Learn to Code in Python 3: Programming beginner to advanced

Python3 programming made easy with exercises, challenges and lots of real life examples. Learn to code today!

What you will learn

☑ The basic fundamentals of programming and writing computer code

☑ Using Python to solve real life problems with computer programs

☑ Work with JSON and send HTTP requests to Web Servers and APIs to get data from external services

☑ Statistics and Data Visualization

☑ An introduction to Machine Learning in Python

☑ Use Python to manipulate files, such as Excel sheets and TXT files

Description

In this course, learning to code will be easy and intuitive for you. You will learn Python 3, one of the most popular programming languages in the world.

We will cover the basic fundamentals of programming and you will learn how to do exciting things in Python, like reading and writing on files, like Excel sheets or TXT files, working with JSON and sending HTTP requests to web servers and APIs.

We will also cover a little bit of Data Visualization, Statistics and Machine Learning in Python.

This course does not require previous experience in IT or programming, it was designed to help any person learn to code. By the end of the course you will be writing you own programs and thinking like a programmer. Your professional life will get a huge upgrade.

This course offers life time access, a certificate of conclusion and a 30-day money back guarantee. Don’t miss this opportunity! Enroll now and start learning Python!

English

Language

Content

Python Basics

Installing Python on Mac

Installing Python on Windows

Statements

Variables

The Input Function

Exercise – Km to Miles Converter

Data Types

Data Types: Strings

Exercise – Strings

Data Types: Numbers

Exercise – Numbers

Data Types: Lists and Tuples

Exercise – Lists and Tuples

Data Types: Dictionaries

Exercise – Dictionaries

Data Types: Booleans

Exercise – Booleans

Conditionals, Loops, Functions and a bit more

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Conditionals (if, elif, else)

AND / OR operators

Exercise – Conditionals

While Loops

For Loops

Exercise – Loops

Data Validation

Error Handling

Exercise – Error Handling

Functions

Modules

Time

Matplotlib

Exercise – Time & Matplotlib.Pyplot

Requests

Sending HTTP Requests to APIs

Working With JSON

Exercise – Requests & Json (Part 1)

Exercise – Requests & Json (Part 2)

File Handling

File Handling Basics – Create, Read, Write & Append

Reading Excel Sheets

Introduction to Machine Learning

The Iris Dataset

Applying the KNN Model

Section Under Construction

The Final Project

Project Overview

Add-On Information:

Course Overview
- Welcome to ‘Learn to Code in Python 3: Programming beginner to advanced’, your definitive journey into mastering Python 3. This course guides you from fundamental programming principles to advanced application development, empowering you to think computationally and solve real-world problems.
- Designed for absolute beginners, it progresses through core syntax, logical structures, and object-oriented programming, culminating in practical projects that reinforce learning. You’ll gain the foundational skills to develop efficient, scalable solutions and unlock diverse opportunities in technology, fostering both your coding prowess and problem-solving acumen.
Requirements / Prerequisites
- Zero Coding Experience Needed: Absolutely no prior programming knowledge or technical background is required. We start from the ground up, making complex concepts accessible.
- Computer & Internet Access: A desktop or laptop (Windows, macOS, or Linux) and a stable internet connection are essential for accessing materials and development tools.
- Basic Computer Literacy: Familiarity with basic computer operations, such as file management and software installation, will be helpful.
- Eagerness to Learn: The most vital prerequisite is a curious mind, a willingness to experiment with code, and persistence in tackling challenges.
Skills Covered / Tools Used
- Core Python Fundamentals: Master variables, data types, operators, conditional statements (if/else), and various looping constructs (for, while) to control program flow.
- Advanced Data Structures: Proficiently use and manipulate Python’s built-in data structures: lists, tuples, dictionaries, and sets for efficient data handling.
- Functions & Modularity: Learn to write reusable functions, manage scope, and organize code into modules and packages, adhering to Pythonic best practices.
- Object-Oriented Programming (OOP): Understand classes, objects, inheritance, polymorphism, and encapsulation for designing robust, scalable software.
- Error Handling & Debugging: Implement try-except blocks for graceful error management and master debugging techniques to efficiently troubleshoot your code.
- File System Interaction: Beyond basic file I/O, explore advanced techniques for reading/writing various file formats and managing file paths.
- Virtual Environments & pip: Utilize pip for package management and create isolated virtual environments to manage project dependencies effectively.
- Version Control Basics (Git): Get introduced to Git fundamentals for tracking changes, managing repositories, and collaborative development – an indispensable modern skill.
- Integrated Development Environments (IDEs): Gain proficiency with tools like VS Code or PyCharm, leveraging features for code completion, refactoring, and integrated debugging.
- Database Integration: Learn to connect Python applications with relational databases (e.g., SQLite), performing CRUD operations and executing SQL queries.
- Web Scraping Introduction: Discover techniques for extracting structured data from websites using libraries like Beautiful Soup, with an emphasis on ethical practices.
- Automation Scripting: Develop practical scripts to automate repetitive tasks, demonstrating Python’s power in streamlining workflows and system interactions.
Benefits / Outcomes
- Become a Confident Python Developer: Write clean, efficient, and well-structured Python 3 code for diverse programming challenges.
- Build a Practical Portfolio: Create a collection of real-world projects, showcasing skills in data handling, API interaction, and foundational machine learning.
- Enhance Problem-Solving: Develop strong analytical and logical thinking to deconstruct complex problems and implement algorithmic solutions.
- Career Ready Skills: Acquire highly sought-after skills for roles in data analysis, web development, automation, and entry-level machine learning.
- Foundation for Specialization: Establish a solid base for advanced studies in AI, Data Science, Web Frameworks (Django/Flask), and cybersecurity.
- Master Debugging: Gain the critical ability to systematically identify errors, debug code, and ensure program reliability and correctness.
- Software Best Practices: Internalize principles of modular design, code reusability, documentation, and version control essential for professional development.
PROS
- Comprehensive Curriculum: Spans from foundational principles to advanced applications, providing a complete Python education.
- Hands-on Projects: Reinforces learning through practical, real-world project development, building a strong portfolio.
- Market-Relevant Skills: Equips learners with highly demanded skills in data manipulation, API integration, and machine learning basics.
- Career Versatility: Opens doors to multiple career paths in tech, including data science, web development, and automation.
- Beginner-Friendly: Designed to be fully accessible for individuals with no prior coding experience.
- Strong Foundation: Lays robust groundwork for continued learning and specialization in various tech fields.
CONS
- Demands Dedication: The extensive content requires significant time commitment and consistent self-discipline to master effectively.