Complete Python 3 Masterclass Journey
Complete Python 3 Masterclass Journey, available at $89.99, has an average rating of 4.45, with 108 lectures, based on 3593 reviews, and has 22302 subscribers.
You will learn about Create your own Python scripts to automate tasks. Read CSV Files with Python. Be able to work with PDF files in Python. Manipulate images with Python. Learn how to create functions with Python. Use Object Oriented Programming with Python. Send and receive emails automatically with Python. Decryption , Encryption, and Hashing with Python. Plot geographical points on Google Maps with Python. Read files and apply regular expressions with Python. Scrape websites for information using Python. This course is ideal for individuals who are Anyone interested in learning how to program with Python! It is particularly useful for Anyone interested in learning how to program with Python!.
Enroll now: Complete Python 3 Masterclass Journey
Summary
Title: Complete Python 3 Masterclass Journey
Price: $89.99
Average Rating: 4.45
Number of Lectures: 108
Number of Published Lectures: 108
Number of Curriculum Items: 108
Number of Published Curriculum Objects: 108
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Create your own Python scripts to automate tasks.
- Read CSV Files with Python.
- Be able to work with PDF files in Python.
- Manipulate images with Python.
- Learn how to create functions with Python.
- Use Object Oriented Programming with Python.
- Send and receive emails automatically with Python.
- Decryption , Encryption, and Hashing with Python.
- Plot geographical points on Google Maps with Python.
- Read files and apply regular expressions with Python.
- Scrape websites for information using Python.
Who Should Attend
- Anyone interested in learning how to program with Python!
Target Audiences
- Anyone interested in learning how to program with Python!
Welcome to the Complete Python Masterclass Journey!
This course is designed to take you from a complete beginner in programming all the way to becoming an effective programmer that can use Python to solve real tasks! I’m Jose Portilla and I am the most popular Python instructor on the Udemy platform. I’ve taught Python programming at Fortune 500 companies and I’m very excited to bring the same quality of material to Udemy! Python is used by some of the world’s largest companies to accomplish all kinds of tasks.
This course is also completely different than any other course on Udemy, it incorporates a narrative story that helps engage students and also provides context to the different tasks you have to accomplish. We utilize project based learning to effectively teach Python and give you the skills to put Python on your resume. We have numerous projects and tasks for you to practice what you are learning.
In addition to this we have Question and Answer forums where Teaching Assistants and myself are present to help answer any questions you may have, we also have a chat channel where you can talk to other students to team up on your own projects!
We will cover a lot of topics in this course! Including:
- Basic Python Data Types such as numbers, variables, lists, dictionaries, tuples, sets, and more.
- Key Control Flow– This is the logic that helps run your code, such as if, elif, and else statements.
- Loops– We’ll show you how to become an expert user of for loops and while loops so you can effectively program.
- Functions– You will learn how to create clean, reusable functions that help automate tasks that you repeat.
- Object Oriented Programming (OOP) – We will explain OOP in a clear and steady way, helping you master one of Python’s most powerful features.
- Web Scraping– Learn to use the BeautifulSoup and Requests libraries to perform web scraping.
- CSV Files– You’ll be able to use Python’s built in csv library to work with csv data with Python.
- PDF Files – Learn about the PyPDF2 library that allows you to read PDF files pro grammatically.
- Zip Files – See how Python can zip files and extract information from already compressed zip files.
- OS Module – Discover how to perform operating system level commands with Python’s os module.
- Images – You will learn how to edit and resize images with Python.
- Decryption and Encryption – See how to use the cryptography library with Python to encode and decode encrypted messages.
- Geographical Mapping – We’ll show you how to use Python in conjunction with the Google Map’s API to plot information on a map!
- and so much more!
All of this content also comes with a 30-day money back guarantee, so you can try out the course risk free for a full 30 days.
I’ll see you inside the course!
Jose Portilla
Course Curriculum
Chapter 1: Introduction
Lecture 1: Personal Welcome to the Course
Lecture 2: Course Overview DO NOT SKIP THIS LECTURE!
Lecture 3: Course Frequently Asked Questions (FAQs)
Chapter 2: Recruitment
Lecture 1: Welcome to the Institute.
Lecture 2: Introduction to Recruitment Bootcamp
Lecture 3: Command Line Basics
Lecture 4: Python Installation with Anaconda
Lecture 5: Running Python Code
Chapter 3: Recruitment Trials Bootcamp – Python Basics
Lecture 1: Overview of the Recruitment Trials Bootcamp
Lecture 2: Python Numbers
Lecture 3: Python Strings
Lecture 4: Python Lists
Lecture 5: Python Dictionaries
Lecture 6: Tuples
Lecture 7: Python Sets
Lecture 8: Python Booleans
Lecture 9: Working with Files with Python
Lecture 10: Conclusion of Working with Python Basics
Chapter 4: Field Readiness Exam I
Lecture 1: Introduction to First FRE
Lecture 2: Overview of Field Readiness Exam I
Lecture 3: Solution Walkthrough of Field Readiness Exam I
Chapter 5: Recruitment Trials Bootcamp – Working with Python
Lecture 1: Introduction to Part Two of Recruitment Trials
Lecture 2: Control Flow Basics if elif else
Lecture 3: While Loops
Lecture 4: For Loops
Lecture 5: Useful Python Operators
Lecture 6: List Comprehensions
Lecture 7: Conclusion of Working with Python
Chapter 6: Field Readiness Exam II
Lecture 1: Introduction to Second Field Readiness Exam
Lecture 2: Overview Field Readiness Exam II
Lecture 3: Quick note on FRE 2 Solutions
Lecture 4: Field Readiness Exam II Solutions
Lecture 5: Congratulations on your Second FRE!
Chapter 7: Recruitment Trials Bootcamp – Part Three
Lecture 1: Introduction to Part Three of Recruitment Trials
Lecture 2: Python Functions
Lecture 3: Function Tasks
Lecture 4: Function Task Solutions
Lecture 5: Nested Statements and Scope
Lecture 6: Lambda Expressions, Map, and Filter
Lecture 7: Conclusion of Recruitment Bootcamp Part 3
Chapter 8: Hacking Incident
Lecture 1: Incoming Message from Director Hopper
Lecture 2: Hacking Incident Overview
Lecture 3: Hacking Incident Debriefing
Lecture 4: Message from Director Hopper
Chapter 9: Final Recruitment Topics
Lecture 1: Overview of Final Recruitment Topics
Lecture 2: Object Oriented Programming Introduction
Lecture 3: Object Oriented Programming – Part Two
Lecture 4: Object Oriented Programming – Part Three
Lecture 5: Object Oriented Programming – Exercises Overview
Lecture 6: Object Oriented Programming – Exercises Solutions
Lecture 7: Error Handling and Exceptions
Lecture 8: Debugging and Datetime
Lecture 9: Modules and Packages
Lecture 10: __name__ and "__main__"
Lecture 11: Conclusion Final Recruitment Topics
Chapter 10: Final Field Readiness Exam
Lecture 1: Introduction to Final FRE – Message from Director Hopper
Lecture 2: Overview of Final Field Readiness Exam
Lecture 3: Solution Overview of Final Field Readiness Exam
Lecture 4: Incoming Message – Welcome Agent!
Chapter 11: Operation Rainbow Rogues
Lecture 1: Overview of Operation Rainbow Rogues
Chapter 12: RED Mission – Web Scraping
Lecture 1: Introduction to Red Mission
Lecture 2: Note about Installing Beautiful Soup Library
Lecture 3: Webscraping with Python – Requests and BeautifulSoup
Lecture 4: Web Scraping with Python – Part One
Lecture 5: Web Scraping with Python – Part Two
Lecture 6: RED Mission Overview
Lecture 7: RED Mission Debrief
Lecture 8: Conclusion of Red Mission
Chapter 13: Orange Mission – Regular Expressions and Reading Files
Lecture 1: Introduction to Orange Mission
Lecture 2: Regular Expressions – Part One
Lecture 3: Regular Expressions – Part Two
Lecture 4: Regular Expressions – Part Three
Lecture 5: Reading and Writing to Files with OS
Lecture 6: Zip Files with Python
Lecture 7: Orange Mission Overview
Lecture 8: Orange Mission Debrief
Lecture 9: Conclusion of Orange Mission
Chapter 14: Yellow Mission – Working with CSV Files
Lecture 1: Introduction to Yellow Mission
Lecture 2: Working with CSVs with Python
Lecture 3: Working with PDFs with Python
Lecture 4: Yellow Mission Overview
Lecture 5: Yellow Mission Debrief
Lecture 6: Conclusion of Yellow Mission
Chapter 15: Green Mission – Sending Emails with Python
Lecture 1: Introduction to Green Mission
Lecture 2: Sending Emails with Python
Instructors
-
Jose Portilla
Head of Data Science at Pierian Training -
Pierian Training
Data Science and Machine Learning Training
Rating Distribution
- 1 stars: 31 votes
- 2 stars: 41 votes
- 3 stars: 280 votes
- 4 stars: 1251 votes
- 5 stars: 1990 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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