NumPy Tutorial for Beginners: NumPy Arrays in Python (Part 1)
NumPy tutorial for beginners: what an array is, why it ran about 20 times faster than a list here, how one stray string turns numbers into text, and more.
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NumPy Indexing and Slicing: Views, Masks and Fancy Indexing (Part 2)
NumPy indexing and slicing explained: why editing a slice changes your original array, when masks and fancy indexing copy instead, and how to avoid both bugs.
NumPy Broadcasting in Python: Rules and Common Bugs (Part 3)
NumPy broadcasting explained: the two shape rules, why a (3,1) and a (4,) array give (3,4), and the silent bug that turns a vector sum into a matrix.
NumPy Aggregation, Sorting and Linear Algebra in Python (Part 4)
NumPy aggregation along axes, NaN-safe statistics, argmax, sorting and linalg.solve, plus why NumPy and pandas return different standard deviations.
Python Numeric Data Types: int, float, Decimal and When to Use Each
Python numeric data types explained: int, float, Decimal, Fraction and complex, why 0.1 + 0.2 is not 0.3, and how to handle money without rounding errors.
Data Analytics Course with Python: Online Options Worth Paying For
How to choose a data analytics course with Python online: five options compared, the small Python subset analysts need, and why SQL still comes first.
Data Science Tools and Techniques: The Stack That Actually Gets Used
The data science tools working analysts actually use, what each is for, when to learn it, and the validation techniques that matter more than any library.
Plotly Tutorial for Python: Basic Interactive Charts (Plotly Part 1)
Plotly tutorial for Python: interactive charts in one Plotly Express call, when to use Graph Objects, styling, faceting, and HTML exports 100x smaller.
Advanced Plotly Charts: Subplots, Animation and 3D (Plotly Part 2)
Advanced Plotly charts in Python: subplots, dual axes, animation, 3D and heatmaps, plus the axis-range mistake that silently drops points from animations.
Lists vs Tuples in Python: Differences and When to Use Each
Lists vs tuples in Python beyond 'one is mutable': the real differences in hashability, memory, safety and intent, plus a decision rule that works in practice.
Iterators and Generators in Python: Process Files Larger Than RAM
Iterators and generators in Python explained: yield, pipelines that stream big files in flat memory, itertools, and why a generator silently runs only once.
Python Operators: What Each One Returns, and Where It Bites
Python operators explained with outputs for every example, plus why is works for 256 but fails for 257 and why and/or rarely return booleans.