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Learn Python Language By Videos Ảnh chụp màn hình

Giới thiệu về Learn Python Language By Videos

Python là một ngôn ngữ lập trình đa dụng

What is Python?

Python is a multipurpose programming language, and it has applicability pretty much anywhere that uses data, mathematical computation, or lines of code. That means unlike Java, for instance, Python isn't confined to being used for web development.

Like most programming languages, Python works in tandem with an interpreter that executes the finalized lines of codes. There are lots of free resources to learn the Python coding language, which, with its basis in English syntax, is considered one of the least fussy and most straightforward coding languages to learn and read.

One quick side note about Python: The serpentine namesake isn't an abbreviation or acronym, but rather, simply the result of Python creator Guido van Rossum being an avid Monty Python fan.

For anyone from corporate software engineers to casual coders, Python is a viable, accessible programming language.

Python can be used for small tasks, like powering a simple Reddit moderator bot, or executing extremely complex code, like analyzing massive amounts of financial data for a hedge fund.

Python can be used for a variety of coding purposes beyond simple web development. 5432action/Getty Images

Python's scalability is a huge part of its appeal: A Python-based application can maintain its same coding lingo even if a small garage-based start-up flourishes into a high-rise corporate headquarters.

Here's a sliver of the different ways Python goes beyond a basic web development tool:

• Data sciences: This field makes up a sizable user base of Python for both its computing and compiling of data libraries.

• Machine learning: Python's code can implement machine learning, which helps refine algorithm-based tech from voice recognition to content recommendation.

• Data mining: Python's nimbleness and scalability also makes it an attractive program to process and mine big data, which has seen a lot of mileage in the finance sector.

Advantages of Python

There are drawbacks to Python — for instance, its computing is often slower due its line-by-line execution style. However, its advantages make it an attractive coding choice.

Here are a few of the big advantages of Python:

• Popularity and access: Python has a huge community to support it, which helps maintain its accessibility to any skill level — it's also free and open-source software.

• Simple syntax: The Python coding language has an easy-to-learn syntax and uses English words.

• Readability: Lines of code written in Python are also easy to read. For instance, Python uses a nice, clean break in the form of a new line of code to complete a command, rather than semicolons or parentheses.

• Scalability: You can start a program in Python without having to worry about the arduous task of rewriting or adapting code for other platforms as you scale up.

Python is meant to be an easily readable language. Its formatting is visually uncluttered, and it often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but are rarely, if ever, used. It has fewer syntactic exceptions and special cases than C or Pascal

Development environments

See also: Comparison of integrated development environments § Python

Most Python implementations (including CPython) include a read–eval–print loop (REPL), permitting them to function as a command line interpreter for which the user enters statements sequentially and receives results immediately.

Other shells, including IDLE and IPython, add further abilities such as improved auto-completion, session state retention and syntax highlighting.

As well as standard desktop integrated development environments, there are Web browser-based IDEs; Sage Math (intended for developing science and math-related Python programs); PythonAnywhere, a browser-based IDE and hosting environment; and Canopy IDE, a commercial Python IDE emphasizing scientific computing.

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Last updated on Oct 31, 2021

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