Python – Complete Python, Django, Data Science and ML Guide

Name: Python – Complete Python, Django, Data Science and ML Guide
Price: 129.99 USD

$129.99

50 hours 30 minutes

Dive into Programming, Django, Jupyter, Pygame, and AI Essentials

videoNovember 1st, 2023

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Created by Bogdan Stashchuk

Cover image for Python – Complete Python, Django, Data Science and ML Guide

ISBN: 9781835465141

PID: V21916

Unlock Python's full potential with this 50+ hour course! From programming to web and game development, data manipulation, and machine learning, gain the skills required to succeed in various Python-related careers. With practical tasks, hands-on experience, and a strong foundation in Python, you'll be ready to tackle real-world challenges and take advantage of the many opportunities this versatile language offers.

Dive into over 50 hours of comprehensive Python content
Perfect for developers, data scientists, and game creators
Build dynamic web applications with Django and games harnessing Pygame

Table of Contents

91 Chapters

1
Introduction to Python
2
Installing and Using Pycharm IDE
3
Basics Concepts in Python
4
Introduction to Functions and Built-in Functions in python
5
Code formatting and PEP8
6
Comments
7
Expressions and Instructions
8
Variables
9
Data Types and structures
10
Strings
11
String Concatenation
12
Numeric Types
13
Boolean Values
14
Magic Methods
15
sts
16
Dictionaries
17
Tuples
18
Sets
19
Ranges
20
Working with Sequences
21
Modifying Objects in Python
22
Functions
23
Function Arguments
24
Args and kwargs in Functions
25
Default Function Parameters
26
Docstrings
27
Callback Functions
28
Global and local Variables
29
Operators
30
Falsy and Truthy Values
31
Logical and Comparison Operators
32
Lambda Functions
33
Error handling
34
Sequence Unpacking
35
Unpacking Dictionary
36
Conditional Statements
37
Ternary Operator
38
For-In loop
39
While Loop
40
For-In Comprehension)
41
Generators
42
Decorator Functions
43
Classes and Objects
44
Instance and Class method
45
Magic Methods in Classes
46
Classes Extension
47
Classes in Practice
48
Key Principles in Object-Oriented Programming (OOP)
49
Modules
50
Built-in Modules
51
What is __name__ and __main__
52
JavaScript Object Notation (JSON)
53
Working with Files
54
Working with zip archives
55
Working with CSV Files
56
Working with Dates and Times
57
Generating Random Sequences and Passwords
58
Math Module and Recursive Functions
59
Regular Expressions
60
Sending Emails
61
Working with SQLite Database
62
Other Built-in Modules
63
Virtual Environments
64
Pipenv for Virtual Environments Management
65
Introduction to the Django web framework
66
Creating a Django project
67
Creating a Django Application
68
Database and Migrations in Django
69
Creating Templates in Django
70
Extending Other Templates in Django
71
Creating Multiple routes and View Functions
72
Routing between Pages in Django
73
Creating an API Django Application
74
Managing Authentication for API Requests
75
Django Project Refactoring and Admin Settings
76
Creating Games with Pygame
77
Creating a Shooter Game with Pygame
78
Interaction of the Elements in the Pygame
79
Game Refactoring using Classes and OOP
80
Jupyter Notebook
81
Jupyter Lab
82
NumPy - Creating Arrays
83
NumPy - Random Values
84
NumPy - Examples
85
Pandas - Working with DataFrames and Series
86
Pandas - Random Data Working with CSV
87
Pandas - Analysing CSV- Loaded DataFrames
88
Matplotlib - Creating Charts
89
Scikit - Learn - Machine Learning
90
Machine Learning Model for Real Data
91
Making Machine Learning Model More Real