Complete Python Developer in 2023: Zero to Mastery
Become a complete Python developer! Join a live online community of over 200,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019 and updated for 2020! Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.
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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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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.
- 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!
- 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
What you'll learn:
- Become a professional Python Developer and get hired
- Master modern Python 3 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
Watch Online Complete Python Developer in 2023: Zero to Mastery
| # | Title | Duration |
|---|---|---|
| 1 | Complete Python Developer: Zero to Mastery | 03:39 |
| 2 | Course Outline | 05:58 |
| 3 | What Is A Programming Language? | 06:25 |
| 4 | Python Interpreter | 07:05 |
| 5 | How To Run Python Code | 04:54 |
| 6 | Our First Python Progam | 07:44 |
| 7 | Latest Version Of Python | 01:43 |
| 8 | Python 2 vs Python 3 | 06:42 |
| 9 | Why So Many Languages? | 04:15 |
| 10 | Exercise: How Does Python Work? | 02:10 |
| 11 | Learning Python | 02:06 |
| 12 | Python Data Types | 04:47 |
| 13 | Numbers | 11:10 |
| 14 | Math Functions | 04:30 |
| 15 | DEVELOPER FUNDAMENTALS: I | 04:08 |
| 16 | Operator Precedence | 03:11 |
| 17 | Optional: bin() and complex | 04:03 |
| 18 | Variables | 13:13 |
| 19 | Expressions vs Statements | 01:37 |
| 20 | Augmented Assignment Operator | 02:50 |
| 21 | Strings | 05:30 |
| 22 | String Concatenation | 01:17 |
| 23 | Type Conversion | 03:04 |
| 24 | Escape Sequences | 04:24 |
| 25 | Formatted Strings | 08:24 |
| 26 | String Indexes | 08:58 |
| 27 | Immutability | 03:14 |
| 28 | Built-In Functions + Methods | 10:04 |
| 29 | Booleans | 03:22 |
| 30 | Exercise: Type Conversion | 08:23 |
| 31 | DEVELOPER FUNDAMENTALS: II | 04:43 |
| 32 | Exercise: Password Checker | 07:22 |
| 33 | Lists | 05:02 |
| 34 | List Slicing | 07:49 |
| 35 | Matrix | 04:12 |
| 36 | List Methods | 10:29 |
| 37 | List Methods 2 | 04:25 |
| 38 | List Methods 3 | 04:53 |
| 39 | Common List Patterns | 05:58 |
| 40 | List Unpacking | 02:41 |
| 41 | None | 01:52 |
| 42 | Dictionaries | 06:21 |
| 43 | DEVELOPER FUNDAMENTALS: III | 02:41 |
| 44 | Dictionary Keys | 03:38 |
| 45 | Dictionary Methods | 04:38 |
| 46 | Dictionary Methods 2 | 07:05 |
| 47 | Tuples | 04:47 |
| 48 | Tuples 2 | 03:15 |
| 49 | Sets | 07:25 |
| 50 | Sets 2 | 08:46 |
| 51 | Breaking The Flow | 02:35 |
| 52 | Conditional Logic | 13:18 |
| 53 | Indentation In Python | 04:39 |
| 54 | Truthy vs Falsey | 05:18 |
| 55 | Ternary Operator | 04:15 |
| 56 | Short Circuiting | 04:03 |
| 57 | Logical Operators | 06:57 |
| 58 | Exercise: Logical Operators | 07:48 |
| 59 | is vs == | 07:37 |
| 60 | For Loops | 07:02 |
| 61 | Iterables | 06:44 |
| 62 | Exercise: Tricky Counter | 03:24 |
| 63 | range() | 05:39 |
| 64 | enumerate() | 04:38 |
| 65 | While Loops | 06:29 |
| 66 | While Loops 2 | 05:50 |
| 67 | break, continue, pass | 04:16 |
| 68 | Our First GUI | 08:49 |
| 69 | DEVELOPER FUNDAMENTALS: IV | 06:35 |
| 70 | Exercise: Find Duplicates | 03:55 |
| 71 | Functions | 07:42 |
| 72 | Parameters and Arguments | 04:25 |
| 73 | Default Parameters and Keyword Arguments | 05:41 |
| 74 | return | 08:16 |
| 75 | Methods vs Functions | 04:34 |
| 76 | Docstrings | 03:48 |
| 77 | Clean Code | 04:39 |
| 78 | *args and **kwargs | 07:57 |
| 79 | Exercise: Functions | 04:19 |
| 80 | Walrus Operator | 07:16 |
| 81 | Scope | 03:38 |
| 82 | Scope Rules | 06:56 |
| 83 | global Keyword | 06:14 |
