Foundations of Data Science with Python (Chapman & Hall/CRC The Python Series)

 

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.

This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.

Key Features:

Applies a modern, computational approach to working with data

Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues

Teaches the fundamentals of some of the most important tools in the Python data-science stack

Provides a basic, but rigorous, introduction to Probability and its application to Statistics

Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

Hard Copy: Foundations of Data Science with Python (Chapman & Hall/CRC The Python Series)

Read More

Python for Data Analysis: From Basics to Advanced Data Science Techniques

 

Unlock the power of Python to analyze data, uncover insights, and drive decision-making with "Python for Data Analysis: From Basics to Advanced Data Science Techniques" Whether you're new to data analysis or looking to enhance your skills, this book offers a comprehensive journey through the tools, techniques, and concepts that make Python the go-to choice for data professionals.

Inside, you'll discover:

Foundational Python: Start from the basics of Python programming, including setting up your environment, understanding Python syntax, and exploring core concepts.

Mastering Pandas for Data Manipulation: Dive deep into Pandas for data cleaning, preparation, and manipulation, empowering you to handle and explore real-world datasets with ease.

Data Visualization Techniques: Learn to communicate your findings visually with Matplotlib and Seaborn, creating compelling and informative plots that bring your data to life.

Machine Learning Integration: Step into the world of machine learning with Scikit-Learn to apply predictive models to your data, from basic classification to complex regression tasks.

Advanced Data Analysis: Explore advanced topics, including working with big data using Dask, natural language processing (NLP), and an introduction to deep learning with TensorFlow and Keras.

Practical Projects and Case Studies: Apply what you've learned with hands-on projects and case studies that simulate real-world data analysis scenarios, enhancing your problem-solving skills and practical knowledge.

Future of Data Analysis: Look ahead to the emerging trends in data analysis and the ethical considerations of working with data, preparing you for the future of the field.

"Python for Data Analysis: From Basics to Advanced Data Science Techniques" is more than just a book; it's a comprehensive guide to becoming proficient in data analysis using Python. With clear explanations, practical examples, and step-by-step instructions, this book will equip you with the knowledge and skills you need to navigate the data landscape confidently and become an invaluable asset in your organization or field.

Hard Copy: Python for Data Analysis: From Basics to Advanced Data Science Techniques

Read More

Python for Data Science: A Hands-On Introduction

 

A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.

You will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.

Hard Copy: Python for Data Science: A Hands-On Introduction

Read More

Introduction to Python for Civil Engineers: a Beginner’s Guide

 

This book serves as a means to bridge the gap between civil engineering and programming skills, with a specific focus on Python. Python is highly regarded among users due to its user-friendly nature, making it applicable in a wide range of subjects such as:

• Data mining

• Big data problems

• Artificial intelligence

• Machine learning

• Engineering calculations

To master Python and acquire comprehensive knowledge, it is crucial to embark on your journey with a well-scripted book. Our aim in writing this book was to provide abundant examples that cater specifically to individuals with basic knowledge in civil engineering.

Now, why do civil engineers need to acquire knowledge about Python? The answer is simple: depending on the field a civil engineering graduate chooses to pursue, having Python skills can be pivotal. For instance, structural health monitoring is currently a trending topic, and effectively interpreting collocated data requires proficiency in data manipulation, visualization, and optimization techniques. Therefore, possessing these capabilities greatly increases your chances of securing your dream job.

"Introduction to Python for Civil Engineers: A Beginner's Guide" offers simple and thorough explanations of the basics, accompanied by numerous examples. After covering the fundamentals, the book delves into the useful and essential features of popular libraries including Numpy, Pandas, Matplotlib, and Scipy. Abundant examples and mini-projects are provided to enhance your understanding of these concepts. Additionally, the book includes four real-world projects with step-by-step solutions, guiding you through your very first hands-on training experiences.

So, what are you waiting for? Start your learning journey today!

Hard Copy: Introduction to Python for Civil Engineers: a Beginner’s Guide

Read More

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

 

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries

Key Features:

• Conduct Bayesian data analysis with step-by-step guidance
• Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling
• Enhance your learning with best practices through sample problems and practice exercises
• Purchase of the print or Kindle book includes a free PDF eBook.

