If you’re looking for a programming language that’s flexible and easy to read, try learning Python. It’s one of the most popular languages today, and programming in Python is used for everything from web and software development to data science and analytics to quality assurance. Python is a powerful and flexible general-purpose language with many applications. Python 3 is the latest version of the language, and it’s great for new and seasoned developers alike. In fact, it’s one of the most popular programming languages in the world.

About the Trainer

Introduction

• Name: John Smith
• Professional Title: Senior Software Engineer
• Education: Master’s in Computer Science, XYZ University
• Certifications:
  • Python Certified Programmer
  • Oracle Certified Professional (OCP-JD)
• Expertise:
  • Over 15 years of experience in software development and architecture
  • Proficient in full-stack development with expertise in Java and web application development
• Industry Experience:
  • Worked with leading tech companies, contributing to the development of scalable and secure applications
  • Extensive experience in designing and implementing cloud-based solutions for diverse industries
• Training Experience:
  • Conducted numerous training sessions on cloud architecture, software development best practices, and agile methodologies
  • Received positive feedback for clear communication and hands-on, practical training approach
• Skills:
  • Strong communication and presentation skills
  • Ability to convey complex technical concepts in an understandable manner
  • Passionate about fostering a collaborative and engaging learning environment

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About this course

Python’s wide selection of libraries and frameworks makes it a great addition to almost any developer’s skill set. It is used for web development, data science and analytics, machine learning, automation, game development and more.

Syllabus

Module 01: Introduction to Python Programming from A-Z

• Intro To Python Section Overview
• What is Python Programming
• Who is This Course For
• Python Programming Marketplace
• Python Job Opportunities
• How To Land a Python Job Without a Degree
• Python Programmer Job Roles
• Python from A-Z Course Structure

Module 02: Getting Familiar with Python

• Getting Familiar with Python Section Overview
• Installing Python on Windows
• Anaconda and Jupyter Notebooks Part 1
• Anaconda and Jupyter Notebooks Part 2
• Comments
• Python Syntax
• Line Structure
• Line Structure Exercise
• Joining Lines
• Multiple Statements on a Single Line
• Indentation

Module 03: Basic Data Types

• Basic Data Types Section Overview
• String Overview
• String Manipulation
• String Indexing
• String Slicing
• Printing
• Python Variables
• Integers and Floats
• Booleans
• Mini Project 1 : Letter Counter

Module 04: Python Operators

• Python Operators Section Overview
• Comparison Operators
• Arithmetic Operators
• Assignment Operators
• Logical Operators
• Identity Operators
• Membership Operators
• Bitwise Operators

Module 05: Advanced Data Types

• Python Advanced Data Types Section Overview
• Sets
• List Overview
• List Slicing and Indexing
• Tuples
• Dictionaries
• When to use each one?
• Compound Data Types

Module 06: Control Flow Part 1

• Control Flow Part 1 Section Overview
• Intro to Control Flow
• Basic Conditional Statements
• More Conditional Statements
• For Loops
• While Loops

Module 07: Control Flow Part 2

• Control Flow Part 2 Section Overview
• Break Statements
• Continue Statements
• Zip Function
• Enumerate Function
• List Comprehension

Module 08: Python Functions

• Python Functions Section Overview
• Intro to Functions
• Python help Function
• Defining Functions
• Variable Scope
• Doc Strings

Module 09: User Input and Error Handling

• User Input and Error Handling Section Overview
• Introduction to error handling
• User Input
• Syntax Errors
• Exceptions
• Handling Exceptions Part 1
• Handling Exceptions Part 2

Module 10: Python Advanced Functions

• Python Advanced Functions Section Overview
• Lambda Functions
• Functions args and kwargs
• Iterators
• Generators and Yield
• Map Function
• Filter Function

Module 11: Python Scripting and Libraries

• Python Scripting and Libraries Section Overview
• What is a script
• What is an IDE
• What is a text editor?
• From Jupyter Notebook to VScode Part 1
• From Jupyter Notebook to VScode Part 2
• Importing Scripts
• Standard Libraries
• Third Party Libraries

Module 12: NumPy

• Accordion Content NumPy Section Overview
• Intro to NumPy
• Why use NumPy?
• NumPy Arrays
• Reshaping, Accessing, and Modifying
• Slicing and Copying
• Inserting, Appending, and Deleting
• Array Logical Indexing
• Broadcasting

Module 13: Pandas

• Intro to Pandas
• Pandas Series
• Pandas Series Manipulation
• Pandas DataFrame
• Pandas DataFrame Manipulation
• Dealing with Missing Values

Module 14: Introduction to OOP

• Functional vs OOP
• OOP Key Definitions
• Create your First Class
• How to Create and Use Objects
• How to Modify Attributes

Module 15: Advanced OOP

• Python Decorators
• Property Decorator
• Class Method Decorator
• Static Methods
• Inheritance from A to Z

Module 16: Starting a Career in Python

• Python Career Section Overview
• Getting Started with Freelancing
• Building A Brand
• Personal Branding
• Importance of Having Website/Blog
• Do’s and Don’ts of Networking
• Top Freelance Websites
• Creating A Python Developer Resume

Sounds Intresting?