Python Fast Track

A Complete Guide to Rapidly Mastering and Applying Python Programming
Erscheinungsjahr 2025
ISBN: 978-0-443-33823-6
Verlag: Elsevier Science

Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.

This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

Autoren/Hrsg.

Roy, Sanjiban Sekhar

Chouhan, Arnav

Khera, Naman

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

1. Breaking down a python program. Keywords, variables, identifiers, comments, escape sequences
2. Data types in Python
3. Printing and Prompting how to print, how to prompt and take user input
4. Lists/Dictionaries/tuples
5. Control structures
6. Functions
7. OOPS in python
8. Files
9. Exception handling
10. Regex matching
11. Numpy
12. Pandas

Über Autor(innen)

Khera, Naman
Naman Khera is a final-year B.Tech student in Computer Science at VIT Vellore. He is passionate about web development, data analytics, and competitive programming, he is proficient in C++, Python, and JavaScript, with a basic understanding of Java. Naman enjoys using code to solve real-world problems and optimize systems. Naman has maintained a 9 CGPA, he actively shares knowledge and believes teaching strengthens understanding. He has participated in several hackathons, honing skills in problem-solving, teamwork, and time management. Outside academics, Naman enjoys reading fiction, playing guitar, sports, and quizzing.

Chouhan, Arnav
Arnav Chouhan is a final-year B.Tech student in VIT Vellore, specializing in computer science, software development, and cyber security. He is a co-author of the Python Fast Track book. Skilled in C, C++, Python, databases, data structures, algorithms, and cybersecurity. Arnav has maintained a CGPA above 9. His expertise in cybersecurity ensures the security of his projects, where he combines both theoretical knowledge and practical skills to develop high-quality software.