| 000 -LEADER |
|---|
| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250306b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781484253540 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Item number |
MIL |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Milliken, Connor P. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python projects for beginners : a ten-week bootcamp approach to Python programming |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Apress, |
| Date of publication, distribution, etc |
2020 |
| Place of publication, distribution, etc |
New York : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxvi, 332 p. ; |
| Other physical details |
ill., |
| Dimensions |
26 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
54.99 |
| Price type code |
€ |
| Unit of pricing |
93.20 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer program language |
|
|---|
| Topical term or geographic name as entry element |
Conditional statement |
|
|---|
| Topical term or geographic name as entry element |
Fibonacci sequence |
|
|---|
| Topical term or geographic name as entry element |
Lambda function |
|
|---|
| Topical term or geographic name as entry element |
Matplotlib |
|
|---|
| Topical term or geographic name as entry element |
Range function |
|
|---|
| Topical term or geographic name as entry element |
Web scraping |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |