Python Programming Language
Python is a programming language that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.
1. Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Python Crash Course is a fast-paced, thorough introduction to programming with Python that will have you writing programs, solving problems, and making things that work in no time.
As you work through Python Crash Course, you’ll learn how to:
- Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
- Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses
- Work with data to generate interactive visualizations
- Create and customize simple web apps and deploy them safely online
- Deal with mistakes and errors so you can solve your own programming problems
If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!
2. Automate the Boring Stuff with Python: Practical Programming for Total Beginners
In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to:
- Search for text in a file or across multiple files
- Create, update, move, and rename files and folders
- Search the Web and download online content
- Update and format data in Excel spreadsheets of any size
- Split, merge, watermark, and encrypt PDFs
- Send reminder emails and text notifications
- Fill out online forms
3. Make Your Own Neural Network
You’ll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks.
Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples.
Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals.
Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi.
4. Programming the Raspberry Pi, Second Edition: Getting Started with Python
Learn to create inventive programs and fun games on your powerful Raspberry Pi―with no programming experience required.
- Updated for Raspberry Pi 2
- Set up your Raspberry Pi and explore its features
- Navigate files, folders, and menus
- Write Python programs using the IDLE editor
- Use strings, lists, functions, and dictionaries
- Work with modules, classes, and methods
- Create user-friendly games using Pygame
- Build intuitive user interfaces with Tkinter
- Attach external electronics through the GPIO port
- Add powerful Web features to your projects
5. Python Pocket Reference: Python In Your Pocket (Pocket Reference (O’Reilly))
Written by Mark Lutz—widely recognized as the world’s leading Python trainer—Python Pocket Reference is an ideal companion to O’Reilly’s classic Python tutorials, Learning Python and Programming Python, also written by Mark.
This fifth edition covers:
- Built-in object types, including numbers, lists, dictionaries, and more
- Statements and syntax for creating and processing objects
- Functions and modules for structuring and reusing code
- Python’s object-oriented programming tools
- Built-in functions, exceptions, and attributes
- Special operator overloading methods
- Widely used standard library modules and extensions
- Command-line options and development tools
- Python idioms and hints
- The Python SQL Database API
6. Python: Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project.
Are you ready to dip your toes into the exciting world of Python coding? This book is for you. Click the BUY button and download it now.
What you’ll learn:
- What is Python?
- What software you need to code and run Python programs?
- What are variables?
- What mathematical operators are there in Python?
- What are the common data types in Python?
- What are Lists and Tuples?
- How to format strings
- How to accept user inputs and display outputs
- How to make decisions with If statements
- How to control the flow of program with loops
- How to handle errors and exceptions
- What are functions and modules?
- How to define your own functions and modules
- How to work with external files
7. Starting Out with Python (3rd Edition)
Starting Out with Python discusses control structures, functions, arrays, and pointers before objects and classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, detail-oriented explanations, and an abundance of exercises appear in every chapter.
This text is intended for a one-semester introductory programming course for students with limited programming experience. It is also appropriate for readers interested in introductory programming.
8. Learning Python, 5th Edition
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
- Explore Python’s major built-in object types such as numbers, lists, and dictionaries
- Create and process objects with Python statements, and learn Python’s general syntax model
- Use functions to avoid code redundancy and package code for reuse
- Organize statements, functions, and other tools into larger components with modules
- Dive into classes: Python’s object-oriented programming tool for structuring code
- Write large programs with Python’s exception-handling model and development tools
- Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing