PDF Free Download | Treading On Python Series Illustrated Guide To Python 3 A Complete Walkthrough Of Beginning Python With Unique Illustrations Showing How Python Really Works by Matt Harrison | PDF Free Download.
Introduction to Illustrated Guide To Python 3 PDF
Are You Ready To Jumpstart Your Python Programming Career? This book will arm you with years of knowledge and experience that are condensed into an easy to follow format.
Rather than taking months reading blogs, websites, and searching mailing lists and groups, this book will allow a programmer to quickly become knowledgeable and comfortable with Python. Programming is fun and Python makes it delightful.
Basic Python is not only easy but approachable for all ages. I have taught elementary students, teenagers, “industry” professionals, and “golden years” folks the Python programming language. If you are willing to read and type, you are about to begin an exciting path.
Where it ultimately takes you depends on how hard you are willing to work. There are different levels of Python. Basic Python syntax is small and easy to learn.
Once you master basic Python, doors will open to you. You should be able to read a lot of Python and understand it.
From there, you can learn more advanced topics, specific toolkits, start contributing to open source projects written in Python, or use that knowledge to learn other programming languages.
A recommended approach for learning the language is to read a chapter and then sit down at a computer and type out some of the examples found in the chapter.
Python makes it easy to get started, eliminating much of the hassle found in running programs in other languages. The temptation will likely be to merely read the book. By jumping in and actually typing the examples you will learn a lot more than by just reading.
Python Is Booming! It Is The Top Language Being Taught In Universities. Python developers are among the highest-paid. With the boom in data science, Python is quickly becoming one of the most desired skills for analytics.
Operations are also adopting Python to manage their backend systems. They are discovering what web developers using Python have known for a long time; namely, that Python will make you productive. Python has crossed the tipping point.
No longer are only small, agile startups relying on it. Looking to take advantage of its power and efficiency, enterprises have also converged on Python.
Over the past year, I’ve taught Python to hundreds of seasoned developers with years of experience at large companies, who are moving to Python. Python enables increased productivity. I came to Python as a Perl programmer.
At work, I was assigned to a team with a co-worker who was well versed in Tcl. Neither of us wanted to jump ship though both of us were interested in learning Python.
In 3 days our prototype was completed, much faster than we expected, and we both promptly forgot our previous “goto” language. What appealed to me about Python was that it fit my brain.
I firmly believe if you have some experience in programming, you can learn the basics of Python in a few days. Python is easy to learn.
For beginning programmers, Python is a great stepping stone. Learning to write simple programs is pretty easy, yet Python also scales up to complex “enterprise” systems. Python also scales with age I have personally seen people from 7-80+ learn basic programming skills using Python.
Which Version of Python?
This Book Will Focus On Python 3. Python 2 Has Served Us Well Over The years. The Python Software Foundation, which manages releases of the language, has stated that Python 2 is coming to an end. As such, after 2020 they will no longer support the language.
Python 3, has been out for a bit now and is somewhat backward-incompatible with the 2 series. For greenfield development, you should move forward with Python 3.
If you have legacy systems on Python 2, do not fret. In fact, most of the content in this book is perfectly applicable to Python 2. If you want to focus on Python 2, check out the prior version of this book.
Python 3 is not installed on most platforms. Some Linux distributions ship with it, but Windows and Mac users will need to install it. For Windows folks, go to the download area of the Python website 1 and find a link that says “Python 3.6 Windows Installer”.
This will link to a .msi file that will install Python on your Windows machine. Download the file, open it by double-clicking it, and follow the instructions to finish the installation.
On the Windows installer there is an option labeled “Add Python to PATH”. Please make sure it is checked.
That way, when you run python from the command prompt, it will know where to find the Python executable. Otherwise, you can go to System properties (click WIN+Pause, or run environ from the start menu), Advanced system settings, and click on the Environment Variables button.
There you can update the PATH variable by adding the following:
C:\Program Files\Python 3.6;C:\Program Files\Python 3.6\Scripts
If you have UAC (User Account Control) enabled on Windows, then path is:
Likewise, Mac users should download the Mac installer from the Python website
Another option for installing Python is to use the Anaconda 2 distribution. This runs on Windows, Mac, and Linux, and also provides many pre-built binaries for doing scientific calculations.
Traditionally, these libraries have been annoying to install as they wrap libraries written in C and Fortran, that require some setup for compiling. Mac users might also want to look into the Homebrew version 3.
If you are already familiar with Homebrew, it is a simple brew install python3 away
In addition to installing Python, you will need a text editor. An editor is a tool for writing code. A skilled craftsman will invest the time to learn to use their tool appropriately and it will pay dividends. Learning to use the features of an editor can make churning out code easier.
Many modern editors today have some semblance of support for Python. If you are just beginning with Python and have not had much experience with real text editors, most Python installations include IDLE, which has decent Python editing features.
The IDLE development environment also runs on Windows, Mac, and Linux. A feature to look for in editors is integration with the Python REPL 4. Later you will see an example with IDLE.
Hopefully, your editor of choice will have similar features. Popular editors with decent Python support include Emacs, Vim, Atom, Visual Studio Code, and Sublime Text.
If you are interested in more fancy editors that have support for refactoring tools and intelligent completion, PyCharm and Wing IDE are also popular.
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