kingers Posted Tuesday at 06:47 PM Report Share Posted Tuesday at 06:47 PM Complete Python Developer In 2022: Zero To Mastery Last updated 10/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 18.19 GB | Duration: 30h 47mHow 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 3.10(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 Requirements 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! Description Just updated for 2022! It's time to become a modern and complete Python developer! Join a live online community of over 600,000+ 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, Facebook, + 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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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! Overview Section 1: Introduction Lecture 1 Course Outline Lecture 2 Join Our Online Classroom! Lecture 3 Exercise: Meet Your Classmates and Instructor Section 2: Python Introduction Lecture 4 What Is A Programming Language Lecture 5 Python Interpreter Lecture 6 How To Run Python Code Lecture 7 Note: Jumping To Developer Environment Lecture 8 Our First Python Program Lecture 9 Monthly Coding Challenges, Free Resources and Guides Lecture 10 Latest Version Of Python Lecture 11 Python 2 vs Python 3 Lecture 12 Why So Many Languages? Lecture 13 Exercise: How Does Python Work? Lecture 14 ZTM Python Cheat Sheet Lecture 15 Python Developer Monthly Lecture 16 Endorsements On LinkedIN Section 3: Python Basics Lecture 17 Learning Python Lecture 18 Python Data Types Lecture 19 How To Succeed Lecture 20 Numbers Lecture 21 Math Functions Lecture 22 DEVELOPER FUNDAMENTALS: I Lecture 23 Operator Precedence Lecture 24 Exercise: Operator Precedence Lecture 25 Optional: bin() and complex Lecture 26 Variables Lecture 27 Expressions vs Statements Lecture 28 Augmented Assignment Operator Lecture 29 Strings Lecture 30 String Concatenation Lecture 31 Type Conversion Lecture 32 Escape Sequences Lecture 33 Formatted Strings Lecture 34 String Indexes Lecture 35 Immutability Lecture 36 Built-In Functions + Methods Lecture 37 Booleans Lecture 38 Exercise: Type Conversion Lecture 39 DEVELOPER FUNDAMENTALS: II Lecture 40 Exercise: Password Checker Lecture 41 Lists Lecture 42 List Slicing Lecture 43 Matrix Lecture 44 List Methods Lecture 45 List Methods 2 Lecture 46 List Methods 3 Lecture 47 Common List Patterns Lecture 48 List Unpacking Lecture 49 None Lecture 50 Dictionaries Lecture 51 DEVELOPER FUNDAMENTALS: III Lecture 52 Dictionary Keys Lecture 53 Dictionary Methods Lecture 54 Dictionary Methods 2 Lecture 55 Tuples Lecture 56 Tuples 2 Lecture 57 Sets Lecture 58 Sets 2 Section 4: Python Basics II Lecture 59 Breaking The Flow Lecture 60 Conditional Logic Lecture 61 Indentation In Python Lecture 62 Truthy vs Falsey Lecture 63 Ternary Operator Lecture 64 Short Circuiting Lecture 65 Logical Operators Lecture 66 Exercise: Logical Operators Lecture 67 is vs == Lecture 68 For Loops Lecture 69 Iterables Lecture 70 Exercise: Tricky Counter Lecture 71 range() Lecture 72 enumerate() Lecture 73 While Loops Lecture 74 While Loops 2 Lecture 75 break, continue, pass Lecture 76 Our First GUI Lecture 77 DEVELOPER FUNDAMENTALS: IV Lecture 78 Exercise: Find Duplicates Lecture 79 Functions Lecture 80 Parameters and Arguments Lecture 81 Default Parameters and Keyword Arguments Lecture 82 return Lecture 83 Exercise: Tesla Lecture 84 Methods vs Functions Lecture 85 Docstrings Lecture 86 Clean Code Lecture 87 *args and **kwargs Lecture 88 Exercise: Functions Lecture 89 Walrus Operator Lecture 90 Scope Lecture 91 Scope Rules Lecture 92 global Keyword Lecture 93 nonlocal Keyword Lecture 94 Why Do We Need Scope? Lecture 95 Exercise: Imposter Syndrome Lecture 96 Python Exam: Testing Your Understanding Section 5: Developer Environment Lecture 97 MAC - Python Install Lecture 98 WINDOWS - Python Install Lecture 99 WINDOWS - Get Terminal Lecture 100 LINUX - Python Install Lecture 101 Python Developer Tools Lecture 102 Sublime Text Lecture 103 Resources: Customizing Sublime Text 4 Lecture 104 Quick Note: Upcoming Video Lecture 105 Optional: Terminal Commands Lecture 106 iTerm Setup Lecture 107 Using the Command Line/Terminal Lecture 108 Visual Studio Code