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.
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…
Excel files are everywhere in the real world. Sales reports, financial models, inventory lists, survey data, employee records. If you work with data long enough, someone will hand you an .xlsx file and ask you to do something with it.…
A sparse matrix is a data structure where most of the elements are zero. Think of it this way: if I have a matrix representing user-item interactions on a platform like Netflix, most users haven’t watched most movies, creating a…
scipy.fft is Python’s go-to module for converting signals between time and frequency domains. It handles FFT operations, frequency analysis, and signal filtering with better performance than numpy.fft, especially for multi-dimensional arrays. I switched to scipy.fft after numpy.fft was too slow…
Python’s datetime module handles date and time operations through five core classes. The datetime.datetime class represents a specific point in time with year, month, day, hour, minute, second, and microsecond precision. The date class stores calendar dates without time information.…