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Complete Python Developer
BY
Udemy
Learn the skills in machine learning and web development with python to begin your professional career as a python 3 ...Read more
Online
₹ 699 4099
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Complete Python Developer : Zero to Mastery online certification is a short-term course developed by Andrei Neagoie, founder of ZTM academy and instructor of some highest-rated programming and technical courses available online and Udemy Inc., a US-based online learning platform. Some of the course graduates are now working at top tech companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, etc.
Complete Python Developer : Zero to Mastery syllabus involves basics and fundamentals of Python programming such as data structures, object-oriented programming, functional programming, lambdas, decorators, generators, testing, debugging & handling errors, regular expressions, file processing (image, CSV, PDFs, texts, etc), web development with python, creating developer environment with PyCharm, Jupyter notebooks, VS code, sublime text, etc.
With the Complete Python Developer : Zero to Mastery certification course, candidates will also learn about machine learning with python and data science with python, working with APIs like a Twitter bot, password checker, translators, automation with python and selenium, and whatnot. Complete Python Developer : Zero to Mastery certification course is a detailed project-based course that will help the learners develop all of the modern skills required in a Python developer and boost their career just by enrolling themselves in the course.
The highlights
- Certificate of completion
- Self-paced course
- English videos with multi-language subtitles
- 30.5 hours of pre-recorded video content
- Online course
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and TV
Program offerings
- Certificate of completion
- Self-paced course
- English videos with multi-language subtitles
- 30.5 hours of pre-recorded video content
- 57 articles
- 1 coding exercise
- 30-day money-back guarantee
- Unlimited course access
- 23 downloadable resources
Course and certificate fees
Fees information
₹ 699 ₹4,099
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Machine learning
Data science knowledge
Knowledge of python
Web application development skills
After completing the Complete Python Developer : Zero to Mastery online course, candidates will gain the knowledge of fundamentals and advanced topics of the latest python 3.10, object-oriented programming, functional programming. Learners will be skilled enough to develop websites, and machine learning models. Learners will learn about data science to analyze and visualize data, building web scrapers with python and BeautifulSoup, building a Twitter bot, testing, debugging, and handling error in programmes, using selenium and python in automation, and creating a workspace with Jupyter notebooks, PyCharm, VS code and many more.
The syllabus
Introduction
Python Introduction
- What Is A Programming Language
- Python Interpreter
- How To Run Python Code
- Note: Jumping To Developer Environment
- Our First Python Program
- Monthly Coding Challenges, Free Resources and Guides
- Latest Version Of Python
- Python 2 vs Python 3
- Why So Many Languages?
- Exercise: How Does Python Work?
- ZTM Python Cheat Sheet
- Python Developer Monthly
- Endorsements On LinkedIn
Python Basics
- Learning Python
- Python Data Types
- How To Succeed
- Numbers
- Math Functions
- DEVELOPER FUNDAMENTALS: I
- Operator Precedence
- Exercise: Operator Precedence
- Optional: bin() and complex
- Variables
- Expressions vs Statements
- Augmented Assignment Operator
- Strings
- String Concatenation
- Type Conversion
- Escape Sequences
- Formatted Strings
- String Indexes
- Immutability
- Built-In Functions + Methods
- Booleans
- Exercise: Type Conversion
- DEVELOPER FUNDAMENTALS: II
- Exercise: Password Checker
- Lists
- List Slicing
- Matrix
- List Methods
- List Methods 2
- List Methods 3
- Common List Patterns
- List Unpacking
- None
- Dictionaries
- DEVELOPER FUNDAMENTALS: III
- Dictionary Keys
- Dictionary Methods
- Dictionary Methods 2
- Tuples
- Tuples 2
- Sets
- Sets 2
Python Basics II
- Breaking The Flow
- Conditional Logic
- Indentation In Python
- Truthy vs Falsey
- Ternary Operator
- Short Circuiting
- Logical Operators
- Exercise: Logical Operators
- is vs ==
- For Loops
- Iterables
- Exercise: Tricky Counter
- range()
- enumerate()
- While Loops
- While Loops 2
- break, continue, pass
- Our First GUI
- DEVELOPER FUNDAMENTALS: IV
- Exercise: Find Duplicates
- Functions
- Parameters and Arguments
- Default Parameters and Keyword Arguments
- return
- Exercise: Tesla
- Methods vs Functions
- Docstrings
- Clean Code
- *args and **kwargs
- Exercise: Functions
- Walrus Operator
- Scope
- Scope Rules
- global Keyword
- nonlocal Keyword
- Why Do We Need Scope?
