Posts

Showing posts with the label Distributed Computing

Featured Post

Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

Image
 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...

Distributed Computing Why it is Popular

Distributed information systems are becoming more popular as a result of improvements in computer hardware and software, and there is a commensurate rise in the use of the associated technologies. Why distributed computing so popular With the increasing desire for business-to-business (B2B) communication and integration, technologies such as Service-Oriented Computing (SOC), Semantic Web, Grid, Agents/Multi-agents, peer-to-peer, etc., are receiving a high level of interest nowadays. Due to the revolution in the internet, implementation of SOC B2B integration (e.g. e-commerce, e-government, and e-healthcare) is popular Where lacking Building Web Services comprehensively needs further improvement, for instance, Quality of Service (QoS). Detection of service availability to achieve self-healing in the invocation process Service reuse, how best to define atomic services Service composition Future computing Meanwhile, it should be noted that Web Services play only a parti...