Lecture 109 PyCharm Lecture 110 Code Formatting - PEP 8 Lecture 111 Quick Note: Jupyter Notebooks Lecture 112 Jupyter Notebooks Lecture 113 Section Review Section 6: Advanced Python: Object Oriented Programming Lecture 114 Note on Upcoming Sections Lecture 115 What Is OOP? Lecture 116 What is OOP? Part 2 Lecture 117 Creating Our Own Objects Lecture 118 Attributes and Methods Lecture 119 __init__ Lecture 120 Exercise: Cats Everywhere Lecture 121 @classmethod and @staticmethod Lecture 122 Reviewing What We Know So Far Lecture 123 DEVELOPER FUNDAMENTALS: V Lecture 124 Encapsulation Lecture 125 Abstraction Lecture 126 Private vs Public Variables Lecture 127 Inheritance Lecture 128 Inheritance 2 Lecture 129 Polymorphism Lecture 130 Exercise: Pets Everywhere Lecture 131 super() Lecture 132 Object Introspection Lecture 133 Dunder Methods Lecture 134 Exercise: Extending List Lecture 135 Multiple Inheritance Lecture 136 MRO - Method Resolution Order Section 7: Advanced Python: Functional Programming Lecture 137 Functional Programming Lecture 138 What Is Functional Programming? Lecture 139 Pure Functions Lecture 140 map() Lecture 141 filter() Lecture 142 zip() Lecture 143 reduce() Lecture 144 Exercises: map, filter, zip, reduce Lecture 145 Lambda Expressions Lecture 146 Exercise: Lambda Expressions Lecture 147 List Comprehensions Lecture 148 Set and Dictionary Comprehension Lecture 149 Exercise: Comprehensions Lecture 150 We Still Have More To Go! Section 8: Advanced Python: Decorators Lecture 151 Decorators Lecture 152 Higher Order Functions Lecture 153 Decorators 2 Lecture 154 Decorators 3 Lecture 155 Why Do We Need Decorators? Lecture 156 Exercise: @authenticated Section 9: Advanced Python: Error Handling Lecture 157 Errors in Python Lecture 158 Error Handling Lecture 159 Error Handling 2 Lecture 160 Exercises: Error Handling Lecture 161 Error Handling 3 Section 10: Advanced Python: Generators Lecture 162 Generators Lecture 163 Generators 2 Lecture 164 Generators Performance Lecture 165 Under The Hood Of Generators Lecture 166 Exercise: Fibonacci Numbers Lecture 167 Python Exam: Testing Your Understanding Lecture 168 100 Python Exercises Section 11: Modules In Python Lecture 169 Modules In Python Lecture 170 Packages In Python Lecture 171 Different Ways To Import Lecture 172 __name__ Lecture 173 Python Built-in Modules Lecture 174 Python Built-in Modules 2 Lecture 175 Exercise: Guessing Game Lecture 176 Python Package Index Lecture 177 pip install Lecture 178 Virtual Environments Lecture 179 Useful Modules Lecture 180 Interesting Tidbit: Python Dictionaries Lecture 181 Useful Modules 2 Lecture 182 DEVELOPER FUNDAMENTALS: VI Section 12: Debugging In Python Lecture 183 How To Debug Code Section 13: File I/O Lecture 184 Working With Files In Python Lecture 185 Read, Write, Append Lecture 186 File Paths Lecture 187 File IO Errors Lecture 188 Exercise: Translator Section 14: Regular Expressions Lecture 189 Regular Expressions Lecture 190 Regular Expressions 2 Lecture 191 Exercises: Interactive RegEx Lecture 192 Regular Expressions 3 Lecture 193 Exercise: Password Validation Lecture 194 Exercise: Password Validation 2 Section 15: Testing In Python Lecture 195 Testing Introduction Lecture 196 Unittest Lecture 197 Writing Unit Tests Lecture 198 Writing Unit Tests 2 Lecture 199 Exercise: Testing Section 16: Career Of A Python Developer Lecture 200 Python Careers Lecture 201 Endorsements On LinkedIn Lecture 202 Quick Note: Upcoming Video Lecture 203 What If I Don't Have Enough Experience? Lecture 204 Learning Guideline Lecture 205 Now What?? Section 17: Scripting with Python Lecture 206 Section Overview Lecture 207 What Is Image Processing? Lecture 208 DEVELOPER FUNDAMENTALS: VII Lecture 209 Images With Python Lecture 210 Images With Python 2 Lecture 211 Images With Python 3 Lecture 212 Exercise: JPG to PNG Pokedex Converter Lecture 213 Quick Note: Github Lecture 214 Solution: JPG to PNG Pokedex Converter Lecture 215 OpenCV Lecture 216 Quick Note: Upcoming Lecture Lecture 217 PDFs With Python Lecture 218 Exercise: PDF Merger Lecture 219 Exercise: Watermarker Lecture 220 Solution: Watermarker Lecture 221 Sending Emails With Python Lecture 222 Quick Note: Google Security Updates