-PDF Download- Pandas Programming In 8 Hours For Beginners Learn Coding Fast EBOOK

PANDAS Programming in 8 Hours, for Beginners, Learn Coding Fast

Author: Django C. Perl

Publisher:

Published: 2021-08-10

Total Pages: 128

ISBN-13:

About This Book: "Pandas Programming & Exercises" is a textbook for high school, college and university students; it covers all essential Pandas language knowledge. You can learn complete primary skills of Pandas programming fast and easily. Prerequisite to Learn Pandas Before learning the Pandas, you should have basic knowledge of Python and the array, because Pandas works with Python and arrays. Source Code for Download: This textbook provides source code for download; you can download the source code for better study, or copy the source code to your favorite editor to test the programs. Table of Contents Chapter 1 What is Pandas? What Panda Is Used For? ...... Chapter 2 DataFrame Locate the Row (1) ...... Chapter 3 Embed Python Dictionary Print the First 5 Rows ...... Chapter 4 Fill the Average Value Fill the Middle Value ...... Chapter 5 Data Correlation Get Data Correlation ...... Chapter 6 The Sum of Each Column The Prod of Each Column ...... Chapter 7 Row Name & Column Name Sort by Row Names ...... Chapter 8 Iterate Over DataFrame (3) Get Range of Regular Dates ...... Pandas Q & A Questions Answers Source Code for Download

PYTHON: in 8 Hours, for Beginners, Learn Coding Fast! (2nd Edition)

Author: Ray Yao

Publisher:

Published: 2018-09-07

Total Pages: 165

ISBN-13: 9781720144908

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About This BookThis Book Absolutely for Beginners:"Python in 8 Hours" covers all essential Python knowledge. You can learn complete primary skills of Python fast and easily. The book includes more than 80 practical examples for beginners and includes tests & answers for the college exam, the engineer certification exam, and the job interview exam. Source Code for Download:This book provides source code for download; you can download the source code for better study, or copy the source code to your favorite editor to test the programs. Source code download link: forms.aweber.com/form/53/519080053.htmTable of ContentsHour 1 Start PythonHour 2 StatementHour 3 FunctionHour 4 Data StructuresHour 5 StringsHour 6 Input & OutputHour 7 Module & ExceptionHour 8 Class & ObjectAppendix Python Summary ChartsAppendix Python Tests & AnswersClick the Buy button now, start coding today! Tags:Python, Python language, Python book, Python ebook, Python web design, learning Python, Python coding, Python programming, learn Python, Python reference, Python tutorial, Python crash course, study Python step by step, Python example, Python sample, Python ultimate guide, Python code, Python program, Python develop, Python development, Python interview, Python test, Python job, Python for beginners, Python quick start guide, Python for dummies, Python in 8 hours, Python for kids

PYTHON in 8 Hours: for Beginners, Learn Coding Fast!

Author: Ray Yao

Publisher:

Published: 2020-06-02

Total Pages: 200

ISBN-13:

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About this book: Absolutely for Beginners This book covers all essential Python knowledge. You can learn complete primary skills of Python fast and easily. The book includes more than 80 practical examples for beginners and includes tests & answers for the college exam, the engineer certification exam, and the job interview exam. Source Code for Download This book provides source code for download; you can download the source code for better study, or copy the source code to your favorite editor to test the programs. Table of Contents Chapter 1 Start Python Chapter 2 Statement Chapter 3 Function Chapter 4 Data Structures Chapter 5 Strings Chapter 6 Input & Output Chapter 7 Module & Exception Chapter 8 Class & Object Appendix Python Summary Charts Appendix Django Basic Appendix Tests & Answers Tests Answers Click Buy button now. Start coding today!

Classic Computer Science Problems in Python

Author: David Kopec

Publisher: Simon and Schuster

Published: 2019-03-05

Total Pages: 331

ISBN-13: 1638355231

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"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems

Learning Scientific Programming with Python

Author: Christian Hill

Publisher: Cambridge University Press

Published: 2020-11-12

Total Pages: 572

ISBN-13: 1108787460

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Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Python Programming

Author: Jason Test

Publisher:

Published: 2020-08-03

Total Pages: 359

ISBN-13:

