Python
Create a SQL REPL for JSON Files in Python
By combining Pandas for data handling, DuckDB for SQL querying, and a few Python modules to help make our lives a little easier, we can create an effective SQL REPL (Read–Eval–Print Loop) for JSON in 5 coding steps, and with relative ease.
A Practical Guide to Writing a Python Command Line Script
A well-structured Python script will clearly separate logic into functions, handle user input robustly, and provide meaningful feedback in case of errors.
A Practical Guide to Concurrency and Parallelism in Python
This article will walk you step-by-step through everything you need to know to leverage concurrency and parallelism in Python effectively.
Advanced File Handling in Python: Working with CSV, JSON, and XML
Learn some advanced Python file handling tips, and stay equipped with best practices for CSV, JSON and XML data.
Building Python CLI Applications: A Step-by-Step Tutorial
Learn to build command line interface Python apps in this step-by-step tutorial.
5 Tips for Writing Efficient Python Code for Data Analysis
Here are 5 starter tips for writing code that can contribute to your data analysis efficiency.
Python Decorators Unleashed [eBook]
This comprehensive guide will take your Python skills to the next level by exploring the world of decorators, which allow you to enhance functions and classes without cluttering your codebase.
NumPy Crash Course for Data Scientists
Learn the essentials of NumPy, a cornerstone in data science and machine learning. Master array operations, broadcasting, vectorization, and more.
Beautiful Soup Crash Course for Data Scientists
Explore the ins and outs of web scraping with Beautiful Soup. This guide covers basics to advanced topics, including parsing, tree navigation, asynchronous scraping, and data management.
Pandas Crash Course for Data Scientists
This in-depth, 3-part Pandas crash course covers everything from the core DataFrame and Series data structures to essential data manipulation operations to advanced analysis and visualization tools. Through concrete examples and code snippets, you’ll learn foundational Pandas to start wielding this versatile data analysis library for tasks.
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