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Prepare Python Techlead Job Interview: Questions from Easy to Complex Ones
The content provides insights into Python programming, addressing general questions about the language, its features, and intermediate concepts. Key topics include data types, functions, exception handling, and object-oriented programming. Additionally, it covers team leadership practices, emphasizing code quality, task prioritization, debugging strategies, and mentoring techniques for new team members.
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Prepare Kafka Job Interview: Questions from Easy to Complex Ones
The content outlines various levels of questions related to Kafka, including fundamentals, architecture, configuration, and advanced optimizations. It covers basic definitions of components like producers, consumers, and brokers; intermediate concepts include replication and offset management; and advanced topics focus on performance tuning, fault tolerance, and stream processing, assessing Kafka expertise comprehensively.
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Advanced Configuration of Kafka Listeners for Seamless Docker and External Client Connectivity
Configuring Apache Kafka in environments like Docker or cloud platforms such as AWS poses challenges that often arise from managing listeners. Proper configuration of Kafka listeners is critical to ensuring seamless broker-client communication, regardless of whether clients are local, within Docker, or distributed across different network environments. This article delves into the conceptual framework behind…
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Introduction to Kafka: Revolutionizing Real-Time Data Streaming Across Industries
In an age where businesses must process large volumes of data in real-time, having the right tools to manage and make sense of these information streams has become essential. Apache Kafka is a popular solution in this space, providing a robust, fault-tolerant platform for building real-time data pipelines and streaming applications. Originally developed by LinkedIn…
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Configure Your Development Environment for Streamlit
Want to start with Streamlit and start using its potential ? First you will need to configure the developement environment on your computer. Let’s do it ! 1. System Requirements 2. Install Python and Virtual Environment 3. Install Streamlit and Core Libraries Additional Libraries: if need : 4. Development Workflow 5. Run and Test Streamlit…
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Managing Python Dependencies with requirements.txt
Using a requirements.txt file is a great approach for managing dependencies, especially for sharing your project or deploying it. Here’s how you can do it: 1. Create requirements.txt File List all dependencies in the requirements.txt file. Here’s an example based on your multi-page Streamlit app: Add any additional libraries your app might need. 2.…
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