Complete Python Developer In 2023: Zero To Mastery

Complete Python Developer In 2023: Zero To Mastery


ดาวน์โหลดคอร์สเรียน Complete Python Developer In 2023: Zero To Mastery ฟรี

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Last updated 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.1 GB | Duration: 30h 52m

How to become a Python 3 Developer and get hired! Build 12+ projects, learn Web Development, Machine Learning + more!

What you’ll learn
Become a professional Python Developer and get hired
Master modern Python 3.11(latest) fundamentals as well as advanced topics
Learn Object Oriented Programming
Learn Function Programming
Build 12+ real world Python projects you can show off
Learn how to use Python in Web Development
Learn Machine Learning with Python
Build a Machine Learning Model
Learn Data Science – Analyze and Visualize Data
Build a professional Portfolio Website
Use Python to process: Images, CSVs, PDFs, and other Files
Build a Web Scraper with Python and BeautifulSoup
Use Python to send Emails and SMS
Use Python to build a Twitter bot
Learn to Test, Debug and Handle Errors in your Python programs
Learn best practices to write clean, performant, and bug free code
Learn to use Selenium and Python in Automation
Set up a professional workspace with Jupyter Notebooks, PyCharm, VS Code + more

A computer (Windows/Mac/Linux). That’s it!
No prior knowledge of Python is required.
No previous programming experience is needed.
Prepare to fall in love with Python and programming!

Just updated for 2023! It’s time to become a modern and complete Python developer! Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies.Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore. This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away)!The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world. The topics covered in this course are:- Programming Fundamentals- Python Basics- Python Fundamentals- Data Structures- Object Oriented Programming with Python- Functional Programming with Python- Lambdas- Decorators- Generators- Testing in Python- Debugging- Error Handling- Regular Expressions- Comprehensions- Modules- Virtual Environments- Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more)- File Processing: Image, CSV, PDFs, Text + more- Web Development with Python- Machine Learning with Python- Data Science with Python- Automation with Python and Selenium- Scripting with Python- Web Scraping with Python and BeautifulSoup- Image Detection- Data Visualizations- Kaggle, Pandas, NumPy, scikit-learn- Email and SMS with Python- Working with APIs (Twitter Bot, Password Checker, Translator)By the end of this course, you will be a complete Python developer that can get hired at large companies. We are going to use Python to work with Email, Text Messages, CSV files, PDF files, Image Files, Data Visualizations, build our own machine learning model and perform Image detection. We are going to build a web scraper for HackerNews, build a Twitter bot, build the most secure password checker and we will also build some automation tools using Selenium. But the best part? We will build an actual portfolio website using Python that your future employer and customers can contact you at. By the end, you will have a stack of projects you have built that you can show off to others.Here’s the truth: Most courses teach you Python and do just that. They show you how to get started. But the thing is you don’t know where to go from there or how to build your own projects. Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired.Taught By:Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc… He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don’t know where to start when learning a complex subject matter, or even worse, most people don’t have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student’s valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei’s courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!

Section 1: Introduction

Lecture 1 Course Outline

Lecture 2 Join Our Online Classroom!

Lecture 3 Exercise: Meet Your Classmates and Instructor

Lecture 4 ZTM Resources

Section 2: Python Introduction

Lecture 5 What Is A Programming Language

Lecture 6 Python Interpreter

Lecture 7 How To Run Python Code

Lecture 8 Note: Jumping To Developer Environment

Lecture 9 Our First Python Program

Lecture 10 Monthly Coding Challenges, Free Resources and Guides

Lecture 11 Latest Version Of Python

Lecture 12 Python 2 vs Python 3

Lecture 13 Why So Many Languages?

Lecture 14 Exercise: How Does Python Work?