- Python Exam: Testing Your Understanding
Developer Environment
- MAC - Python Install
- WINDOWS - Python Install
- WINDOWS - Get Terminal
- LINUX - Python Install
- Python Developer Tools
- Sublime Text
- Resources: Customizing Sublime Text 3
- Quick Note: Upcoming Video
- Optional: Terminal Commands
- iTerm Setup
- Using the Command Line/Terminal
- Visual Studio Code
- PyCharm
- Code Formatting - PEP 8
- Quick Note: Jupyter Notebooks
- Jupyter Notebooks
- Section Review
Advanced Python: Object Oriented Programing
- Note on Upcoming Sections
- What Is OOP?
- What is OOP? Part 2
- Creating Our Own Objects
- Attributes and Methods
- __init__
- Exercise: Cats Everywhere
- @classmethod and @staticmethod
- Reviewing What We Know So Far
- DEVELOPER FUNDAMENTALS: V
- Encapsulation
- Abstraction
- Private vs Public Variables
- Inheritance
- Inheritance 2
- Polymorphism
- Exercise: Pets Everywhere
- super()
- Object Introspection
- Dunder Methods
- Exercise: Extending List
- Multiple Inheritance
- MRO - Method Resolution Order
Advanced Python: Functional Programming
- Functional Programming
- What Is Functional Programming?
- Pure Functions
- map()
- filter()
- zip()
- reduce()
- Exercises: map, filter, zip, reduce
- Lambda Expressions
- Exercise: Lambda Expressions
- List Comprehensions
- Set and Dictionary Comprehension
- Exercise: Comprehensions
- We Still Have More To Go!
Advanced Python: Decorators
- Decorators
- Higher-Order Functions
- Decorators 2
- Decorators 3
- Why Do We Need Decorators?
- Exercise: @authenticated
Advanced Python: Error Handling
- Errors in Python
- Error Handling
- Error Handling
- Exercises: Error Handling
- Error Handling 3
Advanced Python: Generators
- Generators
- Generators 2
- Generators Performance
- Under The Hood Of Generators
- Exercise: Fibonacci Numbers
- Python Exam: Testing Your Understanding
- 100 Python Exercises
Modules In Python
- Modules In Python
- Packages In Python
- Different Ways To Import
- __name__
- Python Built-in Modules
- Python Built-in Modules 2
- Exercise: Guessing Game
- Python Package Index
- pip install
- Virtual Environments
- Useful Modules
- Interesting Tidbit: Python Dictionaries
- Useful Modules 2
- DEVELOPER FUNDAMENTALS: VI
Debugging in Python
- How To Debug Code
File I/O
- Working With Files In Python
- Read, Write, Append
- File Paths
- File IO Errors
- Exercise: Translator
Regular Expressions
- Regular Expressions
- Regular Expressions 2
- Exercises: Interactive RegEx
- Regular Expressions 3
- Exercise: Password Validation
- Exercise: Password Validation 2
Testing in Python
- Testing Introduction
- Unittest
- Writing Unit Test
- Writing Unit Tests 2
- Exercise: Testing
Career of a Python Developer
- Python Careers
- Endorsements On LinkedIn
- Quick Note: Upcoming Video
- What If I Don't Have Enough Experience?
- Learning Guideline
- Now What??
Scripting With Python
- Section Overview
- What Is Image Processing?
