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Error Handling & Logging in Python

In Python software development, various types of errors will be encountered, such as syntax errors, logic errors and runtime errors. Syntax errors usually occur in the early stages of program development and are caused by incorrect syntax. Syntax errors are easily discovered when compiling a program. Logical errors are caused by improper logic implementation, such as a program accessing an unsorted list but assumes that it is sorted. Logical errors are one of the most difficult types of errors to track. Runtime errors are common errors, usually occur because all boundary situations are not considered. For example, try to access a file that does not exist. This tutorial will explain how to deal with errors in Python and how to log error logs to better understand problems in your application. us

Mar 06, 2025 am 11:44 AM

What Are Python Namespaces (And Why Are They Needed?)

Name clashes are commonplace. Imagine a classroom with multiple students sharing the same first name. Resolving this requires additional information, like a last name. Similarly, in programming, especially with large projects and external modules,

Mar 06, 2025 am 10:53 AM

How to Read Extremely Large Text Files Using Python

Faced with super large text files, ordinary text editors are unable to do so? Python may be the ideal solution for you. This article will demonstrate how to use Python to efficiently read and process such files. Get the file The experiment requires an oversized text file. This tutorial uses the hg38.txt file downloaded by the UCSC genomic Bioinformatics website as an example. We will use Python's open() function to open the file and get the file object. Read and write new files line by line The following code snippet demonstrates how to read the hg38.txt file line by line and write the first 500 lines to the output.txt file: with open('hg38.txt', 'r') as input_

Mar 06, 2025 am 10:08 AM

Write Professional Unit Tests in Python

Unit testing is the foundation for building reliable software. There are many types of tests, but unit testing is the most important. Unit testing allows you to feel assured that you have fully tested snippets of code as basic units and rely on them when building your program. They extend your reserves of trusted code beyond the scope of language built-in features and standard libraries. In addition, Python provides strong support for writing unit tests. Running example Before digging into all the principles, heuristics, and guides, let's look at a practical unit test example. Create a new directory called python_tests and add two files: car.py test_car.py By adding the init.py file

Mar 05, 2025 am 10:46 AM

Introduction to Network Programming in Python

This tutorial introduces Python sockets and demonstrates building HTTP servers and clients using the socket module. It also explores Tornado, a Python networking library ideal for long-polling, WebSockets, and applications needing persistent user co

Mar 05, 2025 am 10:36 AM

How to Use Python to Find the Zipf Distribution of a Text File

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

Mar 05, 2025 am 09:58 AM

Demystifying Python Recursion

In Python programming, many complex tasks can be broken down into simpler subtasks. Recursion is a powerful way to implement this decomposition, making the code more concise and easier to maintain. This tutorial will cover the concepts of recursion, the advantages, and how to use it in Python. What is recursion? Recursion is a way to solve a problem by solving a smaller instance of the problem. This approach can be applied to many challenges in programming. Advantages of using recursion Some of the advantages of using recursion include: Simplify code writing and make it easier to debug. Reduce the algorithm run time (as a function of input length). More efficient when solving very complex problems (especially those based on tree structures). Getting started with Python recursive functions Delivery

Mar 05, 2025 am 09:57 AM

Professional Error Handling With Python

In this tutorial you'll learn how to handle error conditions in Python from a whole system point of view. Error handling is a critical aspect of design, and it crosses from the lowest levels (sometimes the hardware) all the way to the end users. If y

Mar 04, 2025 am 10:58 AM

How to Read and Write CSV Files in Python

The CSV format is the most commonly used import and export format for databases and spreadsheets. This tutorial will give an introduction to the csv module in Python. You will learn about all the functions and classes that it makes available for you

Mar 04, 2025 am 09:50 AM

Is Django paging query inefficient? How to avoid full-table scanning of databases?

Inefficient Django pagination with large datasets causes slow response times due to full table scans. Optimizing involves using database-level pagination (LIMIT/OFFSET) via QuerySet.offset()/QuerySet.limit(), proper indexing, efficient QuerySets, an

Mar 03, 2025 pm 05:10 PM

How to efficiently add continuous sequence numbers to data columns in Python so that the same value has the same sequence number?

This article demonstrates efficient Python methods, using pandas, to add consecutive numbers to a data column based on identical values. It compares a basic sequential counter to a more descriptive ID incorporating group information, highlighting pa

Mar 03, 2025 pm 05:09 PM