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Python Mastery: From Basics to Advance Day 3

Python Mastery: From Basics to Advance – Live Training   Discover the art of Python programming with Isha’s immersive course led by our seasoned industry expert boasting 7 years of hands-on experience. Delve into Python’s intricacies through interactive sessions and …

Event Information

  • Price Rs.6,900.00 per participant
  • Location Online
  • Start Time 9:00 pm April 16, 2024
  • Finish Time 10:00 pm April 16, 2024
  • Capacity Limited to 100 people

Python Mastery: From Basics to Advance – Live Training

 

Discover the art of Python programming with Isha’s immersive course led by our seasoned industry expert boasting 7 years of hands-on experience. Delve into Python’s intricacies through interactive sessions and practical examples, tailored to meet today’s job market demands. Our meticulously crafted syllabus ensures you grasp all essential Python concepts, empowering you to thrive in the ever-evolving tech landscape. Join us to embark on a transformative journey towards mastering Python development.

 

About the Instructor:

Banu, an IT Trainer, expertly wields her extensive technical prowess across software and web development, software testing, and databases, cultivated through 7 years of immersive practice. Her illustrious international career of 6 years has imbued her teaching methodology with a rich tapestry of diverse approaches, seamlessly blending global best practices and innovative techniques. As a result, Banu delivers instruction in the IT domain that is not only comprehensive but also deeply impactful, guiding her students towards mastery with finesse and precision

 

 

Sample Videos:

“Python Mastery: From Basics to Advance” -Demo video:

“Python Mastery : From Basics to Advance” -Day 1 video

 

Live Sessions Price:

For LIVE sessions – Offer price after discount is 159 USD 109 USD 99 USD Or 13000 INR9900 INR 6900 Rupees

Enroll For Free Demo

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Who can enroll in this course?

  • Beginners: Individuals with little to no programming experience who want to learn Python from scratch.
  • Students: High school or college students looking to enhance their programming skills or pursue a career in software development.
  • Professionals: Working professionals seeking to upskill or transition into roles requiring Python proficiency, such as data analysis, web development, or automation.
  • Career Changers: Individuals looking to switch careers or explore opportunities in the rapidly growing field of Python programming.
  • Anyone Interested in Programming: Enthusiasts interested in learning a versatile and widely-used programming language for personal or professional growth.

 

What will I Learn by the end of this course?

  • Python Fundamentals: They’ll understand Python’s basics like syntax, variables, and data types.
  • Data Handling: Students will master working with lists, tuples, dictionaries, and sets for efficient data management.
  • File Operations: They’ll be proficient in reading and writing files, managing text and binary data.
  • Functions and Modularization: Students will grasp how to create and use functions for better code organization and reusability.
  • Object-Oriented Programming: They’ll learn to design and implement classes, objects, and inheritance for building robust applications.
  • Error Handling and Advanced Techniques: Students will gain skills in managing errors, using regular expressions, and interfacing with databases for real-world application development.

 

Free day 3 Session:

18th April @ 8 PM – 9 PM (IST) (Indian Timings)

18th April @ 10:30 AM – 11:30 AM (EST) (U.S Timings)

18th April @ 3:30 PM – 4:30 PM (BST) (UK Timings)

 

Class Schedule:

For Participants in India: Monday to Friday 8 PM – 9 PM (IST)

For Participants in US: Monday to Friday 10:30 AM – 11:30 AM (EST)

For Participants in UK: Monday to Friday 3:30 PM – 4:30 PM (BST)

 

What student’s have to say about Banu:

The course is well-organized, making it easy to follow and understand each topic.. – Meenakashi

It covers a wide range of essential Python concepts, ensuring a thorough understanding of the language. –Shyam

The teaching style keeps students engaged and motivated throughout the course. – Graham

Practical projects make learning data analysis enjoyable, a must for anyone interested in entering the field of data science. – Ananya

The trainer demonstrates deep knowledge and expertise in Python programming, enriching the learning experience.- Monith

The trainer explains concepts clearly and concisely, making complex topics easier to grasp. – Nagesh

The trainer keeps students engaged throughout the course, fostering active participation and learning. – Sridhar

 

Salient Features:

  • 35 – 40 Hours of Live Training along with recorded videos
  • Lifetime access to the recorded videos
  • Course Completion Certificate

 

Course syllabus:

Chapter 1: Introduction to Python

  • What is Python and history of Python?
  • Unique features of Python
  • Python-2 and Python-3 differences
  • Install Python and Environment Setup
  • First Python Program
  • Python Identifiers, Keywords and Indentation
  • Comments and document interlude in Python
  • Command line arguments
  • Getting User Input
  • Python Data Types
  • What are variables?
  • Python Core objects and Functions
  • Number and Maths

 

Chapter 2: List, Ranges & Tuples in Python

  • Introduction
  • Lists in Python
  • More About Lists
  • Understanding Iterators
  • Generators , Comprehensions and Lambda Expressions
    • Introduction
    • Generators and Yield
    • Next and Ranges
  • Understanding and using Ranges
  • More About Ranges
  • Ordered Sets with tuples

 

Chapter 3: Python Dictionaries and Sets

  • Introduction to the section
  • Python Dictionaries
  • More on Dictionaries
  • Sets
  • Python Sets Examples

 

Chapter 4: Input and Output in Python

  • Reading and writing text files
  • writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually
  • Using Pickle to Write Binary Files

 

Chapter 5: Python built in function

  • Python user defined functions
  • Python packages functions
  • Defining and calling Function
  • The anonymous Functions
  • Loops and statement in Python
  • Python Modules & Packages

 

Chapter 6: Python Object Oriented

  • Overview of OOP
  • Creating Classes and Objects
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects

 

Chapter 7: Python Exceptions Handling

  • What is Exception?
  • Handling an exception
  • try….except…else
  • try-finally clause
  • Argument of an Exception
  • Python Standard Exceptions
  • Raising an exceptions
  • User-Defined Exceptions

 

Chapter 8: Python Regular Expressions

  • What are regular expressions?
  • The match Function
  • The search Function
  • Matching vs searching
  • Search and Replace
  • Extended Regular Expressions
  • Wildcard

 

Chapter 9: Using Databases in Python

  • Python MySQL Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ, UPDATE and DELETE Operation
  • DML and DDL Oepration with Databases
  • Performing Transactions
  • Handling Database Errors