Pandas Programming In 8 Hours For Beginners Learn Coding Fast

Download Pandas Programming In 8 Hours For Beginners Learn Coding Fast full books in PDF, epub, and Kindle. Read online Pandas Programming In 8 Hours For Beginners Learn Coding Fast ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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

Author : Django C. Perl
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.4/5 (539 download)

DOWNLOAD NOW!

Book Synopsis PANDAS Programming in 8 Hours, for Beginners, Learn Coding Fast by : Django C. Perl

Download or read book PANDAS Programming in 8 Hours, for Beginners, Learn Coding Fast written by Django C. Perl and published by . This book was released on 2021-08-10 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

Author : Ray Yao
Publisher :
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.6/5 (497 download)

DOWNLOAD NOW!

Book Synopsis JAVASCRIPT in 8 Hours: for Beginners, Learn Coding Fast! by : Ray Yao

Download or read book JAVASCRIPT in 8 Hours: for Beginners, Learn Coding Fast! written by Ray Yao and published by . This book was released on 2020-05-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: About this book: Absolutely for Beginners "JavaScript in 8 Hours" covers all essential JavaScript knowledge. You can learn complete primary skills of JavaScript fast and easily. The book includes more than 80 practical examples for beginners and includes tests & answers for the college exam, the engineer certification, and the job interview. 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 JavaScript Basic What is JavaScript? Comment ...... Chapter 2 Operators Arithmetical Operators Logical Operators ...... Chapter 3 Array Create an Array Show array element values ...... Chapter 4 Math, Time Math Methods Greater & Less ...... Chapter 5 String String length Join Strings ...... Chapter 6 Object Object Declaration Navigate Web Page ...... Chapter 7 Event HTML Basic Click Event ...... Chapter 8 Form & Dom Form Basic The Element of the form Access the Form ...... Appendix Tests & Answers Tests Answers Source Code for Download

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

Author : Ray Yao
Publisher :
ISBN 13 : 9781720144908
Total Pages : 165 pages
Book Rating : 4.1/5 (449 download)

DOWNLOAD NOW!

Book Synopsis PYTHON: in 8 Hours, for Beginners, Learn Coding Fast! (2nd Edition) by : Ray Yao

Download or read book PYTHON: in 8 Hours, for Beginners, Learn Coding Fast! (2nd Edition) written by Ray Yao and published by . This book was released on 2018-09-07 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for Everybody

Author : Charles R. Severance
Publisher :
ISBN 13 : 9781530051120
Total Pages : 242 pages
Book Rating : 4.0/5 (511 download)

DOWNLOAD NOW!

Book Synopsis Python for Everybody by : Charles R. Severance

Download or read book Python for Everybody written by Charles R. Severance and published by . This book was released on 2016-04-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Learning Scientific Programming with Python

Author : Christian Hill
Publisher : Cambridge University Press
ISBN 13 : 1316425223
Total Pages : 461 pages
Book Rating : 4.3/5 (164 download)

DOWNLOAD NOW!

Book Synopsis Learning Scientific Programming with Python by : Christian Hill

Download or read book Learning Scientific Programming with Python written by Christian Hill and published by Cambridge University Press. This book was released on 2016-02-04 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.

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

Author : Ray Yao
Publisher :
ISBN 13 : 9781720029151
Total Pages : 165 pages
Book Rating : 4.0/5 (291 download)

DOWNLOAD NOW!

Book Synopsis PYTHON: in 8 Hours, for Beginners, Learn Coding Fast! by : Ray Yao

Download or read book PYTHON: in 8 Hours, for Beginners, Learn Coding Fast! written by Ray Yao and published by . This book was released on 2018-09-02 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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

Classic Computer Science Problems in Java

Author : David Kopec
Publisher : Simon and Schuster
ISBN 13 : 1638356548
Total Pages : 262 pages
Book Rating : 4.6/5 (383 download)

DOWNLOAD NOW!

Book Synopsis Classic Computer Science Problems in Java by : David Kopec

Download or read book Classic Computer Science Problems in Java written by David Kopec and published by Simon and Schuster. This book was released on 2020-12-21 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. 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 10 Interview with Brian Goetz

Python Programming

Author : Jason Test
Publisher :
ISBN 13 :
Total Pages : 359 pages
Book Rating : 4.6/5 (717 download)

DOWNLOAD NOW!

Book Synopsis Python Programming by : Jason Test

Download or read book Python Programming written by Jason Test and published by . This book was released on 2020-08-03 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pandas Cookbook

Author : Theodore Petrou
Publisher : Packt Publishing Ltd
ISBN 13 : 1784393347
Total Pages : 534 pages
Book Rating : 4.7/5 (843 download)

DOWNLOAD NOW!

Book Synopsis Pandas Cookbook by : Theodore Petrou

Download or read book Pandas Cookbook written by Theodore Petrou and published by Packt Publishing Ltd. This book was released on 2017-10-23 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

PYTHON CRASH COURSE

Author : Jason Test
Publisher :
ISBN 13 : 9789918951437
Total Pages : 114 pages
Book Rating : 4.9/5 (514 download)

DOWNLOAD NOW!

