Course Overview
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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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!
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Course curriculum
-
What Is A Programming Language
384 -
Python Interpreter
424 Xem trước -
How To Run Python Code
250 -
Note: Jumping To Developer Environment
-
IMPORTANT: Replit changed to Glot.io
Xem trước -
Our First Python Program
434 Xem trước -
Monthly Coding Challenges, Free Resources and Guides
-
Python 2 vs Python 3
400 -
Why So Many Languages?
254 -
Exercise: How Does Python Work?
129 Xem trước -
ZTM Python Cheat Sheet
-
Monthly Industry Updates
-
Endorsements On LinkedIN
-
Learning Python
125 -
Python Data Types
285 -
How To Succeed
-
Numbers
669 -
Math Functions
269 -
DEVELOPER FUNDAMENTALS: I
247 -
Operator Precedence
190 -
Exercise: Operator Precedence
-
Optional: bin() and complex
242 -
Variables
792 -
Expressions vs Statements
96 -
Augmented Assignment Operator
169 -
Strings
329 -
String Concatenation
76 -
Type Conversion
183 -
Escape Sequences
263 -
Formatted Strings
503 -
String Indexes
537 -
Immutability
193 -
Built-In Functions + Methods
603 -
Booleans
201 -
Exercise: Type Conversion
502 -
DEVELOPER FUNDAMENTALS: II
282 -
Exercise: Password Checker
441 -
Lists
301 -
List Slicing
468 -
Matrix
251 -
List Methods
628 -
List Methods 2
264 -
List Methods 3
292 -
Common List Patterns
357 -
List Unpacking
160 -
None
111 -
Dictionaries
380 -
Python 3.7: Ordered Dict
-
DEVELOPER FUNDAMENTALS: III
160 -
Dictionary Keys
217 -
Dictionary Methods
277 -
Dictionary Methods 2
424 -
Tuples
286 -
Tuples 2
194 -
Sets
444 -
Sets 2
525
-
Breaking The Flow
154 -
Conditional Logic
797 -
Indentation In Python
278 -
Truthy vs Falsey
317 -
Ternary Operator
254 -
Short Circuiting
242 -
Logical Operators
416 -
Exercise: Logical Operators
467 -
Is vs ==
456 -
For Loops
421 -
Iterables
403 -
Exercise: Tricky Counter
203 -
Range()
338 -
Enumerate()
277 -
While Loops
388 -
While Loops 2
349 -
Break, continue, pass
255 -
Our First GUI
528 -
DEVELOPER FUNDAMENTALS: IV
394 -
Exercise: Find Duplicates
234 -
Functions
461 -
Parameters and Arguments
264 -
Default Parameters and Keyword Arguments
340 -
Return
791 -
Exercise: Tesla
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Methods vs Functions
273 -
Docstrings
227 -
Clean Code
278 -
*args and **kwargs
476 -
Exercise: Functions
258 -
Walrus Operator
435 -
Scope
217 -
Scope Rules
415 -
Global Keyword
373 -
Nonlocal Keyword
200 -
Why Do We Need Scope?
218 -
Exercise: Imposter Syndrome
175 -
Python Exam: Testing Your Understanding
-
MAC - Python Install
263 -
WINDOWS - Python Install
241 -
WINDOWS - Get Terminal
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LINUX - Python Install
-
Python Developer Tools
184 -
Sublime Text
347 -
Resources: Customizing Sublime Text 4
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Quick Note: Upcoming Video
-
Optional: Terminal Commands
596 -
ITerm Setup
-
Using the Command Line/Terminal
180 -
Visual Studio Code
449 -
PyCharm
499 -
Code Formatting - PEP 8
326 -
Quick Note: Jupyter Notebooks
-
Jupyter Notebooks
723 -
Section Review
140
-
Note on Upcoming Sections
-
What Is OOP?
346 -
What is OOP? Part 2
497 -
Creating Our Own Objects
694 -
Attributes and Methods
552 -
__init__
172 -
Exercise: Cats Everywhere
-
@classmethod and @staticmethod
347 -
Reviewing What We Know So Far
129 -
DEVELOPER FUNDAMENTALS: V
176 -
Encapsulation
351 -
Abstraction
288 -
Private vs Public Variables
320 -
Inheritance
567 -
Inheritance 2
252 -
Polymorphism
427 -
Exercise: Pets Everywhere
-
Super()
302 -
Object Introspection
127 -
Dunder Methods
593 -
Exercise: Extending List
300 -
Multiple Inheritance
418 -
MRO - Method Resolution Order
511
-
Functional Programming
83 -
What Is Functional Programming?
181 -
Pure Functions
563 -
Map()
390 -
Filter()
263 -
Zip()
208 -
Reduce()
451 -
Exercises: map, filter, zip, reduce
-
Lambda Expressions
465 -
Exercise: Lambda Expressions
387 -
List Comprehensions
517 -
Set and Dictionary Comprehension
386 -
Exercise: Comprehensions
276 -
We Still Have More To Go!
