Learn Python Programming Systematically And Step By Step
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Learn Python Programming Systematically and Step by Step
Python is immensely popular and one of the most highly-demanded programming languages in the world. You can learn Python Programming Systematically and Step by Step by referring to this eBook. Refer to the Video Course for more clarity.
Learn Python Programming for Beginners
The Complete Python Masterclass Made Easy, Even if You’ve Never Coded in Your Life! If you go on Google right at this second and open any statistics with the most in-demand programming languages for the past 5 years until today you will consistently see in the top 3 a language called ‘Python’. More often than not, it is the number one programming language to learn year after year. But why would so many people look for Python experts? Two big reasons: - It’s an extremely powerful high-level programming language - The coding syntax is very simplified, making it fail-proof to learn and execute Combining those two things makes Python constantly being improved and updated. While learning the basics is something that will get you started, you will have the ability to grow your skills above and beyond because there’s always new updates and improvements being made. In ‘Learn Python Programming for Beginners’, Flynn Fisher starts from scratch. He will teach you the fundamentals of coding with Python and help you lay down the building blocks of your future programming abilities. This book is made in a way that every chapter is building upon each other. By the end, you will learn: - The Fundamentals of Python Programming laid down in a matter of days with a no nonsense approach of learning - Creating Operations by Combining the Fundamentals together and building upon each other step-bystep - Machine Learning with Python explained in plain English that will get you to skyrocket your education and your programming skills - Apply Your Knowledge with the practical exercises inside the book, which cover everything from the basics to data analysis and machine learning Programming can be hard if you don’t have a precise step-by-step guide. Luckily, inside this book, you will find all the building blocks needed to start your Python programming journey. See you inside as you start your Python coding journey!
PYTHON PROGRAMMING
Author: KUMARI, LALITA
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2025-01-01
This comprehensive text on Python programming is designed for undergraduate and postgraduate students in Computer Science and Information Technology. Whether you are a beginner or have limited programming knowledge, this book offers a structured learning experience, starting from foundational concepts and advancing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from Basics and Core concepts of Python to Machine Learning with Python. It covers fundamental topics such as data types, variables, operators, and interactive input-output, enabling readers to write simple yet effective Python programs. Subsequently, the text explores advanced concepts like control flow, functions, file handling, object-oriented programming, modules, and data visualization through graph plotting empowering readers to develop robust and complex Python applications. Finally, the book introduces its readers to the world of machine learning, covering essential topics like data preprocessing, supervised and unsupervised learning, and implementing algorithms. The book equips students to excel in Python programming and seamlessly transition into machine learning, enabling them to design and implement customized algorithms for their datasets. KEY FEATURES • A practical approach to learn and practice python programming. • Chapter-wise example code/program with explanation and output discussion to explain each topic in easy way. • Includes data visualization through Plotly and Matplotlib. • File handling covers creation, read/view, modification of multiple file types—excel, csv, image, pdf, etc. • Includes Regular expression and Regular Expression Function, Lambda Function, and so on. • Explains data preprocessing steps—Data cleaning, Data transformation, Feature engineering, and Data splitting. • Covers, in detail, the supervised learning and unsupervised learning supported with example code and explanation. TARGET AUDIENCE • B.Tech Computer Science & Engineering • B.Sc. Computer Science • B.Tech Computer Science & Engineering with specialisation in Machine Learning • BCA/MCA