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PYTHON PROGRAMMING: BEGINNERS GUIDE TO LEARN PYTHON PROGRAMMING AND ANALYSIS. UNLOCK YOUR POTENTIAL AND DEVELOP YOUR PROJECT IN FEW DAYS
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PYTHON PROGRAMMING

BEGINNERS GUIDE TO LEARN PYTHON PROGRAMMING AND ANALYSIS. UNLOCK YOUR POTENTIAL AND DEVELOP YOUR PROJECT IN FEW DAYS

AUTHOR: NICK LESSON

Table of Contents

Introduction

Python refers to an interpreting and scripting language, which is object-oriented. It falls under the category of high-level programming languages and exhibits dynamic semantics. Python has high-level inbuilt data structures as well as dynamic typing and binding, making it a suitable fit for Rapid Application Development. It can also be used as a glue or scripting language for joining together already existing components. Owing to its syntax, which is relatively simple and easy to learn, Python emphasizes readability, thus curbing the cost of maintaining the program. Python also supports packages and modules which foster reusing codes and modularizing the program.

How is Python Used?

Python is a programming language that can be used for many purposes. However, most important of all, Python is an interpreted language, meaning that during run-time, its written code isnt converted into a format that is readable by the computer. Whereas, many programming languages require this translation to be done before the program can be run. Programming languages with such qualities were known as scripting languages in the past because they were used to carry out trivial tasks. Albeit, this nomenclature changed as a result of Python. The reason is that it is commonplace for broad applications to be written almost exclusively in Python in contemporary times.

The application of Python can be used in the following ways:

In working with Files
In programming CGI for Web Applications
In reading from and Writing to PostgreSQL
In building RSS Readers
In reading from and writing to MySQL
In creating Calendars in HTML

How Can Python Help Me?

Youve learned a little about what Python is, but how can learning Python help you in your everyday life? One of the ways is that Python can actually help you get a job or even excel at your current job.

Python can be used to help with certain applications that you may be using in your job. For example, if you work for a software company, you may use Python for text processing. Text processing is going to help you log in files to your database so that you can easily access them and know what you need to do when you need to do it.

Python will also help you when it comes to jobs such as web design and even programming, which is a given. With the many functions of Python, you can use it for virtually any job that you could ever want. The only thing is that you will need to learn all of the different modules that Python has to offer in order to use Python for the specification of your job.

Even if your job does not use Python, you may be able to bring it into the workplace so that you can make things easier on yourself and your co-workers. Doing this will demonstrate initiative to your boss and may even earn you a promotion.

How to Learn Python

Figure Out a Reason for Learning Python

In learning Python programming, the primary step to take is figuring out the "why" element. To learn Python and target it towards fulfilling your needs, you have to decipher why exactly you want to learn it. This process is vital in helping you decipher what you would get out of the process and could be your motivation in the long run. It is also helpful in identifying the best way to get started as well as the other necessary skills required for the process.

In finding your 'why,' ponder on the following:

Why Python?

In learning to code, it is advisable to have a goal in sight during the learning process. Determining the level of skill you want to attain and how you hope to use that skill are vital factors to ponder on in picking a language. Pondering on these should help you decipher if Python is the right programming language for you. Also, you would be able to narrow down your choice of courses to reach your goals. Python, in itself, has its limits, so be sure it is the language that satisfies your needs and goals.

What Plans Have You Got for Learning Python?

If your reason for learning Python is to further a career in programming, you have to take to mind the skills necessary to succeed in your chosen field. For instance, if you want to enter the field of developing back-end web applications using Python, you would have to master skills in web development and framework.

How Much Time Can You Put into the Learning Process?

Deciphering how much time you can commit to the learning process is an essential factor to consider. The reason is that it is advisable not to take on more responsibilities than one can handle. It is possible to enroll in any course offering Python but making time out to commit to it is critical. If you have a limited amount of time to learn Python, your commitment to the learning process would be limited. Thus, you wouldn't be able to partake in physical classes that clash with your schedule. In this case, an online course is your best bet.

Chapter 1: Origin of Python

Python started as an idea back in 1989, when Guido van Rossum became aware of the shortcomings of the ABC language, mostly with extensibility. Rossum began to develop a new language, one that included all the great features that ABC had and some new features, like exception handling and extensibility. In 1994, the very first edition of Python was released, taking its system of modules from Modula-3, incorporating programming tools that were incredibly functional and being able to interact with Amoeba, an early operating system.

In 2000, Python 2.0 made its entrance into the programming world, a much-improved version with lots more improvisations, such as Unicode support and a garbage collector. Over the next 8 years, Python 2.0 was updated several times, and in December of 2008, Python 3.0 was released.

Backward compatibility was no longer possible with Python 3.o, meaning that you must either use 2.0 or 3.0, not both. Python 3.0 also gained a new design as a way of avoiding duplicative modules and constructs. However, it is still multi-paradigm, and it still offers developers all the options that a structured programming language offers, including functional programming, and it is still object oriented.

Today, Python comes in several different implementations, including IronPython, which is written for the Common Language Infrastructure in C#, Python, in the Java language and designed for Java Virtual Machine and PyPy, which was originally written in Rpython and then translated to C. However, by far the most popular implementation is CPython, a language that was developed by the Python Software Foundation. All of these will work on the language they are written in and can also interact with multiple other languages by using modules, most of which are free and open source. Python 3.4.2 was released in 2015 and offers significant improvements and new features, including better Unicode support.

Applications for Python

Python is used for many different applications, including:

Desktop applications that are GUI-based
Applications for graphic design and image processing
Computational applications
Scientific applications
Games
Web applications and web frameworks
Business and enterprise applications
Language development
Operating systems
Prototyping

How Python Compares to Other Languages

Owing to its popularity, Python is commonly brought under comparison with other interpreted languages, including, but not limited to the following; Smalltalk, Java, TCL, JavaScript, Perl, etcetera. There are also some comparisons made to Scheme, Common Lisp and C++. In comparing Python to these languages, the focus would be placed on issues regarding each language alone. Technically, the choice of any programming language depends on other apparent factors like training, cost, prior investment, availability, and sometimes even sentiments. Hence, this section is not an advantage comparison to prove what programming language is better than another.

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