No Prior Knowledge Needed

This course assumes you know nothing about Python or any other programming languages. Go from complete beginner to expert, with plenty of hands-on exercises along the way.

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What You'll Learn

1. Write Python code with confidence

2. Use Python in machine learning and data science projects Automate boring, repetitive tasks

3. Build command-line utilities

4. Build web scraping tools

5. Process CSV, JSON, Excel spreadsheets, PDFs, ZIP files, etc Send emails and text messages

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▶ Module 1: Getting Started ( 1 Hour )

• Introduction to Python Installing Python

• Python Interpreter

• Your First Python Program Python Extension Running Python Code Quiz

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▶ Module 2: Primitive Types ( 2 Hours )

• Variables

• Strings

• Escape Sequences Formatted Strings

• String Methods

• Numbers Working with Numbers Type Conversion

• Quiz

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▶ Module 3: Control Flow (8 Hours)

• Arithmetic Operators

• Comparison Operators

•  Logical Operators

• Assignment Operators

• Bitwise Operators

• Membership Operators

• Identity Operators

• Operator Precedence If else, elif

• For Loops

• Nested Loops

• Iterables

• While Loops

• Exercise

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▶ Module 4: Functions (4 Hours)

• Defining Functions Arguments

• Types of Functions Keyword Arguments Default Arguments *args

• **kwargs Scope Exercise

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▶ Module 5: Data Structures ( 10 Hours )

• Python Numbers

• Python List

• Python Tuple

• Python String

• Python Set Lambda Functions

• Map Function

• Filter Function

• Zip Function

• Stacks

• Queues

• Tuples

• Arrays

• Sets Dictionaries Exercise

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▶ Module 6: Exceptions ( 1 Hour )

• Exceptions

• Handling Exceptions

• The With Statement Raising Exceptions

• Cost of Raising Exceptions

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▶ Module 7: Classes ( 14 Hours )

• Classes Creating Classes Constructors

• Class vs Instance Attributes Class vs Instance Methods Magic Methods

• Comparing Objects

• Making Custom Containers Private Members Inheritance

• The Object Class

• Method Overriding Multi-level Inheritance Multiple Inheritance Abstract Base Classes Polymorphism

• Duck Typing

• Extending Built-in Types Data Classes

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▶ Module 8: Modules ( 2 Hours )

• Creating Modules

• Compiled Python Files Module Search Path Packages

• Sub-packages

• Intra-package References The dir Function

• Executing Modules as Scripts

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▶ Module 9: Python Standard Library ( 10 Hours )

• Python Standard Library Working With Paths

• Working with Directories Working with Files

• Working with Zip Files

• Working with CSV Files

• Working with JSON Files

• Working with a SQLite Database

• Working with Timestamps

• Working with DateTimes

• Working with Time Deltas Generating Random Values Opening the Browser

• Sending Emails

• Templates

• Command-line Arguments Running External Programs NumPy

• Pandas Matplotlib