| 84 | nonlocal Keyword | 03:22 |
| 85 | Why Do We Need Scope? | 03:39 |
| 86 | MAC - Python Install | 04:24 |
| 87 | WINDOWS - Python Install | 04:02 |
| 88 | Python Developer Tools | 03:05 |
| 89 | Sublime Text | 05:48 |
| 90 | Optional: Terminal Commands | 09:57 |
| 91 | Using the Command Line/Terminal | 03:01 |
| 92 | Visual Studio Code | 07:30 |
| 93 | PyCharm | 08:20 |
| 94 | Code Formatting - PEP 8 | 05:27 |
| 95 | Jupyter Notebooks | 12:04 |
| 96 | Section Review | 02:21 |
| 97 | What Is OOP? | 05:47 |
| 98 | What is OOP? Part 2 | 08:18 |
| 99 | Creating Our Own Objects | 11:35 |
| 100 | Attributes and Methods | 09:13 |
| 101 | __init__ | 02:53 |
| 102 | @classmethod and @staticmethod | 05:48 |
| 103 | Reviewing What We Know So Far | 02:10 |
| 104 | DEVELOPER FUNDAMENTALS: V | 02:57 |
| 105 | Encapsulation | 05:52 |
| 106 | Abstraction | 04:49 |
| 107 | Private vs Public Variables | 05:21 |
| 108 | Inheritance | 09:28 |
| 109 | Inheritance 2 | 04:13 |
| 110 | Polymorphism | 07:08 |
| 111 | super() | 05:03 |
| 112 | Object Introspection | 02:08 |
| 113 | Dunder Methods | 09:54 |
| 114 | Exercise: Extending List | 05:01 |
| 115 | Multiple Inheritance | 06:59 |
| 116 | MRO - Method Resolution Order | 08:32 |
| 117 | Functional Programming | 01:24 |
| 118 | What Is Functional Programming? | 03:02 |
| 119 | Pure Functions | 09:24 |
| 120 | map() | 06:31 |
| 121 | filter() | 04:24 |
| 122 | zip() | 03:29 |
| 123 | reduce() | 07:32 |
| 124 | Lambda Expressions | 07:46 |
| 125 | Exercise: Lambda Expressions | 06:28 |
| 126 | List Comprehensions | 08:38 |
| 127 | Set and Dictionary Comprehension | 06:27 |
| 128 | Exercise: Comprehensions | 04:37 |
| 129 | Exercise: Imposter Syndrome | 02:56 |
| 130 | Decorators | 06:29 |
| 131 | Higher Order Functions | 02:12 |
| 132 | Decorators 2 | 07:50 |
| 133 | Decorators 3 | 06:10 |
| 134 | Why Do We Need Decorators? | 08:43 |
| 135 | Errors in Python | 06:12 |
| 136 | Error Handling | 08:32 |
| 137 | Error Handling 2 | 06:02 |
| 138 | Exercises: Error Handling | 04:58 |
| 139 | Error Handling 3 | 03:07 |
| 140 | Generators | 04:58 |
| 141 | Generators 2 | 10:31 |
| 142 | Generators Performance | 04:34 |
| 143 | Under The Hood Of Generators | 09:16 |
| 144 | Exercise: Fibonacci Numbers | 08:47 |
| 145 | Modules In Python | 11:48 |
| 146 | Packages In Python | 10:46 |
| 147 | Different Ways To Import | 07:04 |
| 148 | __name__ | 08:53 |
| 149 | Python Built-in Modules | 11:09 |
| 150 | Python Built-in Modules 2 | 06:06 |
| 151 | Exercise: Guessing Game | 12:30 |
| 152 | Python Package Index | 07:14 |
| 153 | pip install | 09:29 |
| 154 | Virtual Environments | 07:08 |
| 155 | Useful Modules | 10:09 |
| 156 | Useful Modules 2 | 06:16 |
| 157 | DEVELOPER FUNDAMENTALS: VI | 02:17 |
| 158 | How To Debug Code | 13:29 |
| 159 | Working With Files In Python | 08:33 |
| 160 | Read, Write, Append | 07:24 |
| 161 | File Paths | 06:54 |
| 162 | File IO Errors | 02:24 |
| 163 | Exercise: Translator | 09:56 |
| 164 | Regular Expressions | 08:24 |
| 165 | Regular Expressions 2 | 08:02 |
| 166 | Regular Expressions 3 | 07:34 |
| 167 | Exercise: Password Validation | 05:53 |
| 168 | Testing Introduction | 05:32 |
| 169 | Unittest | 11:04 |
| 170 | Writing Unit Tests | 08:07 |
| 171 | Writing Unit Tests 2 | 06:02 |
| 172 | Exercise: Testing | 14:04 |
| 173 | Python Careers | 04:03 |
| 174 | What If I Don't Have Enough Experience? | 15:04 |
| 175 | Now What?? | 05:04 |
| 176 | Section Overview | 01:31 |
| 177 | What Is Image Processing? | 03:44 |
| 178 | DEVELOPER FUNDAMENTALS: VII | 03:09 |
| 179 | Images With Python | 08:46 |
| 180 | Images With Python 2 | 05:15 |
| 181 | Images With Python 3 | 04:57 |
| 182 | Exercise: JPG to PNG Pokedex Converter | 05:43 |
