Course Overview
3h 8m | 28 Videos | 80994 Views | 
All Levels Learn Python Programming from Scratch training
Python is a dynamic modern computer programming language. It is quit complementary to FORTRAN, which is one of the earliest programming languages, but it is much more powerful than FORTRAN. Python allows to use variables without even declaring them (i.e., it concludes types implicitly), and it depends on indentation as a control structure. You are not forced to define classes in Python (unlike Java) but you are free to do so when convenient. Python was introduced by Guido van Rossum.
But Python is also free in other important ways, for example you are free to copy it wherever you want, and free to study the source code, and make changes to it.
Python is an object-oriented, interpreted, high-level programming language with powerful semantics. It has high-level built in data structures, combined with dynamic typing and dynamic binding; make it very efficient for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which boost program modularity and we can reuse the code. The Python interpreter and the extensive standard library are open source and binary files are available to use without charge for all major platforms, and can be freely distributed.
Often, programmers like to use Python because of capacity it provides. Since we don’t have compilation step, the edit-test-debug cycle is very fast. We can debug Python program is easily: a bug or wrong input will never cause a segmentation flaws. Instead, when the interpreter identifies an error, it gives an exception. The interpreter prints a stack traced, when it doesn’t catch any exception.
A debugger can inspect local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python’s introspective power. On the other side, frequently the quickest way to debug a program is to adding some print statements to the source. This fast edit-test-debug cycle makes the simple approach very efficient.
Python is a broadly used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as The language provides constructs intended to enable clear programs on both a small and large scale.
Python can support different types of including object-oriented, programming paradigms, imperative and functional programming or procedural styles. It has features like automatic memory management, dynamic type stream and has a comprehensive standard library.
We can use some third-party tools like Py2exe or Pyinstaller which can pack the python code into standalone executable programs. Many operating systems have python interpreters available with them.
CPython is the reference implementation of Python, it is free and open-source software and has a community-based development model.
Easy to understand: The syntax of Python is straightforward and clear. The way it is formulated, it enforces some order to programmers. Beginners and experts can comfortably figure out the code and everyone can become quite productive in Python very swiftly. It is quite crucial to mention that Python has lesser “dialects” than other famous languages, like Perl.
It is very straightforward to Get Support: The community of Python consistently offers good amount of support to the Python users. As we are already familiar of the fact that Python code is freely available for everyone and therefore many developers all over the world are working hard to find bugs and technique patches to fix all those bugs. a few individuals are crafting new improvement to the language and sending them for confirmation.
Quick to Code: Python programming language gives sudden feedback in a lot of ways. First of all, the programmer can easily skip several tasks that other languages want him to take. The expense of program maintenance comes down eventually. Python even grants a quick adaptation of the code. This language can simply be termed as a ready-to-run language, which just requires a simple code to be executed. Testing and designing with your programming code becomes quite easy with Python.
This language even offers a bottom up development style in which you can easily construct your applications by testing and importing crucial functions in the interpreter before you write the top-level code, which calls all the functions. Many people don’t know that interpreter can be easily extensible. It allows you to embed your favorite C code as a simple yet compiled extension module.
Quick to Learn: The Python programming language is quite easy to grasp as its source code simulate the pseudo code. Here, you don’t need to train yourself too much. You can get swift results without actually wasting too much of your time. As soon as you start learning the Python language, you can take out helpful coding almost rapidly. After you gain some practice, your productivity is going to strengthen a great deal. You can easily design an object- oriented and high level programming code. For small tasks, this is an effective feature.
Python has gained a reputation as being easy to learn. The syntax of the language is constructed to be readable. There’s plenty of argument on the subject, but the facts speak for themselves.
Much of Python’s popularity is in fields like scientific computing.
Can be reuse: Python motivates the program reusability by carefully implementing packages and modules. A colossal set of modules has already been introduced and is offered as the Standard Python Library, which is an essential part of the Python distribution. We can share the functionality between different programs just by breaking them into several modules and reusing them as components of other specific programs.Object-oriented Programming: Normally, scripting languages have different object-orientation support in the programming language. It can works as a simple add-on. Everything in this language is particularly designed to be object oriented. You can get started with the programming process by making use of non-OO structures. Object oriented programming is not just easy, but quite portable as well.
Python is Efficient
Python provides generators, both as expressions and from functions.
Python is broad
Python has been around for quite some time now, and is used in nearly every field of endeavor. A review thread asked the question how to use Python at work and the answers show tasks can range from systems automation, testing, and ETL to gaming, CGI and web development.
Disney uses Python to help power their creative process.
Mozilla also uses Python for exploring their extensive code base and releases tons of open source packages built in python.
Checking PyPi, the public package index for Python, shows 40 thousand add-ons available, across nearly 300 listed topic categories.
If you are doing something in Python, there are chances that someone else already has, and you don’t need to start from scratch.
Portability: python can run on different platform as well as it has similar interface on different platform. The design of this language isn’t particularly attached to a certain operating system as it is written in portable ANSI C. It implies that you can easily write a Python program on a Linux operating system, test it on a MAC system, and upload it to a Windows operating system.
WHY you should do PYTHON TRAINING?
In this online Python course you will learn how to program with the popular development language. This tutorial is designed for the beginner, and we do not expect that you have any experience with programming or development in order to learn how to program with Python using this video tutorial.
Some of the topics that this course covers like installing Python, data types and creating variables, input and output, decision making and repetition, iterators, list comprehension and functions. Trainer also covered topics like variable scope, modules – creating and using pre-built ones, object oriented programming, inheritance, exception handling and using data structures.
By the completion of this python for beginners video based training course, you will be having good knowledge on Python and how to apply it to developing applications. And in entire the course you will apply what you learn in real-world examples, reinforcing what trainer is teaching you.
Python is valuable for software development. While there are most potent languages (like Lisp), fastest languages (like C), mostly used languages (like Java), and weirder languages, Python has a lot of different things right, and right in a combination that no other language have. It recognizes that you’ll spend a lot more time reading code than writing it, and focuses on guiding developers to write readable code. It’s possible to write obfuscated code in Python, but the easiest way to write the code is that code should be reasonable, and more importantly: code that clearly signals intent. If you have prior knowledge on Python, you can work with almost any Python with little effort. Even libraries that add “magic” functionality can be written in perfectly readable Python (compare this to understanding the implementation of a framework such as spring in Java).
Python also endorse that speed of development is important. Readable and brief code is part of this, and so is access to powerful constructs that avoid tedious repetition of code. Maintainability also ties into this – LoC may be all but useless metric, but it tells how much code you have to scan, read and/or understand to troubleshoot problems or tweak behaviors.
This speed of development, the ease with which a programmer of other languages can easily grasp basic Python skills, and the huge standard library is key to another area where Python excels – tool making. Any project will have tasks to automate, and automating them in Python is in faster than using more mainstream languages.
Take this course now and master your skill!
In this online Python course you will learn how to program with the popular development language. This tutorial is designed for the beginner, and we do not expect that you have any experience with programming or development in order to learn how to program with Python using this video tutorial.
Target Audience for PYTHON Programming Training:
• Web Masters, Programmers, Entrepreneurs.
• This training course is for those programmers who want to move deeper into the Python programming development.
Pre-requisites for PYTHON Programming Training:
• A genuine interest to learn Python
• A basic understanding of web design or fundamental programming skills
