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Master Python – From beginner to professional

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Master Python – From beginner to professional, available at $79.99, has an average rating of 4.5, with 211 lectures, 17 quizzes, based on 76 reviews, and has 531 subscribers.

You will learn about You will be able to use Python to automate and solve problems you face in your own work or personal projects Learn how to work with the Numbers datatype Learn how to work with the String datatype including common String methods Learn how to work with the List data structure including common List methods Learn how to work with the Dictionary data structure including common Dictionary methods Learn how to work with the Tuple data structure including common Tuple methods Learn how to work with the Set data structure including common Set methods Learn about comparison operators in control flow Learn how to create conditional statements using if, elif, and else statements Learn how to use for loops Learn how to use while loops (including the break, continue and pass keywords) Learn how to utilise nested loops Learn how to use List comprehensions Learn how to use Dictionary comprehensions Learn how to use functions in Python Learn how to create your own functions in Python Learn how to use parameters and arguments in functions Learn about *args and **kwargs Learn how to use lambda expressions Learn how to use the Map and Filter functions Learn about scope in Python Learn how to accept and validate user input Learn about OOP (Object Oriented Programming) Learn how to create Python classes Learn how to create Class attributes Learn how to create Class methods Learn about Python inheritance and polymorphism Learn how to use Special Methods Learn how to use modules and packages Learn how to create your own modules and packages Learn how to address Python errors and incorporate exceptions handling Learn about Python decorators Learn about Python generators Learn how to use Web Scraping capabilities using Python with step by step code along Learn how to create Graphical User Interfaces using the Tkinter library Learn how to create dashboards using Plotly and Dash Learn how to work with different file formats such as CSV, PDF and databases Learn about the Collections module Learn how to use Regular Expressions (regex) Learn how to time your code in Python Apply your learnings in 10+ projects! This course is ideal for individuals who are This course is for anyone who wants to learn the Python programming language or This course is for anyone who wants to build their own technical solutions to solve real-world problems or This course is designed for anyone who wants to automate manually intensive tasks or This course is designed for any data enthusiast who wants to get more out of their data or This course is for anyone who wants to learn Python best practices or This course is for anyone who wants to improve their programming capabilities or This course is for any keen data scientist who wants to leverage Python for data analytics or This course is for anyone who wants to improve their data literacy or This course is for anyone who wants to open up job opportunities that involve programming solutions using Python It is particularly useful for This course is for anyone who wants to learn the Python programming language or This course is for anyone who wants to build their own technical solutions to solve real-world problems or This course is designed for anyone who wants to automate manually intensive tasks or This course is designed for any data enthusiast who wants to get more out of their data or This course is for anyone who wants to learn Python best practices or This course is for anyone who wants to improve their programming capabilities or This course is for any keen data scientist who wants to leverage Python for data analytics or This course is for anyone who wants to improve their data literacy or This course is for anyone who wants to open up job opportunities that involve programming solutions using Python.