Book Description:

The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection.

In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets.

By the end of this book, you will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges. You'll be well-prepared to delve into more advanced material or specialized statistical modeling if the need arises.

What You Will Learn:

• Build probabilistic models using PyMC and Bambi
• Analyze and interpret probabilistic models with ArviZ
• Acquire the skills to sanity-check models and modify them if necessary
• Build better models with prior and posterior predictive checks
• Learn the advantages and caveats of hierarchical models
• Compare models and choose between alternative ones
• Interpret results and apply your knowledge to real-world problems
• Explore common models from a unified probabilistic perspective
• Apply the Bayesian framework's flexibility for probabilistic thinking

Who this book is for:

If you are a student, data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory, so no previous statistical knowledge is required, although some experience in using Python and scientific libraries like NumPy is expected.

Hard Copy:  Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

Read More

Using Python to Interact with the Operating System

 

What you'll learn

Setup, configure, and use your own developer environment in Python

Manipulate files and processes running on the Operating System using Python

Understand and use regular expressions (regex), a powerful tool for processing text files

Know when to choose Bash or Python, and create small scripts using Bash

Join Free: Using Python to Interact with the Operating System

There are 7 modules in this course

By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.

We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allows us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.

Read More

Python Programming For Beginners: Crack the Code to Success, From Zero to Python Hero in Less 45 Days! Include Code Examples and Exercise | New Edition 2024

 

Are you ready to embark on a transformative journey into the world of Python programming?

Look no further than "Crack the Code to Success: From Zero to Python Hero in Less Than 45 Days!" This brand-new 2024 edition is your ultimate guide to mastering Python, and it's designed with you in mind.

🚀Kickstart your coding adventure with a book that takes you from absolute beginner to Python hero in under 45 days! 🚀

🔑Here's what you'll unlock along the way:

✓ Python Foundations: Start with the basics, from installing Python to writing your very first Python script. You'll gain a solid grasp of syntax and code structure, setting the stage for your journey.

✓ Control Flow: Dive into Python's conditional statements and loops. We guide you through them step by step, with practical exercises to reinforce your understanding.

✓ Data Structures: Discover how to work with lists, tuples, dictionaries, and sets. Get hands-on experience to cement your knowledge.

✓ Functions and Modularity: Learn to create and use functions effectively, understand parameters and return values, and gain insights into variable scope.

✓ Object-Oriented Python: Unlock the power of object-oriented programming (OOP). Understand classes, objects, constructors, attributes, methods, inheritance, and polymorphism.

✓ FileHandlingMaster: file input/output, work with JSON data, and become adept at handling exceptions during file operations.

✓ Python Modules and Packages: Explore standard modules, create custom ones, and structure larger projects like a pro.

✓ Python for Web Development: Take your skills to the web. Learn Flask, a web application framework, and handle routing, templates, databases, user authentication, and deployment.

✓ Data Handling and Analysis: Tackle real-world data with confidence. Read and write data, utilize SQLite, and perform data analysis with Pandas.

✓ Data Visualization: Make your data shine with Matplotlib, Seaborn, and Plotly. Create stunning visualizations that tell compelling stories.

✓ Best Practices and Beyond: Elevate your coding game with best practices for clean code. Explore Python's role in machine learning and find additional resources to fuel your learning journey.

Don't let your dreams of Python proficiency remain just dreams. Whether you're looking to land your dream job, tackle complex coding challenges, or simply expand your horizons, this book is your key to success.

Hard Copy: Python Programming For Beginners: Crack the Code to Success, From Zero to Python Hero in Less 45 Days! Include Code Examples and Exercise | New Edition 2024

Read More

Python Programming and SQL: 5 books in 1 - The #1 Coding Course from Beginner to Advanced. Learn it Well & Fast (2023) (Computer Programming)

 

Supercharge Your Career with Python programming and SQL: The #1 Coding Course from Beginner to Advanced (2024)

Are you looking to turbocharge your career prospects? Do you want to gain the skills that are in high demand in today's job market?

Whether you're a complete beginner or an experienced programmer, this #1 bestseller book is designed to make your learning journey simple, regardless of your current skills. It aims to guide you seamlessly through the content and fast-track your career in no time.

