Python for Beginners

ISBN Number : 978-93-5299-686-5

Student Price : Rs.475

Student Dollar Price : 19$

Book Edition : First

Year of Publication : 2021

No. Of Pages : 300

Book Weight :388

About The Book

Understanding the power of Python as a programming tool, visualization tool, data processing tool and a data analytical tool, this book introduces the readers to Python Programming and Libraries. It starts from the scratch and gradually increases the level by discussing all the concepts through example-driven approach. The core strength of the book is the application in real world scenario which helps in providing practical experience in programming and extracting insights from the data. This book is divided into three sections named as :

1. Core Programming in Python
2. Core Libraries in Python
3. Core Statistics in Python

The first section begins with an introduction to Python which includes installation of Python, different software available for Python Programming and how to get started in Python. This section then includes chapters related to control flow statements, user defined functions and data structures in Python. This section forms a base for beginners for Python Programming.

The second section comprises of basic modules and libraries in Python. This section have chapters related to basic modules, arrays using numpy library and array module, data processing using pandas, data visualization using matplotlib and seaborn and working with text data.

Topics related to statistical techniques in Python are covered in the last section. This section includes chapters related to basic statistical techniques, comparing means through parametric and non-parametric techniques and various regression models.


Contents -

Section I : Core Programming in Python
1. Introduction to Python
2. Control Flow Statements
3. User Defined Functions
4. Data Structures
Section II : Core Libraries in Python
5. Modules
6. Arrays using Module and numpy Library
7. Data Processing with pandas
8. Data Visualization with matplotlib and seaborn
9. Working with Text
Section III : Core Statistics in Python
10. Basic Statistical Functions
11. Compare Means
12. Regression

About The Author

Dr. Bharti Motwani is an ambitious and analytical; result-driven and articulate academician who can think "out of the box"; with more than 21 years of experience in academics and corporate world. She has demonstrated proficiency in writing books, reviewing journals, editing books and journals and writing more than 70 research papers in leading international journals, national journals and books, including journals indexed in Scopus, Elsevier, etc. She has a high technical experties in Data Analytics software like R. Python, Tableau, SAS, SPSS, AMOS, Smart PLS, etc.; Front end tools like Visual Basic, Python, Java, C, C++, C#, etc.; Back end tools like Oracle, MS SQL Server, My SQL, etc.; various Integrated Development Environments and Web Designing tools.

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