Enroll now: Master Python – From beginner to professional

Summary

Title: Master Python – From beginner to professional

Price: $79.99

Average Rating: 4.5

Number of Lectures: 211

Number of Quizzes: 17

Number of Published Lectures: 211

Number of Published Quizzes: 17

Number of Curriculum Items: 228

Number of Published Curriculum Objects: 228

Original Price: £54.99

Quality Status: approved

Status: Live

What You Will Learn

  • You will be able to use Python to automate and solve problems you face in your own work or personal projects
  • Learn how to work with the Numbers datatype
  • Learn how to work with the String datatype including common String methods
  • Learn how to work with the List data structure including common List methods
  • Learn how to work with the Dictionary data structure including common Dictionary methods
  • Learn how to work with the Tuple data structure including common Tuple methods
  • Learn how to work with the Set data structure including common Set methods
  • Learn about comparison operators in control flow
  • Learn how to create conditional statements using if, elif, and else statements
  • Learn how to use for loops
  • Learn how to use while loops (including the break, continue and pass keywords)
  • Learn how to utilise nested loops
  • Learn how to use List comprehensions
  • Learn how to use Dictionary comprehensions
  • Learn how to use functions in Python
  • Learn how to create your own functions in Python
  • Learn how to use parameters and arguments in functions
  • Learn about *args and **kwargs
  • Learn how to use lambda expressions
  • Learn how to use the Map and Filter functions
  • Learn about scope in Python
  • Learn how to accept and validate user input
  • Learn about OOP (Object Oriented Programming)
  • Learn how to create Python classes
  • Learn how to create Class attributes
  • Learn how to create Class methods
  • Learn about Python inheritance and polymorphism
  • Learn how to use Special Methods
  • Learn how to use modules and packages
  • Learn how to create your own modules and packages
  • Learn how to address Python errors and incorporate exceptions handling
  • Learn about Python decorators
  • Learn about Python generators
  • Learn how to use Web Scraping capabilities using Python with step by step code along
  • Learn how to create Graphical User Interfaces using the Tkinter library
  • Learn how to create dashboards using Plotly and Dash
  • Learn how to work with different file formats such as CSV, PDF and databases
  • Learn about the Collections module
  • Learn how to use Regular Expressions (regex)
  • Learn how to time your code in Python
  • Apply your learnings in 10+ projects!

Who Should Attend

  • This course is for anyone who wants to learn the Python programming language
  • This course is for anyone who wants to build their own technical solutions to solve real-world problems
  • This course is designed for anyone who wants to automate manually intensive tasks
  • This course is designed for any data enthusiast who wants to get more out of their data
  • This course is for anyone who wants to learn Python best practices
  • This course is for anyone who wants to improve their programming capabilities
  • This course is for any keen data scientist who wants to leverage Python for data analytics
  • This course is for anyone who wants to improve their data literacy
  • This course is for anyone who wants to open up job opportunities that involve programming solutions using Python

Target Audiences

  • This course is for anyone who wants to learn the Python programming language
  • This course is for anyone who wants to build their own technical solutions to solve real-world problems
  • This course is designed for anyone who wants to automate manually intensive tasks
  • This course is designed for any data enthusiast who wants to get more out of their data
  • This course is for anyone who wants to learn Python best practices
  • This course is for anyone who wants to improve their programming capabilities
  • This course is for any keen data scientist who wants to leverage Python for data analytics
  • This course is for anyone who wants to improve their data literacy
  • This course is for anyone who wants to open up job opportunities that involve programming solutions using Python

Welcome to ‘Master Python – From beginner to professional’ course! If you’re looking to dive into Python, you’re in the right place. This Udemy course is crafted with precision to take you from Python novice to a confident user, ready to impress on your CV.

Featuring over 200 high-quality videos spanning 26+ hours, this course covers everything from Python installation to advanced topics like web scraping and GUIs. Practical quizzes, coding exercises, and real-world projects ensure you’re not just learning but applying your Python skills effectively.

Worried about commitment? Don’t be! The course comes with a 30-day money-back guarantee. No questions asked. Your satisfaction is our priority.

In this Python journey, we cover crucial topics, including installation, command line basics, Jupyter Notebook, and more. From variables to control flow, OOP to web scraping, we’ve got it all.

Taught by an instructor with over 14 years of practical experience in creating technical solutions, this course goes beyond theory. Learn from real-world insights that can add significant value to your personal growth and your future workplace.

Python evolves, and so does this course! Stay updated with the latest developments, ensuring you’re always at the forefront of Python proficiency.

Experience engaging and easy-to-follow tutorials, coupled with quizzes, tips, and tricks to enhance your Python journey. Each video targets specific elements, making it easy to tackle topics in isolation or as part of a comprehensive learning journey.

In 2024, Python is a must-have skill on your CV, especially in fields like AI/ML and data analysis. This course empowers you to create technical solutions, making you stand out in the rapidly advancing industry.

With a focus on precise delivery, this course offers a unique learning experience. From fundamentals to advanced features, you get high-quality content tested with quizzes, tips, and recommended articles.

