Mô tả

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 This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.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!

Bạn sẽ học được gì

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

Yêu cầu

  • 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!

Nội dung khoá học

25 sections

Introduction

4 lectures
Course Outline
05:57
Join Our Online Classroom!
04:01
Exercise: Meet Your Classmates & Instructor
01:40
ZTM Resources
04:23

Python Introduction

13 lectures
What Is A Programming Language
06:24
Python Interpreter
07:04
How To Run Python Code
04:53
Latest Version Of Python
01:28
Note: Jumping To Developer Environment
00:25
Our First Python Program
07:43
Monthly Coding Challenges, Free Resources and Guides
00:40
Python 2 vs Python 3
06:40
Why So Many Languages?
04:14
Exercise: How Does Python Work?
02:09
ZTM Python Cheat Sheet
00:30
Python Developer Monthly
00:29
Endorsements On LinkedIN
00:40

Python Basics

43 lectures
Learning Python
02:05
Python Data Types
04:45
How To Succeed
00:12
Numbers
11:09
Math Functions
04:29
DEVELOPER FUNDAMENTALS: I
04:07
Operator Precedence
03:10
IMPORTANT: Replit Code
00:34
Exercise: Operator Precedence
00:20
Optional: bin() and complex
04:02
Variables
13:12
Expressions vs Statements
01:36
Augmented Assignment Operator
02:49
Strings
05:29
String Concatenation
01:16
Type Conversion
03:03
Escape Sequences
04:23
Formatted Strings
08:23
String Indexes
08:57
Immutability
03:13
Built-In Functions + Methods
10:03
Booleans
03:21
Exercise: Type Conversion
08:22
DEVELOPER FUNDAMENTALS: II
04:42
Exercise: Password Checker
07:21
Lists
05:01
List Slicing
07:48
Matrix
04:11
List Methods
10:28
List Methods 2
04:24
List Methods 3
04:52
Common List Patterns
05:57
List Unpacking
02:40
None
01:51
Dictionaries
06:20
DEVELOPER FUNDAMENTALS: III
02:40
Dictionary Keys
03:37
Dictionary Methods
04:37
Dictionary Methods 2
07:04
Tuples
04:46
Tuples 2
03:14
Sets
07:24
Sets 2
08:45

Python Basics II

38 lectures
Breaking The Flow
02:34
Conditional Logic
13:17
Indentation In Python
04:38
Truthy vs Falsey
05:17
Ternary Operator
04:14
Short Circuiting
04:02
Logical Operators
06:56
Exercise: Logical Operators
07:47
is vs ==
07:36
For Loops
07:01
Iterables
06:43
Exercise: Tricky Counter
03:23
range()
05:38
enumerate()
04:37
While Loops
06:28
While Loops 2
05:49
break, continue, pass
04:15
Our First GUI
08:48
DEVELOPER FUNDAMENTALS: IV
06:34
Exercise: Find Duplicates
03:54
Functions
07:41
Parameters and Arguments
04:24
Default Parameters and Keyword Arguments
05:40
return
13:11
Exercise: Tesla
00:08
Methods vs Functions
04:33
Docstrings
03:47
Clean Code
04:38
*args and **kwargs
07:56
Exercise: Functions
04:18
Walrus Operator
07:15
Scope
03:37
Scope Rules
06:55
global Keyword
06:13
nonlocal Keyword
03:20
Why Do We Need Scope?
03:38
Exercise: Imposter Syndrome
02:55
Python Exam: Testing Your Understanding
00:38

Developer Environment

17 lectures
MAC - Python Install
04:23
WINDOWS - Python Install
04:01
WINDOWS - Get Terminal
00:10
LINUX - Python Install
00:04
Python Developer Tools
03:04
Sublime Text
05:47
Resources: Customizing Sublime Text 4
00:09
Quick Note: Upcoming Video
00:12
Optional: Terminal Commands
09:56
iTerm Setup
00:08
Using the Command Line/Terminal
03:00
Visual Studio Code
07:29
PyCharm
08:19
Code Formatting - PEP 8
05:26
Quick Note: Jupyter Notebooks
00:16
Jupyter Notebooks
12:03
Section Review
02:20