- DEVELOPER FUNDAMENTALS: VII
- Images With Python
- Images With Python 2
- Images With Python 3
- Exercise: JPG to PNG Pokedex Converter
- Quick Note: Github
- Solution: JPG to PNG Pokedex Converter
- OpenCV
- PDFs With Python
- Exercise: PDF Merger
- Exercise: Watermarker
- Solution: Watermarker
- Sending Emails With Python
- Quick Note: Google Security Updates
- Sending Emails With Python 2
- Sending Emails With Python 3
- Password Checker Project
- How Hackers Work
- Password API
- Quick Note: Upcoming Video
- Optional: Hash Function
- Password Checker
- Password Checker 2
- Password Checker 3
- Password Checker 4
- Quick Note: Twitter API Approval
- Twitter API
- Quick Note: Tweepy API
- Our First Twitter Bot
- Our First Twitter Bot 2
- Our First Twitter Bot 3
- Our First Twitter Bot 4
- SMS With Python
- SMS With Python 2
- SMS With Python 3
Scraping Data With Python
- Web Scraping Introduction
- Web Scraping and APIs
- How Googlebot Works
- Our Hacker News Project
- Requesting Data
- BeautifulSoup Basics
- Quick Note: .storylink to .titlelink
- BeautifulSoup Selectors
- Hacker News Project
- Hacker News Project 2
- Hacker News Project 3
- Solution: Hacker News Project 3
- What To Do Next With Scraping?
Web Development With Python
- Section Overview
- How Websites Work
- How Websites Work 2
- Building Our First Server
- Setting Up Flask
- Building A Flask Server
- Flask Templates
- Flask Static Files
- Favicon
- Templating Engine
- URL Parameters
- MIME Types
- Building A Portfolio
- FREE HTML Templates
- Building A Portfolio 2
- Building A Portfolio 3
- Building A Portfolio 4
- HTML Forms
- Building A Portfolio 5
- Building A Portfolio 6
- Building A Portfolio 7
- Quick Fix: newline
- Quick Note About Databases
- Upcoming Video
- Optional: How Databases Work
- Building A Portfolio 8
- Building A Portfolio 9
- Extra Exercise: Customize Your Portfolio
Automation/Testing
- Section Overview
- Selenium Introduction
- Selenium Basics
- Selenium Basics 2
- Selenium Basics 3
Machine Learning + Data Science
- Section Overview
- AI/Machine Learning/Data Science
- How Machine Learning Works
- History Of Data
- Types of Machine Learning
- Machine Learning 101
- Tools In Machine Learning
- Data Science 1
- Data Science 2
- Data Science 3
- Machine Learning 1
- Machine Learning 2
- Optional: K Nearest Neighbour
- Machine Learning 3
- Machine Learning 4
- Quick Note: Joblib Update
- Machine Learning 5
- Machine Learning 6
- Quick Note: Latest Version of TensorFlow
- Exercise: ReallySmartBrain
- My Favourite Machine Learning Resource
Where To Go from Here?
- Become An Alumni
- Thank You
- Contribute To The Cheat Sheet!
- Course Review
- The Final Challenge
Extra Bits
- Quick Note: Upcoming Videos
- CWD: Git + Github
- Github Update: Master --> Main
- CWD: Git + Github 2
- Contributing To Open Source
- Contributing To Open Source 2
- Exercise: Contribute To Open Source
- Coding Challenges
- Quick Note: Upcoming Videos
- JTS: Learn to Learn
- JTS: Start With Why
- Quick Note: Next Video
- My Terminal Setup
- My Terminal Setup 2
- AMA - 1,000 Students!!
- AMA - 100,000 Students!!
Appendix: HTML Forms
- Quick Note: Upcoming Videos
- HTML Forms
- HTML Forms 2
- Submitting A Form
Bonus Section
- Bonus Lecture
Instructors
Mr Andrei Neagoie
Senior Software Developer
Freelancer
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