I’m here to make learning Python enjoyable for you! Whether you’re a complete beginner or seeking a refresher on advanced topics, this course is designed for you. Sign up, and let’s make learning Python a rewarding journey together!

Don’t wait! Enroll today, kickstart your Python journey, and I look forward to seeing you inside the course. Let’s make 2024 your year of mastering Python! Feel free to reach out if you have any questions. Happy coding!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to The Python Bootcamp!

Lecture 2: What is Python – Our first Program!

Lecture 3: What you can expect in this course…

Chapter 2: Installation & Set Up

Lecture 1: Installing Python

Lecture 2: Command Line Basics

Lecture 3: Jupyter Notebook Introduction

Lecture 4: Jupyter Notebook Basics

Chapter 3: Things to know before we get started!

Lecture 1: Comments

Lecture 2: The Print Statement

Lecture 3: Variables

Lecture 4: Constants

Lecture 5: Python Keywords

Lecture 6: Intro to Data Types

Chapter 4: Numbers

Lecture 1: Numbers Part 1

Lecture 2: Numbers Part 2

Lecture 3: An interesting thought… Python Decimal

Lecture 4: Numbers from libraries

Chapter 5: Strings

Lecture 1: What is a String?

Lecture 2: Accessing elements of a String – Indexing

Lecture 3: Accessing multiple elements of a String – Slicing

Lecture 4: How to change or delete a String

Lecture 5: String concatenation

Lecture 6: String Membership

Lecture 7: String Methods

Lecture 8: The format() method

Chapter 6: Lists

Lecture 1: What are Lists?

Lecture 2: How to access list elements

Lecture 3: List Slicing

Lecture 4: List Methods Introduction

Lecture 5: Sorting Lists

Lecture 6: Changing List elements

Lecture 7: Adding elements to Lists

Lecture 8: Removing elements from Lists

Lecture 9: Deleting List elements

Lecture 10: Other useful List methods

Lecture 11: List Membership

Lecture 12: EXTRA – Converting to and from lists with .split() and .join()

Lecture 13: List Summary

Chapter 7: Dictionaries

Lecture 1: What are Dictionaries?

Lecture 2: Creating a Dictionary

Lecture 3: Accessing elements from a Dictionary

Lecture 4: Changing & Adding Dictionary elements

Lecture 5: Removing elements from Dictionaries

Lecture 6: Dictionary Methods

Lecture 7: Dictionary Membership & Built-in functions

Chapter 8: Tuples

Lecture 1: What is a Tuple?

Lecture 2: Creating a Tuple (inc. Tuple Packing)

Lecture 3: Accessing Tuple elements (Indexing & Slicing)

Lecture 4: Changing a Tuple

Lecture 5: Deleting a Tuple

Lecture 6: Tuple Methods & Operations

Lecture 7: Tuple Unpacking

Lecture 8: Tuples v Lists

Chapter 9: Sets

Lecture 1: What is a Set?

Lecture 2: Creating a Set

Lecture 3: Modifying a Set

Lecture 4: Removing elements from a Set

Lecture 5: Union

Lecture 6: Intersection

Lecture 7: Difference

Lecture 8: Symmetric Difference

Lecture 9: Useful built-in functions with Sets

Lecture 10: The Frozen Set

Chapter 10: Control Flow

Lecture 1: Control Flow Overview

Lecture 2: Understanding Booleans

Lecture 3: Comparison Operators

Lecture 4: IF statements

Lecture 5: The importance of indentation

Lecture 6: ELIF and ELSE

Chapter 11: Loops

Lecture 1: Understand Loops with FizzBuzz!

Lecture 2: FOR Loops

Lecture 3: FizzBuzz with FOR loops (Overview)

Lecture 4: FizzBuzz with FOR loops (Solution)

Lecture 5: WHILE Loops

Lecture 6: FizzBuzz with WHILE loops

Lecture 7: Nested Loops

Lecture 8: The break, continue and pass keywords

Lecture 9: Creating loops with the ELSE keyword

Lecture 10: enumerate

Lecture 11: List Comprehensions

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 3 votes
  • 4 stars: 18 votes
  • 5 stars: 55 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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