Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization

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Publisher : AI Publishing LLC
ISBN 13 : 9781733042642
Total Pages : 168 pages
Book Rating : 4.0/5 (426 download)

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Book Synopsis Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization by : Ai Publishing

Download or read book Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization written by Ai Publishing and published by AI Publishing LLC. This book was released on 2019-09-22 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: **GET YOUR COPY NOW, the price will be 21.99$ soon**Learn Python coding for Data Analysis from scratch very easilyWelcome to the Python Crash Course for Data Analysis!The book offers you a solid introduction to the world of Python Coding for data analysis. In this book, you'll learn fundamentals that will enable you to go further in Python Coding, launch or advance a career, and join the next generation of Data Analyst talent that will help define a beneficial, new, powered future for our world. You will study important libraries such as NumPy, Pandas and some Data Visualization libraries.Educational Objectives: This introductory book teaches the foundational skills all Python programmers use to analyze data. It is ideal for beginners who want to learn Python coding or Python for Data Analysis, make informed choices about career goals, and set themselves up for success in this path. At the end of this learning, you will become an great Python Programmer for data Analysis, and learn to analyse data using frameworks like NumPy, Pandas and Matplotlib. Prerequisites: No prior experience with programming is required. You will need to be comfortable with basic computer skills, such as managing files, running programs, and using a web browser to navigate the Internet.You will need to be self-driven and genuinely interested in the Python Coding. No matter how well structured the program is, any attempt to learn programming will involve many hours of studying, practice, and experimentation. Success in this book requires devoting at least 10 hours to your work. This requires some tenacity, and it is especially difficult to do if you don't find Python coding interesting or aren't willing to play around and tinker with your code-so drive, curiosity, and an adventurous attitude are highly recommended!You will need to be able to learn English.Contact Info: While going through the book, if you have questions about anything, you can reach us at [email protected].**GET YOUR COPY NOW, the price will be 15.99$ soon**

Python for Data Analysis

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ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Book Synopsis Python for Data Analysis by : Brady Ellison

Download or read book Python for Data Analysis written by Brady Ellison and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to learn Data Science through Python language? Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike. This book is designed to offer working knowledge of Python and data science and some of the tools required to apply that knowledge. It’s possible that you have little experience with or knowledge of data analysis and are interested in it. You might have some experience in coding. You may have worked with data before and want to use Python. We have made this book in a way that will be helpful to all these groups and more besides in varying ways. This can serve as an introduction to the most current tools and functions of those tools used by data scientists. In this book You will learn: Data Science/Analysis and its applications IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem. Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started. NumPy - a powerful numerical library for Python. You will learn more about its advantages. Get your copy now

Python Crash Course

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Author :
Publisher : Independently Published
ISBN 13 : 9781712769942
Total Pages : 164 pages
Book Rating : 4.7/5 (699 download)

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Book Synopsis Python Crash Course by : Dany Log

Download or read book Python Crash Course written by Dany Log and published by Independently Published. This book was released on 2019-11-28 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to use python easily and quickly, then keep reading.Most people think that Python programming is a complicated topic. This should not be the case when you get hold of the Python Crash Course: A Complete Step-by-Step Beginner Guide for Python Coding, NumPy, Pandas, and Data Visualization. This interactive book will give you all the information about Python programming. You will know what it means, how to use it, and who can use Python programming. Different individuals use Python programming for different benefits. It includes developers, coders, programmers and finance experts. You will know what to do with Python programming, the importance of Python to an economist, at your workplace, and who you can use Python programming to earn money. You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. Python has different basic concepts that need to be understood. The different terms that are used in programming, how you can start Python programming for data analysis, and what you need to do to install Python.If this is your first time dealing with Python programming, you do not need to worry. You will have all the Python programming lessons. You will learn about Python, the places where you can learn, and the cost that relates to learning Python programming. There is information on the courses that need to be studied in order to understand programming and the jobs that you can secure with your Python knowledge and skills. There are different operating systems that can be used in collaboration with Python, like OS X, Linux, and Windows. You will have knowledge about all the troubleshooting. What is the list? The list is clearly explained, and you will be able to understand what it means. You will know how to change elements, how to remove them, and how you can add elements. The book will categorically explain how you can organize the list.There are several chapters and sub-chapters that will help more in terms of understanding Python programming. -You will know about variables and the different types of data. -There is information about dictionaries, functions, and classes.-You will know what it means to test the code, files, and exceptions.-There is also information about input and while loops. -Data visualization is a chapter that is clearly explained. -How to generate data-How to download data-How to work with APIs-You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation.-If you are planning to learn about Python programming, you need to know about web applications-You will know how to work with Django-The different user accounts and how to set up a user account-How you can style and deploy an app. With this book learning to use python becomes easy and fast. Buy this book right now

Python For Data Analysis

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Author :
Publisher :
ISBN 13 : 9781951845131
Total Pages : 352 pages
Book Rating : 4.8/5 (451 download)

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Book Synopsis Python For Data Analysis by : Guido van Smit

Download or read book Python For Data Analysis written by Guido van Smit and published by . This book was released on 2019-11-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Put away your credentials and get prepared to immerse yourself in a basic crash course of data analysis, Pandas andNumpy even if you are a beginner with no knowledge about programming!

