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Python, Step by Step — Illustrated
From your first instruction to working with data
This book is 100% completeLast updated on 2026-10-19
Learn Python through annotated diagrams, worked examples and practical projects—from variables and loops to pandas, classes and data preparation. Includes the updated 79-page PDF and fixed-layout EPUB.
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About
About the Book
From first instructions to working with data. Build intuition through annotated diagrams, small worked examples and step-by-step explanations.
WHAT YOU WILL LEARN
1. First Python programs
Notebooks, print, arithmetic, variables, strings, input, type conversion, operator precedence, floor division and remainders.
2. Decisions and repetition
Comparisons, Boolean logic, if/elif/else, for and range, while, accumulators, break, continue and input-validation loops.
3. Collections
Lists, indexing, slicing and updates; dictionaries and records; tuples and sets; nested lists, aliasing and copying.
4. Functions and readable code
Parameters, return values, defaults, positional and keyword arguments, string methods, split, enumerate, zip and formatted strings.
5. Errors and reliable values
Reading errors, try/except, raise and finally; None versus zero and False; floating-point precision, isclose and formatting.
6. Files and packages
Imports, modules and packages, pip, paths, reading/writing/appending text, CSV validation and JSON. The updated edition includes local virtual-environment setup and matching installation and execution environments.
7. Data for ML and GenAI
NumPy arrays, pandas inspection, missing values and filtering, features and labels, text records and Matplotlib plots.
8. Transform collections
Comprehensions, matrix transposition, sorting with keys, lambdas, map, filter, all and any.
9. Reusable program structures
Recursion with a decision-tree example; classes, instances, fit/predict-style methods, inheritance and special methods.
10. Process data in stages
Iterators, generators and batches; a word-count example and an order-summary project with validation, tests and output.
11. Practice throughout
Small worked programs and checks that connect individual language features into usable data-processing workflows.
WHAT IS INCLUDED
79-page PDF: a cover plus 78 illustrated lesson pages. A fixed-layout EPUB preserves the same visual pages and includes navigation. The lesson text is embedded in images and does not reflow; phones may require zooming.
A free opening-lesson PDF lets you preview the teaching style before buying.
WHO IT IS FOR
Readers who want a visual, example-led introduction or refresher. Follow the calculations and practice checks at your own pace.
Pramod Kumar Tyagi · www.bitmonkey.ai
© 2026 Bitmonkey IT Services Pvt Ltd. All rights reserved.
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Author
About the Author
Pramod Kumar Tyagi
Pramod Kumar Tyagi is an AI and digital architect with more than 20 years of experience designing and scaling enterprise technology platforms. He is the founder of Bitmonkey IT Services Pvt Ltd, where his work spans AI products, digital transformation and interactive AI/ML education.
Previously, Pramod served as Principal Architect and Head of Enterprise Integration & AI Centre of Excellence at NTT DATA Services. His experience includes AI and machine learning, cloud architecture, data platforms and intelligent automation across banking, payments, healthcare, retail and supply chain.
He holds an MS in Aerospace Engineering from the Indian Institute of Science (IISc), Bangalore, and is a TOGAF-certified solution architect.
His illustrated books use annotated diagrams, worked examples and practical scenarios to help readers build intuition for programming and the mathematics behind machine learning.
Explore his work at www.bitmonkey.ai.
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