Python Bootcamp: Learn Python Programming Masterclass [New]
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 4h 23m
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 4h 23m
Master Python Programming with this Complete Python Course: Learn from Scratch and Become a Python Expert Today!
What you'll learn
Perfect for beginners who want to start coding in Python from the basics and progress to expert-level knowledge.
Perfect for busy individuals who want to start coding quickly and learn Python programming in just 30 days.
Even if you don't have a computer science background, this course is perfect for those who want to learn coding and apply programming skills to real-world job.
Begin your coding journey with this beginner-friendly course. Learn Python quickly and become an expert in coding, with practical applications in various fields
Requirements
Basic knowledge of software installation on a PC or laptop, along with a fundamental understanding of computer basics, is recommended. No prior programming experience is required, making this course accessible to beginners.
Description
Learn Python programming step-by-step in this comprehensive Python course. This course is designed not only for beginners but also for aspiring Python experts. It covers everything you need to master Python, from the basics to advanced topics, while emphasizing the practical applications of Python knowledge in various fields such as signal processing, healthcare, IoT, automation, AI, and machine learning.Key Highlights:Foundational Concepts: Arithmetic operations and data handling. For loops, while loops, and if-else conditional statements.Core Python Features: Built-in functions, libraries, modules, and packages. Hands-on coding in popular IDEs like PyCharm and Jupyter Notebook.Advanced Topics: Functions, classes, and constructors. Object-oriented programming with inheritance.Machine Learning Basics: Understand classification techniques. Learn optimization methods for real-world problem-solving.Data Structures and Algorithms: Explore essential data structures like lists, dictionaries, and sets. Understand algorithm efficiency for optimized coding.Why Choose This Course? Gain expertise in Python’s versatile applications, from scripting to machine learning. Master tools to build efficient programs using Python’s powerful libraries and modules. Acquire essential skills for data analysis, automation, and application development. By the end of this course, you’ll confidently use Python to create innovative solutions and optimize tasks. Join now to become a proficient Python programmer and explore endless possibilities in the tech world!
Overview
Section 1: Python Basics and Setup
Lecture 1 Step-by-Step Guide to Installing Python: Set Up Your Environment with Ease
Lecture 2 Displaying Outputs in Python: Learn to Print and Format Effectively
Lecture 3 Understanding Python Variables: Declaration, Assignment, and Usage
Lecture 4 Using the Python Input Function to Get User Data
Section 2: Python Basics and Setup
Lecture 5 Understanding Data Type Conversion and Its Applications
Lecture 6 Understanding Strings and Their Operations in Python Programming
Lecture 7 Exploring Built-in String Methods in Python Libraries
Lecture 8 Learn Arithmetic Operations and Math Expressions in Python
Lecture 9 Exploring Useful Math Functions in Python Programming
Section 3: Control Flow and Logic
Lecture 10 Understanding Conditional Statements - IF, ELSEIF, ELSE
Lecture 11 Understanding the Logical AND Operator in Python
Lecture 12 Understanding the Logical OR Operator in Python
Lecture 13 Logical NOT Operator in Python
Lecture 14 Mastering Comparison Operators in Python Programming
Section 4: Recap and Review
Lecture 15 Recap of Key Concepts in Python Programming
Section 5: Loops and Iteration
Lecture 16 Working with While Loops in Python Programming
Lecture 17 Utilizing For Loops in Python Programming
Section 6: Data Structures
Lecture 18 Introduction to Lists in Python Programming
Lecture 19 Exploring List Methods in Python Programming
Lecture 20 Introduction to Dictionaries in Python Programming
Section 7: Error Handling and Functions
Lecture 21 Handling Exceptions in Python Programming
Lecture 22 Defining and Using Functions in Python Programming
Section 8: Object-Oriented Programming
Lecture 23 Introduction to Classes in Python Programming
Lecture 24 Understanding Constructors in Python Classes
Lecture 25 Exploring Inheritance in Python Classes
Section 9: Modules and Packages
Lecture 26 Working with Modules in Python Programming
Lecture 27 Introduction to Packages in Python Programming
Lecture 28 Exploring Built-in Modules in Python
Lecture 29 Using PIP for Managing Python Packages
Section 10: Working with Data
Lecture 30 Working with Spreadsheets in Python Programming
Lecture 31 Using Jupyter Notebooks for Python Programming
Lecture 32 Importing Data in Python Programming
Section 11: Productivity and Tools
Lecture 33 Useful Shortcuts in Python Programming
Section 12: Introduction to Machine Learning
Lecture 34 Machine Learning Training in Python
Lecture 35 Measuring Accuracy in Machine Learning Models
Lecture 36 Exporting Trained Models in Python
Beginners and self-learners who want to step into the world of coding.