Python Programming: A Step-By-Step Programming Course
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 991.65 MB | Duration: 3h 53m
From Basics to Advanced: A Step-by-Step Python Programming Course to Build Your Skills and Boost Your Career.
[b]What you'll learn[/b]
Overview of the course structure and objectives
Understanding the Python shell and script mode
Basic syntax and output ("Hello, World!")
Working with numbers, strings, and booleans
Arithmetic, comparison, and logical operators
Formatting and displaying output
Writing simple expressions
Local and global variables
Creating and manipulating lists
Understanding and using tuples
Understanding sets and their operations
Basic string operations and methods
Opening, reading, and writing to files
Reading and writing CSV and JSON files
Handling exceptions using try, except, and finally blocks
Defining and calling functions
[b]Requirements[/b]
No prior programming experience is required.
All you need is a computer and a willingness to learn!
[b]Description[/b]
Unlock the power of programming with Python Programming: A Step-by-Step Programming Course, designed to take you from a complete beginner to a confident Python developer. This comprehensive course provides a structured approach to learning Python, one of the most versatile and widely-used programming languages today.What You'll Learn:Fundamentals of Python: Begin with the basics, including syntax, data types, and control structures. Understand how to write clean, efficient code and troubleshoot common errors.Data Handling: Dive into Python's powerful data structures, such as lists, dictionaries, and sets. Learn how to manipulate, analyze, and visualize data effectively.Object-Oriented Programming: Explore the principles of object-oriented programming, including classes, objects, inheritance, and encapsulation. Build reusable code and design robust applications.Libraries and Frameworks: Gain hands-on experience with popular Python libraries such as NumPy, pandas, and matplotlib for data science, as well as Flask or Django for web development.Real World Projects: Apply your knowledge to practical projects, from simple scripts to more complex applications. Build a personal portfolio that showcases your skills and understanding.Best Practices: Learn industry best practices, including version control with Git, writing unit tests, and following coding standards to ensure maintainable and scalable code.Course Features:Step-by-Step Instruction: Follow a clear, structured learning path with each module building on the previous one. Interactive exercises reinforce key concepts.Hands-On Projects: Work on real-world projects that simulate practical programming scenarios. Receive feedback and guidance to help you grow.Expert Instructors: Learn from experienced instructors who provide detailed explanations, tips, and insights to enhance your learning experience.This course is ideal for beginners with no prior programming experience, as well as for those looking to solidify their Python skills. If you have a passion for coding and a desire to build functional, real-world applications, this course is designed for you. Enroll today and start your journey toward Python Programming.
Overview
Section 1: Module 1: Introduction to Python
Lecture 1 Overview of the course structure and objectives
Lecture 2 What is Python and its applications
Lecture 3 Understanding the Python shell and script mode
Lecture 4 Basic syntax and output ("Hello, World!")
Section 2: Module 2: Basic Python Syntax
Lecture 5 Understanding variables and data types
Lecture 6 Working with numbers, strings, and booleans
Lecture 7 Using the input() function
Lecture 8 Formatting and displaying output
Lecture 9 Arithmetic, comparison, and logical operators
Lecture 10 Writing simple expressions
Section 3: Module 3: Control Flow
Lecture 11 If, elif, and else statements
Lecture 12 Nested conditions
Lecture 13 For loops
Lecture 14 While loops
Section 4: Module 4: Functions
Lecture 15 Defining and calling functions
Lecture 16 Function arguments and return values
Lecture 17 Local and global variables
Section 5: Module 5: Data Structures
Lecture 18 Creating and manipulating lists
Lecture 19 List methods and operations
Lecture 20 Understanding and using tuples
Lecture 21 Creating and accessing dictionaries
Lecture 22 Understanding sets and their operations
Section 6: Module 6: Working with Strings
Lecture 23 Basic string operations and methods
Lecture 24 Using format() method
Lecture 25 Introduction to regular expressions
Section 7: Module 7: File Handling
Lecture 26 Opening, reading, and writing to files
Lecture 27 Reading and writing CSV and JSON files
Section 8: Module 8: Error Handling
Lecture 28 Understanding exceptions and error types
Lecture 29 Handling exceptions using try, except, and finally blocks
Lecture 30 Creating and using custom exceptions
Section 9: Module 9: Introduction to Modules and Packages
Lecture 31 Importing and using modules from the standard library
Lecture 32 Importing and using third-party libraries
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