Complete Python Developer In 2023: Zero To Mastery - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Complete Python Developer In 2023: Zero To Mastery (/Thread-Complete-Python-Developer-In-2023-Zero-To-Mastery)

Complete Python Developer In 2023: Zero To Mastery - SKIKDA - 08-13-2023 Last updated 6/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 19.28 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 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 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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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! Overview Section 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 Buy Premium Account From My Download Links & Get Fastest Speed. [To see links please register or login] [To see links please register or login] [To see links please register or login]