Python Programming A Step-By-Step Programming Course (2024)

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Python Programming: A Step-By-Step Programming Course (2024)
Published 9/2024
Duration: 3h53m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 991 MB
Genre: eLearning | Language: English

From Basics to Advanced: A Step-by-Step Python Programming Course to Build Your Skills and Boost Your Career.
What you'll learn
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
Requirements
No prior programming experience is required.
All you need is a computer and a willingness to learn!
Description
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
Homepage
Screenshots

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