Packt Publishing, 2018. - 398 p. - ISBN: 1788998510 !Only code files Invent your own Python scripts to automate your infrastructure Key Features Make the most of Python libraries and modules to automate your infrastructure Leverage Python programming to automate server configurations and administration tasks Efficiently develop your Python skill set Book Description Hands-On...
Packt Publishing, 2021. — 377 p. — ISBN: 978-1-80181-519-2. Code Files Only! Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets Key Features Understand techniques such as trend following, mean reversion, position-sizing, and risk management in a short-selling context Implement Python...
Exercises Code Repository for BRANDT J. Python 101- Basics for Beginners (Python for Beginners Book 1). — Digital Academy, 2022. This book has an accompanying code repository containing example source code as well as the answers to exercises and code challenges. The repository is broken up by chapter so you can check your code against the solutions provided by us after you...
Packt Publishing, 2020. — 528 p. — ISBN: 9781838989354. Implement investment strategies using real market data to perform effective financial and data analysis using Python Key Features Use core Python libraries to devise investment strategies to carry out financial analysis tasks. Implement necessary changes to your algorithmic strategies without human intervention. Uncover...
Leanpub, 2018. — 428 p. — ISBN: 1983154547. ReportLab has been around since the year 2000 and has remained the primary package that Python developers use for creating reports in the PDF format. It is an extremely powerful package that works across all the major platforms. This book will also introduce the reader to other Python PDF packages.
Apress, 2017. — 527 p. — ISBN: 1484200292. Code files only! Gain a fundamental understanding of Python’s syntax and features with this up–to–date introduction and practical reference. Covering a wide array of Python–related programming topics, including addressing language internals, database integration, network programming, and web services, you’ll be guided by sound...
Apress, 2018. — 95 p. — ISBN-13 (electronic): 978-1-4842-3802-8. Code files only! Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. In Personal Finance with Python you will learn Python and finance at the...
Source Code + README.txt for the book: Foundations of Agile Python Development. New York.: Apress, 2008.-416p, ISBN13: 978-1-4302-0636-1, eBook, English. You’ve long been enamored with the Python language, and have mastered its many nuances. Yet something seems to be missing - a productivity boost that you know is possible but you’re not sure how to go about it. This was the...
2nd Edition. — Apress, 2019. — 709 p. — ISBN: 978-1-4842-4245-2. Code files only! Leverage the numerical and mathematical modules in Python and its standard library as well as popular open-source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects,...
O’Reilly Media, 2002. — 450 p. — ISBN: 978-0596001285. Code files only! If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet,...
Apress, 2019. — 273 p. — ISBN: 1484248775. Discover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects. Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python...
O’Reilly Media, 2016. — Code Only. — ISBN: 978-1-4919-4881-1. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don’t need to know a thing about the Python programming...
Packt Publishing, 2019. — 770 p. — ISBN: 978-1-78961-279-0. Code files only! Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with PyQt and PySide2. Qt is one of the most widely used and flexible frameworks for GUI application development, allowing you to write your application once and then deploy it...
Packt Publishing – 2011, 336 p. ISBN: 9781849512923. Panda3D is a free and open-source game engine. It has been used successfully by hobbyists as well as big studios to create games ranging from quick prototypes to full-scale commercial MMOs. Panda3D makes it easy to use models, textures, and sounds to create impressive interactive experiences. With this book, you too will be...
Manning Publications, 2020. — 248 p. — ISBN: 978-1617295263. The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skills and confidence. The thorough explanations help you lock in...
3rd Edition. — No Starch Press, 2022. — ISBN: 978-1718502703. This is a collection of resources for Python Crash Course (3rd Ed.), an introductory programming book from No Starch Press by Eric Matthes. This will download the source code files for all chapters, as well as several data files and images you'll need for the projects.
Leanpub, November 2018. — 226 p. Code Files Only! This eBook gives you a fun way to start learning data science with Python. It gives you a thorough introduction Python's most important library for data science: NumPy. 100% Based on puzzle-based learning - scientifically proven to generate 44% better learning retention and efficiency. Do you want to learn data...
O’Reilly Media, 2012. — Code Only. — ISBN13: 978-1-4493-1979-3, ISBN10: 1-4493-1979-3. Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the...
Mercury Learning & Information, 2019. — 320 p. — ISBN: 978-1-683921-80-6. Code files only! This book will guide you through the basic game development process using Python, covering game topics including graphics, sound, artificial intelligence, animation, game engines, etc. Real games are created as you work through the text and significant parts of a game engine are built and...
JennaSys, 2021. — 533 p. — ASIN B09463VMYS. Project Files Only! Create responsive front-end web applications in Python using the React and Material-UI JavaScript libraries, without having to program in JavaScript, by using the Transcript transpiler that turns your Python code into JavaScript. Learn to create responsive front-end web applications in Python using the React and...
O’Reilly Media, Inc., 2021. — 730 p. — ISBN: 978-1492081005. Code Files Only! 2021-03-04: First Release While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. It's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein —...
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