Python Crash Course

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Publisher :
ISBN 13 : 9781513677156
Total Pages : 164 pages
Book Rating : 4.6/5 (771 download)

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Book Synopsis Python Crash Course by : Dany Log

Download or read book Python Crash Course written by Dany Log and published by . This book was released on 2020-12-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to use python easily and quickly, then keep reading. Most people think that Python programming is a complicated topic. This should not be the case when you get hold of the Python Crash Course: A Complete Step-by-Step Beginner Guide for Python Coding, NumPy, Pandas, and Data Visualization. You will know what it means, how to use it, and who can use Python programming. Different individuals use Python programming for different benefits. It includes developers, coders, programmers and finance experts. You will know what to do with Python programming, the importance of Python to an economist, at your workplace, and who you can use Python programming to earn money. You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. If this is your first time dealing with Python programming, you do not need to worry. You will have all the Python programming lessons. You will learn about Python, the places where you can learn, and the cost that relates to learning Python programming. There is information on the courses that need to be studied in order to understand programming and the jobs that you can secure with your Python knowledge and skills. There are different operating systems that can be used in collaboration with Python, like OS X, Linux, and Windows. You will have knowledge about all the troubleshooting. What is the list? The list is clearly explained, and you will be able to understand what it means. You will know how to change elements, how to remove them, and how you can add elements. The book will categorically explain how you can organize the list. There are several chapters and sub-chapters that will help more in terms of understanding Python programming. - You will know about variables and the different types of data. - There is information about dictionaries, functions, and classes. - You will know what it means to test the code, files, and exceptions. - There is also information about input and while loops. - Data visualization is a chapter that is clearly explained. - How to generate data - How to download data - How to work with APIs - You will be able to earn from blogging, app development, freelancing, online courses, coding competitions, and website creation. - If you are planning to learn about Python programming, you need to know about web applications - You will know how to work with Django - The different user accounts and how to set up a user account With this book learning to use python becomes easy and fast. Buy this book right now

Python Crash Course

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Author :
Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.6/5 (699 download)

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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 2020-07-27 with total page 114 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 basic acquaintance with web applications? Ten keep reading! ★Python Crash course★ will introduce you to Pyhton language and discover the world of data science, machine learning and artificial intelligence. You will also learn all the best tricks of writing codes. The following list is just a tiny fraction of what you will learn: - The basics of Python programming - Differences among programming languages: Vba, SQL, R, Python - 4 reason why Python is fundamental for Data Science . Introduction to some Python libraries, including NumPy, Pandas, Matplotlib. - Python design patterns Business application of Python Data Analysis - Optimal tools and techniques for data mining - Analysis of popular Python projects templates - Game creation with Pyhton 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. Therefore, if you really wish to find a course to learn Python in 7 days, learn and master its language, please click the BUY NOW button.

Python for Data Analysis

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Author :
Publisher : Andrew Park
ISBN 13 : 9781801779098
Total Pages : 138 pages
Book Rating : 4.7/5 (79 download)

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Book Synopsis Python for Data Analysis by : Andrew Park

Download or read book Python for Data Analysis written by Andrew Park and published by Andrew Park. This book was released on 2021-04-22 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ 55% OFF for Bookstores! NOW at $41,97 instead of $51,97!Do you want to learn more about Data Analysis and how to master it with Python?Your Customers Will Love This Amazing Guide! Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future. Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Pandas, Jupyter and PyTorch The 7 Python libraries that make Python one of the best choices for Data Analysis Neural Network How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More! While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics. Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications. Would You Like To Know More? Buy it NOW and Let Your Customers Get Addicted to This Amazing Book!