Lecture 15 ZTM Python Cheat Sheet

Lecture 16 Python Developer Monthly

Lecture 17 Endorsements On LinkedIN

Section 3: Python Basics

Lecture 18 Learning Python

Lecture 19 Python Data Types

Lecture 20 How To Succeed

Lecture 21 Numbers

Lecture 22 Math Functions


Lecture 24 Operator Precedence

Lecture 25 Exercise: Operator Precedence

Lecture 26 Optional: bin() and complex

Lecture 27 Variables

Lecture 28 Expressions vs Statements

Lecture 29 Augmented Assignment Operator

Lecture 30 Strings

Lecture 31 String Concatenation

Lecture 32 Type Conversion

Lecture 33 Escape Sequences

Lecture 34 Formatted Strings

Lecture 35 String Indexes

Lecture 36 Immutability

Lecture 37 Built-In Functions + Methods

Lecture 38 Booleans

Lecture 39 Exercise: Type Conversion


Lecture 41 Exercise: Password Checker

Lecture 42 Lists

Lecture 43 List Slicing

Lecture 44 Matrix

Lecture 45 List Methods

Lecture 46 List Methods 2

Lecture 47 List Methods 3

Lecture 48 Common List Patterns

Lecture 49 List Unpacking

Lecture 50 None

Lecture 51 Dictionaries


Lecture 53 Dictionary Keys

Lecture 54 Dictionary Methods

Lecture 55 Dictionary Methods 2

Lecture 56 Tuples

Lecture 57 Tuples 2

Lecture 58 Sets

Lecture 59 Sets 2

Section 4: Python Basics II

Lecture 60 Breaking The Flow

Lecture 61 Conditional Logic

Lecture 62 Indentation In Python

Lecture 63 Truthy vs Falsey

Lecture 64 Ternary Operator

Lecture 65 Short Circuiting

Lecture 66 Logical Operators

Lecture 67 Exercise: Logical Operators

Lecture 68 is vs ==

Lecture 69 For Loops

Lecture 70 Iterables

Lecture 71 Exercise: Tricky Counter

Lecture 72 range()

Lecture 73 enumerate()

Lecture 74 While Loops

Lecture 75 While Loops 2

Lecture 76 break, continue, pass

Lecture 77 Our First GUI


Lecture 79 Exercise: Find Duplicates

Lecture 80 Functions

Lecture 81 Parameters and Arguments

Lecture 82 Default Parameters and Keyword Arguments

Lecture 83 return

Lecture 84 Exercise: Tesla

Lecture 85 Methods vs Functions

Lecture 86 Docstrings

Lecture 87 Clean Code

Lecture 88 *args and **kwargs

Lecture 89 Exercise: Functions

Lecture 90 Walrus Operator

Lecture 91 Scope

Lecture 92 Scope Rules

Lecture 93 global Keyword

Lecture 94 nonlocal Keyword

Lecture 95 Why Do We Need Scope?

Lecture 96 Exercise: Imposter Syndrome

Lecture 97 Python Exam: Testing Your Understanding

Section 5: Developer Environment

Lecture 98 MAC – Python Install

Lecture 99 WINDOWS – Python Install

Lecture 100 WINDOWS – Get Terminal

Lecture 101 LINUX – Python Install

Lecture 102 Python Developer Tools

Lecture 103 Sublime Text

Lecture 104 Resources: Customizing Sublime Text 4

Lecture 105 Quick Note: Upcoming Video

Lecture 106 Optional: Terminal Commands

Lecture 107 iTerm Setup

Lecture 108 Using the Command Line/Terminal

Lecture 109 Visual Studio Code

Lecture 110 PyCharm

Lecture 111 Code Formatting – PEP 8

Lecture 112 Quick Note: Jupyter Notebooks

Lecture 113 Jupyter Notebooks

Lecture 114 Section Review

Section 6: Advanced Python: Object Oriented Programming

Lecture 115 Note on Upcoming Sections

Lecture 116 What Is OOP?

Lecture 117 What is OOP? Part 2

Lecture 118 Creating Our Own Objects

Lecture 119 Attributes and Methods

Lecture 120 __init__

Lecture 121 Exercise: Cats Everywhere

Lecture 122 @classmethod and @staticmethod

Lecture 123 Reviewing What We Know So Far


Lecture 125 Encapsulation

Lecture 126 Abstraction

Lecture 127 Private vs Public Variables

Lecture 128 Inheritance

Lecture 129 Inheritance 2

Lecture 130 Polymorphism

Lecture 131 Exercise: Pets Everywhere

Lecture 132 super()

Lecture 133 Object Introspection

Lecture 134 Dunder Methods

Lecture 135 Exercise: Extending List

Lecture 136 Multiple Inheritance

Lecture 137 MRO – Method Resolution Order

Section 7: Advanced Python: Functional Programming

Lecture 138 Functional Programming

Lecture 139 What Is Functional Programming?

Lecture 140 Pure Functions

Lecture 141 map()

Lecture 142 filter()

Lecture 143 zip()

Lecture 144 reduce()

Lecture 145 Exercises: map, filter, zip, reduce

Lecture 146 Lambda Expressions

Lecture 147 Exercise: Lambda Expressions

Lecture 148 List Comprehensions

Lecture 149 Set and Dictionary Comprehension

Lecture 150 Exercise: Comprehensions

Lecture 151 We Still Have More To Go!