Book Synopsis PYTHON CRASH COURSE by : Jason Test

Download or read book PYTHON CRASH COURSE written by Jason Test and published by . This book was released on 2020-11-06 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⚠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 for Everyone

Author : Daniel Y. Chen
Publisher : Addison-Wesley Professional
ISBN 13 : 0134547055
Total Pages : 1093 pages
Book Rating : 4.1/5 (345 download)

DOWNLOAD NOW!

Book Synopsis Pandas for Everyone by : Daniel Y. Chen

Download or read book Pandas for Everyone written by Daniel Y. Chen and published by Addison-Wesley Professional. This book was released on 2017-12-15 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning

Pragmatic AI

Author : Noah Gift
Publisher : Addison-Wesley Professional
ISBN 13 : 0134863917
Total Pages : 720 pages
Book Rating : 4.1/5 (348 download)

DOWNLOAD NOW!

Book Synopsis Pragmatic AI by : Noah Gift

Download or read book Pragmatic AI written by Noah Gift and published by Addison-Wesley Professional. This book was released on 2018-07-12 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 553 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Python for Data Analysis

Author : Oscar Scratch
Publisher : Independently Published
ISBN 13 : 9781696532051
Total Pages : 247 pages
Book Rating : 4.5/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Python for Data Analysis by : Oscar Scratch

Download or read book Python for Data Analysis written by Oscar Scratch and published by Independently Published. This book was released on 2019-10-15 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!***

Machine Learning with Python

Author : Jason Test
Publisher : Independently Published
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4.6/5 (767 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning with Python by : Jason Test

Download or read book Machine Learning with Python written by Jason Test and published by Independently Published. This book was released on 2020-08-19 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language and machine learning in 7 days? Do you want to increase your online 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 2 Manuscripts in 1 book: 1-Python for beginners 2-Python for Data Science 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. I'd like to say that Machine Learning with Python can be complicated, and the whole concept of Data Analysis can be daunting to starters. You have to take time and study the whole concept before you start to be proficiency. But this book will be your guide: 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 ✓ 3 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ◆ 3 reasons 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 ◆ 5 Most important Machine Learning Algorithms ◆ How to leverage Data Science in the Cloud 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 and Predictive modelling concepts are explained in simple terms You will also learn 3 best tricks of writing codes. If you really wish to to learn Python and master its language, please click the BUY NOW button.

Pandas in Action

Author : Boris Paskhaver
Publisher : Simon and Schuster
ISBN 13 : 163835104X
Total Pages : 438 pages
Book Rating : 4.6/5 (383 download)

DOWNLOAD NOW!

Book Synopsis Pandas in Action by : Boris Paskhaver

Download or read book Pandas in Action written by Boris Paskhaver and published by Simon and Schuster. This book was released on 2021-10-12 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn how to: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game. About the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world. What's inside Organize, group, merge, split, and join datasets Find trends in text-based and time-based data Sort, filter, pivot, optimize, and draw conclusions Apply aggregate operations About the reader For readers experienced with spreadsheets and basic Python programming. About the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. Table of Contents PART 1 CORE PANDAS 1 Introducing pandas 2 The Series object 3 Series methods 4 The DataFrame object 5 Filtering a DataFrame PART 2 APPLIED PANDAS 6 Working with text data 7 MultiIndex DataFrames 8 Reshaping and pivoting 9 The GroupBy object 10 Merging, joining, and concatenating 11 Working with dates and times 12 Imports and exports 13 Configuring pandas 14 Visualization

Python Programming : How to Code Python Fast In Just 24 Hours With 7 Simple Steps

Author : Jason Scotts
Publisher : Speedy Publishing LLC
ISBN 13 : 1630222461
Total Pages : 40 pages
Book Rating : 4.6/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Python Programming : How to Code Python Fast In Just 24 Hours With 7 Simple Steps by : Jason Scotts

Download or read book Python Programming : How to Code Python Fast In Just 24 Hours With 7 Simple Steps written by Jason Scotts and published by Speedy Publishing LLC. This book was released on 2013-11-02 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you fed up with reading long, boring, lengthy paragraphs after paragraphs of text and want to get up and running in Python as soon as possible? Well, you're not alone. I for one hate having to read through masses of text for very little benefit. Python Programming Reloaded: How to Code Python Fast In Just 24 Hours With 7 Simple Steps strips away the non essentials and instead provides you with the fundamentals from which you can blossom as a Python programmer in Just 7 simple steps. So, what can I expect from the book? Learn the Basics- this book provides you with the fundamental building blocks to get you up and running in Python in no time. Learn it Quick -Written for simplicity so that you can learn Python quickly and efficiently. Start Coding Fast -You start coding as soon as Python is installed on your computer. Anything else? Yes!. This book will supercharge your Python learning experience.