Complete Python 3 Masterclass Journey
What you’ll 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.
A computer with internet access.
Permission to download files and Python on to your computer
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!
Section 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)
Section 2: Recruitment
Lecture 4 Welcome to the Institute.
Lecture 5 Introduction to Recruitment Bootcamp
Lecture 6 Command Line Basics
Lecture 7 Python Installation with Anaconda
Lecture 8 Running Python Code
Section 3: Recruitment Trials Bootcamp – Python Basics
Lecture 9 Overview of the Recruitment Trials Bootcamp
Lecture 10 Python Numbers
Lecture 11 Python Strings
Lecture 12 Python Lists
Lecture 13 Python Dictionaries
Lecture 14 Tuples
Lecture 15 Python Sets
Lecture 16 Python Booleans
Lecture 17 Working with Files with Python
Lecture 18 Conclusion of Working with Python Basics
Section 4: Field Readiness Exam I
Lecture 19 Introduction to First FRE
Lecture 20 Overview of Field Readiness Exam I
Lecture 21 Solution Walkthrough of Field Readiness Exam I
Section 5: Recruitment Trials Bootcamp – Working with Python
Lecture 22 Introduction to Part Two of Recruitment Trials
Lecture 23 Control Flow Basics if elif else
Lecture 24 While Loops
Lecture 25 For Loops
Lecture 26 Useful Python Operators
Lecture 27 List Comprehensions
Lecture 28 Conclusion of Working with Python
Section 6: Field Readiness Exam II
Lecture 29 Introduction to Second Field Readiness Exam
Lecture 30 Overview Field Readiness Exam II
Lecture 31 Quick note on FRE 2 Solutions
Lecture 32 Field Readiness Exam II Solutions
Lecture 33 Congratulations on your Second FRE!
Section 7: Recruitment Trials Bootcamp – Part Three
Lecture 34 Introduction to Part Three of Recruitment Trials
Lecture 35 Python Functions
Lecture 36 Function Tasks
Lecture 37 Function Task Solutions
Lecture 38 Nested Statements and Scope
Lecture 39 Lambda Expressions, Map, and Filter
Lecture 40 Conclusion of Recruitment Bootcamp Part 3
Section 8: Hacking Incident
Lecture 41 Incoming Message from Director Hopper
Lecture 42 Hacking Incident Overview
Lecture 43 Hacking Incident Debriefing
Lecture 44 Message from Director Hopper
Section 9: Final Recruitment Topics
Lecture 45 Overview of Final Recruitment Topics
Lecture 46 Object Oriented Programming Introduction
Lecture 47 Object Oriented Programming – Part Two
Lecture 48 Object Oriented Programming – Part Three
Lecture 49 Object Oriented Programming – Exercises Overview
Lecture 50 Object Oriented Programming – Exercises Solutions
Lecture 51 Error Handling and Exceptions
Lecture 52 Debugging and Datetime
Lecture 53 Modules and Packages
Lecture 54 __name__ and “__main__”
Lecture 55 Conclusion Final Recruitment Topics
Section 10: Final Field Readiness Exam
Lecture 56 Introduction to Final FRE – Message from Director Hopper
Lecture 57 Overview of Final Field Readiness Exam
Lecture 58 Solution Overview of Final Field Readiness Exam
Lecture 59 Incoming Message – Welcome Agent!
Section 11: Operation Rainbow Rogues
Lecture 60 Overview of Operation Rainbow Rogues
Section 12: RED Mission – Web Scraping
Lecture 61 Introduction to Red Mission
Lecture 62 Note about Installing Beautiful Soup Library
Lecture 63 Webscraping with Python – Requests and BeautifulSoup
Lecture 64 Web Scraping with Python – Part One
Lecture 65 Web Scraping with Python – Part Two
Lecture 66 RED Mission Overview
Lecture 67 RED Mission Debrief
Lecture 68 Conclusion of Red Mission
Section 13: Orange Mission – Regular Expressions and Reading Files
Lecture 69 Introduction to Orange Mission
Lecture 70 Regular Expressions – Part One
Lecture 71 Regular Expressions – Part Two
Lecture 72 Regular Expressions – Part Three
Lecture 73 Reading and Writing to Files with OS
Lecture 74 Zip Files with Python
Lecture 75 Orange Mission Overview
Lecture 76 Orange Mission Debrief
Lecture 77 Conclusion of Orange Mission
Section 14: Yellow Mission – Working with CSV Files
Lecture 78 Introduction to Yellow Mission
Lecture 79 Working with CSVs with Python
Lecture 80 Working with PDFs with Python
Lecture 81 Yellow Mission Overview
Lecture 82 Yellow Mission Debrief
Lecture 83 Conclusion of Yellow Mission
Section 15: Green Mission – Sending Emails with Python
Lecture 84 Introduction to Green Mission
Lecture 85 Sending Emails with Python
Lecture 86 Checking Received Emails with Python
Lecture 87 Green Mission Overview
Lecture 88 Green Mission Debrief
Lecture 89 Conclusion to Green Mission
Section 16: Blue Mission – Working with Images with Python
Lecture 90 Introduction to Blue Mission
Lecture 91 Working with Images using Python
Lecture 92 Blue Mission Overview
Lecture 93 Blue Mission Debrief
Lecture 94 Conclusion of Blue Mission
Section 17: Indigo Mission – Decryption with Python
Lecture 95 Introduction to Indigo Mission
Lecture 96 Introduction to Encryption and Hashing
Lecture 97 Encryption and Hashing with Python
Lecture 98 Indigo Mission Overview
Lecture 99 Indigo Mission Debrief
Lecture 100 Conclusion of Indigo Mission
Section 18: Violet Mission – Mapping Out Locations with Python
Lecture 101 Introduction to Violet Mission
Lecture 102 Notes on Google Maps API and Folium
Lecture 103 Geographical Plotting in Python
Lecture 104 Violet Mission Overview
Lecture 105 Violet Mission Debrief
Section 19: Final Debrief
Lecture 106 Conclusion of Violet Mission
Lecture 107 Final Debriefing
Section 20: BONUS SECTION: THANK YOU!
Lecture 108 Bonus Lecture:
Anyone interested in learning how to program with Python!
Udemy | English | 10h 43m | 4.14 GB
Created by: Jose Portilla