@mearjunsingh
Software Engineer
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Feb 8, 2025 · 3 min read · Pandas CSV Work with CSV files, read and write like a boss. Example 1: Read a CSV file. df = pd.read_csv('file.csv') Example 2: Write a DataFrame to CSV. df.to_csv('output.csv', index=False) Handle CSVs like a data wizard. Pandas JSON Handle JSON ...
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Jan 3, 2025 · 5 min read · Pandas DataFrame Analysis View and analyze your data frames with built-in Pandas methods. Stats made simple! Example 1: Get a quick statistical summary. df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}) print(df.describe()) # Output: # A ...
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Dec 23, 2024 · 4 min read · Getting Started with Pandas Pandas is a powerful Python library for data manipulation and analysis. Pandas is your gateway to managing data effectively. First step: bring it to your project. It’s like Excel, but smarter and much less likely to crash ...
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Dec 23, 2024 · 6 min read · Introduction to NumPy NumPy is a powerful Python library for numerical computing. It simplifies numerical computations by performing efficient operations on large multidimensional arrays and matrices. Say goodbye to slow loops and hello to blazing sp...
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Sep 10, 2024 · 4 min read · Building a Django app is fun until you realize you need different settings for development and production. One day, I accidentally shared my secret keys with the whole internet. Oops. In this post, I’ll show you how I manage Django settings. It's a l...
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