This 5-in-1 guide covers both Python and SQL fundamental and advanced concepts, ensuring that you not only gain a comprehensive understanding but also stand out among your peers and stay ahead of the competition:

✅ Step-by-Step Instructions: This easy-to-understand guide provides step-by-step instructions, making it effortless to grasp Python and SQL fundamentals.

✅ Fast Learning Curve: Progress rapidly from beginner to advanced levels with our carefully crafted curriculum. Gain confidence to tackle coding challenges.

✅ Boost Your Career: Acquire sought-after skills desired by employers, making you stand out in the job market. Get job-ready and attractive to potential employers.

✅ Competitive Edge: Stand out among peers with our cutting-edge course covering fundamentals and advanced concepts. Your coding proficiency will make you invaluable to any organization.

✅ Versatile Job Opportunities: Python and SQL open doors in tech, data analysis, web development, and more. Stay ahead of the competition.

✅ Start Writing Your Own Programs: Empower yourself to create efficient code, unleash creativity, and achieve peak performance.

✅ Real-World Projects: Gain practical experience through hands-on projects, showcasing your coding expertise effectively.

✅ Expert Guidance: Acquire practical skills and knowledge from expert guidance to become a proficient programmer.

Here are just a few things you'll learn in Python programming and SQL:

Get started with Python programming, covering variables, functions, loops, and conditionals

Discover how to work with data in Python, including data types, structures, and manipulation techniques

Learn different data structures, such as sequences, tuples, lists, matrices, and dictionaries

Understand conditional statements and their role in decision making

Discover object-oriented programming (OOP) and learn how to define classes and methods.

Discover the art of exception handling, ensuring robust and error-free code

Explore the power of algorithms, information processing and master the essential features of algorithms

Master file processing in Python, including opening, reading, writing, and appending files, etc.

Master SQL essentials such as basics of SQL, data types, statements, and clauses

Work with databases using SQL, including creating, modifying, and deleting tables and records.

Learn powerful queries: Perform joins, unions, ordering, grouping, and utilize aliases for advanced SQL queries

Explore efficient data management: Navigate MySQL, work with databases, tables, and views

Advanced techniques: explore stored procedures, indexing, truncating, and working with triggers

Master data optimization: Fine-tune SQL queries for optimal performance and efficiency

Gain practical skills and techniques that you can directly apply in you career

Hard Copy: Python Programming and SQL: 5 books in 1 - The #1 Coding Course from Beginner to Advanced. Learn it Well & Fast (2023) (Computer Programming)

Read More

Python Programming for Beginners: Go from Novice to Ninja with this Stress-Free Guide to Confident Python Programming Featuring Clear Explanations and Hands-on Examples

 

Learn to program in Python with confidence! Whether you're pursuing Python as a hobby, or seeking to advance your career, this book will help you go from novice to ninja.

What you'll get from this book:

Access to all the completed hands-on code. Don't worry if you get stuck, access to completed code samples is included so you can study and learn.

Clear understandable explanations. Every coding example is explained line-by-line so you don't just learn what to do, you'll also learn the thinking behind it.

What you'll learn:

How to install Python and set up an IDE.

Operators and Expressions.

Loops and iterations.

Functions and Methods

Data Structures: Lists, tuples, dictionaries, and sets.

Object-Oriented Programming.

Debugging and Troubleshooting.

Web Development.

Data Analysis and Visualization.

Scripting and Automation.

Database Basics and Python Integration.

By the time you're done, you'll have a fully functioning web-based weather app. You'll also know how to connect Python to a database and perform essential database functions. Whether you're learning Python as a hobby or to improve your skillset and marketability, this book is for you!

Hard Copy: Python Programming for Beginners: Go from Novice to Ninja with this Stress-Free Guide to Confident Python Programming Featuring Clear Explanations and Hands-on Examples

Read More

Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

 

Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps.

Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, he’ll show you the key Python web frameworks and techniques for building web apps with them. You’ll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. You’ll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms.

Web App Development and Real-Time Web Analytics with Python is ideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning.

What You Will Learn

Create interactive graphs and render static graphs into interactive ones

Understand the essentials of HTML, CSS, and Bootstrap

Gain insight into the key Python web frameworks, and how to develop web applications using them

Develop machine learning algorithms and integrate them into web apps

Secure web apps and deploy them to cloud platforms

Who This Book Is For

Intermediate data scientists, machine learning engineers, and web developers.

