Duration : 30 Hrs

What is python?

Python is an object-oriented, interpreted, high-level programming language with dynamic semantics. Python is easy and versatile. With its quick and fast approach it makes life easy for those who work with data. 

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 C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.

It is also the first step in many new age technologies like Machine Learning, Data Science, and Artificial Intelligence. It is extremely attractive in the field of Rapid Application Development because it offers dynamic binding options  and dynamic typing options.

Python is relatively simple, so it is very easy to learn but it requires a unique syntax that focuses on readability. Developers can  translate and read Python code much easier than other languages. In turn, this reduces the cost of program development and maintenance because it allows teams to work collaboratively without experience barriers and significant language.

Once you’ve developed a module or package you need, it can be scaled for use in other projects and it’s easy to export import these modules. as well, Python supports the use of modules and packages, which means that programs can be designed in a modular style and code can be reused across a variety of projects.

Why You Should Learn Python?

Python is one of the best programming languages requested by companies in 2017/2018. If you have not added Python to your programming skill set yet it is now the perfect time to start learning.For years private researchers and academic scholars were using the MATLAB language for scientific research.

With Python you are able to cover a wide range of use cases. You can implement GUI application, command line scripts and web applications. Furthermore the Python programming language is currently fuelling scientific computing.

That all started to change with the release of Python numerical computation libraries such as SciPy and NumPy. With those libraries included in your project it is easy to do complex calculations.

Over the past years, the Python programming has exploded in popularity in all areas of coding. From video game designers to web developers to in-house tool creators, many people have fallen in love with the language.

Why? Because it’s easy to use, easy to learn and very powerful. If you’re looking to pick up Python, you’re in luck. It has a very good feature like automatic memory management system. It supports multiple programming paradigms. Python has the large collection of pre-built and portable functionalities. Python is an open source. In most of the technologies, Python is being used.

Python was designed to be very extensible. This reduce modularity has made it mostly popular as a means of adding up programmable interfaces to existing applications. The main goal of Python’s developers is keeping it fun to use.

Introduction to UNIX
  • Introduction to the Unix operating system
  • Unix System Architecture
  • General purpose commands and utilities
  • File system commands and wild cards
  • Text processing utilities
  • Security Features in UNIX
Introduction to UNIX Shell Scripting
  • Shell scripting
    • Shell features and responsibilities, types of shell
    • Shell variables and positional parameters
    • Quotes, Command substitution
    • Decision and Iteration control
    • Customizing your environment
    • Functions
    • Advanced I/O redirection
    • Non portable features (from bash)
  • Debugging shell scripts
  • Secure shell scripting tips
  • Shell scripting Gotchas
Introduction to Perl scripting
  • Introduction to Perl scripting
  • Regular Expressions
  • Operators and String Handling Functions
  • Control Statements
  • Arrays and Hashes
  • File Handling Operations
  • Database Programming
  • Web Programming
Introduction to Python
  • Features of Python
  • Python v/s other languages
Python Basics
  • Data variables
  • Operators
  • Control Structures
  • String Inbuilt functions
  • Indentation in Python
Python Data Structures
  • Strings
  • Tuples
  • Lists
  • Dictionaries
Python Regular Expression
  • re module usage with functions like split, search, findall , compile etc
Standard library modules introduction with examples
  • Command Line Arguments
  • Operating System Interface
  • File and Directory management Utilities
  • File wildcards
  • Math, Date and time module
User defined functions
  • Default Arguments
  • Keyword Arguments
  • Variable Arguments
  • Lambda Functions
Modules and Packages
  • Module Creation and Invocation
  • Reloading Modules
  • dir function and its usage
  • Package creation and Invocation
  • file creation
Python File handling
  • Opening a file
  • Closing a file
  • Reading a file
  • write() method usage
  • tell() method usage
  • Seek function
  • File Object Attributes
Errors and Exception handling
  • Knowledge of Python errors
  • Exceptions
  • Raising the exception


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