Python 3 Fundamentals: Learn The Basics For Beginners

Python 3 Fundamentals: Learn The Basics For Beginners
Published 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn

Develop problem-solving skills by working on practical examples and exercises throughout the course, which will reinforce key programming concepts.

Gain proficiency in Python’s standard library and learn how to work with files, directories, dates, and advanced data structures to enhance your coding projects

Boost your confidence in Python programming by completing a final project, which will demonstrate your ability to apply the concepts learned in the course to re

Requirements

Basic computer literacy: Familiarity with operating systems (Windows, macOS, or Linux) and performing tasks such as installing software, navigating directories, and using command-line interfaces.
A computer with internet access: To download and install Python, access course materials, and search for additional resources or support online.

No prior programming experience required: This course is designed for absolute beginners and assumes no prior knowledge of programming or Python.

Willingness to learn and practice: A commitment to learning new concepts, practicing through exercises, and seeking help when needed to ensure steady progress throughout the course.

Description

Overview

Section 1: Introduction to Python 3

Lecture 1 Welcome and Course Overview

Lecture 2 Python: History and Popularity

Lecture 3 Python 2 vs Python 3

Lecture 4 Python Installation and Setup

Lecture 5 Installing Python 3 on Windows – Step-by-Step Guide
Lecture 6 Installing Python 3 on macOS – Step-by-Step Guide

Lecture 7 Installing Python 3 on Ubuntu (Linux) – Step-by-Step Guide

Lecture 8 Using Python Interpreter and IDEs

Lecture 9 Your First Lines of Python Code

Lecture 10 Resources for Learning Python

Section 2: Section 2: Basics of Python

Lecture 11 Introducing PyCharm

Lecture 13 Basic Operators and Expressions

Lecture 14 String Manipulation

Lecture 15 Lists and Tuples

Lecture 16 Dictionaries and Sets

Lecture 17 Type Conversion and Type Checking

Section 3: Control Flow

Lecture 18 Conditional Statements (if, elif, else)

Lecture 19 Loops (for and while)

Lecture 20 Loop Control Statements (break, continue, pass)

Lecture 21 Comprehensions (List, Dictionary, and Set)

Section 4: Functions

Lecture 22 Defining and Calling Functions

Lecture 23 Function Arguments and Return Values

Lecture 25 Lambda Functions

Lecture 26 Modules and Packages

Section 5: Working with Files and Directories

Lecture 27 File I/O: Opening, Reading, and Writing Files

Lecture 28 Working with Directories

Lecture 29 File and Directory Operations with os and shutil Modules

Lecture 30 Reading and Writing CSV and JSON Files

Section 6: Error Handling and Exceptions

Lecture 31 Understanding Errors and Exceptions

Lecture 32 Exception Handling with try, except, finally

Lecture 33 Raising Custom Exceptions

Lecture 34 Using Assertions and Logging for Debugging

Section 7: Python Standard Library

Lecture 35 Working with Dates and Times

Lecture 36 Random Module and Generating Random Numbers

Lecture 37 Collections Module: Advanced Data Structures

Lecture 38 Regular Expressions with the re Module

Lecture 39 Using math and statistics Modules

Section 8: Final Project and Course Wrap-up