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Data Structures and Algorithms + Python Programming Guides: Big O Notation, Recursion, Dynamic Programming, Greedy Algorithms, Object-Oriented Programming, Coding, Interview Prep – Set of 2 Books
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Data Structures and Algorithms + Python Programming Guides: Big O Notation, Recursion, Dynamic Programming, Greedy Algorithms, Object-Oriented Programming, Coding, Interview Prep – Set of 2 Books
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Description
Build a complete Python learning path, from fundamentals to efficient, scalable code, with this practical 2-book combo.
Python Essentials You Always Wanted to Know
- Introduces Python programming, syntax, and core concepts in clear, simple language.
- Covers data types, control flow, functions, modules, and error handling.
- Includes hands-on coding exercises, quizzes, and real-world case studies.
- Shows how to use Python for data analysis, automation, and basic business insights.
- Ideal for absolute beginners and early-career professionals transitioning into tech.
Data Structures and Algorithms Essentials You Always Wanted to Know
- Teaches how to think algorithmically and analyze performance with Big O notation.
- Covers lists, stacks, queues, linked lists, trees, graphs, and hash-based structures.
- Explains recursion, greedy algorithms, and dynamic programming with Python examples.
- Features coding tasks, quizzes, and realistic case studies like managing rosters and analyzing networks.
- Includes downloadable code (online) in Python, plus Java, C++, and JavaScript to broaden your understanding across languages.
This bundle takes you from writing your first Python program to building efficient, scalable applications. It’s perfect for professionals transitioning into tech or anyone curious about programming. Whether you’re preparing for interviews or advancing your career, this combo provides the fundamentals and practical techniques you need to think algorithmically and write smarter code.
Bibliographic Details
Pages: 642pages
Paperback (ISBN): 9781636516950
Ebook (ISBN) : 978V123456824
Category: Business & Economics
Author: Shawn Peters, Vibrant Publishers
Table of Contents
Click on individual book titles below to view their complete Table of Contents.
Data Structures and Algorithms Essentials You Always Wanted to Know
Author
Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.
Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.
Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.
Series
The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.
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Completely transformed how I architect algorithms and data processing pipelines.
Straight to the point guidelines on writing efficient, clean Python algorithms.
Comprehensive books covering every single core pillar of modern Python programming.
Great variety of practice exercises covering sorting, searching, and analytics.
Helped me overcome my hurdles with advanced data wrangling and analytics.
The best investment any professional can make into learning Python data structures.
Using this set kept me focused and disciplined during my programming interview prep.
Great coverage of hash tables, linked lists, and binary search trees.
Complex algorithmic problems are broken down into digestible, intuitive parts.
The depth of coverage on Python data analytics and dataframes is remarkable.
No fluff, just solid coding principles and clean data structures methods.
This collection was instrumental in helping me secure my backend developer role.
Solid formatting and comprehensive explanations of algorithmic efficiency.
The end-of-chapter projects ensure you actually retain and apply the programming logic.
The data analytics chapters gave me a framework I now apply daily in my software career.
My understanding of object-oriented Python and data manipulation improved immensely.
A complete roadmap for anyone wanting to master Python data structures and analytics.
Clean layout and robust code snippets referenced throughout the books.
Everything you need to succeed in Python programming and analytics is packed here.
Challenging practice problems that test your ability to write clean, optimized Python code.
An incredible compilation that demystifies algorithms for beginner and intermediate coders.
The hands-on coding exercises provided across the volumes are fantastic.
Comprehensive coverage of searching, recursion, and data analytics fundamentals.
The logic behind time complexity and sorting algorithms is explained in an approachable way.
If you want a thorough grounding in Python algorithms, this is the ultimate collection to get.
The progression from basic Python syntax to advanced data structures is logical and smooth.
Helped me upskill quickly for coding interviews and software engineering roles in Bangkok.
This 2-book set covers fundamental data structures, algorithms, and data analytics clearly.
Very structured approach to algorithmic problem solving and data analytics scripts.
The practical explanations of lists, dictionaries, trees, and graphs are remarkably clear.
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Vibrant Publishers India.