Python Developer Course

Duration: 6 Months

Project: 2

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Python Development

Python, renowned for its versatility, is an essential tool for tasks ranging from script writing and application development to website creation and machine learning algorithm construction. Its user-friendly nature makes it the world's most popular programming language, opening doors to abundant global opportunities.


Python serves as the backbone of websites, enhancing user experiences. It's instrumental in scripting automation processes, tracking bugs, and controlling and testing software applications.

  • By Innovartic Solutions Team

Course Overview

Experience real-world scenarios with our hands-on lab sessions. Our training is designed to offer you the practical skills you need.

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  • Get an understanding of how to create GUIs in the Jupyter Notebook system!
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  • Learn to use Object Oriented Programming with classes!
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  • Create games with Python, like Tic Tac Toe and Blackjack!
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  • GIT/GITHUB and continuous using Jenkins
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  • Update extent reports and latest data driven framework dependencies
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  • You will build games and programs that use Python libraries.
Course Content (Core python)

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  • Python capabilities
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  • Essential Python knowledge
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  • Comparing Python's syntax with other programming languages
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  • Installing Python

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  • Displaying output using the print function
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  • Python comments
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  • Understanding Python data structures and types
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  • String manipulation in Python
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  • Basic input and output operations
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  • Formatting output
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  • Python operators

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  • Importance of indentation in Python
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  • Conditional if statements and related constructs
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  • Working with if and associated constructs: a walkthrough
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  • Iterating with while and for loops
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  • Using the range function
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  • Implementing break and continue
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  • The assert statement
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  • Looping examples

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  • Defining functions
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  • Parameter handling in functions
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  • Understanding variable arguments
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  • Scope and life cycle of variables
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  • Documenting functions
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  • Lambda functions and the map function
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  • Practical exercises on functions
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  • Creating and using modules
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  • Overview of standard Python modules

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  • Recognising errors in Python
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  • Managing exceptions with try and except
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  • Handling multiple exceptions
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  • Designing custom exceptions

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  • File operation modes
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  • Reading from files
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  • Writing and appending to files
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  • File-related exceptions
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  • Efficient file handling with the with statement

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  • Modern class creation
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  • Defining and using classes
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  • Instance methods and attributes
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  • Understanding inheritance
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  • Polymorphism in Python
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  • Designing exception classes and custom exceptions

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  • Understanding iterators
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  • Creating and using generators
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  • Efficient resource handling with the with statement
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  • Data compression methods

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  • Utilising list comprehensions and nested variants
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  • Dictionary comprehensions in action
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  • Function properties and attributes
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  • Using default parameters in functions
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  • Understanding variable arguments in detail
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  • Special sorting methods

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  • Using namedtuple
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  • Implementing deques
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  • Harnessing the ChainMap
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  • Utilising the Counter
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  • Sorting with OrderedDict
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  • Leveraging the defaultDict
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  • Customizing UserDict, UserList, and UserString
Course Content (Advanced Python)

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  • A brief overview of GUIs in Python
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  • Understanding components and events
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  • Walkthrough of a sample GUI
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  • Introduction to the root component
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  • Incorporating buttons and entry widgets
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  • Working with text widgets and check buttons

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  • Initial setup and installation
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  • Establishing database connections
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  • Database table creation
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  • CRUD operations: INSERT, READ, UPDATE, DELETE
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  • Implementing COMMIT and ROLLBACK
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  • Error management in database operations

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  • Introduction to network programming
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  • Setting up a daytime server
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  • Understanding the client-server model
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  • Sample client and server programs

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  • Pausing program execution with sleep
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  • Calculating program execution duration
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  • Additional date and time functions

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  • Filtering data in Python
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  • Data mapping techniques
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  • Reducing data efficiently
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  • Enhancing functions with decorators
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  • Understanding frozen sets
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  • In-depth look at Python collections

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  • Using split in regex
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  • Managing special characters, dates, and emails
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  • Implementing quantifiers
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  • Searching with match and findall
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  • Sequence character replacements
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  • The search method in regex

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  • Understanding classes and threads
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  • Multi-threading techniques
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  • Ensuring thread synchronisation
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  • Life cycle of threads
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  • Practical use cases for threading