Overview
This Python certification course
is designed by highly experienced professionals to meet the latest market requirements
and needs.
JOC's Python course is designed to aid you in understanding Python programming
concepts, such as sequences, files, Sequences and Operations, Deep Dive Functions
Modules, OOPs, Modules and dealing with exceptions, NumPy, Pandas, Matplotlib, GUI
Programming, Developing Web Maps, and Data Operations and many more.
This Python course will assist you to develop real-time projects and make you an
official developer and it is designed by highly experienced professionals to meet the latest market requirements
and needs.
- What Is A Programming Language
- Python Interpreter
- How To Run Python Code
- Our First Python Program
- Latest Version Of Python
- Python 2 vs Python 3
- Why So Many Languages?
- Exercise: How Does Python Work?
- Learning Python
- Python Data Types
- Numbers
- Math Functions
- DEVELOPER FUNDAMENTALS: I
- 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
- 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
- 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?
- Exercise: Imposter Syndrome
- MAC – Python Install
- WINDOWS – Python Install
- Python Developer Tools
- Sublime Text
- Optional: Terminal Commands
- Using the Command Line/Terminal
- Visual Studio Code
- PyCharm
- Code Formatting – PEP 8
- Jupyter Notebooks
- Section Review
- What Is OOP?
- What is OOP? Part 2
- Creating Our Own Objects
- Attributes and Methods
- __init__
- @classmethod and @staticmethod
- Reviewing What We Know So Far
- DEVELOPER FUNDAMENTALS: V
- Encapsulation
- Abstraction
- Private vs Public Variables
- Inheritance
- Inheritance 2
- Polymorphism
- super()
- Object Introspection
- Dunder Methods
- Exercise: Extending List
- Multiple Inheritance
- MRO – Method Resolution Order
- Functional Programming
- What Is Functional Programming?
- Pure Functions
- map()
- filter()
- zip()
- reduce()
- Lambda Expressions
- Exercise: Lambda Expressions
- List Comprehensions
- Set and Dictionary Comprehension
- Exercise: Comprehensions
- Decorators
- Higher Order Functions
- Decorators 2
- Decorators 3
- Why Do We Need Decorators?
- Errors in Python
- Error Handling
- Error Handling 2
- Exercises: Error Handling
- Error Handling 3
- Generators
- Generators 2
- Generators Performance
- Under The Hood Of Generators
- Exercise: Fibonacci Numbers
- 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
- Useful Modules 2
- DEVELOPER FUNDAMENTALS: VI
- How To Debug Code
- Working With Files In Python
- Read, Write, Append
- File Paths
- File IO Errors
- Exercise: Translator
- Regular Expressions
- Regular Expressions 2
- Exercises: Interactive RegEx
- Regular Expressions 3
- Exercise: Password Validation
- Exercise: Password Validation 2
- Testing Introduction
- Unittest
- Writing Unit Tests
- Writing Unit Tests 2
- Exercise: Testing
- Python Careers
- What If I Don’t Have Enough Experience?
- Now What??
- 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
- Solution: JPG to PNG Pokedex Converter
- OpenCV
- PDFs With Python
- Exercise: PDF Merger
- Exercise: Watermarker
- Solution: Watermarker
- Sending Emails With Python
- Sending Emails With Python 2
- Sending Emails With Python 3
- Password Checker Project
- How Hackers Work
- Password API
- Optional: Hash Function
- Password Checker
- Password Checker 2
- Password Checker 3
- Password Checker 4
- Twitter 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
- Web Scraping Introduction
- Web Scraping and APIs
- How Googlebot Works
- Our Hacker News Project
- Requesting Data
- BeautifulSoup Basics
- BeautifulSoup Selectors
- Hacker News Project
- Hacker News Project 2
- Hacker News Project 3
- Solution: Hacker News Project 3
- What To Do Next With Scraping?
- 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
- Building A Portfolio 2
- Building A Portfolio 3
- Building A Portfolio 4
- Building A Portfolio 5
- Building A Portfolio 6
- Building A Portfolio 7
- Quick Note About Databases
- Optional: How Databases Work
- Building A Portfolio 8
- Building A Portfolio 9
- Section Overview
- Selenium Introduction
- Selenium Basics
- Selenium Basics 2
- Selenium Basics 3
- 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
- Machine Learning 3
- Machine Learning 4
- Machine Learning 5
- Machine Learning 6
- Exercise: ReallySmartBrain
- Thank You
- 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!!
- Quick Note: Upcoming Videos
- HTML Forms
- HTML Forms 2
- Submitting A Form
- Bonus Lecture
- Enroll Now!
- Download Syllabus