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Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide with 3 Manuscripts in 1 book: 1-Python for beginners 2-Python for Data Science 4-Python Crash Course Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Differences among programming languages ✓ Vba, SQL, R, Python ✓ Game creation with Pyhton ✓ Easy-to-follow steps for reading and writing codes. ✓ Control flow statements and Error handling ✓ 4 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ◆ 4 reason why Python is fundamental for Data Science ◆ Python design patterns ◆ How to use Python Data Analysis in your business ◆ Data visualization optimal tools and techniques ◆ Analysis of popular Python projects templates ◆ How to set up the Python environment for Data Science ◆ Most important Machine Learning Algorithms ◆ How to leverage Data Science in the Cloud 3) Python Crash Course * A Proven Method to Write your First Program in 7 Days * 5 Common Mistakes to Avoid when You Start Coding * A Simple Strategy to Write Clean, Understandable and Flexible Codes * The One Thing You Need to Debug your Codes in Python * 5 Practical exercises to start programming Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. You will also learn all the best tricks of writing codes with point by point descriptions of the code elements. If you really wish to to learn Python and master its language, please click the BUY NOW button.

Python for Data Analysis

Author: Oscar Scratch

Publisher: Independently Published

Published: 2019-10-15

Total Pages: 247

ISBN-13: 9781696532051

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If you want to learn from scratch how to use python simply, then keep reading. Did you ever think that programming code is not something for you? Did you ever think that it can't be simple and smart? Put away your credentials and get prepared to immerse yourself in a basic crash course of data analysis, Pandas and Numpy even if you are a beginner with no knowledge about programming. Python is a high-level programming language, released for the first time in 1991 by its creator Guido van Rossum, a Dutch programmer currently operating in Dropbox. Python is used by thousands of people to do things from the power of Instagram, to building video games with the PyGame library. Often programming is seen as something complicated: · we fear the effort that goes into learning a new programming language · the books available on Python Programming are too complicated to understand and learn · it is difficult to find information that really improve your knowledge For these reasons, this book can help you to start from zero with data analysis. In This book you will find out: · Why python data analysis is so important and how to use it for the benefit of your business or brand. · How to Bridge your data analysis with the power of programming · How to improve your skills using Python programming language. · How data analysis is applied today and how to use it in your everyday life. · What Numpy is and its characteristics · What Panda is and its characteristics Even if you've never studied programming code or computer technology, thanks to this book you can learn and apply Python techniques in just 21 days. ***Scroll up and click the BUY NOW button!***

R in 8 Hours: for Beginners, Learn Coding Fast!

Author: Ray Yao

Publisher:

Published: 2020-05-29

Total Pages: 200

ISBN-13:

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About this book: Absolutely for Beginners "R in 8 Hours" covers all essential R programming knowledge. You can learn complete primary skills of R programming fast and easily. The book includes more than 80 practical examples for beginners and includes tests & answers for the college exam, the engineer certification exam, and the job interview exam. Source Code for Download This book provides source code for download; you can download the source code for better study, or copy the source code to your favorite editor to test the programs. Table of Contents Chapter 1 R Introduction R Installation ...... Chapter 2 Run R Program Comment ...... Chapter 3 Operators Addition ...... Chapter 4 If Statement If...else Statement ...... Chapter 5 Vector Create a Vector ...... Chapter 6 Matrix Create a Matrix ...... Chapter 7 Factor Change Level Sequence ...... Chapter 8 Add Columns to Data Frame Add Rows to Data Frame ...... Appendix 1 Python Basic What is Python? First Python Program ...... Appendix 2 Tests & Answers Tests Answers Click Buy button now. Start coding today!

PYTHON CRASH COURSE

Author: Jason Test

Publisher:

Published: 2020-11-06

Total Pages: 114

ISBN-13: 9789918951437

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⚠Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide for you: PYTHON CRASH COURSE will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this book. ✅ A Proven Method to Write your First Program in 7 Days ✅ 5 Common Mistakes to Avoid when You Start Coding ✅ 3 step system why Python is fundamental for Data Science ✅ A Simple Strategy to Write Clean, Understandable and Flexible Codes ✅ The One Thing You Need to Debug your Codes in Python ✅ 5 Practical exercises to start programming ✅ 7 Most effective Machine Learning Algorithms Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Today is the best day to start programming like a pro. It's never too late to learn a coding language, whether you're 19 or 50! If you really wish to learn Python and master its language, please click the BUY NOW button.

Pandas Cookbook

Author: Theodore Petrou

Publisher: Packt Publishing Ltd

Published: 2017-10-23

Total Pages: 534

ISBN-13: 1784393347

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Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.