Algo Trading 101 – Learn Practical Python 3 Beginners

Learn Practical Python 3 for Beginners

What You’ll Learn In Learn Practical Python 3 Beginners

Chapter 1 Introduction

• AlgoTrading101 x Michael Russell
• Why Choose This Course?
• What is Python?
• Resources + How to ask Questions? (IMPORTANT!)
• Installing Jupyter Notebook with Python
• Command Terminal (PC and MAC)
• Overview of Jupyter Notebook (PC + MAC Shortcuts)

Chapter 2 Basics

• Variables and Mathematical Operators
• Comparison Operators
• Strings and Len
• Slice, Split and Join
• Formatting Strings

Chapter 3 > Data Structures

• Lists and Range
• Tuples and Built-in Functions
• Sets
• Dictionaries
• Is Operator
• Structures Exercise
• Structures Solutions

Chapter 4 Control Flow and Loops

• Control Flow (If, Elif, Else)
• For Loops
• While Loops
• Loops with Control Flow
• Break, Pass and Continue
• Advanced Loops
• Loops Exercise
• Loops Solutions

Chapter 5 Comprehension

• List Comprehension
• Control Flow in Comprehension
• Dictionary Comprehension
• Set Comprehension
• Comprehension Exercise
• Comprehension Solutions

Chapter 6 Functions

• Functions
• Built-in Functions
• Args and Kwargs
• Scope
• Random Module
• Decorators (Pure)
• Decorators (Practical)
• Functions Exercise
• Functions Solutions – Part 1
• Functions Solutions – Part 2

Chapter 7 Handling Errors

• Try, Except and Finally
• Lambda Expressions
• Errors Exercise
• Errors Solutions

Chapter 8 Files

• Files
• Pickle Module
• OS Module
• Files Exercise
• Files Solutions

Chapter 9 Generators

• Generator Functions
• Generator Expressions
• Map, Filter and Reduce
• Generators Exercise
• Generators Solutions

Chapter 10 Object Orientated Programming

• Classes and Methods
• Initialization
• Class Attributes and Modules
• Decorators in Classes – Part 1
• Decorators in Classes – Part 2
• Creating Modules
• Inheritance – Part 1
• Inheritance – Part 2
• Inheritance – Part 3
• Composition
• Special Methods
• Static and Class Methods
• Encapsulation
• OOP Exercise
• OOP Solutions – Part 1
• OOP Solutions – Part 2

Chapter 11 NumPy

• NumPy Arrays
• Advanced Indexing
• NumPy Methods
• NaN Values and Linear Algebra
• Random Methods
• Saving and Loading NumPy Data
• NumPy Exercise
• NumPy Solutions

Chapter 12 Pandas

• Pandas Series
• Pandas DataFrames
• Loc, Iloc and Slicing
• Adding Dates
• Cleaning Data
• Saving and Reading Data
• Reshaping DataFrames
• Merge
• Melting and Grouping Data
• Pivoting Data
• Aggregate, Filter and Boolean Operations
• Pandas Exercis
• Pandas Solutions – Part 1
• Pandas Solutions – Part 2

Chapter 13 Matplotlib

• Basics
• Bar Charts
• Pie Charts
• Histograms
• Scatter Plot
• Heatmaps
• Subplots
• Nested Subplots
• Annotations and Equations
• Multi-Page PDF
• 3D Bar Plots – Part 1
• 3D Bar Plots – Part 2
• 3D Scatter Plots
• Matplotlib Exercise
• Matplotlib Solutions
• Learn Practical Python 3 for Beginners

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