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Python Course

Course Duration, Info & Schedule

Cousre Duration
1 Months (Offline Classes)
2hrs/day, 3Day/week
Design > Develop > Iterate
Upcoming Batch
1 October 2024
Course Info
Next Batch

Python Course - An Introduction

Overview:
Welcome to our Python course. In this course, you will cover the basics and advanced topics of Python. This course will cover the basics of programming with Python, including data types, control structures, and functions, and will also cover advanced topics of Python such as object-oriented programming and practical applications like working with files and libraries. After every session of this course, you will also be given exercises and projects. So that you will be able to implement whatever you learn in the course in real-world projects.

Course Objectives:

  • Learn Basic to Advanced Python
  • develop problem solving skills
  • Master Object-Oriented Programming
  • Working with Data
  • Building a real-world program

 

Course Modules

  • Python’s capabilities
  • Reasons for choosing Python
  • Important considerations
  • Comparison of Python syntax with other programming languages
  • Python installation and updates
  • Understanding the print statement
  • Exploring comments in Python
  • Overview of Python data structures and data types
  • String operations in Python
  • Basic input and output techniques
  • Formatting simple output
  • Overview of operators in Python
  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping
  • Crafting custom functions
  • Exploring function parameters
  • Variable arguments in functions
  • Understanding function scope
  • Documenting functions effectively
  • Lambda functions and the map function
  • Practical exercises with functions
  • Creating modules
  • Utilizing standard modules
  • Identifying errors
  • Implementing exception handling with the “try” statement
  • Managing multiple exceptions
  • Creating custom exceptions
  • Modes of file handling
  • Reading files
  • Writing and appending to files
  • Managing file exceptions
  • Utilizing the “with” statement
  • Modern Style Classes
  • Constructing classes
  • Defining instance methods
  • Exploring inheritance
  • Understanding polymorphism
  • Handling exception classes and creating custom exceptions
  • Understanding iterators
  • Exploring generators
  • Utilizing the functions “any” and “all”
  • Implementing the “with” statement
  • Data compression techniques
  • Employing list comprehensions
  • Exploring nested list comprehensions
  • Utilizing dictionary comprehensions
  • Understanding functions
  • Implementing default parameters
  • Using variable arguments
  • Applying specialized sorting methods
  • namedtuple
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString
  • Introduction to Tkinter
  • Understanding Components and Events in GUIs
  • Building an Example GUI
  • Exploring the Root Component
  • Incorporating Buttons into the GUI
  • Utilizing Entry Widgets
  • Working with Text Widgets
  • Implementing Check Buttons
  • Styling and Theming in Tkinter
  • Handling Events and Callbacks
  • Grid and Pack Layout Managers
  • Creating Menus and Toolbars
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors
  • Overview
  • Building a Daytime Server
  • Understanding Clients and Servers
  • Developing the Client Program
  • Implementing the Server Program
  • Introducing Time Delays with “sleep”
  • Measuring Program Execution Time
  • Exploring Additional Methods for Date and Time Manipulation
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen Sets
  • Collections
  • String Splitting Techniques
  • Handling Special Characters, Dates, and Emails
  • Understanding Quantifiers
  • Employing Match and Find All Operations
  • Manipulating Character Sequences with Substitution
  • Utilizing the Search Method
  • Thread Classes and Implementation
  • Exploring Multi-Threading Concepts
  • Synchronization Strategies in Threaded Environments
  • Understanding the Thread Lifecycle
  • Practical Use Cases of Threads
  • Introduction
  • Facebook Messenger
  • OpenWeather
  • Additional APIs
  • Understanding NumPy
  • Mastering Pandas
  • Exploring SciPy
  • Overview of Django
  • Installing Django
  • Project Creation
  • In-Depth Discussion on Project Usage
  • Application Creation
  • Building Hello World Page, Database Integration, Handling Static Files and Forms
  • Introduction to API and Security in Django

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    This course is designed for individuals with basic programming knowledge. Familiarity with concepts like variables, data types, loops, and functions will be beneficial. No prior experience with Python is required.
    You will learn the fundamentals of Python programming, including data structures, control flow, functions, and object-oriented programming (OOP). Additionally, the course covers web development with frameworks like Flask or Django, database interaction using SQLAlchemy, and deployment strategies.
    Yes, this course caters to beginners and those with foundational programming knowledge. It provides a solid introduction to Python and gradually progresses to advanced topics, making it accessible for learners at various skill levels.
    This course equips you with essential Python skills sought after by employers across various industries. You'll learn to develop web applications, automate tasks, analyze data, and more, making you proficient in one of the most versatile programming languages today.
    Yes, the course includes hands-on projects and assignments to reinforce your learning. These projects will range from building basic applications to more complex web development projects using Python frameworks. They are designed to help you apply what you've learned and build a portfolio of practical skills.