Python For Data Analysis

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Author :
Publisher : Tiger Gain Limited
ISBN 13 : 9781914306600
Total Pages : 0 pages
Book Rating : 4.3/5 (66 download)

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Book Synopsis Python For Data Analysis by : Daniel Géron

Download or read book Python For Data Analysis written by Daniel Géron and published by Tiger Gain Limited. This book was released on 2021-01-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interested in starting Data analysis and not sure which Programming language to use to develop Data Analysis Programs? Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and note sure where to start? Do you have data and want to analyze and provide professional figures for your presentation and communication and don't know which programming language to use or interested in using Python? This book is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language. This book provides not only the basic syntax of Python but also an advanced command to evaluate the performance of your code in interactive programming environment (i.e. Jupyter) and a guide to use the fundamentals Python libraries for data analysis which are Pandas, NumPy and Matplotlib libraries. All these libraries are presented with examples with real data so you can practice at the same time when learning the functionalities of this library. By reading this book, you will learn: - The characteristics and utilities of using Python over other programming languages - How to get started and install Python - The basic syntax of Python programming and different basic data structures in Python - How to develop modules and functions in Python - How to install and use magic command in Ipython - Functionalities of NumPy library for numerical programming - Functionalities of Pandas library for data analysis - Creating and customizing figures to visualize data with Matplotlib library Even if don't have any background or skills in programming, this book will provide you and help you develop the required skills and basic technics to start data analysis with Python programming. It also provides you with code and data so you can practice. By reading this book will easily learn how to use python and Python libraries for easy data analysis and management. By developing the skills provided in this book, you will easily develop more advanced skills and acquire advanced technics that will allow to go from a beginner to an expert in Python.

Python for Data Analysis

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Publisher :
ISBN 13 : 9781654136611
Total Pages : 132 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Python for Data Analysis by : Matt Foster

Download or read book Python for Data Analysis written by Matt Foster and published by . This book was released on 2020-01-05 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Python Programming Language and Data Analysis With This Comprehensive Guide! If you would like to... Grow your business Get an amazing job Make great business decisions Get rid of the competition... This book will teach you how to achieve all that with the help of data analysis and data science. It might sound like a lot of work, but with proper guidance, you don't need to spend hours bent over textbooks and trying to make sense of a huge amount of information. The goal of this book is not only to learn about data analysis but to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own analysis, implement its methods in your business, and master the Python Programming Language! Here's what you'll learn with this book: The importance of data analysis and why every successful business and industry are using it How to process data with tools and techniques used by data scientists The concepts behind Python programming How to use the "data munging" process How to use Python libraries such as Pandas and NumPy for data analysis The importance of data visualization How to create the right analytical algorithm for predicting the market trends How to write codes, and create programs and databases And much more! Even if this is the first time you're hearing about Data Analysis and Python, you can still successfully learn everything this book offers. The instructions are incredibly simple, the methods explained to the finest details and the guides are presented in a step-by-step way. You don't have to be a computer or math expert to develop this skill. You simply need a straightforward guide on the steps you have to take, with clear background explanations to help you understand those steps. If you want to modernize your company and your skills, make the most of your data and become a competitive force on the market, Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now!

Python for Data Analysis

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

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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!***

Python Crash Course

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Author :
Publisher : Programming
ISBN 13 : 9781803064116
Total Pages : 266 pages
Book Rating : 4.0/5 (641 download)

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Book Synopsis Python Crash Course by : Aiden Phillips

Download or read book Python Crash Course written by Aiden Phillips and published by Programming. This book was released on 2021-12-10 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course? If yes, then this Python Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book: 1-Python For Beginners 2- Python Programming A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples. In Manuscripts 1 "Python For Beginners" you'll learn: What is Python How to install Python and what is the best distribution What are data types and variables How to work with numbers in Python What operators there are in Python and when to use them How to manipulate Strings How to implement Program Flow Controls How to implement loops in Python What are Python lists, Tuples, Sets, Dictionaries, and how to use them How to create modules and functions How to program according to the Object-Oriented paradigm How to create classes What are and how to use Inheritance, Polymorphism, Abstraction, and Encapsulation And much more... In Manuscript 2 "Python programming" you'll learn: What Data Analysis is and why it is important What are the different types of Data Analysis What are the 6 key steps of the Data Analysis process that you should follow What are the applications of Data Analysis and Analytics How to set up the Python environment for Data Analysis What are and how to use Python Data Structures How to work with IPython/Jupyter Notebook How to work with NumPy How to visualize data with Matplotlib What other visualization libraries are out there Why is Big Data important and how to get the best out of it How to leverage Neural Networks for Data Analysis And much more... Click the BUY button and download the book now to start learning well and fast!

Python Programming

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

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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.

Python Programming

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Publisher :
ISBN 13 : 9789918951260
Total Pages : 360 pages
Book Rating : 4.9/5 (512 download)

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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 2020-10-15 with total page 360 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 3-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 ✓ 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 ◆ 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.

