Working with lists: indexing, slicing, and manipulation - Online And Classroom Training Courses With Certification

Full Stack Python Developer Working with lists: indexing, slicing, and manipulation

Full Stack Python Developer

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Module 1: Introduction to Python

Introduction to programming and Python

Installing and setting up Python

Python's interactive mode and scripting

Basic syntax and data types

Writing and executing simple programs

Module 2: Control Structures and Loops

Conditional statements: if, elif, else

Logical operators and comparisons

Introduction to loops: while and for

Using break and continue statements

Nested loops and loop optimization

Module 3: Functions and Modules

Defining and calling functions

Function parameters and return values

Scope and lifetime of variables

Creating and using modules

Standard library modules and their applications

Module 4: Lists, Tuples, and Dictionaries

Working with lists: indexing, slicing, and manipulation

Understanding tuples and their immutability

Introduction to dictionaries and key-value pairs

Dictionary methods and practical use cases

Combining data structures for complex applications

Module 5: File Handling and Exception Handling

Reading from and writing to files

Managing file pointers and modes

Handling exceptions and using try-except blocks

Exception hierarchy and custom exceptions

Best practices for error handling and resource management

Module 6: Object-Oriented Programming (OOP) Basics

OOP concepts: classes, objects, attributes, and methods

Defining classes and creating objects

Constructors and destructors

Inheritance and polymorphism

Encapsulation and access modifiers

Module 7: Advanced OOP Concepts

Method overriding and overloading

Abstract classes and interfaces

Composition vs. inheritance

Working with multiple inheritance

Design principles: SOLID and DRY

Module 8: Working with Modules and Packages

Creating and using modules in-depth

Python's module search path

Introduction to packages and their structure

Importing and organizing modules within packages

Distributing your own packages

Module 9: Regular Expressions and Text Processing

Understanding regular expressions

Pattern matching using regex

Using regex in string manipulation

Search, match, and substitution operations

Practical applications in data validation and manipulation

Module 10: Introduction to Data Visualization

Data visualization importance and principles

Introduction to data visualization libraries

Creating basic plots with Matplotlib

Customizing plots: labels, titles, colors, and styles

Visualizing data trends and patterns

Module 11: Working with External APIs

Introduction to APIs and their significance

Making HTTP requests with Python

Parsing JSON responses

Authentication and API tokens

Building a practical application using an external API

Module 12: Final Project and Best Practices

Planning and designing a Python project

Applying programming concepts to a real-world scenario

Implementing a complete Python application

Code documentation and commenting

Version control with Git and project submission

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