Python Data Science Handbook

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Python Data Science Handbook

Author : Jacob T. Vanderplas
ISBN : 1491912049
Genre : Data mining
File Size : 41.80 MB
Format : PDF, Mobi
Download : 974
Read : 1275

"For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Provided by publisher.
Category: Data mining

Python Data Science Handbook

Author : Jake VanderPlas
ISBN : 9781491912133
Genre : Computers
File Size : 22.55 MB
Format : PDF, Docs
Download : 112
Read : 506

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Category: Computers

Python Data Science Handbook

Author : Oliver Soranson
ISBN : 1706630069
Genre :
File Size : 79.87 MB
Format : PDF, ePub
Download : 456
Read : 1219

This book in detail will deal with a lot of concepts in layman explanation. Data science is one of the pioneers and most fast-developing tools now to develop applications. A little to know in a better way of this guide will help you understand a lot of things for the data science application. Here in this book, we will deal with many concepts that are either directly or indirectly linked to data science. First, we will start with a brief explanation of the data. Data is one of the most important things today. We will classify the data many times and in the next, we will discuss in detail the applications that machine learning and data science that deals with. In the next section, we will have a topic that will discuss all basic concepts in very little time. We will also discuss an example model that helps us understand things vividly. Also, there are a lot of concepts like NumPy, Pandas that should be dealt with in detail. We will also discuss data operations in detail. These are important and easy to learn. In the next few chapters, we will discuss topics like privacy and ethics. Below we will in detail list the main topics that are included in the book. · Explanation of data and types of data · A lot of explanation about third party libraries · Introduction to python · Introduction to a lot of python basic concepts · Basics of machine learning · Basics of data science like data modeling · Understanding complex topics like NumPy and pandas · A lot of description about privacy and ethics Why are you waiting for? Go grab this book.
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Python Data Science Handbook

Author : Jacob T. Vanderplas
ISBN : 1491912057
Genre : Computers
File Size : 77.62 MB
Format : PDF, Docs
Download : 184
Read : 307

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Category: Computers

Python Programming

Author : Oliver Soranson
ISBN : 9798632021449
Genre :
File Size : 36.35 MB
Format : PDF, Docs
Download : 444
Read : 1184

Discover the world of python with this incredible 3-in-1 book bundle! Do you want to uncover the secrets of python data analysis, data science, and machine learning? Looking for the best ways to familiarize yourself with this amazing language, no matter your level of experience? Then this is the bundle for you! Inside this incredible 3 book collection, you'll discover how you can get started with the world of python. Containing a wealth of practical strategies, tips and tricks, and easy-to-understand explanations, now it's never been easier to begin programming with the world of python. With a breakdown of data science, data analysis, and even the wonders of machine learning, this collection is perfect for anybody looking to begin their programming journey. Inside book one, you'll discover: An Exploration Of Machine Learning Must-Know Terminology, Notations, and Programming Jargon How To Use Conditional Statements How To Work With Pandas, Jupyter and Ipython Tips And Tricks For Creating Machine Learning Algorithms And More! Inside book two, you'll find: An Introduction To The World of Python Python Origins, History, And Function Breaking Down The Basics - Python Fundamentals You Need To Know Understanding Numpy Arrays, Operations, Objects, and The Data Preparing Data, Creating Statistics, and More And Real-Life Examples of Python In Action! And in book three, you'll learn: The Fundamentals of Data Science How Python Can Help You Manage Big Data Essential Strategies For Using Python In Data Science Acquiring, Examining, and Processing Data Exploring The Ethics and Privacy of Big Data And So Much More! So don't wait! It's time for you to discover why python is a favorite language for programmers the world over. Even if you're a complete beginner, or you've never used python before, this bundle explains everything you need to know in a simple, easy-to-follow way. Understand machine learning, discover how to analyze data, and begin your journey with python today! So what are you waiting for? Buy now to discover how to get started with python programming!
Category:

Python Data Science

Author : Jessica Rizzo
ISBN : 1081068000
Genre :
File Size : 40.65 MB
Format : PDF
Download : 340
Read : 1024

