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ADVANCE PYTHON

Advance Python

Advanced Python refers to the use of more complex and sophisticated features and techniques of the Python programming language. Developers who are proficient in advanced Python can create more powerful and efficient applications, and can solve more complex problems in various domains such as data science, web development, scientific computing, and more.

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However, I can provide you with some popular libraries, frameworks, and tools used for advanced Python development:

Argparse

argparse is a Python module used to parse command-line arguments and options. It simplifies the process of creating user-friendly command-line interfaces for your Python programs by automatically generating help messages and handling various types of input.

Regular Expression

Regular expressions, often abbreviated as regex, are sequences of characters that define a search pattern. They're used for pattern matching within strings, allowing you to search, find, and manipulate text based on specific patterns.

Database

MySQL and SQLite are both popular relational database management systems (RDBMS), but they differ in their intended use cases and capabilities.MySQL is a popular open-source Database. In this course, We will learn both Databse Library with projects. 1: Sqlite3 2: MySQL

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CGI

CGI stands for Common Gateway Interface. It's a standard protocol for web servers to execute programs and generate dynamic web content in response to client requests. CGI allows web servers to interact with external programs or scripts, typically written in languages like Perl, Python, or PHP, to generate HTML pages dynamically.

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GUI

Tkinter is a built-in Python library used for creating graphical user interfaces (GUIs). It provides a set of tools and widgets for designing and developing desktop applications with a graphical interface. Tkinter is based on the Tk GUI toolkit, which originated as part of the Tcl scripting language. With Tkinter, developers can create windows, buttons, menus, text boxes, and other GUI elements, and define their ..

Networking

Socket programming involves writing programs that communicate with each other over a network using sockets. A socket is one endpoint of a two-way communication link between two programs running on the network. In socket programming, one program acts as a server, listening for incoming connections, while another program acts as ...

API using Python

API

API stands for Application Programming Interface. It's a set of rules, protocols, and tools that allow different software applications to communicate with each other. APIs define the methods and data formats that developers can use to interact with a software component, service, or system, abstracting away the implementation details.

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Web Scrapping

Web scraping is the process of extracting data from websites. It involves fetching web pages, parsing the HTML or other markup languages, and extracting the desired information. Web scraping can be done manually, but it's more commonly automated using scripts or specialized software tools. Web scraping is used for various purposes, such as gathering data for market research, monitoring...

Multithreading

Multithreading is a programming technique that allows multiple threads of execution to run concurrently within a single process. A thread is the smallest unit of execution within a process, and multithreading enables programs to perform multiple tasks simultaneously, taking advantage of modern multi-core processors.

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Whether you are looking for help with a specific Python problem

When it comes to advanced Python, I can provide information and guidance on various topics and techniques related to the language, including object-oriented programming, functional programming, decorators, generators and iterators, asynchronous programming, regular expressions, debugging and profiling, web development, data science, and machine learning.

My goal is to help developers and learners understand and master advanced Python concepts and tools, so that they can build more powerful and efficient applications, solve complex problems, and advance their skills and knowledge in Python development.

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