Modules is one of the best feature of Python. Except some core modules, you can install what you need and keep your Python setup smooth.
Pandas makes moving data around straightforward, and ORC has become a reliable choice for analytical workloads. It sits in the same space as Parquet, but ORC offers better compression and solid type preservation. Writing a Pandas DataFrame to ORC takes…
Tkinter is Python’s standard GUI library. It ships with every Python installation, requires no separate installation, and provides enough widgets to build real desktop applications. This guide walks through the most commonly used Tkinter widgets, with working examples you can…
I keep coming back to tinyhtml whenever I need to generate HTML from Python without the overhead of a full template engine. The library is small, fast, and does exactly one thing well. In this article, I walk through generating…
Tkinter’s grid geometry manager is my go-to tool whenever I need to lay out widgets in a Python GUI. After years of reaching for pack first, I keep coming back to grid because it gives me precise control over where…
OpenCV is the standard library for computer vision in Python. The cv2.imread() function loads an image from a file and returns a NumPy array. Every image processing pipeline starts here, because you cannot transform pixels you have not read into…
When you print a PySpark DataFrame using Python’s built-in print() function, you do not see your data. You see metadata: column names, data types, and partition information. That is not a bug. It is by design. PySpark uses lazy evaluation,…
Word2Vec is a family of algorithms that learn fixed-length vector representations (embeddings) for every word in a corpus. The core idea is simple: words that appear in similar contexts should have similar vectors. For example, “king” and “queen” will land…
Excel files are everywhere in the professional world. Your manager sends you quarterly sales data as an .xlsx file. Your finance team exports trial balances from accounting software. The dataset you need for a machine learning project lives in a…
NumPy is one of the most important Python libraries for numerical computing and data analysis. It is widely used in data science, machine learning, and backend development to handle arrays, matrices, and mathematical operations efficiently. These 100 Python NumPy MCQs…
Pandas is one of the most important Python libraries for data analysis and data-driven roles. It is widely used in startups and major tech companies to efficiently handle, clean, and analyse data. Listed below are the top 100 Python Pandas…