Lecture 223 Sending Emails With Python 2 Lecture 224 Sending Emails With Python 3 Lecture 225 Password Checker Project Lecture 226 How Hackers Work Lecture 227 Password API Lecture 228 Quick Note: Upcoming Video Lecture 229 Optional: Hash Function Lecture 230 Password Checker Lecture 231 Password Checker 2 Lecture 232 Password Checker 3 Lecture 233 Password Checker 4 Lecture 234 Quick Note: Twitter API Approval Lecture 235 Twitter API Lecture 236 Quick Note: Tweepy API Lecture 237 Our First Twitter Bot Lecture 238 Our First Twitter Bot 2 Lecture 239 Our First Twitter Bot 3 Lecture 240 Our First Twitter Bot 4 Lecture 241 SMS With Python Lecture 242 SMS With Python 2 Lecture 243 SMS With Python 3 Section 18: Scraping Data with Python Lecture 244 Web Scraping Introduction Lecture 245 Web Scraping and APIs Lecture 246 How Googlebot Works Lecture 247 Our Hacker News Project Lecture 248 Requesting Data Lecture 249 BeautifulSoup Basics Lecture 250 Quick Note: .storylink to .titleline Lecture 251 BeautifulSoup Selectors Lecture 252 Hacker News Project Lecture 253 Hacker News Project 2 Lecture 254 Hacker News Project 3 Lecture 255 Solution: Hacker News Project 3 Lecture 256 What To Do Next With Scraping? Section 19: Web Development with Python Lecture 257 Section Overview Lecture 258 How Websites Work Lecture 259 How Websites Work 2 Lecture 260 Building Our First Server Lecture 261 Setting Up Flask Lecture 262 Building A Flask Server Lecture 263 Flask Templates Lecture 264 Flask Static Files Lecture 265 Favicon Lecture 266 Templating Engine Lecture 267 URL Parameters Lecture 268 MIME Types Lecture 269 Building A Portfolio Lecture 270 FREE HTML Templates Lecture 271 Building A Portfolio 2 Lecture 272 Building A Portfolio 3 Lecture 273 Building A Portfolio 4 Lecture 274 HTML Forms Lecture 275 Building A Portfolio 5 Lecture 276 Building A Portfolio 6 Lecture 277 Building A Portfolio 7 Lecture 278 Quick Fix: newline Lecture 279 Quick Note About Databases Lecture 280 Upcoming Video Lecture 281 Optional: How Databases Work Lecture 282 Building A Portfolio 8 Lecture 283 Building A Portfolio 9 Lecture 284 Extra Exercise: Customize Your Portfolio Section 20: Automation/Testing Lecture 285 Section Overview Lecture 286 Selenium Introduction Lecture 287 Quick Note: Selenium Version Lecture 288 Quick Update: Selenium 4+ Lecture 289 Selenium Basics Lecture 290 Selenium Basics 2 Lecture 291 Selenium Basics 3 Section 21: Machine Learning + Data Science Lecture 292 Section Overview Lecture 293 AI/Machine Learning/Data Science Lecture 294 How Machine Learning Works Lecture 295 History Of Data Lecture 296 Types of Machine Learning Lecture 297 Machine Learning 101 Lecture 298 Tools In Machine Learning Lecture 299 Data Science 1 Lecture 300 Data Science 2 Lecture 301 Data Science 3 Lecture 302 Machine Learning 1 Lecture 303 Machine Learning 2 Lecture 304 Optional: K Nearest Neighbour Lecture 305 Machine Learning 3 Lecture 306 Machine Learning 4 Lecture 307 Quick Note: Joblib Update Lecture 308 Machine Learning 5 Lecture 309 Machine Learning 6 Lecture 310 Quick Note: Latest Version of TensorFlow Lecture 311 Exercise: ReallySmartBrain Lecture 312 My Favourite Machine Learning Resource Section 22: Where To Go From Here? Lecture 313 Become An Alumni Lecture 314 Thank You Lecture 315 Contribute To The Cheat Sheet! Section 23: Extra Bits Lecture 316 Quick Note: Upcoming Videos Lecture 317 CWD: Git + Github Lecture 318 Github Update: Master -> Main Lecture 319 CWD: Git + Github 2 Lecture 320 Contributing To Open Source Lecture 321 Contributing To Open Source 2 Lecture 322 Exercise: Contribute To Open Source Lecture 323 Coding Challenges Lecture 324 Quick Note: Upcoming Videos Lecture 325 JTS: Learn to Learn Lecture 326 JTS: Start With Why Lecture 327 Quick Note: Next Video Lecture 328 My Terminal Setup Lecture 329 My Terminal Setup 2 Lecture 330 AMA - 1,000 Students!! Lecture 331 AMA - 100,000 Students!! Section 24: Appendix: HTML Forms Lecture 332 Quick Note: Upcoming Videos Lecture 333 HTML Forms Lecture 334 HTML Forms 2 Lecture 335 Submitting A Form Section 25: BONUS SECTION Lecture 336 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 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