-
Modules In Python
707 -
Packages In Python
645 -
Different Ways To Import
423 -
__name__
532 -
Python Built-in Modules
668 -
Python Built-in Modules 2
365 -
Exercise: Guessing Game
749 -
Python Package Index
433 -
Pip install
568 -
Virtual Environments
427 -
Useful Modules
608 -
Interesting Tidbit: Python Dictionaries
-
Useful Modules 2
375 -
DEVELOPER FUNDAMENTALS: VI
136
-
Section Overview
90 -
What Is Image Processing?
223 -
DEVELOPER FUNDAMENTALS: VII
188 -
Final Updated Code for this Project
-
Images With Python
525 -
Images With Python 2
314 -
Images With Python 3
296 -
Exercise: JPG to PNG Pokedex Converter
342 -
Quick Note: Github
-
Solution: JPG to PNG Pokedex Converter
691 -
OpenCV
88 -
Quick Note: Upcoming Lecture
-
PDFs With Python
728 -
Exercise: PDF Merger
294 -
Exercise: Watermarker
137 -
Solution: Watermarker
439 -
Sending Emails With Python
289 -
Quick Note: Google Security Updates
-
Sending Emails With Python 2
480 -
Sending Emails With Python 3
520 -
Password Checker Project
173 -
How Hackers Work
282 -
Password API
489 -
Quick Note: Upcoming Video
-
Optional: Hash Function
356 -
Password Checker
592 -
Password Checker 2
516 -
Password Checker 3
410 -
Password Checker 4
193 -
Quick Note: Twitter/X API Approval
-
Alternative Option: Bluesky
-
Twitter API
234 -
Quick Note: Tweepy API
-
Our First Twitter Bot
408 -
Our First Twitter Bot 2
476 -
Our First Twitter Bot 3
89 -
Our First Twitter Bot 4
428 -
SMS With Python
188 -
SMS With Python 2
89 -
SMS With Python 3
405 -
Ntfy Fun
-
Exercise: Build Something Funny
-
Web Scraping Introduction
287 -
Web Scraping and APIs
550 -
How Googlebot Works
270 -
Our Hacker News Project
206 -
Requesting Data
319 -
BeautifulSoup Basics
399 -
Quick Note: .storylink to .titleline
-
BeautifulSoup Selectors
456 -
Hacker News Project
513 -
Hacker News Project 2
430 -
Hacker News Project 3
314 -
Solution: Hacker News Project 3
243 -
What To Do Next With Scraping?
211
-
Section Overview
92 -
How Websites Work
493 -
How Websites Work 2
271 -
Building Our First Server
563 -
Quick Note: Flask Versions
-
Setting Up Flask
587 -
Building A Flask Server
641 -
Flask Templates
487 -
Flask Static Files
223 -
Favicon
184 -
Templating Engine
234 -
URL Parameters
405 -
MIME Types
321 -
Files Needed for Next Video
-
Building A Portfolio
550 -
FREE HTML Templates
-
Building A Portfolio 2
406 -
Building A Portfolio 3
431 -
Building A Portfolio 4
400 -
HTML Forms
-
Building A Portfolio 5
601 -
Building A Portfolio 6
427 -
Building A Portfolio 7
660 -
Quick Fix: newline
-
Quick Note About Databases
135 -
Upcoming Video
-
Optional: How Databases Work
654 -
Building A Portfolio 8
894 -
Building A Portfolio 9
414 -
Extra Exercise: Customize Your Portfolio
-
Section Overview
158 -
AI/Machine Learning/Data Science
224 -
How Machine Learning Works
353 -
History Of Data
279 -
Types of Machine Learning
293 -
Machine Learning 101
528 -
Tools In Machine Learning
367 -
Kaggle Datasets
-
Data Science 1
596 -
Data Science 2
648 -
Quick Note: Updated Code
-
Data Science 3
750 -
Machine Learning 1
723 -
Machine Learning 2
375 -
Optional: K Nearest Neighbour
-
Machine Learning 3
353 -
Machine Learning 4
188 -
Quick Note: Joblib Update
-
Machine Learning 5
335 -
Machine Learning 6
268 -
Quick Note: Updated Code For Next Lecture
-
Exercise: ReallySmartBrain
835 -
My Favourite Machine Learning Resource
-
Quick Note: Upcoming Videos
-
CWD: Git + Github
1060 -
Github Update: Master --> Main
-
CWD: Git + Github 2
1012 -
Contributing To Open Source
848 -
Contributing To Open Source 2
580 -
Exercise: Contribute To Open Source
-
Coding Challenges
-
Quick Note: Upcoming Videos
-
JTS: Learn to Learn
119 -
JTS: Start With Why
163 -
Quick Note: Next Video
-
My Terminal Setup
396 -
My Terminal Setup 2
-
Some Old Videos for You
-
AMA - 1,000 Students!!
1143 -
AMA - 100,000 Students!!
2310
Requirment
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A computer (Windows/Mac/Linux). That's it!
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No prior knowledge of Python is required.
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No previous programming experience is needed.
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Prepare to fall in love with Python and programming!
Outcomes
-
Become a professional Python Developer and get hired
-
Master modern Python 3.13(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
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