Python Programming

Python created by Guido van Rossum is an interpreted, high-level, general-purpose programming language. It was released in 1991, its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Its design philosophy emphasizes code readability. Python is dynamically typed and garbage-collected.

Python is often described as a "batteries included" language due to its comprehensive standard library. Python interpreters are available for many operating systems. So it can be used for any type of operating system such as Linus, Windows, Ubuntu, etc. Hence, one can easily run off a software without worrying about system support.

It can be interpreted in the language with the help of a portable feature that makes it beneficial to use. In brief, write code on the Mac platform and run it smoothly on Windows as well.

There is no need to write a code in multiple languages with it. Python strives for a simpler, less-cluttered syntax and grammar while giving developers a choice in their coding methodology. You can use Python for developing desktop GUI applications, websites and web applications.

Python allows you to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the Python programming language makes it easier for a developer to keep the code base readable and application maintainable.

Many organizations are using Python these days to perform major tasks. The businesses are working on python skills and experience of the programmers that allows them to achieve a lot more. There is a better career opportunity when it comes to python as well as salary scope.

Few of them are as follows:

• Data Scientist
• DevOps Engineer
• Python Developer
• Senior Software Engineer
• Software Developer
• Software Engineer

As per the survey and job research, Python has topped the list of a programming language, IT companies are now depending on python for the major work. They are now embracing this programming language with open arms making it one of the best source to work on.

It is forcasted that there are over 40,000 jobs that are entirely for python experienced developers in major countries. Data science combined with python has the best career and future taking one to new heights.

Hence if you look forward to remain in the programming world than you should look at upgrading to Python language.

It will be beneficial to join the course for the obvious following reasons.

• Develop a fundamental understanding of the Python programming language.
• Have the skills and understanding of Python to confidently apply for Python programming jobs.
• Acquire the Python skills to move into specific branches - Machine Learning, Data Science etc..
• Add the Python Object-Oriented Programming (OOP) skills to your resume.
• Learn Python from experienced professional software developers.

Course Content:

• Module 1 : Python Programming
• Introduction
• Installation and Working with Python
• Understanding Python variables
• Python Basic Operators
• Python blocks
• Data Types
• Declaring and using Numeric data types
• Using String data type and operations
• Defining List
• Use of Tuple data type
• Python Program
• Flow Control Conditional blocks using if, else and elif
• Simple for loops in python
• For loop using ranges, string, list and dictionaries
• Use of while loops
• Loop manipulation using pass, continue, break and else
• Programming using Python conditional and loops block
• Functions, Modules & Packages
• Organizing python codes using functions
• Organizing python projects into modules
• Importing own module & external modules
• Understanding Lamda function in python
• Programming using functions, modules and external packages
• String, List & Dictionary
• Building blocks of python programs
• Understanding String in build methods
• List manipulation using in build methods
• Dictionary manipulation
• Programming using String, List and Dictionary in build functions
• File Operation
• Reading config files in python
• Writing log files in python
• Understanding read functions, read(), readline() and readlines()
• Understanding write functions, write() and writelines()
• Manipulating file pointer using seek Programming using file operations
• Object Oriented Programming
• Concept of class, object and instances
• Constructor, class attributes and destructors
• Inheritance, Overlapping and Overloading operators
• Adding and retrieving dynamic attributes of classes
• Regular Expression
• Pattern matching and searching
• Pattern searching using regex, real time parsing of data using regex
• Password, email, url validation using regular expression
• Exception Handling
• What is exception handling
• Safe guarding file operation using exception handling
• Handling error code
• Programming using Exception handling
• Multithreading
• Understanding threads
• Forking threads
• Synchronizing the threads
• Contacting User Through Emails
• Installing smtp python module
• Sending email
• Reading from file and sending emails to multiple users
• Python CGI Introduction
• Writing python program for CGI applications
• Creating menus and accessing files Server client program
• Module 2 : More Advanced Python
• Python Iterators
• Python Generators
• Python Closures
• Python Decorators
• Python @property
• Python XML parser
• What is XML?
• Difference between XML and HTML
• Difference between XML and JSON and Gson
• How to Parse XML
• How to Create XML Node
• Python vs JAVA
• XML and HTML
• Python Data Communication
• Creating a Database with SQLite 3,
• CRUD Operations,
• Creating a Database Object.
• Python MySQL Database Access
• DML and DDL Operations with Databases
• Performing Transactions
• Handling Database Errors
• Disconnecting Database
• Evaluation
• Technical Assignments
• Technical Test
• Technical Interview