MACHINE LEARNING WITH PYTHON

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Publisher :
ISBN 13 : 9789918951413
Total Pages : 250 pages
Book Rating : 4.9/5 (514 download)

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Book Synopsis MACHINE LEARNING WITH PYTHON by : Jason Test

Download or read book MACHINE LEARNING WITH PYTHON written by Jason Test and published by . This book was released on 2020-11-06 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.

Python Programming

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Publisher :
ISBN 13 : 9781914167560
Total Pages : 234 pages
Book Rating : 4.1/5 (675 download)

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Book Synopsis Python Programming by : Andrew Park

Download or read book Python Programming written by Andrew Park and published by . This book was released on 2020-11-14 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading. Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language. That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science. Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms, In manuscript one, Python for Beginners, you will learn: How to install Python What are the different Python Data Types and Variables Basic Operators of Python Language Data Structures and Functions Conditional and Loops in Python And Much More! In manuscript two, Python Advanced Guide, you will master: Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools Exception Handling Working with Files And Much More! In manuscript three, Python for Data Analysis, you will learn: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis The 7 Python libraries that make Python one of the best choices for Data Analysis Pandas, Jupyter and PyTorch And Much More! In manuscript four, Applications to Data Science, you will understand: How Data Visualization and Matplotlib can help you to understand the data you are working with. Neural Networks Decision Trees What industries are using data to improve their business with 14 real-world applications And So Much More! Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding. Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications. Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy!

Python

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Publisher :
ISBN 13 :
Total Pages : 629 pages
Book Rating : 4.5/5 (979 download)

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Book Synopsis Python by : TechExp Academy

Download or read book Python written by TechExp Academy and published by . This book was released on 2021-01-20 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to learn Python Programming well and fast? Are you looking for the best Python for Data Analysis and Analytics course? Do you want to learn Data Science and how to leverage Python for it? Do want to learn Python Machine Learning and start implementing models? If yes, then this Python for Beginners Crash Course is for you. This is the most complete Python guide with 5 Manuscripts in 1 book: 1-Python For Beginners 2-Python Advanced Programming 3-Python for Data Analysis & Analytics 4-Python for Data Science 5-Python Machine Learning 450+ Pages of Pure Learning! A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples. In Manuscripts 1 and 2 "Python For Beginners" and "Python Advanced Programming" you'll learn: - What is Python - How to install Python and what is the best distribution - What are data types and variables - How to work with numbers in Python - What operators there are in Python and when to use them - How to manipulate Strings - How to implement Program Flow Controls - How to implement loops in Python - What are Python lists, Tuples, Sets, Dictionaries, and how to use them - How to create modules and functions - How to program according to the Object-Oriented paradigm - How to create classes - What are and how to use Inheritance, Polymorphism, Abstraction, and Encapsulation And much more... In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn: - What Data Analysis is and why it is important - What are the different types of Data Analysis - What are the 6 key steps of the Data Analysis process that you should follow - What are the applications of Data Analysis and Analytics - How to set up the Python environment for Data Analysis - What are and how to use Python Data Structures - How to work with IPython/Jupyter Notebook - How to work with NumPy - How to visualize data with Matplotlib - What other visualization libraries are out there - Why is Big Data important and how to get the best out of it - How to leverage Neural Networks for Data Analysis And much more... In Manuscript 4 "Python for Data Science" you'll learn: - What is Data Science and what does it encompass - What are the 5 key steps of the Data Science process that you should follow - How to set up the Python environment for Data Science - How to work with Seaborn data visualization module - What are the most important Machine Learning Algorithms - How to leverage the Scikit-Learn module for Machine Learning - How to leverage Data Science in the Cloud - What are the most important applications of Data Science And much more... In Manuscript 5 "Python Machine Learning" you'll learn - What is Machine Learning and what does it encompass - What are the 7 Steps of the Machine Learning Process - What are the different Machine Learning types - How is Machine Learning applied to the real world - What are the main Data Mining techniques - How to best set up the Python environment for Machine Learning - What are the most important Python libraries for Machine Learning And much more... Click the BUY button and download the book now to start learning well and fast!

Python for Data Analysis

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Author :
Publisher :
ISBN 13 : 9781914167027
Total Pages : 138 pages
Book Rating : 4.1/5 (67 download)

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Book Synopsis Python for Data Analysis by : Andrew Park

Download or read book Python for Data Analysis written by Andrew Park and published by . This book was released on 2020-11-13 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading. Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future. Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations. With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include: What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Pandas, Jupyter and PyTorch The 7 Python libraries that make Python one of the best choices for Data Analysis Neural Network How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More! While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics. Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications. Would You Like To Know More?Scroll Up And Click The BUY NOW Button To Get Your Copy!