Section 8: Advanced Python: Decorators

Lecture 152 Decorators

Lecture 153 Higher Order Functions

Lecture 154 Decorators 2

Lecture 155 Decorators 3

Lecture 156 Why Do We Need Decorators?

Lecture 157 Exercise: @authenticated

Section 9: Advanced Python: Error Handling

Lecture 158 Errors in Python

Lecture 159 Error Handling

Lecture 160 Error Handling 2

Lecture 161 Exercises: Error Handling

Lecture 162 Error Handling 3

Section 10: Advanced Python: Generators

Lecture 163 Generators

Lecture 164 Generators 2

Lecture 165 Generators Performance

Lecture 166 Under The Hood Of Generators

Lecture 167 Exercise: Fibonacci Numbers

Lecture 168 Python Exam: Testing Your Understanding

Lecture 169 100 Python Exercises

Section 11: Modules In Python

Lecture 170 Modules In Python

Lecture 171 Packages In Python

Lecture 172 Different Ways To Import

Lecture 173 __name__

Lecture 174 Python Built-in Modules

Lecture 175 Python Built-in Modules 2

Lecture 176 Exercise: Guessing Game

Lecture 177 Python Package Index

Lecture 178 pip install

Lecture 179 Virtual Environments

Lecture 180 Useful Modules

Lecture 181 Interesting Tidbit: Python Dictionaries

Lecture 182 Useful Modules 2


Section 12: Debugging In Python

Lecture 184 How To Debug Code

Section 13: File I/O

Lecture 185 Working With Files In Python

Lecture 186 Read, Write, Append

Lecture 187 File Paths

Lecture 188 File IO Errors

Lecture 189 Exercise: Translator

Section 14: Regular Expressions

Lecture 190 Regular Expressions

Lecture 191 Regular Expressions 2

Lecture 192 Exercises: Interactive RegEx

Lecture 193 Regular Expressions 3

Lecture 194 Exercise: Password Validation

Lecture 195 Exercise: Password Validation 2

Section 15: Testing In Python

Lecture 196 Testing Introduction

Lecture 197 Unittest

Lecture 198 Writing Unit Tests

Lecture 199 Writing Unit Tests 2

Lecture 200 Exercise: Testing

Section 16: Career Of A Python Developer

Lecture 201 Python Careers

Lecture 202 Endorsements On LinkedIn

Lecture 203 Quick Note: Upcoming Video

Lecture 204 What If I Don’t Have Enough Experience?

Lecture 205 Learning Guideline

Lecture 206 Now What??

Section 17: Scripting with Python

Lecture 207 Section Overview

Lecture 208 What Is Image Processing?


Lecture 210 Images With Python

Lecture 211 Images With Python 2

Lecture 212 Images With Python 3

Lecture 213 Exercise: JPG to PNG Pokedex Converter

Lecture 214 Quick Note: Github

Lecture 215 Solution: JPG to PNG Pokedex Converter

Lecture 216 OpenCV

Lecture 217 Quick Note: Upcoming Lecture

Lecture 218 PDFs With Python

Lecture 219 Exercise: PDF Merger

Lecture 220 Exercise: Watermarker

Lecture 221 Solution: Watermarker

Lecture 222 Sending Emails With Python

Lecture 223 Quick Note: Google Security Updates

Lecture 224 Sending Emails With Python 2

Lecture 225 Sending Emails With Python 3

Lecture 226 Password Checker Project

Lecture 227 How Hackers Work

Lecture 228 Password API

Lecture 229 Quick Note: Upcoming Video

Lecture 230 Optional: Hash Function

Lecture 231 Password Checker

Lecture 232 Password Checker 2

Lecture 233 Password Checker 3

Lecture 234 Password Checker 4

Lecture 235 Quick Note: Twitter API Approval

Lecture 236 Twitter API

Lecture 237 Quick Note: Tweepy API

Lecture 238 Our First Twitter Bot

Lecture 239 Our First Twitter Bot 2

Lecture 240 Our First Twitter Bot 3

Lecture 241 Our First Twitter Bot 4

Lecture 242 SMS With Python

Lecture 243 SMS With Python 2

Lecture 244 SMS With Python 3

Lecture 245 Ntfy Fun

Section 18: Scraping Data with Python

Lecture 246 Web Scraping Introduction

Lecture 247 Web Scraping and APIs

Lecture 248 How Googlebot Works

Lecture 249 Our Hacker News Project

Lecture 250 Requesting Data

Lecture 251 BeautifulSoup Basics

Lecture 252 Quick Note: .storylink to .titleline

Lecture 253 BeautifulSoup Selectors

Lecture 254 Hacker News Project

Lecture 255 Hacker News Project 2

Lecture 256 Hacker News Project 3

Lecture 257 Solution: Hacker News Project 3

Lecture 258 What To Do Next With Scraping?