If you're tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself! Recently, more and more companies are learning that they need to make DATA-DRIVEN decisions. And with big data and data science on the rise, we now have more data than we know what to do with. In fact, without a doubt, you have already experienced data science in one way or another. Obviously, you are interacting with data science products every time you search for information on the web by using search engines such as Google, or asking for directions with your mobile phone. Data science is the science and technology focused on collecting raw data and processing it in an effective manner. It is the combination of concepts and methods that make it possible to give meaning and understandability to huge volumes of data. Data science has been the force behind resolving some of our most common daily tasks for several years. In nearly all of our daily work, we directly or indirectly work on storing and exchanging data. With the rapid development of technology, the need to store data effectively is also increasing. That's why it needs to be handled properly. Basically, data science unearths the hidden insights of raw-data and uses them for productive output. Python is often used in data science today because it is a mature programming language that has excellent properties for newbie programmers. Some of the most remarkable of these properties are its easy to read code, suppression of non-mandatory delimiters, dynamic typing, and dynamic memory usage. Python is an interpreted language, and it can be executed in the Python console without any need to compile to machine language. "Python Data Science" teaches a complete course of data science, including key topics like data integration, data mining, python etc. We will explore NumPy for numerical data, Pandas for data analysis, IPython, Scikit-learn and Tensorflow for machine learning and business. Each of the chapters in this book is devoted to one of the most interesting aspects of data analysis and processing. The following are some of the major topics covered in Python Data Science: Understanding Data Science Getting Started with Python for Data Scientists Descriptive statistics Data Analysis and Libraries NumPy Arrays and Vectorized Computation Data Analysis with Pandas Data Visualization Data Mining Classifying with Scikit-learn Estimators Giving Computers the Ability to Learn from Data Training Machine Learning Algorithms The Python ecosystem for data science discussed within Python Data Science includes SciPy, NumPy, Matplotlib, Pandas, and Scikit-learn, which provides all of the data science algorithms. Data processing and analysis is one of the hottest areas of IT, where developers who can handle projects of any level, from social networks to trained systems, are constantly required. We hope this book will be the starting point for your journey into the fascinating world of Data Science. To get started on your Python adventure, just scroll back up and click the 'Buy' button.
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The Data Science Handbook

Author : Field Cady
ISBN : 9781119092940
Genre : Mathematics
File Size : 45.82 MB
Format : PDF, Docs
Download : 993
Read : 1032

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
Category: Mathematics

Python Data Science

Author : Travis Booth
ISBN : 1071199900
Genre :
File Size : 79.80 MB
Format : PDF, Docs
Download : 684
Read : 1313

The complete beginner's guide to data manipulation and visualization with Python! From the basics of Python to the ins and outs of working with Pandas, NumPy and Matplotlib, this book has everything for those looking to get started with Python. Inside you will learn: A brief crash course in Python Data Munging and working with Pandas NumPy and data processing Data exploration and validation metrics Visualization with Matplotlib Learn how to solve real world problems through visualization today! BONUS: Get the eBook absolutely free on purchasing the paperback through Kindle Matchbook
Category:

Data Science Job How To Become A Data Scientist

Author : Przemek Chojecki
ISBN :
Genre : Computers
File Size : 29.63 MB
Format : PDF, Kindle
Download : 127
Read : 709

We’re living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It’s 2020 and we’re living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists. So if you want to make a career change and become a data scientist, now is the time. This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what’s important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview.
Category: Computers

Python Data Science

Author : Oliver Soranson
ISBN : 1801130167
Genre :
File Size : 51.62 MB
Format : PDF, Mobi
Download : 766
Read : 500

Explore the ultimate guide for Python data science and learn how to work with data the easy way. Are you a novice or experienced programmer, and you're looking for a deep-dive into the world of data science? Do you want to uncover the best ways to handle data using Python? Or are you in need of step-by-step advice to help you wrap your head around data sets, data wrangling and more? Then keep reading... As a favorite of programmers across the globe, Python offers a powerful and practical solution for all of your data science needs. But with so much advice out there and so many confusing approaches, how can you find a down-to-earth, beginner's introduction to this essential skill? Breaking down the details of Python data science, this ultimate guide reveals how you can kickstart your skills as a programmer and benefit from the wide range of tools and libraries which Python offers you. From data aggregation and machine learning to how you can collect and manipulate data, this brilliant handbook arms you with the must-have knowledge for becoming a data science pro. Here's just a little of what you'll find inside: Why YOU Should Be Using Python For Data Science A Simple Beginner's Examination of The Basics of Using Python The Amazing Ways The NumPy Library Can Help You With Data Science How To Collect, Manipulate, Clean and Prepare Your Data Practical Steps For Data Wrangling Surprisingly Simple Ways To Visualize Your Data and Draw Meaningful Conclusions And So Much More! With bonus advice on machine learning, practical examples of Python data science in action, as well as how you can benefit from extra libraries including IPython, Jupyter, Scikit-Learn and TensorFlow, now even a complete beginner can begin their journey with Python and become a data scientist in no time. Ready to discover the benefits of Python for data science? Then scroll up and grab your copy today!
Category:

