Complete Guide To Python Programming Tutorial

This comprehensive course is designed to take you from the fundamentals of Python programming to advanced applications

What you'll learn

In the context of a complete guide to Python programming, the role and responsibilities of a manager overseeing such a project or course .

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A “complete guide to Python” is a valuable tool, but use it wisely: Combine it with hands-on practice Stay up to date Seek community input Build real projects.

News classification using python with machine learning classifier

Requirements

Typical Requirements or Prerequisites for a Python Programming Course 1. Basic Computer Literacy Ability to use a computer, manage files/folders, and install software. Familiarity with typing, using a mouse, and basic troubleshooting. 2. Internet Access Needed for downloading Python, accessing course materials, and sometimes using online coding platforms. 3. No Prior Programming Knowledge (for Beginner Courses) Most beginner Python courses do not require previous coding experience. Advanced or specialized Python courses (e.g., web development, data science) may require knowledge of Python basics. 4. English Proficiency Most Python learning resources and documentation are in English. Basic reading comprehension is helpful. 5. Willingness to Learn Curiosity, persistence, and a problem-solving mindset are important!

Description

Complete Guide to Python Programming — Course DescriptionOverviewUnlock the power of programming with Python — one of the world’s most popular and versatile languages! This comprehensive course takes you from absolute beginner to confident Python programmer, providing all the skills you need for software development, data analysis, automation, web development, and more.What You’ll LearnPython fundamentals: Syntax, variables, data types, and operatorsControl flow: Conditional statements, loops, and error handlingFunctions and modules: Code organization, reusable functions, importing librariesWorking with data: Lists, dictionaries, sets, and tuplesFile I/O: Reading from and writing to filesObject-Oriented Programming: Classes, objects, inheritance, and encapsulationPopular Python libraries: Introduction to packages for data science, web, and automation (e.g., requests, pandas, matplotlib)Project development: Build real-world Python applicationsWho Is This Course For?Complete beginners with no prior programming experienceStudents and professionals seeking to learn Python for academic, personal, or career goalsDevelopers from other languages looking to add Python to their skillsetAnyone interested in automation, data science, or web developmentCourse FeaturesStep-by-step, hands-on tutorialsPractice exercises and coding challengesReal-world projects for portfolio buildingDownloadable resources and code samplesSupportive learning communityPrerequisitesNo prior programming experience requiredBasic computer skills and internet accessOutcomesBy the end of this course, you will be able to:Understand and write Python code confidentlySolve problems and automate tasks using PythonBuild and share your own Python applicationsLay a strong foundation for advanced topics like web development, data science, or machine learningReady to start your Python journey? This course is your all-in-one guide to programming success!

Overview

Section 1: Introduction

Lecture 1 Exploring the World of Software_ Types and Functions

Section 2: Get started Python Programming in Anaconda environment

Lecture 2 Setup Python in Anaconda

Section 3: Install Python Libraries in Jupyter Notebook

Lecture 3 Python Libraries

Section 4: create a CSV file in python program

Lecture 4 Create CSV File

Section 5: Building a News Classifier Practical Machine Learning with Python

Lecture 5 News Classifier using Machine Learning

Lecture 6 news classification implementation

Lecture 7 Simple Project for IRIS flower classification : Project Detail

This course is designed for: 1. Absolute Beginners People with no prior programming experience who want to learn Python from scratch. Anyone curious about coding and looking for an accessible first language. 2. Students High school, college, or university students who need Python for coursework or projects. Learners preparing for computer science, engineering, mathematics, or data-focused subjects. 3. Professionals Workers in non-technical fields (business, finance, biology, etc.) who want to automate tasks or analyze data. IT professionals or software engineers new to Python who want to expand their skills. 4. Aspiring Data Scientists & Analysts Those interested in data science, machine learning, or AI who need a solid foundation in Python. Anyone planning to use Python for statistics, data analysis, or visualization. 5. Developers from Other Languages Programmers familiar with Java, C++, JavaScript, etc., transitioning to Python for new projects. 6. Hobbyists & Makers People interested in automation, Raspberry Pi, web development, scripting, or game development. 7. Teachers & Educators Instructors who want to introduce Python in their classrooms or workshops.