Complete Python Programming

Python is a dynamically semantic, interpreted, object-oriented, high-level programming language. Its high-level built-in data structures make it ideal for fast application development and as a scripting or glue language for connecting existing components. Python's concise, easy-to-learn syntax prioritizes readability, which lowers software maintenance costs. The edit-test-debug cycle is really quick because no compilation is required. A defect or incorrect input will never trigger a segmentation fault in a Python application, so debugging them is simple. Python is widely used for web and software development, task automation, data analysis, and data visualization. Due to its relative ease of learning, Python has been used by many non-programmers, such as accountants and scientists, for a variety of common tasks, such as arranging finances.

By completing this Complete Python Programming, you will gain more knowledge along with practical tips and advice that will help you learn every aspect of the Learn Python Programming from A-Z Course. This Learn Python Programming from A-Z course gives you the courage to pursue a career as a Python programmer or in careers related to Python programming.

This Complete Python Programming is designed with many relevant video classes, PDFs, and exercises. So, after completing this Complete Python Programming, you will be completely ready with all the requirements to be a web developer in today’s job market.

You will have the best guidelines given by our expert trainers who are experienced in Python programming. Under the supervision of these trainers, along with the provided video classes and PDFs, you can unleash your Python programming skills to the top and have a strong position in the job market.

What will you learn from this course:

• Circuit design: What you need to know
• Arduino real-time plotting with Python: Tailoring your approach to maximize impact
• Mastering Arduino coding

Program content:

• Section 1: Introduction to Complete Python Programming

• 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 w/o a Degree

• Python Programmer Job Roles

• Section 2: Getting Familiar with Python

• Getting Familiar with Python Overview

• Installing Python on Windows

• Anaconda and Jupyter Notebooks Part 1

• Anaconda and Jupyter Notebooks Part 2

• Python Syntax

• Python Line Structure

• Line Structure Exercise

• Python Comments

• Joining Lines in Python

• Working with Multiple Statements on a Single Line

• Indentation

• Section 3: Python Basic Data Types

• Python Basic Data Types Overview

• Python Variables

• Integers and Floats

• String Overview

• String Manipulation

• String Indexing

• String Slicing

• Working with Boolean

• Printing Function

• Mini Project - Letter Counter

• Section 4: Python Operators

• Python Operators Overview

• Arithmetic Operators

• Assignment Operators

• Comparison Operators

• Logical Operators

• Identity Operators

• Membership Operators

• Bitwise Operators

• Section 5: Python Advanced Data Types

• Python Advanced Data Types Overview

• Python Lists

• List Slicing and Indexing

• Python Tuples

• Python Sets

• Python Dictionaries

• When To Use Each One?

• Compound Data Types

• Section 6: Python Control Flow Part 1

• Python Control Flow Part 1 Overview

• Intro To Control Flow

• More Conditional Statements

• For Loops

• While Loops

• Section 7: Python Control Flow Part 2

• Python Control Flow Part 2 Overview

• Break Statements

• Continue Statements

• Zip Function

• Enumerate Function

• List Comprehension

• Section 8: Python Functions

• Python Function Overview

• Intro To Functions

• Python Help Functions

• Defining Functions

• Variable Scope

• Doc Strings

• Section 9: User Input and Error Handling

• User Input and Error Handling Overview

• Intro To Error Handling

• User Input

• Syntax Errors

• Exceptions

• Handling Exceptions Part 1

• Handling Exceptions Part 2

• Section 10: Python Advanced Functions

• Python Advanced Function Overview

• Lambda Functions

• Functions args and kwargs

• Python Iterators

• Generators and Yield

• Map Function

• Filter Function

• Section 11: Python Scripting and Libraries

• Python Scripting and Libraries 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

• Section 12: NumPy

• NumPy Overview

• Intro To NumPy

• Why Use NumPy

• NumPy Arrays

• Reshaping, Accessing, and Modifying

• Slicing and Copying

• Inserting, Appending, and Deleting

• Array Logical Indexing

• Broadcasting

• Section 13: Pandas

• Intro To Pandas

• Pandas Series

• Pandas Series Manipulation

• Pandas DataFrame

• Pandas DataFrame Manipulation

• Dealing with Missing Values

• Section 14: Intro To OOP

• Functional vs OOP

• OOP Key Definitions

• Create Your First Class

• How to Create and Use Objects

• How To Modify Attributes

• Section 15: Advanced OOP

• Python Decorators

• Property Decorator

• Class Method Decorator

• Static Methods

• Inheritance from A-Z

• Section 16: Starting a Career in Python

• Python Career Overview

• Getting Started with Freelancing

• Building a Brand

• Personal Branding

• Importance of Having a Website/Blog

• Networking

• Top Freelance Websites

• Creating a Python Developer Resume

Blackboard Learning is an online learning platform by which students from any corner of the world can learn his/her desired course. Using online learning, we assist students in realizing their full potential and advancing their careers. Today, our goal is to be the world's leading provider of online learning experiences with a global impact. By leveraging online learning, we assist students in preparing for bright futures in world-changing jobs. We provide a wide range of categories including Accounting & IT, Programming, Creative, and more. Our courses are designed to stretch students intellectually through state-of-the-art online learning.

• For people looking to progress their career into a Python programmer.
• For those who want to become web developers, as well as looking to further develop their skills and knowledge.
• People who want to perform better in Python-related careers.
• Those who are passionate about python related skills.
• Learners who desire to be more efficient in Python programming.

No prior knowledge or experience required

• Circuit designing
• Lambda functions
• Vectorizing and cosine similarity
• Data visualisation

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