Section 19: Web Development with Python

Lecture 259 Section Overview

Lecture 260 How Websites Work

Lecture 261 How Websites Work 2

Lecture 262 Building Our First Server

Lecture 263 Setting Up Flask

Lecture 264 Building A Flask Server

Lecture 265 Flask Templates

Lecture 266 Flask Static Files

Lecture 267 Favicon

Lecture 268 Templating Engine

Lecture 269 URL Parameters

Lecture 270 MIME Types

Lecture 271 Files Needed for Next Video

Lecture 272 Building A Portfolio

Lecture 273 FREE HTML Templates

Lecture 274 Building A Portfolio 2

Lecture 275 Building A Portfolio 3

Lecture 276 Building A Portfolio 4

Lecture 277 HTML Forms

Lecture 278 Building A Portfolio 5

Lecture 279 Building A Portfolio 6

Lecture 280 Building A Portfolio 7

Lecture 281 Quick Fix: newline

Lecture 282 Quick Note About Databases

Lecture 283 Upcoming Video

Lecture 284 Optional: How Databases Work

Lecture 285 Building A Portfolio 8

Lecture 286 Building A Portfolio 9

Lecture 287 Extra Exercise: Customize Your Portfolio

Section 20: Automation/Testing

Lecture 288 Section Overview

Lecture 289 Selenium Introduction

Lecture 290 Quick Note: Selenium Version

Lecture 291 Quick Update: Selenium 4+

Lecture 292 Selenium Basics

Lecture 293 Selenium Basics 2

Lecture 294 Selenium Basics 3

Section 21: Machine Learning + Data Science

Lecture 295 Section Overview

Lecture 296 AI/Machine Learning/Data Science

Lecture 297 How Machine Learning Works

Lecture 298 History Of Data

Lecture 299 Types of Machine Learning

Lecture 300 Machine Learning 101

Lecture 301 Tools In Machine Learning

Lecture 302 Data Science 1

Lecture 303 Data Science 2

Lecture 304 Data Science 3

Lecture 305 Machine Learning 1

Lecture 306 Machine Learning 2

Lecture 307 Optional: K Nearest Neighbour

Lecture 308 Machine Learning 3

Lecture 309 Machine Learning 4

Lecture 310 Quick Note: Joblib Update

Lecture 311 Machine Learning 5

Lecture 312 Machine Learning 6

Lecture 313 Quick Note: Updated Code For Next Lecture

Lecture 314 Exercise: ReallySmartBrain

Lecture 315 My Favourite Machine Learning Resource

Section 22: Where To Go From Here?

Lecture 316 Become An Alumni

Lecture 317 Thank You

Lecture 318 Contribute To The Cheat Sheet!

Section 23: Extra Bits

Lecture 319 Quick Note: Upcoming Videos

Lecture 320 CWD: Git + Github

Lecture 321 Github Update: Master –> Main

Lecture 322 CWD: Git + Github 2

Lecture 323 Contributing To Open Source

Lecture 324 Contributing To Open Source 2

Lecture 325 Exercise: Contribute To Open Source

Lecture 326 Coding Challenges

Lecture 327 Quick Note: Upcoming Videos

Lecture 328 JTS: Learn to Learn

Lecture 329 JTS: Start With Why

Lecture 330 Quick Note: Next Video

Lecture 331 My Terminal Setup

Lecture 332 My Terminal Setup 2

Lecture 333 AMA – 1,000 Students!!

Lecture 334 AMA – 100,000 Students!!

Section 24: Appendix: HTML Forms

Lecture 335 Quick Note: Upcoming Videos

Lecture 336 HTML Forms

Lecture 337 HTML Forms 2

Lecture 338 Submitting A Form


Lecture 339 Special Bonus Lecture

Anyone who wants to master Python 3,Anyone who wants to learn to code,Anyone looking to level up their skills and master a new programming language,Anyone who wants to get into: Web Development, Machine Learning, Data Science and other hot job markets


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Complete Python Developer In 2023: Zero To Mastery


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