Python3 programming made easy with exercises, challenges and lots of real life examples. Learn to code today!
☑ 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
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
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
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
Introduction to Machine Learning
The Iris Dataset
Applying the KNN Model
Section Under Construction
The Final Project
Project Overview
