03704cam a22005055i 4500 ssj0002240295 WaSeSS 20220420145032.0 m d cr n 191115s2020 xxu| o |||| 0|eng d 9781484253540 (print) 10.1007/978-1-4842-5355-7 doi eng WaSeSS AIMIT LIBRARY 005.1372 1 MILC EBOOK Milliken, Connor P. 30598 Python projects for beginners : ten-Week bootcamp approach to python programming / By Connor P. Milliken. 1st ed. New York : Apress , 2021. xxvi, 332p. ; 25.5 cm. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Week 1: Getting Started -- Week 2: Python Basics -- Week 3: User Input and Conditionals -- Week 4: Lists and Loops -- Week 5: Functions -- Week 6: Data Collections and Files -- Week 7: Object-Oriented Programming -- Week 8: Advanced Topics I: Efficiency -- Week 9: Advanced Topics II: Complexity -- Week 10: Introduction to Data Analysis -- Post-Course: What to Do Now?. Requires an SPL library card. Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten-week coding bootcamp course, you'll learn key concepts and gain hands-on experience through weekly projects. Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generators and iterators, understanding algorithmic complexity, and data analysis with pandas. From beginning to end, this book builds up your abilities through exercises and challenges, culminating in your solid understanding of Python. Challenge yourself with the intensity of a coding bootcamp experience or learn at your own pace. With this hands-on learning approach, you will gain the skills you need to jumpstart a new career in programming or further your current one as a software developer. You will: Understand beginning and more advanced concepts of the Python language Be introduced to data analysis using pandas, the Python Data Analysis library Walk through the process of interviewing and answering technical questions Create real-world applications with the Python language Learn how to use Anaconda, Jupyter Notebooks, and the Python Shell. Mode of access: World Wide Web. Python (Computer program language) 30599 Open source software 30600 Computer programming 30601 Programming languages (Electronic computers) 30602 Electronic books. local 30603 SpringerLink (Online service) 30604 O'Reilly (Firm) 30605 Serials Solutions 30606 Springer eBooks Printed edition: 9781484253540 Printed edition: 9781484253564 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484253557/?ar An e-book available through full-text database. ddc BK 1st 005.1372 MILC 222515 222515 03553419 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 1249.00 Bill no:6623; Bill dt:2022-03-23 0 005.1372 MILC MCA17084 2025-07-21 00:00:00 999.20 2022-04-20 BK