Grow with Python Programming: From Basics to Advanced

Grow with Python Programming:

From Basics to Advanced

By Mark Fliks

Easy to follow steps with all the example codes your’re looking for.

Are you interested in learning Python quickly and effectively? This course offers an innovative ultra-fast learning framework that combines hands-on interactive exercises with projects to boost your growth as a Python programmer.

Grow with Python Programming:............................................................3

From Basics to Advanced.................................................................3

Easy to follow steps with all the example codes your’re looking for....................................3

Section 1.................................................................................10

1. Introduction to Python....................................................................10

1.1. History and Features of Python.........................................................10

1.2. Setting Up Python Environment.........................................................11

Installing Python on Different Operating Systems............................................12

Introduction to Integrated Development Environments (IDEs)....................................13

Setting Up Virtual Environments with venv or virtualenv........................................14

1.3. Writing and Running Your First Python Script...............................................17

Understanding the Structure of a Python Script..............................................17

Running Python Scripts from the Command Line and Within an IDE...............................18

Basic Debugging Techniques...........................................................19

Understanding the Structure of a Python Script..............................................21

Basic Debugging Techniques...........................................................24

2. Basic Python Syntax.....................................................................29

2.1. Variables and Data Types.............................................................29

Declaring and Initializing Variables.......................................................29

Basic Data Types...................................................................30

Type Conversion and Type Checking.....................................................31

2.2. Basic Operators....................................................................33

Arithmetic Operators.................................................................33

Comparison Operators................................................................35

Logical Operators...................................................................37

Assignment Operators................................................................38

2.3. Input and Output Functions............................................................40

Using print() for Output...............................................................40

Using input() for User Input............................................................41

Formatting Strings...................................................................42

3. Control Flow...........................................................................45

3.1. Conditional Statements...............................................................45

Using if, elif, and else Statements........................................................45

Nested Conditionals.................................................................46

Understanding and Using Boolean Expressions.............................................47

3.2. Loops...........................................................................49

Using for Loops.....................................................................49

Using while Loops...................................................................51

Nested Loops......................................................................52

3.3. Break and Continue Statements........................................................54

Exiting Loops Prematurely with break.....................................................54

Skipping Iterations with continue........................................................55

Using else with Loops................................................................57

4. Functions.............................................................................60

4.1. Defining and Calling Functions.........................................................60

4.2. Function Arguments and Return Values...................................................64

Positional and Keyword Arguments......................................................64

Default Argument Values..............................................................66

Returning Values from Functions........................................................67

Multiple Return Values Using Tuples.....................................................67

4.3. Built-in Functions...................................................................69

Commonly Used Built-in Functions.......................................................69

Using help() and dir() to Explore Built-in Functions and Objects..................................72

5. Data Structures........................................................................75

5.1. Lists............................................................................75

Accessing Elements by Index...........................................................76

List Methods.......................................................................77

5.2. Tuples...........................................................................82

Creating and Using Tuples.............................................................82

Accessing Elements by Index...........................................................83

Differences Between Tuples and Lists....................................................84

5.3. Dictionaries.......................................................................86

Creating and Using Dictionaries.........................................................86

Accessing, Adding, and Modifying Key-Value Pairs...........................................87

Dictionary Methods..................................................................89

5.4. Sets.............................................................................94

Creating and Using Sets..............................................................94

Set Operations (Union, Intersection, Difference).............................................95

Set Methods.......................................................................98

Section 2: Intermediate.....................................................................102

1. Advanced Data Structures................................................................102

1.2. Dictionary Comprehensions..........................................................105

Introduction to Dictionary Comprehensions................................................105

Syntax and Use Cases..............................................................105

Creating Dictionaries from Lists and Other Dictionaries.......................................106

Dictionary Comprehensions with Conditional Statements......................................107

1.3. Advanced String Manipulation.........................................................108

String Methods....................................................................108

Formatting Strings with f-strings, format(), and %............................................111

Regular Expressions for Pattern Matching.................................................113

2. Modules and Packages..................................................................116

2.1. Importing Modules.................................................................116

Using import to Include Standard and Third-Party Modules....................................116

Importing Specific Functions or Classes..................................................117

Using as to Create Aliases for Modules...................................................118

2.2. Standard Libraries.................................................................119

Overview of Useful Standard Libraries...................................................119

Examples of Common Tasks Using Standard Libraries.......................................122

2.3. Creating and Using Packages.........................................................124

Organizing Code into Modules and Packages..............................................124

Creating and Using Custom Packages...................................................125

Understanding the __init__.py File......................................................127

3. File Handling.........................................................................129

3.1. Reading and Writing Files............................................................129

Opening Files in Different Modes (r, w, a, b)...............................................129

Reading from Files (read(), readline(), readlines())...........................................130

Writing to Files (write(), writelines()).....................................................131

Using Context Managers with with Statement..............................................132

3.2. Working with Different File Formats.....................................................133

Reading and Writing CSV Files Using csv Module...........................................133

Reading and Writing JSON Files Using json Module.........................................135

Introduction to XML and YAML File Handling...............................................137