Advanced Python: Object Oriented Programming

23 lectures
Note on Upcoming Sections
00:27
What Is OOP?
05:46
What is OOP? Part 2
08:17
Creating Our Own Objects
11:34
Attributes and Methods
09:12
__init__
02:52
Exercise: Cats Everywhere
00:05
@classmethod and @staticmethod
05:47
Reviewing What We Know So Far
02:09
DEVELOPER FUNDAMENTALS: V
02:56
Encapsulation
05:51
Abstraction
04:48
Private vs Public Variables
05:20
Inheritance
09:27
Inheritance 2
04:12
Polymorphism
07:07
Exercise: Pets Everywhere
00:05
super()
05:02
Object Introspection
02:07
Dunder Methods
09:53
Exercise: Extending List
05:00
Multiple Inheritance
06:58
MRO - Method Resolution Order
08:31

Advanced Python: Functional Programming

14 lectures
Functional Programming
01:23
What Is Functional Programming?
03:01
Pure Functions
09:23
map()
06:30
filter()
04:23
zip()
03:28
reduce()
07:31
Exercises: map, filter, zip, reduce
00:07
Lambda Expressions
07:45
Exercise: Lambda Expressions
06:27
List Comprehensions
08:37
Set and Dictionary Comprehension
06:26
Exercise: Comprehensions
04:36
We Still Have More To Go!
00:08

Advanced Python: Decorators

6 lectures
Decorators
06:28
Higher Order Functions
02:11
Decorators 2
07:49
Decorators 3
06:09
Why Do We Need Decorators?
08:42
Exercise: @authenticated
00:03

Advanced Python: Error Handling

5 lectures
Errors in Python
06:11
Error Handling
08:31
Error Handling 2
06:01
Exercises: Error Handling
04:57
Error Handling 3
03:06

Advanced Python: Generators

7 lectures
Generators
04:57
Generators 2
10:30
Generators Performance
04:33
Under The Hood Of Generators
09:15
Exercise: Fibonacci Numbers
08:46
Python Exam: Testing Your Understanding
00:14
100 Python Exercises
00:24

Modules In Python

14 lectures
Modules In Python
11:47
Packages In Python
10:45
Different Ways To Import
07:03
__name__
08:52
Python Built-in Modules
11:08
Python Built-in Modules 2
06:05
Exercise: Guessing Game
12:29
Python Package Index
07:13
pip install
09:28
Virtual Environments
07:07
Useful Modules
10:08
Interesting Tidbit: Python Dictionaries
00:10
Useful Modules 2
06:15
DEVELOPER FUNDAMENTALS: VI
02:16

Debugging In Python

1 lectures
How To Debug Code
13:28

File I/O

5 lectures
Working With Files In Python
08:32
Read, Write, Append
07:23
File Paths
06:53
File IO Errors
02:23
Exercise: Translator
09:55

Regular Expressions

6 lectures
Regular Expressions
08:23
Regular Expressions 2
08:01
Exercises: Interactive RegEx
00:11
Regular Expressions 3
07:33
Exercise: Password Validation
05:52
Exercise: Password Validation 2
00:13

Testing In Python

5 lectures
Testing Introduction
05:31
Unittest
11:03
Writing Unit Tests
08:06
Writing Unit Tests 2
06:01
Exercise: Testing
14:03

Career Of A Python Developer

6 lectures
Python Careers
04:02
Endorsements On LinkedIn
00:40
Quick Note: Upcoming Video
00:19
What If I Don't Have Enough Experience?
15:02
Learning Guideline
00:10
Now What??
05:03

Scripting with Python

39 lectures
Section Overview
01:30
What Is Image Processing?
03:43
DEVELOPER FUNDAMENTALS: VII
03:08
Images With Python
08:45
Images With Python 2
05:14
Images With Python 3
04:56
Exercise: JPG to PNG Pokedex Converter
05:42
Quick Note: Github
00:23
Solution: JPG to PNG Pokedex Converter
11:31
OpenCV
01:28
Quick Note: Upcoming Lecture
00:51
PDFs With Python
12:08
Exercise: PDF Merger
04:54
Exercise: Watermarker
02:17
Solution: Watermarker
07:19
Sending Emails With Python
04:49
Quick Note: Google Security Updates
00:36
Sending Emails With Python 2
08:00
Sending Emails With Python 3
08:40
Password Checker Project
02:53
How Hackers Work
04:42
Password API
08:09
Quick Note: Upcoming Video
00:08
Optional: Hash Function
05:56
Password Checker
09:52
Password Checker 2
08:36
Password Checker 3
06:50
Password Checker 4
03:13
Quick Note: Twitter API Approval
02:08
Twitter API
03:54
Quick Note: Tweepy API
00:27
Our First Twitter Bot
06:48
Our First Twitter Bot 2
07:56
Our First Twitter Bot 3
01:29
Our First Twitter Bot 4
07:08
SMS With Python
03:08
SMS With Python 2
01:29
SMS With Python 3
06:45
Ntfy Fun
00:15

