Top 100 Coding Projects On Python
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Top 100 Coding Projects On Python
Author: Y. SUMITRA. SRAVANI
language: en
Publisher: Independently Published
Release Date: 2023-02-24
"Top 100 Coding Projects on Python" is a comprehensive guide to learning and mastering the Python programming language. Written for both beginners and advanced programmers, this book provides real-world examples to help you build practical, working projects using Python. The focus of the book is on practical, real-world projects that are designed to help you build your skills and confidence as a Python programmer. Each project contains full code, so you can understand exactly how and why each project works. Whether you're interested in building web applications, data analysis tools, or automating routine tasks, this book has something for everyone. With its clear explanations, hands-on approach, and practical examples, "Top 100 Coding Projects on Python" is the perfect resource for anyone looking to learn and master the Python programming language. So, whether you're a beginner looking to get started with programming or an experienced programmer looking to add Python to your skill set, this book is the perfect guide for you.
Computer Coding Python Projects for Kids
Author: Carol Vorderman
language: en
Publisher: Dorling Kindersley Ltd
Release Date: 2017-06-01
Computer Coding Python for Kids has all you need to master Python - one of the world's most popular computer programming languages. Python is easier than other professional coding languages yet no less powerful. Computer Coding Python for Kids uses a hands-on approach to show it how works, with step-by-step projects that build knowledge gradually, from simple functions to building a space treasure game, kids will not only learn essential coding skills but have fun as they learn. Plus there are tips to personalise and adapt each project to encourage creative thinking. Just by following the steps and kids will be building crazy games and handy apps in no time.
Data Wrangling with Python
Author: Dr. Tirthajyoti Sarkar
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-02-28
Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the most out of your data in less timeBoost your learning curve with bonus topics like random data generation and data integrity checksBook Description For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You’ll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you’ll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. What you will learnUse and manipulate complex and simple data structuresHarness the full potential of DataFrames and numpy.array at run timePerform web scraping with BeautifulSoup4 and html5libExecute advanced string search and manipulation with RegEXHandle outliers and perform data imputation with PandasUse descriptive statistics and plotting techniquesPractice data wrangling and modeling using data generation techniquesWho this book is for Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.