3.3. File Manipulation..................................................................139

Copying, Moving, and Deleting Files Using shutil Module......................................139

Working with File Paths Using os.path and pathlib...........................................141

Handling File Permissions and Metadata..................................................143

4. Error Handling........................................................................145

4.1. Exception Handling.................................................................145

Introduction to Exceptions and Error Handling..............................................145

Using try, except, else, and finally Blocks.................................................146

Handling Multiple Exceptions..........................................................148

4. Error Handling........................................................................149

4.2. Custom Exceptions.................................................................149

Creating Custom Exception Classes.....................................................150

Raising Exceptions Using raise........................................................151

Using assert Statements for Debugging..................................................152

4. Error Handling........................................................................154

4.3. Debugging Techniques..............................................................154

Using Print Statements for Debugging...................................................154

Introduction to the pdb Debugger.......................................................155

Debugging in IDEs..................................................................156

5. Object-Oriented Programming (OOP)........................................................157

5.1. Classes and Objects................................................................157

Introduction to Classes and Objects.....................................................157

Defining Classes and Creating Objects...................................................158

Class Attributes and Instance Attributes..................................................160

5. Object-Oriented Programming (OOP)........................................................162

5.2. Inheritance.......................................................................162

Introduction to Inheritance............................................................162

Creating Subclasses................................................................163

Overriding Methods and Using super()...................................................164

5. Object-Oriented Programming (OOP)........................................................166

5.3. Polymorphism....................................................................166

Understanding Polymorphism..........................................................166

Method Overloading and Overriding.....................................................167

Duck Typing in Python...............................................................168

5. Object-Oriented Programming (OOP)........................................................170

5.4. Encapsulation....................................................................170

Introduction to Encapsulation..........................................................170

Public, Protected, and Private Attributes and Methods........................................171

Using Property Decorators for Getters and Setters..........................................173

Section 3: Advanced......................................................................176

1. Advanced OOP Concepts.............................................................176

1.1. Abstract Classes and Methods........................................................176

Introduction to Abstract Base Classes (ABCs)..............................................176

Using the abc Module...............................................................176

Defining Abstract Methods............................................................177

Implementing Abstract Classes in Subclasses..............................................178

Section 3: Advanced......................................................................180

1.2. Interfaces........................................................................180

Understanding the Concept of Interfaces in Python..........................................180

Creating Interfaces Using Abstract Base Classes...........................................181

Implementing Interfaces in Concrete Classes..............................................181

Section 3: Advanced......................................................................184

1.2. Interfaces........................................................................184

Understanding the Concept of Interfaces in Python..........................................184

Creating Interfaces Using Abstract Base Classes...........................................185

Implementing Interfaces in Concrete Classes..............................................185

1. Advanced OOP Concepts.............................................................188

1.3. Mixins..........................................................................188

Understanding Mixins and Their Purpose.................................................188

Creating Mixin Classes..............................................................189

Using Mixins to Add Functionality to Classes...............................................189

Section 3: Advanced......................................................................191

2. Decorators and Generators...............................................................191

2.1. Understanding Decorators...........................................................191

Introduction to Decorators............................................................192

Function Decorators and Their Uses.....................................................192

Applying Multiple Decorators..........................................................193

Class Decorators...................................................................194

2.2. Creating Custom Decorators..........................................................196

Writing Simple Function Decorators.....................................................196

Using Arguments in Decorators........................................................197

Practical Examples of Custom Decorators.................................................198

2. Decorators and Generators...............................................................200

2.3. Using Generators...............................................................201

Introduction to Generators............................................................201

Creating Generators Using yield........................................................201

Differences Between Generators and Iterators.............................................203

Generator Expressions..............................................................204

3. Concurrency..........................................................................206

3.1. Multithreading..................................................................206

Introduction to Multithreading..........................................................206

Using the threading Module...........................................................207

Creating and Managing Threads........................................................208

Thread Synchronization with Lock, RLock, and Semaphore....................................209

Section 3: Advanced......................................................................212

3. Concurrency.......................................................................212

3.2. Multiprocessing.................................................................212

Introduction to Multiprocessing.........................................................212

Using the multiprocessing Module......................................................213

Creating and Managing Processes......................................................214

Sharing Data Between Processes Using Queue and Pipe.....................................215

Section 3: Advanced......................................................................217

3.3. Asyncio for Asynchronous Programming..............................................218

Introduction to Asynchronous Programming...............................................218

Using the asyncio Module............................................................219

Defining Asynchronous Functions with async and await.......................................220

Managing Asynchronous Tasks........................................................220

Section 4: Working with Databases...........................................................223

4.1. Connecting to Databases............................................................223

Introduction to Relational Databases.....................................................223

Connecting to SQLite................................................................224

Connecting to MySQL...............................................................225

Connecting to PostgreSQL............................................................227

4.2. CRUD Operations.................................................................229

Performing Create, Read, Update, and Delete (CRUD) Operations...............................229

Executing SQL Queries from Python.....................................................231

Handling Transactions and Committing Changes............................................233