Hard Copy: Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps

Read More

Web Scraping With Selenium and Python: Build a Pinterest Web Scraper With Me

 

🚀 Welcome to the "Web Scraping with Selenium and Python" world! 🌐 Whether you're an experienced developer or a curious beginner, this book is your passport to the captivating realm of web scraping. In an era where data reigns supreme, mastering the art of extracting information from the vast expanses of the internet can be a game-changer.

🎯 Target Audience: Whether you're a data enthusiast, a business professional, or a tech-savvy hobbyist, the content is designed to benefit a wide range of readers. No prior web scraping experience is necessary, but a basic understanding of Python is essential.

💡 Purpose: As we navigate through the intricacies of this digital landscape, you'll discover how to leverage Python and Selenium to scrape dynamic websites, providing you with the tools to turn information into actionable insights.

🐍 Python Prerequisites: To join this adventure, a fundamental understanding of Python is a must. We won't cover Python basics in this book, so ensure you're comfortable with the language before diving in. If you're new to Python, consider brushing up on the basics to make the most of your web scraping journey.

🤖 Selenium: Ever wondered how to interact with dynamic websites? Enter Selenium, your trusty companion in the web scraping realm. Discover how to use Selenium to navigate through web pages, interact with elements, and extract the data you desire.

🔍 Project Focus – Pinterest Scraper: What better way to apply your newfound skills than working on a real project? This book guides you through creating a Pinterest scraper—from setting up your environment to handling dynamic content. Gain valuable insights immediately applicable to your projects.

🎢 So, fasten your seatbelt as we embark on a thrilling journey down "Web Scraping with Selenium and Python"! By the end of this book, you'll be equipped with the knowledge and skills to scrape data effectively, opening doors to endless possibilities in data-driven decision-making. Let the scraping adventure begin! 🌐✨

Hard Copy : Web Scraping With Selenium and Python: Build a Pinterest Web Scraper With Me

Read More

Python in Excel: IT'S CELL-FIE TIME: Smooth out that cell-ulite, flattening the curves with python in excel (The Pythonin Prodigy Series: Unveiling the Python Power Across Business Domains)

 

It's time to take a CELL-FIE and upgrade your excel game. With Microsoft now including direct support for python. The Future is now.

Discover the Game-Changer: Dive deep into the compelling world where Python meets Excel, revolutionizing data tasks, automating mundane processes, and elevating analysis to art. If there was ever a book that could make spreadsheets sizzle, this is it!

Why This Book?: This isn't just another technical guide. It's the bridge between two powerhouses in the digital realm. From Vancouver's bustling tech scene, Alice crafts a masterpiece, taking you on an insightful journey that unveils the synergies between Excel's versatility and Python's prowess.

For the Doers and Dreamers: Whether you're an entrepreneur like Hayden, an analyst, a data enthusiast, or someone who just adores spreadsheets, this book offers tools that can transform your workflow, insights that spark innovation, and techniques that promise efficiency.

Journey Beyond the Basics: Transcend beyond the traditional uses of Excel. Discover advanced data manipulations, real-time web integrations, machine learning implementations, and so much more! By the end, you'll be scripting your way to spreadsheet stardom.

Real-World Applications: With 600 meticulously crafted pages, each chapter resonates with Alice's passion and expertise, offering 20 detailed subsections that are rich with real-world examples, case studies, and hands-on challenges. It's practicality and theory in perfect harmony.

The Promise: "Python in Excel: The Ultimate Guide to Automation and Analysis" isn't just a book; it's a commitment. A commitment to upskilling, to innovating, and to mastering the tools of tomorrow, today.

Hard Copy: Python in Excel: IT'S CELL-FIE TIME: Smooth out that cell-ulite, flattening the curves with python in excel (The Pythonin Prodigy Series: Unveiling the Python Power Across Business Domains)

Read More

Advancing into Analytics: From Excel to Python and R

 

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.

Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.