Scraping Data with Python

13 lectures
Web Scraping Introduction
04:47
Web Scraping and APIs
09:10
How Googlebot Works
04:30
Our Hacker News Project
03:26
Requesting Data
05:19
BeautifulSoup Basics
06:39
Quick Note: .storylink to .titleline
00:26
BeautifulSoup Selectors
07:36
Hacker News Project
08:33
Hacker News Project 2
07:10
Hacker News Project 3
05:14
Solution: Hacker News Project 3
04:03
What To Do Next With Scraping?
03:31

Web Development with Python

29 lectures
Section Overview
01:32
How Websites Work
08:13
How Websites Work 2
04:31
Building Our First Server
09:23
Setting Up Flask
09:47
Building A Flask Server
10:41
Flask Templates
08:07
Flask Static Files
03:43
Favicon
03:04
Templating Engine
03:54
URL Parameters
06:45
MIME Types
05:21
Files Needed for Next Video
00:15
Building A Portfolio
09:10
FREE HTML Templates
00:10
Building A Portfolio 2
06:46
Building A Portfolio 3
07:11
Building A Portfolio 4
06:40
HTML Forms
00:14
Building A Portfolio 5
10:01
Building A Portfolio 6
07:07
Building A Portfolio 7
11:00
Quick Fix: newline
00:09
Quick Note About Databases
02:15
Upcoming Video
00:17
Optional: How Databases Work
10:54
Building A Portfolio 8
14:54
Building A Portfolio 9
06:54
Extra Exercise: Customize Your Portfolio
00:31

Automation/Testing

7 lectures
Section Overview
01:49
Selenium Introduction
10:10
Quick Note: Selenium Version
00:21
Quick Update: Selenium 4+
00:43
Selenium Basics
11:47
Selenium Basics 2
10:51
Selenium Basics 3
06:13

Machine Learning + Data Science

22 lectures
Section Overview
02:38
AI/Machine Learning/Data Science
03:44
How Machine Learning Works
05:53
History Of Data
04:39
Types of Machine Learning
04:53
Machine Learning 101
08:48
Tools In Machine Learning
06:07
Kaggle Datasets
00:21
Data Science 1
09:56
Data Science 2
10:48
Data Science 3
12:30
Machine Learning 1
12:03
Machine Learning 2
06:15
Optional: K Nearest Neighbour
00:13
Machine Learning 3
05:53
Machine Learning 4
03:08
Quick Note: Joblib Update
00:19
Machine Learning 5
05:35
Machine Learning 6
04:28
Quick Note: Updated Code For Next Lecture
00:39
Exercise: ReallySmartBrain
13:55
My Favourite Machine Learning Resource
00:12

Where To Go From Here?

5 lectures
Become An Alumni
00:37
Thank You
01:27
Contribute To The Cheat Sheet!
00:17
Course Review
1 question
The Final Challenge
1 question

Extra Bits

16 lectures
Quick Note: Upcoming Videos
00:10
CWD: Git + Github
17:40
Github Update: Master --> Main
00:29
CWD: Git + Github 2
16:52
Contributing To Open Source
14:08
Contributing To Open Source 2
09:40
Exercise: Contribute To Open Source
00:47
Coding Challenges
00:29
Quick Note: Upcoming Videos
00:19
JTS: Learn to Learn
01:59
JTS: Start With Why
02:43
Quick Note: Next Video
00:18
My Terminal Setup
06:36
My Terminal Setup 2
00:24
AMA - 1,000 Students!!
19:03
AMA - 100,000 Students!!
38:30

Appendix: HTML Forms

4 lectures
Quick Note: Upcoming Videos
00:09
HTML Forms
10:59
HTML Forms 2
03:13
Submitting A Form
08:22

BONUS SECTION

1 lectures
Special Bonus Lecture
00:16

Đánh giá của học viên

Chưa có đánh giá
Course Rating
5
0%
4
0%
3
0%
2
0%
1
0%

Bình luận khách hàng

Viết Bình Luận

Bạn đánh giá khoá học này thế nào?

image

Đăng ký get khoá học Udemy - Unica - Gitiho giá chỉ 50k!

Get khoá học giá rẻ ngay trước khi bị fix.