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The Python Apprentice

The Python Apprentice

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On the other hand, if you don't have any experience with programming this book may be a bit daunting. You'll be learning not just a programming language but many of the topics and issues common to all languages at the same time. And to be fair, we don't spend a lot of time trying to explain these areas of "assumed knowledge". This doesn't mean you can't learn from this book! It just means that you might have to work a bit harder, read sections multiple times, and perhaps get guidance from others. The reward for this effort, though, is that you'll start to develop the knowledge and instincts for approaching other languages, and this is a critical skill for the professional programmer. The whitespace you use can be either spaces or tabs. The general consensus is that spaces are preferable to tabs, and four spaces has become a standard in the Python community. I’ve had an amazing learning experience so far with The Apprentice Academy’s Data Analyst course. It’s given me the opportunity to learn things I’ve been wanting to for a while. The combination of regular taught sessions and online resources strikes a good balance, and I always feel supported whenever I need help. I’m excited to continue the course and dive into topics like machine learning and AI.” So when Python present us with the three dot prompt, we provide those four spaces and a statement to form the body of the loop: ... x = i * 10

To get help, simply type help at the prompt: >>> help Type help() for interactive help, or help(object) for help about object. Another of these PEPs, called PEP 20 is called “The Zen of Python”. It refers to 20 aphorisms describing the guiding principles of Python, only 19 of which have been written down. Conveniently, the Zen of Python is never further away than the nearest Python interpreter, as it can always be accessed from the REPL by typing: >>> import this The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!Now practice using help() to request specific help on the factorial function: >>> help(math.factorial) Help on built-in function factorial in module math: factorial(...) factorial(x) -> Integral Find x!. Raise a ValueError if x is negative or non-integral. One essential rule is NEVER to mix spaces and tabs. The Python interpreter will complain, and your colleagues will hunt you down. As mentioned earlier, Python comes with an extensive standard library, an aspect of Python that is often referred to as batteries included. The standard library is structured as modules, a topic we'll discuss in depth later. What's important at this stage is to know that you gain access to standard library modules by using the import keyword.

Within an interactive Python session you can enter fragments of Python programs and see instant results. Let's start with some simple arithmetic: >>> 2 + 2 4 >>> 6 * 7 42 Python will present you with a prompt of three dots to request that you provide the body. One distinctive (and sometimes controversial) aspect of Python is that leading whitespace is syntactically significant. Python is a general-purpose programming language. It's not intended for use in any particular domain or environment, but instead can be fruitfully used for a wide variety of tasks. There are, of course, some areas where it's less suitable than others – for example in extremely time-sensitive or memory-constrained environments – but for the most part Python is as flexible and adaptable as many modern programming language, and more so than most. There are some exceptions to these rules, but they almost always have to do with improving code readability in other ways, for example by breaking up necessarily long statements over multiple lines.Built-in types and the object model: We examine Python's type system and object system in detail, and we develop a strong sense of Python’s reference semantics. The control flow structures of Python, such as for-loops, while-loops, and if-statements, are all introduced by statements which are terminated by a colon, indicating that the body of the construct is to follow. For example, for-loops require a body, so if you enter: >>> for i in range(5): ... Insights & Data Analysts, Finance Directors, Financial Controllers, Business Development Associates, Commercial Planners, Business Improvement, HR Advisors, HR Operations, , Marketing Operations and Portfolio Managers. Duration of Data Analyst programme

Since import is a statement which doesn't return a value, Python doesn't print anything if the import succeeds, and we're immediately returned to the prompt. We can access the contents of the imported module by using the name of the module, followed by a dot, followed by the name of the attribute in the module that you need. Like many object The basic form of importing a module is simply the import keyword followed by a space and the name of the module. For example, lets see how we can use the standard library's math module to compute square roots. At the triple-arrow prompt we type the following command: >>> import mathI’ve been enrolled on the Data Analyst Level 4 apprenticeship scheme with The Apprentice Academy (TAA) for the last 6 months. The program provides a comprehensive and well-structured curriculum that I feel will equip me with the necessary skills to excel in the world of data analysis. I’m grateful to the trainers whose ability to simplify complex concepts into easier to understand digestible pieces of information has been key to my learning. TAA encourages and fosters a collaborative and inclusive learning environment, and each session is filled with enthusiasm and passion, making even the most challenging topics intriguing and enjoyable. Would strongly recommend.” Defining new types with classes: We cover developing your own complex data types in Python using classes to support object-oriented programming. Code examples in this book are shown in a lucida consoletext: >>> def square(x): ... return x * x ...

Files and Resource Management: We look at how to work with files in Python, and we cover the tools Python has for Resource Management. If you have Administrator privileges you should be able to add the paths C:\Python35 and C:\Python35\Scripts to the semicolon separated list ofexperiments become prototypes and your prototypes become products, Python makes the experience of writing software not just easier but truly enjoyable. As you can see, Python reads our input, evaluates it, prints the result, and loops around to do the same again. reference at the location listed above. DESCRIPTION This module is always available. It provides access to the mathematical functions defined by the C standard. FUNCTIONS acos(...) acos(x) Return the arc cosine (measured in radians) of x. In addition to installing the Python runtime and standard library, the installer will register various file types, such as *.py files, with the Python interpreter. We think Python is a great language, and we're excited to help you get started with it. By the time you get through this book, you will be able to write substantial Python programs, and you'll be able to read even more complex ones. More importantly, you'll have the foundation you need to go out and discover all of the more advanced topics in the language, and hopefully we'll get you excited enough about Python to actually do so. Python is a big language with a huge eco-system of software built in and around it, and it can be a real adventure to discover everything it has to offer.



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