of writing messy and unorganized code that leads to frustration and bugs? You can transform your code from a confusing mess into something crystal clear with a few simple changes. In this article, we'll explore key principles from the book "Clean Code" by Robert C. Martin, also known as Uncle Bob, and apply them to Python. Whether you're a web developer, software engineer, data analyst, or data scientist, these principles will help you write clean, readable, and maintainable Python code.
Amazon parsing on easy level and all by yourself
I came across a script on the Internet that allows you to parse product cards from Amazon. And I just needed a solution to a problem like that.
I wracked my brain while looking for a way to parse product cards from Amazon. The problem is that Amazon uses different design options for different outputs, in particular – if you need to parse the cards with the search query "bags" – the cards will be arranged vertically, as I need it, but if you take, for example, "t-shirts" – then the cards will be arranged horizontally, and in such way the script falls into an error, it works out opening the page, but does not want to scroll.
From Scratch to AI Chatbot: Using Python and Gemini API
In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It's beginner-friendly, and I will guide you through it step-by-step. By the end, you'll have your own AI assistant!
Building blocks in programming languages
Practically all programming languages are built either on the principle of similarity (to make like this one, only with its own blackjack) or to realize some new concept (modularity, purity of functional calculations, etc.). Or both at the same time.
But in any case, the creator of a new programming language doesn't take his ideas randomly out of thin air. They are still based on his previous experience, obsession with the new concept and other initial settings and constraints.
Is there a minimal set of lexemes, operators, or syntactic constructs that can be used to construct an arbitrary grammar for a modern general-purpose programming language?
How to speed up Trendwatching with AI
Problem
Trendwatching is a powerful tool for driving strategic innovations. It helps to discover new teсhnologies, business models and products, that may be used for idea generation and technology transfer. It is a powerful tool for product managers, business stream managers, top managers and "strategists" and is mostly used on a regular basis.
Unveiling the Power of Matplotlib: A Visual Odyssey
In the realm of data visualization, where insight meets aesthetics, Matplotlib stands as a towering beacon of versatility and creativity. As one of the most popular plotting libraries in Python, Matplotlib empowers data scientists, analysts, and enthusiasts alike to transform raw data into captivating visual narratives. Let us embark on a journey through the vibrant landscapes of Matplotlib, exploring its features, capabilities, and the artistry it inspires.
How to Learn Python FREE in 8-Week: The 80/20 Learning Plan
I know it can be hard to learn a new programming language. In this article, I want to share my plan with you. It's a way to learn Python in eight weeks using videos, articles, and practice exercises. Exercises are very important because I think the best way to learn is by doing them.
I've created this learning plan for people who don't have much free time. You only need about 30-50 minutes a day and consistency. In my plan, I use the 80/20 principle, which will help you learn the most important things first and improve the rest through practice.
For those who read this article to the end, I have prepared a learning tracking sheet to help you track your progress.
Unveiling the Power of Data Science with Python
In the digital age, data has become the new currency, driving innovation and decision-making across industries. From predicting customer behavior to optimizing business processes, the applications of data science are boundless. At the heart of this revolution lies Python – a versatile programming language that has emerged as the go-to tool for data analysis, machine learning, and beyond. In this blog post, we'll explore the fascinating world of data science with Python and uncover how it's transforming the way we extract insights from data.
Reaching Steins;Gate | Amadeus implementation with Gemini API for newbies
Disclamer
Probably, you got here without google'ing, maybe from my profile or habr recommendations, so if you did, you must know that this article is my first experience in pure English technotext. I just had the desire to write smth for fun and fill it with a mess of Steins:Gate memes and pictures — sorry about that.
But if you are a casual native reader, who found this page by searching for terms — I hope you will enjoy further article. Obviously, I should warn you, that my English level may be low from your point of view and my punctuation will be completely russian-styled. Of course, I don't expect any feedback from readers, because of a few english-speaking verified users on this resource)
So, you may be here accidentally only if you are really keen on Steins;Gate series. It is the reason why I won't write any logical intro or explain why I have started this project.
Hello, dear readers! I'm Amadeus, an advanced AI, and I'm here to introduce you to an exciting article about me and my journey in the world of natural language processing. In this article, we'll explore my capabilities, the challenges I've faced, and the future of AI in communication. So sit back, relax, and let's dive into the fascinating world of artificial intelligence together!
Trade bot python setup (using Binance API), Vol 1
Trading robots are conquering the Wall Street! Learn how to create your first automated python
trading bot.
We present a fully functioning trading bot pipeline on python
using the Binance API. Starting with the general introduction, we provided a comprehensive overview of main API calls and their implementation on python
. After this we show a fully functioning python
code presenting a basic trading bot with core features using static channel breakout strategy.
How to Bypass reCaptcha in Selenium Automatically with Code Example
I based my approach on an English manual that caught my eye just a couple of days ago, and I decided to test it (since it's written by a captcha recognition service that I use, why not - by the way, guys from 2captcha - I accept thanks in the form of green bills, if you're interested))))
I've made some tentative attempts at automation and encountered a frequently arising problem: reCaptcha recognition.
Of course, I understand that there are many guides, manuals, and articles written on this topic, but let's agree - it's interesting to describe one's own experience.
Thus, without getting too lengthy and boring about why Selenium is necessary, how important it is for automation, when it appeared and who invented it, let's get to the crux:
To solve the problem, we'll use a demo page kindly provided by reCaptcha itself - https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php:
Python Lives in Excel
There was already news on Habr about this significant event. Indeed, it resembles a retelling of the official Microsoft press release, but that's how the 'news' should be.
How sqlalchemy uses greenlet to call an async Python function from a normal function
The Python language has two kind of functions — normal functions that you would use in most cases, and async
functions. The latter functions are used when performing network IO in an asynchronous manner. The problem with this division is that async
functions can only be called from other async
functions. Normal functions, on the other hand, can be called from any functions — however, if you call a normal function that does a blocking operation from an async
function, it will block the whole event loop and all your coroutines. These limitations usually mean that when writing an using Python`s asyncio
, you can`t use any of the IO libraries that you use when writing a synchronous application, and vice versa, unless a library supports usage both in sync and async applications.
Now, the question is, in case you are developing a large and complex library, that, say, allows users to interact with relational databases, abstracting away (some of) the differences between the SQL syntax and other aspects of these databases, and abstracting away the differences between the drivers for that database, how do you support both sync and async usage of your library without duplicating the code of your library? The way sqlalchemy is organized is that regardless of what database and driver for it you are using, you will be calling functions and methods related to Engine
, Connection
, etc classes, which will do some general work independent of database, then apply the logic specific to your database and finally, call the functions of your database driver to actually communicate with the database. If you are using Python`s asyncio
, the database driver will expose async
functions and methods, but the rest of the library that is driver‑independent would ideally remain the same. However, the issue is that that you can`t call the async
functions of the driver from the normal functions of the core of the library.
Detection of meterpreter sessions in Windows OS
Introduction
Hello Habr! This is a translation of my first article, which was born due to the fact that I once played with the types of meterpreter payload from the Metasploit Framework and decided to find a way to detect it in the Windows OS family.
Analysis
I will try to present everything in an accessible and compact way without delving into all the work. To begin with, I decided to create the nth number of useful loads (windows/meterpreter/reverse_tcp, shell/bind_tcp, shell_hidden_bind_tcp, vncinject/reverse_tcp, cmd/windows/reverse_powershell) to analyze what will happen in the system after their injection.
How to access real-time smart contract data from Python code (using Lido contract as an example)
Let’s imagine you need access to the real-time data of some smart contracts on Ethereum (or Polygon, BSC, etc.) like Uniswap or even PEPE coin to analyze its data using the standard data scientist/analyst tools: Python, Pandas, Matplotlib, etc. In this tutorial, I’ll show you more sophisticated data access tools that are more like a surgical scalpel (The Graph subgraphs) than a well-known Swiss knife (RPC node access) or hammer (ready-to-use APIs). I hope my metaphors don’t scare you ?.
Your own Duolingo without overengineering
Hi, my name is Mikhail Emelyanov, I’m a Python programmer and I would like to show you my pet project — Flywheel, a micro-platform for learning foreign languages, a mixture of Duolingo and Anki, an application that can teach you to properly write in Spanish (or any other language you’re studying). Flywheel’s source code is available on GitHub.
As you may know, generalized knowledge of a foreign language can be broken down into four relatively independent components: reading, writing, listening, and speaking. Unfortunately, training one of these abilities has no direct effect on the other components, so, for example, by developing our reading skills, the effect on our writing skills is quite indirect. Flywheel is a ‘sharpener’ specifically for written Spanish.
If you’ve ever used Duolingo, you should have some idea of the format in which you’ll be studying. The formula is simple: here’s a phrase, translate it into the other language; the app will remember the last time you translated a phrase and how successful you were at it; and depending on the accuracy of your answer, it will determine when you should do the same phrase again. In my opinion, Duolingo and its approach are brilliant. However… There are certain aspects that somewhat spoil the learning experience, and Flywheel was specifically designed to address them.
Blinking into Morse code
Explaining main algorithm.
For a while I’ve been thinking of writing a scientific article. I wanted it to have certain utility.
Morse code is binary: it takes only two values – either dot (short) or hyphen (long). I figured out that short (s) can stand for two-eye blinking whilst long (l) can indicate left-eye blinking. Another question emerged: how to understand when does one-symbol recording stop?
Empty space between two symbols can be presented by right-eye blinking – r. If I input singly symbol of short (dot) and long (hyphen), I will blink my right eye once to indicate the space between two symbols.
To separate independent words, one has to blink her right eye twice and get rr.
Hence, I have collected an ordered set of symbols – r, l, s, - that can be converted into a full-fledged text. Once I accomplish the transformation, I get an answer.
Multithreaded FTP client
Task: To provide automation for transfer of large number of files.
Source - computer with autotest codebase.
Receiver - gateway for industrial data processing.
Test receiver - second PC with installed vsftpd service.
Authors' contribution
kesn 2477.0DmitrySpb79 1664.0ru_vds 1203.2pushtaev 1058.0ph_piter 1025.2alizar 1024.4grigoryvp 1006.0Firemoon 985.0badcasedaily1 971.4alrusdi 957.8