Python projects for beginners : a ten-week bootcamp approach to Python programming / Connor P. Milliken
By: Milliken, Connor P [author].
Contributor(s): Ohio Library and Information Network.
Publisher: Berkeley, CA : Apress, ©2020Description: 332 p.Content type: text Media type: computer Carrier type: online resourceISBN: 9781484253540.Subject(s): Python (Computer program language) | Computer programming | Python | Open Source | Programming Languages, Compilers, InterpretersGenre/Form: Print books.Current location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | QA76.73.P98 M55 2020 (Browse shelf) | Available | AU00000000016960 |
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QA76.73.P98 M38 2023 Python crash course : a hands-on, project-based introduction to programming / | QA76.73 .P98 M42 2017 Python for data analysis : data wrangling with Pandas, NumPy, and IPython / | QA76.73.P98 M544 2021 Python programming in context / | QA76.73.P98 M55 2020 Python projects for beginners : a ten-week bootcamp approach to Python programming / | QA76.73.P98 M839 2018 Beginning programming with Python for dummies / | QA76.73 .P98 M85 2017 Introduction to machine learning with Python : a guide for data scientists / | QA76.73.P98 O75 2020 Math for programmers : 3D graphics, machine learning and simulations with Python / |
Includes index
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?
Available to OhioLINK libraries
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