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High-level, readable, and efficient

Efficiency is one of Python's distinguishing qualities. Every programming language has to strike a balance between the resources of the machine and the programmer's time. With the guiding principle that "there should be one—and preferably only one—obvious way to do things," Python is biased in favor of the former. The positive is that developers can accomplish more with fewer lines of code as compared to more low-level implementation languages like Java or C++, thus there may be a slight learning curve as they become familiar with Python syntax. For startups who need to quickly develop applications and release them to market, this efficiency is very significant.
Python is renowned for excellent code readability, which increases the likelihood that a programme will make sense to developers who will be responsible for maintaining it months or years from now.

Beloved by data scientists

Python is one of the most widely used languages for data science and statistical analysis, along with R and Java. For data scientists, Python blends R's emphasis on carrying out complicated statistical operations with Java's appropriateness for creating high-traffic web applications. Python's vast library collection is perhaps another of its finest features. These libraries can help programmers complete difficult machine learning or statistical analysis jobs faster and with fewer lines of code than before. Tools for data processing and visualization (NumPy, SciPy, and matplotlib), data mining, and Natural Language Processing are some of the most well-liked packages (Pattern, NLTK). Python is the preferred language for businesses with data-intensive workflows, including YouTube, the New York Stock Exchange, and the National Web Service.

Python basics

• ● It’s object-oriented.
• ● Working on Linux, Windows, Mac, and the majority of other operating systems, it is cross-platform.

• ● The standard library for Python provides:
❖ HTML & XML
❖ JSON
❖ Email processing
❖ FTP, IMAP, and other Internet protocols are supported, and HTTP Server packages make it simple to develop servers.

• ● It is open-source and supported by a vibrant community for free.
• ● It is frequently used in place of PHP in the LAMP software stack.

The Python developer’s toolbox

What qualities ought a Python engineer possess? Fluency in SQL and database optimization are at the top of the list, along with experience with large-scale, high-traffic systems. Modular programming, object-oriented programming, and significant SQL knowledge are among the primary responsibilities and abilities of Python developers.