Amazon DynamoDB, known for its stellar performance and seamless scalability, is becoming the NoSQL database of choice for many developers. Some of its key features include Time-to-Live (TTL), Streams, Auto Scaling, and Global Tables. To make the most of DynamoDB, it’s important to understand these features and how to use them effectively. DynamoDB Time-to-Live (TTL) […]
Download Your Favorite Videos with Python: A Simple Web Scraping Guide
Introduction: Are you tired of manually searching and downloading your favorite videos from websites? If so, Python has your back! In this blog post, we’ll introduce a simple Python script that helps you download MP4 files from a website and save them to a local directory. We’ll use the requests and BeautifulSoup libraries for web […]
Nginx in Data Lake Architectures: Enhancing Performance and Scalability
Introduction: Nginx is a high-performance, lightweight web server, reverse proxy server, and load balancer known for its stability, rich feature set, and low resource consumption. In this article, we will delve into the advantages of Nginx and how it can be applied in data lake strategies to optimize data processing and analytics. Advantages of Nginx: […]
Mastering Data Lakes: Unlocking Potential & Overcoming Obstacles
Introduction As the amount of data generated by organizations continues to grow exponentially, the need for effective data management solutions has become increasingly important. One such solution, the data lake, offers a centralized repository for storing raw, structured, semi-structured, and unstructured data from various sources. In this post, we’ll explore the pros and cons of […]
Streamline ETL: Unveiling Drop and Rename vs. Truncate Benefits
Introduction The ETL (Extract, Transform, Load) process is a critical component of data management and data warehousing. It involves extracting data from various sources, transforming it into a useful format, and loading it into a data warehouse or other data storage systems. An important aspect of ETL is efficiently managing the data in your target […]
The Power of BFS and DFS: Unraveling Graph Algorithms and Their Applications
Imagine navigating the vast landscape of the internet, finding the fastest route to your destination on a GPS, or even helping your favorite video game character solve a complex puzzle – all of these scenarios rely on powerful algorithms that are working behind the scenes. Welcome to the fascinating world of graph traversal algorithms, specifically […]
How to Perform Binary Search in Python: Tips and Best Practices
What is a binary search? A binary search is an algorithm for searching for a specific value in a sorted array or list. It works by repeatedly dividing the search range in half until the target value is found or determined to be not present in the array. Here’s how a binary search algorithm typically […]
python: how asynchronous tasks make web crawlers faster
1. Background In recent days, I find there is an interesting website （https://sc.chinaz.com/yinxiao/index.html） It carries some free resume templates and sound effects resources, which are great in my production. It is will be very convenient if I can collect these resources automatically instead of manual download each of them. To solve the problem, these python […]
Python: Why you should choose pytest instead of unittest?
1. What is Pytest? The pytest framework makes it easy to write small, readable tests and can scale to support complex functional testing for applications and libraries. 2. Why do I choose pytest instead of unittest? Although both frameworks are great for performing testing in python. Firstly, pytest is fast, efficient, and easy to work […]
PYTHON: A data structure you should know—Dictionary
1. What is a dictionary data structure? You may hear about Hash Map in other programming languages. The same concept in python is called the dictionary. Dictionaries are used to store data values in key and value pairs. The advantage of the way key-value storing makes the search very fast especially compared to the way […]