- Draw and transform 2D and 3D graphics with matrices
- Make colorful designs like the Mandelbrot and Julia sets with complex numbers
- Use recursion to create fractals like the Koch snowflake and the Sierpinski triangle
- Generate virtual sheep that graze on grass and multiply autonomously
- Crack secret codes using genetic algorithms As you work through the book's numerous examples and increasingly challenging exercises, you'll code your own solutions, create beautiful visualizations, and see just how much more fun math can be
- Employ Python for functional programming using generators, pure functions, and functional functions
- Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs
- Apply dynamic performance analysis to identify bottlenecks in your code
- Work with relational databases and effectively manage and stream data with PostgreSQL If you've been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python
Like music and movies, video games are rapidly becoming an integral part of our lives. Over the years, you've yearned for every new gaming console, mastered each blockbuster within weeks after its release, and have even won a local gaming competition or two. But lately you've been spending a lot of time thinking about a game idea of your own, or are exploring the possibility of making a career of this vibrant and growing industry. But where should you begin?
Beginning Game Development with Python and Pygame is written with the budding game developer in mind, introducing games development through the Python programming language and the popular Pygame games development library. Authored by industry veteran and Python expert Will McGugan, who worked on the MotorStorm game for PlayStation 3, you'll be privy to insights that will not only help you to exploit Pygame to its maximum potential, but also make you a more creative and knowledgeable games developer all round.
- Learn how to create advanced games by taking advantage of the popular open source Python programming language and Pygame games development library
- Learn about coding gaming preferences, sound, visual effects, and joystick/keyboard interaction
- Discover the concepts that are crucial to success in today's gaming industry, such as support for multiple platforms, and granting users the ability to extend and customize your games
The easy way to learn programming fundamentals with Python
Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural.
Due to its ease of use and flexibility, Python is constantly growing in popularity--and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package--this book covers it all
- Use Python to create and run your first application
- Find out how to troubleshoot and fix errors
- Learn to work with Anaconda and use Magic Functions
- Benefit from completely updated and revised information since the last edition
If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.
Gain a fundamental understanding of Python's syntax and features with the second edition of Beginning Python, an 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 development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.
Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
I was always drawn to math and computers, ever since I was a kid playing computer games on my Sinclair ZX81. When I attended university, I had a special interest in numerical ana- sis, a field that I felt combines math and computers ideally. During my career, I learned of MATLAB, widely popular for digital signal processing, numerical analysis, and feedback and control. MATLAB's strong suits include a high-level programming language, excellent gra- ing capabilities, and numerous packages from almost every imaginable engineering field. But I found that MATLAB wasn't enough. I worked with very large files and needed the ability to manipulate both text and data. So I combined Perl, AWK, and Bash scripts to write programs that automate data analysis and visualization. And along the way, I've developed practices and ideas involving the organization of data--for example, ways to ensure file names are unique and self-explanatory. With the increasing popularity of the Internet, I learned of GNU/Linux and the open source movement. I made an effort to use open source software whenever possible, and so I've learned of GNU-Octave and gnuplot, which together provide excellent scientific computing functionality. That fit well on my Linux machine: Bash scripts, Perl and AWK, GNU-Octave and gnuplot. Knowing I was interested in programming languages and open source software, a friend suggested I give Python a try.
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.
In this second edition you'll learn about Spyder, which is a Python IDE with MATLAB(R) -like features. Here and throughout the book, you'll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples.
As part of this update, you'll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts.
Today's big data and computational scientists, financial analysts/engineers and web developers - like you - will find this updated book very relevant.
Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming.
Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks.
- Become familiar with Python's fundamentals, including ways to develop simple applications
- Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access
- Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics
- Learn how to apply the principles and techniques of object-oriented programming
- Benefit from the "tips and traps" section in each chapter
The Coding Manual teaches you everything you need to become a great programmer. Whether you need to boost your coding skills for school, work or just as a hobby, this comprehensive guide introduces the tools, terms and concepts that take you from a beginner to an experienced developer. Simple explanations and step-by-step guides ease you through the features of the Python programming language, providing you with everything you need to write code in the real world.