Python

Author : Oliver Soranson
ISBN : 1801130191
Genre :
File Size : 81.80 MB
Format : PDF, Mobi
Download : 646
Read : 197

Master the world of Python programming with this ultimate collection. Are you an aspiring or established programmer, and you want to make the most of Python? Are you searching for simple, engaging, and comprehensive beginner's introductions to Python programming, neural networks, and more? Then keep reading! Combining an incredible nearly 700 pages of cutting-edge information, this brilliant collection offers you the ultimate introduction to the world of Python. Breaking down the basics of coding, machine learning, data analysis, data science and so much more, this complete bundle will open your mind to the possibilities of Python and show you how to master this amazing skill. With step-by-step instructions and down-to-earth advice that even a complete beginner can follow, this bundle is perfect for programming students, hobbyists, professional programmers who want to branch out and learn new things, and anyone who wants to unearth the countless benefits of Python. Here's what you'll discover inside this collection: - In Learning Python, you'll find an ultimate introduction to the world of Python, along with how you can begin programming and master the fundamentals. - In Python Machine Learning, you'll be taken on an exploration of machine learning systems, neural networks, and complex ai training with Python. - In Machine Learning With Python, you'll break down the details of Python's machine learning capabilities with practical advice and detailed overviews. - In Python For Data Analysis, you'll learn about the unique and highly-effective tools Python has for analyzing data, sorting information, and drawing conclusions. - In Python Data Science, you'll be taken one step further and uncover the complex world of data science, along with how Python can revolutionize this area and deliver powerful results. - And in the Python Data Science Handbook, you'll find a beginner's introduction to data science with Python, including how you can harness this skill for advanced programming. So if you're looking for an all-in-one introduction to the endless possibilities of Python, then this bundle is for you! Ready to begin mastering Python? Scroll up and grab your copy today!
Category:

Python For Data Analysis

Author : Wes McKinney
ISBN : 9781449319793
Genre : Computers
File Size : 83.2 MB
Format : PDF, ePub, Docs
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Read : 850

Presents case studies and instructions on how to solve data analysis problems using Python.
Category: Computers

Data Science From Scratch

Author : Joel Grus
ISBN : 149190142X
Genre : Computers
File Size : 47.15 MB
Format : PDF, Kindle
Download : 365
Read : 1051

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce and how to do it in Python Other applications such as NLP, Network Analysis, and more
Category: Computers

Python For Data Analysis

Author : Tony Hacking
ISBN : 1707911630
Genre :
File Size : 69.41 MB
Format : PDF, ePub, Mobi
Download : 276
Read : 770

Especially on the subject of Information Technology, Software development and web development, you will find books upon books each claiming to make you an expert in its respective field within minutes of purchase. Here we make no such claim! This book contains proven steps and strategies on how to understand and completely learn the language Python. But like other tools and languages the key to learn it is not in just reading the book but to get hands on experience by practicing the code that is given in examples as well as practice on your own. We have given many examples, feel free to change them as you like. The more you practice the more you will learn. Think of new ideas that can enhance your code and make it more useful. For example, if you have been given an example that will take two numbers and find their sum, try to write code for the same function of three numbers or more. Another important thing that readers should know is that this book is aimed at beginners, but it accommodates intermediate and more advanced programmers. I assume three types of readers would be interested in this book. Those who have no knowledge about programming, and this is their first venture in the world of software development. Secondly those who know programming and want to increase their software development skills by learning a new language, Python. And thirdly who understand Python and have worked with it and are interested in the book just to increase their knowledge of the language. Some of the topics that we are going to explore in this guidebook when it comes to advanced Python for Data Analysis will include: String Operations, Functions and Loops. How Convolutional Neural Networks Work and Their Applications. Machine Learning Advantages, Algorithms And Projects. What is Predictive Analystics with a lot of hands-on examples. Data Pre-Processing, Data Science and AI correlation. Here it is highly recommended to the readers that they search for other online resources to clarify and strengthen their concepts. This advanced book contains all of the information that you need in order to master and handle Python properly. The future is at your fingertips. Use it wisely!
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Author : جيمس جويس
ISBN :
Genre :
File Size : 57.12 MB
Format : PDF, ePub, Docs
Download : 673
Read : 400

Category:

Python Programming

Author : Frank Millstein
ISBN :
Genre : Computers
File Size : 75.44 MB
Format : PDF, ePub, Docs
Download : 193
Read : 999

Programming With Python - 8 BOOK BUNDLE!! Deep Learning With Keras Here Is A Preview Of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models And much more... Convolutional Neural Networks In Python Here Is A Preview Of What You’ll Learn Here… Convolutional neural networks structure How convolutional neural networks actually work Convolutional neural networks applications The importance of convolution operator How to build a simple image classification CNN And much, much more! Python Machine Learning Here Is A Preview Of What You’ll Learn Here… Basics behind machine learning techniques Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests Solving multi-clasisfication problems Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn Solving multi-label classification problems And much, much more... Machine Learning With TensorFlow Here Is A Preview Of What You’ll Learn Here… What is machine learning Main uses and benefits of machine learning How to get started with TensorFlow, installing and loading data Data flow graphs and basic TensorFlow expressions Creating MNIST classifiers with one-hot transformation And much, much more... Data Analytics With Python Here Is A Preview Of What You’ll Learn Here… What is Data Analytics? Difference between data science, big data and data analytics Installing python Python data structures Pandas series and data frames And much, much more... Natural Language Processing With Python Here Is A Preview Of What You’ll Learn Here… Challenges of natural language processing How natural language processing works? Part of speech tagging N-grams Running natural language processing script And much, much more... DevOps Handbook Here Is A Preview Of What You’ll Learn Here… Issues and mistakes plaguing software development What is software development life cycle? How software development life cycle works? The origins of devops Testing and building systems tools And much, much more... DevOps Adoption Here Is A Preview Of What You’ll Learn Here… Devops definition Overcoming traditional dev and ops Devops and security integration Devops success factors Is devops right for you? And much, much more... Get this book bundle NOW and SAVE money!
Category: Computers

Web And Network Data Science

Author : Thomas W. Miller
ISBN : 9780133887648
Genre : Computers
File Size : 65.45 MB
Format : PDF, ePub, Docs
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Read : 189

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
Category: Computers

Handbook Of Applied Spatial Analysis

Author : Manfred M. Fischer
ISBN : 3642036473
Genre : Business & Economics
File Size : 74.92 MB
Format : PDF, Mobi
Download : 431
Read : 1277

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.
Category: Business & Economics

Python Interviews

Author : Michael Driscoll
ISBN : 9781788391764
Genre : Computers
File Size : 44.35 MB
Format : PDF, ePub
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Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You’ll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python. Key Features Hear from these key Python thinkers about the current status of Python, and where it's heading in the future Listen to their close thoughts on significant Python topics, such as Python's role in scientific computing, and machine learning Understand the direction of Python, and what needs to change for Python 4 Book Description Each of these twenty Python Interviews can inspire and refresh your relationship with Python and the people who make Python what it is today. Let these interviews spark your own creativity, and discover how you also have the ability to make your mark on a thriving tech community. This book invites you to immerse in the Python landscape, and let these remarkable programmers show you how you too can connect and share with Python programmers around the world. Learn from their opinions, enjoy their stories, and use their tech tips. • Brett Cannon - former director of the PSF, Python core developer, led the migration to Python 3. • Steve Holden - tireless Python promoter and former chairman and director of the PSF. • Carol Willing - former director of the PSF and Python core developer, Project Jupyter Steering Council member. • Nick Coghlan - founding member of the PSF's Packaging Working Group and Python core developer. • Jessica McKellar - former director of the PSF and Python activist. • Marc-André Lemburg - Python core developer and founding member of the PSF. • Glyph Lefkowitz - founder of Twisted and fellow of the PSF • Doug Hellmann - fellow of the PSF, creator of the Python Module of the Week blog, Python community member since 1998. • Massimo Di Pierro - fellow of the PSF, data scientist and the inventor of web2py. • Alex Martelli - fellow of the PSF and co-author of Python in a Nutshell. • Barry Warsaw - fellow of the PSF, Python core developer since 1995, and original member of PythonLabs. • Tarek Ziadé - founder of Afpy and author of Expert Python Programming. • Sebastian Raschka - data scientist and author of Python Machine Learning. • Wesley Chun - fellow of the PSF and author of the Core Python Programming books. • Steven Lott - Python blogger and author of Python for Secret Agents. • Oliver Schoenborn - author of Pypubsub and wxPython mailing list contributor. • Al Sweigart - bestselling author of Automate the Boring Stuff with Python and creator of the Python modules Pyperclip and PyAutoGUI. • Luciano Ramalho - fellow of the PSF and the author of Fluent Python. • Mike Bayer - fellow of the PSF, creator of open source libraries including SQLAlchemy. • Jake Vanderplas - data scientist and author of Python Data Science Handbook. What you will learn How successful programmers think The history of Python Insights into the minds of the Python core team Trends in Python programming Who this book is for Python programmers and students interested in the way that Python is used – past and present – with useful anecdotes. It will also be of interest to those looking to gain insights from top programmers.
Category: Computers