| 183 | Solution: JPG to PNG Pokedex Converter | 11:32 |
| 184 | OpenCV | 01:29 |
| 185 | PDFs With Python | 12:09 |
| 186 | Exercise: PDF Merger | 04:55 |
| 187 | Exercise: Watermarker | 02:18 |
| 188 | Solution: Watermarker | 07:20 |
| 189 | Sending Emails With Python | 04:50 |
| 190 | Sending Emails With Python 2 | 08:01 |
| 191 | Sending Emails With Python 3 | 08:41 |
| 192 | Password Checker Project | 02:54 |
| 193 | How Hackers Work | 04:43 |
| 194 | Password API | 08:10 |
| 195 | Optional: Hash Function | 05:57 |
| 196 | Password Checker | 09:53 |
| 197 | Password Checker 2 | 08:37 |
| 198 | Password Checker 3 | 06:51 |
| 199 | Password Checker 4 | 03:14 |
| 200 | Twitter API | 03:55 |
| 201 | Our First Twitter Bot | 06:49 |
| 202 | Our First Twitter Bot 2 | 07:57 |
| 203 | Our First Twitter Bot 3 | 01:30 |
| 204 | Our First Twitter Bot 4 | 07:09 |
| 205 | SMS With Python | 03:09 |
| 206 | SMS With Python 2 | 01:30 |
| 207 | SMS With Python 3 | 06:46 |
| 208 | Web Scraping Introduction | 04:48 |
| 209 | Web Scraping and APIs | 09:11 |
| 210 | How Googlebot Works | 04:31 |
| 211 | Our Hacker News Project | 03:27 |
| 212 | Requesting Data | 05:20 |
| 213 | BeautifulSoup Basics | 06:40 |
| 214 | BeautifulSoup Selectors | 07:37 |
| 215 | Hacker News Project | 08:34 |
| 216 | Hacker News Project 2 | 07:11 |
| 217 | Hacker News Project 3 | 05:15 |
| 218 | Solution: Hacker News Project 3 | 04:04 |
| 219 | What To Do Next With Scraping? | 03:32 |
| 220 | Section Overview | 01:33 |
| 221 | How Websites Work | 08:14 |
| 222 | How Websites Work 2 | 04:32 |
| 223 | Building Our First Server | 09:24 |
| 224 | Setting Up Flask | 09:48 |
| 225 | Building A Flask Server | 10:42 |
| 226 | Flask Templates | 08:08 |
| 227 | Flask Static Files | 03:44 |
| 228 | Favicon | 03:05 |
| 229 | Templating Engine | 03:55 |
| 230 | URL Parameters | 06:46 |
| 231 | MIME Types | 05:22 |
| 232 | Building A Portfolio | 09:11 |
| 233 | Building A Portfolio 2 | 06:47 |
| 234 | Building A Portfolio 3 | 07:12 |
| 235 | Building A Portfolio 4 | 06:41 |
| 236 | Building A Portfolio 5 | 10:02 |
| 237 | Building A Portfolio 6 | 07:08 |
| 238 | Building A Portfolio 7 | 11:01 |
| 239 | Quick Note About Databases | 02:16 |
| 240 | Optional: How Databases Work | 10:55 |
| 241 | Building A Portfolio 8 | 14:55 |
| 242 | Building A Portfolio 9 | 06:55 |
| 243 | Section Overview | 01:50 |
| 244 | Selenium Introduction | 10:11 |
| 245 | Selenium Basics | 11:48 |
| 246 | Selenium Basics 2 | 10:52 |
| 247 | Selenium Basics 3 | 06:14 |
| 248 | Section Overview | 02:39 |
| 249 | AI/Machine Learning/Data Science | 03:45 |
| 250 | How Machine Learning Works | 05:54 |
| 251 | History Of Data | 04:40 |
| 252 | Types of Machine Learning | 04:54 |
| 253 | Machine Learning 101 | 08:49 |
| 254 | Tools In Machine Learning | 06:08 |
| 255 | Data Science 1 | 09:57 |
| 256 | Data Science 2 | 10:49 |
| 257 | Data Science 3 | 12:31 |
| 258 | Machine Learning 1 | 12:04 |
| 259 | Machine Learning 2 | 06:16 |
| 260 | Machine Learning 3 | 05:54 |
| 261 | Machine Learning 4 | 03:09 |
| 262 | Machine Learning 5 | 05:36 |
| 263 | Machine Learning 6 | 04:29 |
| 264 | Exercise: ReallySmartBrain | 13:56 |
| 265 | Thank You | 01:28 |
| 266 | CWD: Git + Github | 17:41 |
| 267 | CWD: Git + Github 2 | 16:53 |
| 268 | Contributing To Open Source | 14:45 |
| 269 | Contributing To Open Source 2 | 09:43 |
| 270 | JTS: Learn to Learn | 02:00 |
| 271 | JTS: Start With Why | 02:44 |
| 272 | My Terminal Setup | 06:37 |
| 273 | AMA - 1,000 Students!! | 19:04 |
| 274 | AMA - 100,000 Students!! | 38:31 |
| 275 | HTML Forms | 11:00 |
| 276 | HTML Forms 2 | 03:14 |
| 277 | Submitting A Form | 08:23 |
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