This practical book guides you through:

Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analytics

From Excel to R: Cleanly transfer what you've learned about working with data from Excel to R

From Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

Hard Copy: Advancing into Analytics: From Excel to Python and R

Read More

Excel With Python: Unlock Your Inner Range: An Introduction to the integration of Python and Excel

 

Excel With Python: Unlock Your Inner Range

Step into the realm of high-stack efficiency with Excel with Python: Unlock your Inner range". This comprehensive guide lays the foundation to master Python and Excel as a dynamic duo to streamline your daily tasks and complex data analytics needs. The book radically transforms the newcomer coder into a proficient automation specialist, who can leverage these powerful tools to execute with precision, speed, and accuracy. From installing Python to sophisticated data analysis case studies, this book has it all.

The book begins by introducing you to the world of Python and Excel, subsequently guiding you through setting up your development environment. As your confidence grows, immerse yourself in mastering Python basics and essential Excel features under the guidance of expert Hayden Van Der Post. A special focus has been laid on interacting between Python and Excel, where you will explore exciting dimensions like reading, writing, and manipulating Excel files with Python.

Going deeper into uncharted realms, the book uncovers robust Python tools for Excel to deal with different types of data, integrating Python scripts in Excel, and dives into in-depth data analyses, including Descriptive Statistics, Hypothesis Testing, and Machine Learning Basics. The journey wouldn't be complete without exploring data cleaning and preparation and automating excel tasks using Python, leading you to become a full-stack data handler.

The book further takes a practical turn with real-world projects encapsulating automated report generation, inventory management system, and customer data management to shape your applications in Python to solve real-world problems.

Readers will conclude their journey with a wealth of knowledge. Whether you're a student, a data analyst, or an amateur tech enthusiast, this enlightening guide empowers you to capitalize on the powerful blend of Python and Excel, and level up your analytics game. Ensure your place in an increasingly data-driven world and transform the way you analyze, interpret, process, and present complex data.

Hard Copy: Excel With Python: Unlock Your Inner Range: An Introduction to the integration of Python and Excel

Read More

Excel God: Python with VBA for Excel: Become an Excel God by Integrating VBA & Python in Excel

 

In 2024 Become an Excel God

Embark on a transformative journey into the world of spreadsheet mastery with "Excel God: Python with VBA in Excel," the ultimate guide for anyone looking to harness the full power of Microsoft Excel. This comprehensive tome is not just a book; it's a career accelerator that bestows you with the divine skills to become the omnipotent Excel user you've always aspired to be.

Key Points:

- **Leverage Dual Forces:** Unlock the might of both VBA (Visual Basic for Applications) and Python, two of the most powerful tools in data manipulation and automation, to perform sorcery in Excel.

- **Streamlined Learning:** Whether you're a seasoned data analyst or an Excel enthusiast, this guide takes you from beginner to expert with clear, step-by-step instructions tailored to optimize your learning curve.

- **Real-World Applications:** Strengthen your knowledge with practical examples that showcase how integrating Python with VBA can solve complex data challenges with the grace of a virtuoso.

- **Automation Mastery:** Learn to automate tedious tasks, create intelligent macros, and develop custom functions that will save you hours of manual work and make errors a thing of the past.

- **Data Analysis Brilliance:** Dive into advanced data analysis techniques, enabling you to churn through big data, generate insightful reports, and dazzle with your efficiency.

Target Audience:

- Business professionals across industries who seek to improve their productivity and data analysis skills with Excel.

- Data analysts, financial analysts, and researchers who want to maximize the potential of Excel in their day-to-day responsibilities.

- Students and educators looking for a comprehensive resource to complement their curriculum in computer science, business administration, or data science.

- IT professionals and software developers who wish to bridge their programming knowledge with Excel tasks to provide integrated solutions.

- Any individual who has felt limited by Excel's capabilities and yearns to unlock its true potential to become an Excel deity.

Elevate yourself to the heights of Excel mastery with "Excel God: Python with VBA in Excel" and watch as the sheer power of automation, analysis, and application forever change the way you work with data. Answer the divine call to become the greatest Excel user of all time – the Excel God awaits you.

Hard Copy: Excel God: Python with VBA for Excel: Become an Excel God by Integrating VBA & Python in Excel

Read More

Pandas in Action

 

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

Hard Copy: Pandas in Action

Read More

Financial Theory with Python: A Gentle Introduction

 

Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.

Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.

Draw upon mathematics to learn the foundations of financial theory and Python programming

Learn about financial theory, financial data modeling, and the use of Python for computational finance

Leverage simple economic models to better understand basic notions of finance and Python programming concepts

Use both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocation

Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy

Hard Copy: Financial Theory with Python: A Gentle Introduction

Read More

Python for Finance Kindle Edition

 

A beginner's guide for learning Python in the context of finance and economics. Ideal for undergraduate and graduate students who want to learn coding, but have no experience before. The book has easy to understand step-by-step instructions and plenty of exercises.

Hard Copy: Python for Finance Kindle Edition

Read More

The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)

 

Become A Python Expert From Scratch!

Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range from machine learning, over computer networking to business applications.

In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert!

What You Will Learn:

Beginner Level:

• Basics of Programming with Python• Automation of Simple Processes• Programming of Modular Python Applications• Easy Transition to Other Languages (Java, C++ etc.)

Intermediate Level:

• Object-Oriented Programming• Network Programming• Penetration Testing with Python• Regular Expressions• Multithreading• XML Processing• Database Programming• Logging

Data Science:

• Analyzing and Processing Big Data• Statistical Calculations with Python• Visualization of Data• Working with NumPy, Matplotlib and Pandas

Machine Learning:

• Predicting Data with Machine Learning• Building Neural Networks with Tensorflow• Recognizing Handwritten Digits with Neural Networks• Applying Linear Models like Regression• K-Nearest-Neighbors Classification• K-Means Clustering• Support Vector Machines

Finance:

• Financial Analysis with Python• Analyzing and Graphing Stock Data• Plotting Trendlines• Predicting Share Prices with Machine Learning

Neural Networks:

• Generating Poetic Texts with Neural Networks• Predicting Sequential Data (Stocks, Weather etc.)• Processing Audio and Video Data• Recognizing Objects Like Horses, Cars and Trucks on Images• Understanding Recurrent Neural Networks• Understanding Convolutional Neural Networks

Computer Vision:

• Making unreadable texts readable again with thresholding• Extracting essential information out of images and videos• Edge detection• Template matching and feature matching• Movement detection in videos• Professional object recognition with OpenCV

Start Your Journey And Become A Python Expert With The Python Bible!

Hard Copy: The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)

Read More

Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis: A comprehensive guide to the implementation of Python in Financial Analysis

 

Reactive Publishing

Unlock the full potential of financial modeling with "Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis." This groundbreaking book is the ultimate guide for finance professionals eager to master the fusion of Excel’s user-friendly interface with Python's powerful computational abilities. Whether you're starting your journey in financial analysis or looking to sharpen your existing skills, this book is tailored to catapult your expertise to the forefront of the industry.

Dive into the rich, instructional content that begins with a foundational understanding of Excel and Python’s role in contemporary financial analysis, moving seamlessly into practical applications that will revolutionize your workflow. With a clear, step-by-step approach, you'll learn to structure models for clarity and precision, validate data to ensure accuracy, and document your work for transparency and reproducibility.

Each chapter unfolds new dimensions of Excel and Python, from basic operations to advanced techniques like machine learning and AI, ensuring you’re equipped for the future of finance. Real-world examples bring theory to life, offering hands-on experience in building dynamic, responsive financial models.

With this book, you'll discover:

A comprehensive overview of advanced Excel features and Python's role in financial modeling.

Techniques to enhance data integrity, perform rigorous validation, and ensure model transparency.

Best practices in model structure and design to optimize your analytical workflow.

The integration of Excel with Python for automation, data analysis, and predictive modeling.

Cutting-edge topics including machine learning, AI, and blockchain in financial modeling.

"Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis" is more than just a manual; it’s a mentorship journey. Prepare to be challenged and inspired as you elevate your financial modeling skills. Embrace the future of financial analysis with confidence—get your copy today and transform data into decisions.

This book isn't just an investment in your career; it's the blueprint for your future at the forefront of financial analysis. Join the ranks of finance professionals who are shaping the industry — one model at a time. Add to cart now and begin the journey that sets you apart.

Hard Copy: Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis: A comprehensive guide to the implementation of Python in Financial Analysis

Read More