What you'll learnBecome 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
RequirementsA 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!
DescriptionJust 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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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!
OverviewSection 1: Introduction
Lecture 1 Course Outline
Lecture 2 Join Our Online Classroom!
Lecture 3 Exercise: Meet Your Classmates & 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 23 DEVELOPER FUNDAMENTALS: I
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 40 DEVELOPER FUNDAMENTALS: II
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 52 DEVELOPER FUNDAMENTALS: III
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 78 DEVELOPER FUNDAMENTALS: IV
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 124 DEVELOPER FUNDAMENTALS: V
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
Lecture 183 DEVELOPER FUNDAMENTALS: VI
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 209 DEVELOPER FUNDAMENTALS: VII
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 Kaggle Datasets
Lecture 303 Data Science 1
Lecture 304 Data Science 2
Lecture 305 Data Science 3
Lecture 306 Machine Learning 1
Lecture 307 Machine Learning 2
Lecture 308 Optional: K Nearest Neighbour
Lecture 309 Machine Learning 3
Lecture 310 Machine Learning 4
Lecture 311 Quick Note: Joblib Update
Lecture 312 Machine Learning 5
Lecture 313 Machine Learning 6
Lecture 314 Quick Note: Updated Code For Next Lecture
Lecture 315 Exercise: ReallySmartBrain
Lecture 316 My Favourite Machine Learning Resource
Section 22: Where To Go From Here?
Lecture 317 Become An Alumni
Lecture 318 Thank You
Lecture 319 Contribute To The Cheat Sheet!
Section 23: Extra Bits
Lecture 320 Quick Note: Upcoming Videos
Lecture 321 CWD: Git + Github
Lecture 322 Github Update: Master --> Main
Lecture 323 CWD: Git + Github 2
Lecture 324 Contributing To Open Source
Lecture 325 Contributing To Open Source 2
Lecture 326 Exercise: Contribute To Open Source
Lecture 327 Coding Challenges
Lecture 328 Quick Note: Upcoming Videos
Lecture 329 JTS: Learn to Learn
Lecture 330 JTS: Start With Why
Lecture 331 Quick Note: Next Video
Lecture 332 My Terminal Setup
Lecture 333 My Terminal Setup 2
Lecture 334 AMA - 1,000 Students!!
Lecture 335 AMA - 100,000 Students!!
Section 24: Appendix: HTML Forms
Lecture 336 Quick Note: Upcoming Videos
Lecture 337 HTML Forms
Lecture 338 HTML Forms 2
Lecture 339 Submitting A Form
Section 25: BONUS SECTION
Lecture 340 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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