HR Support Database Script..........................................................236

Explanation:......................................................................240

How to Run:......................................................................240

4.3. Using ORMs (Object-Relational Mappers)................................................240

Introduction to ORMs................................................................240

Using SQLAlchemy for Database Interaction...............................................241

Defining Models and Performing CRUD Operations with SQLAlchemy............................242

Introduction to Django ORM...........................................................243

Section 5: Web Development...............................................................245

5.1. Introduction to Flask and Django.......................................................245

Overview of Flask and Django Frameworks................................................245

Setting Up a Basic Flask Application.....................................................246

Setting Up a Basic Django Project......................................................247

5.2. Building RESTful APIs..............................................................249

Principles of REST Architecture........................................................249

Creating RESTful APIs with Flask.......................................................250

Creating RESTful APIs with Django REST Framework........................................252

5.3. Web Scraping with BeautifulSoup and Scrapy.............................................255

Introduction to Web Scraping..........................................................255

Using BeautifulSoup for Simple Web Scraping Tasks.........................................255

Using Scrapy for Advanced Web Scraping Projects..........................................257

Section 6: Data Science and Machine Learning..................................................260

6.3. Simple Machine Learning Projects......................................................260

Building a Basic Classifier............................................................261

Creating a Regression Model..........................................................262

Evaluating Model Performance.........................................................263

Section 1

1. Introduction to Python

1.1. History and Features of Python

History of Python

Python is a high-level, interpreted programming language that was created by Guido van Rossum and first released in 1991. The language was designed with an emphasis on code readability and simplicity, making it a popular choice for both beginners and experienced developers.

Key Milestones in Python's History:

●  Late 1980s: Guido van Rossum began working on Python as a successor to the ABC programming language.

●  1991: Python 0.9.0 was released, featuring classes with inheritance, exception handling, functions, and the core data types: str, list, dict, and others.

●  2000: Python 2.0 was released, introducing list comprehensions, garbage collection, and the beginnings of Unicode support.

●  2008: Python 3.0 was released. This major version introduced many changes to the language, improving consistency and eliminating redundancy, but it was not backward-compatible with Python 2.x.

●  2020: Python 2 reached its end of life, marking the complete transition to Python 3 for the Python community.

Features of Python

Python is known for its powerful and flexible features that make it an ideal choice for a wide range of applications. Here are some of the key features:

1.  Simple and Easy to Learn:

○  Python's syntax is clear and intuitive, making it accessible to beginners.

○  The language emphasizes readability, allowing developers to write clean and understandable code.

2.  Interpreted Language:

○  Python is an interpreted language, meaning that the code is executed line by line. This allows for quick testing and debugging.

○  No need for compiling code, which speeds up the development process.

3.  High-Level Language:

○  Python abstracts many of the complex details of the computer, allowing developers to focus on programming logic rather than low-level details.

○  Memory management and other intricate operations are handled automatically.

4.  Dynamically Typed:

○  In Python, you do not need to declare the type of a variable. The type is determined at runtime, which makes the language flexible and easy to use.

○  This dynamic typing can lead to fewer lines of code and quicker development.

5.  Extensive Standard Library:

○  Python comes with a comprehensive standard library that provides tools suited to many tasks, such as web development, data manipulation, and scientific computing.

○  This extensive library reduces the need for external libraries and simplifies the development process.

6.  Supports Multiple Programming Paradigms:

○  Python supports various programming paradigms, including procedural, object-oriented, and functional programming.

○  This flexibility allows developers to choose the best approach for their specific project.

7.  Extensible and Embeddable:

○  Python can be extended with modules written in C or C++, providing the ability to optimize certain sections of the code.

○  Python can also be embedded within C/C++ programs, making it a versatile tool for scripting in other applications.

8.  Cross-Platform Compatibility:

○  Python is available on many operating systems, including Windows, macOS, and various distributions of Linux.

○  Code written in Python can often run on multiple platforms without requiring significant modifications.

9.  Large and Active Community:

○  Python has a vibrant and supportive community, contributing to a rich ecosystem of third-party libraries and frameworks.

○  Extensive documentation, tutorials, and community support make it easier for newcomers to learn and progress.

10.  Robust Frameworks and Libraries:

○  Python boasts several powerful frameworks and libraries such as Django, Flask for web development; NumPy, pandas for data analysis; and TensorFlow, PyTorch for machine learning.

○  These tools enhance Python's capability and make it a preferred choice for many modern software development needs.

This introduction highlights Python's evolution, key features, and the reasons for its widespread adoption. By understanding Python's history and features, you will gain a better appreciation of why it is a popular and versatile programming language suitable for a wide range of applications.

1.2. Setting Up Python Environment

To start coding in Python, you need to set up a Python environment on your computer. This section covers the installation process for different operating systems, an introduction to popular Integrated Development Environments (IDEs), and how to set up virtual environments.

Installing Python on Different Operating Systems

Windows:

1.  Download Python:

○  Visit the official Python website at.org.

○  Download the latest version of Python for Windows.

2.  Run the Installer:

○  Run the downloaded