In this article, we will discover the best practices for coding in Python, one of the most popular data science languages. The practices presented in the following sections are mostly based on PEP 8, the standard guide for writing code in Python. Check out our article or our Introduction to...
Reduced errors and bugs: If you follow the best coding practices and naming conventions, your code will have fewer errors and bugs. For example, if you don’t follow the standard naming conventions in python, you may name a variable full_name or fullName. Suppose that you have created the...
Learn software engineering and coding best practices to write Python code right and error free. In this book you'll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.Software engineering is difficult. Programs of any ...
As your application collects more data, adopting proper logging practices becomes crucial for swiftly and efficiently comprehending the overall functionality. This enables you to address issues before they impact end-users. In this article, we will delve into the best practices for logging in Python....
Checking the quality of Python code involves using tools like linters and static type checkers to ensure adherence to coding standards and detect potential errors. Writing quality code in Python requires following best practices, such as clear naming conventions, modular design, and comprehensive ...
Python Best Practices for More Pythonic Code The articles and tutorials in this section contain best practices and other “nuggets of wisdom” to help your write better, more idiomatic, and more Pythonic code. Here you’ll find specific resources that will teach you how to idiomatically use ...
Best coding practices every java developer should follow 引言 把标题翻译成中文在国内也是一个老生常谈的问题:编程习惯和编码规范。 这篇文章大部分观点和国内的规范习惯类似,令我好奇的是外国人是如何理解这些内容的? 注意本文的Tips排序是打乱的,个人把感兴趣放到了前面来了。这篇文章的评论区非常精彩,这里一并...
In recent times, Python has become the most used language across every domain of software engineering. We can use Python for data science, data engineering, DevOps automation, testing, etc. Considering the popularity of Python, we should also learn what are the best practices to develop Python...
Additionally, Python offers special features like its hashlib module for secure hashing or PyCrypto library for advanced encryption capabilities. Incorporating these tools into your coding toolbox not only ensures robust protection but also builds user trust in the safety and reliability of your platform...
Coding can sometimes be dull and tedious, so it helps to have a teacher who not only understands the language but makes it fun to learn, too. (Most Python courses on the online learning marketplace Udemy are great picks for this reason.) With those criteria in mind, here's a rundown ...