Complete Python Bootcamp For Absolute Beginners:Zero To Hero

Learn Python programming from scratch with hands-on exercises in this Python course!

What you'll learn

Master the Features of Python Language

Using Python to solve real life problems with computer programs

You will learn the absolute basics of how programs run, and why Python is a great language.

You will be discovering the different data types Python has to offer, and how to use them.

You will learn how to use loops to allow for iteration over data, and improve code efficiency.

You will learn how to use control flow, to allow 'decision making' to happen in your code.

You will learn how to write functions to allow for reusable blocks of code to be used elsewhere in your code.

Modules and libraries: students will learn how to import and use pre-existing modules and libraries in their own programs.

Requirements

No programming skill is needed, you will learn everything you need to know

Access to a computer with an internet connection.

Description

Learn Python like a Professional Start from the basics and go all the way to creating your own real world applicationsLearn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will do different coding challenge The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world.The topics covered in this course are:- Programming Fundamentals- Python Basics- Python Fundamentals- Data Structures- Functional Programming with Python- Lambdas- Modules- Virtual Environments- Developer Environments (PyCharm, VS Code)In this course, you will be taught the fundamentals of Python through video lectures, quizzes, review exercises, and programming challenges.Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles. This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired.If you have any questions about this course, please contact me as soon as possible and I will respond to you the same day. With the help of this course, you will learn how to make your lives simpler by becoming familiar with the Python programming language. This will keep you motivated on a daily basis and prevent you from becoming bored while studying Python.What if I get stuck?You can drop a question in the Q&A, and the instructor or the teaching assistant will answer your questions.What if I don’t like the course?That will likely not happen. But, if it does, you are covered by the Udemy 30-day money-back guarantee, so you can quickly return the course. No questions asked.What IDE/editor is used in the course?We will use Visual Studio Code and PyCharm in the course. However, many students prefer to use  Atom, or other IDEs and that is perfectly fine.Does the course expire?No, Once you buy the course, it is yours. You will get all future updates for free as well.

Overview

Section 1: Python Basics

Lecture 1 Course Introduction

Lecture 2 Why we learn python

Section 2: Python Variables

Lecture 3 Variables in Python

Lecture 4 Naming Variables: Rules and Best Practices

Lecture 5 Variables Naming Convention

Lecture 6 Python Comments

Section 3: Python - Operators

Lecture 7 Python Arithmetic Operators

Lecture 8 Python Comparison Operators

Lecture 9 Python Assignment Operators

Lecture 10 Python Logical Operators

Section 4: Python Numbers data-type

Lecture 11 Python Numbers data-type

Section 5: Python - Strings

Lecture 12 Introduction to Strings

Lecture 13 Using variables in Python strings with the f-strings

Lecture 14 Strings indexing and splitting

Lecture 15 slicing strings

Lecture 16 Re-assigning String in Python

Lecture 17 String formatting in Python

Lecture 18 Python String title(), upper() and lower() Method

Lecture 19 Convert one data type into the other data type

Section 6: Python - Lists

Lecture 20 Python Lists

Lecture 21 List indexing and splitting

Lecture 22 Getting the length of a list

Lecture 23 Looping through a list

Lecture 24 Check an item in the list

Lecture 25 Create a Sub-list from the List

Lecture 26 Add an Item to Python List

Lecture 27 Removing Elements from Python List

Lecture 28 Modifying Elements in Python List

Lecture 29 Combining python lists

Lecture 30 Characteristics of Python Lists

Lecture 31 Coding Challenge on Python List

Lecture 32 Solution for the Coding Challenge

Section 7: Python - Dictionary

Lecture 33 Python Dictionary

Lecture 34 Create python dictionaries

Lecture 35 Access Dictionary Item

Lecture 36 Delete Dictionary Elements

Lecture 37 dictionary methods : .pop(), and .popitem(),clear()

Lecture 38 Updating Dictionary Elements

Lecture 39 Adding an item to the dictionary

Lecture 40 Python Dictionary methods :Copy() Method

Lecture 41 Python Dictionary methods :Get() Method

Lecture 42 Dictionary methods: .setdefault() Method

Lecture 43 Dictionary methods: .update() Method

Lecture 44 Dictionary methods : .keys(), .values(), For loops

Lecture 45 Coding Challenge on Dictionaries Python

Lecture 46 Solution for the Coding Challenge

Section 8: Python - Tuples

Lecture 47 About Python tuples

Lecture 48 python tuple methods

Lecture 49 iterating through Tuple

Section 9: Sets In python

Lecture 50 introduction to sets

Lecture 51 python Set methods

Lecture 52 python Set method part 2 comprehensions

Section 10: Python input Function

Lecture 53 Accept User Input

Lecture 54 Taking multiple inputs from user in Python-Using split() method

Lecture 55 Taking multiple inputs from user in Python-Using List comprehension

Section 11: Python -Flow Control

Lecture 56 Python decision making program introduction

Lecture 57 python if statement

Lecture 58 If Else Statement

Lecture 59 Using the if. . .elif statement in an application

Section 12: Python Loops

Lecture 60 Python While Loops

Lecture 61 For Loop-Looping through a String in python

Lecture 62 For loop-Looping through python list

Lecture 63 For Loop-Looping Through Numbers in Range

Lecture 64 Loop Control Statements break

Lecture 65 Loop Control Statements continue

Lecture 66 Infinite Loop

Lecture 67 Coding Challenge

Lecture 68 Solution for Coding Challenge

Section 13: Python Function

Lecture 69 Python - Creating Functions

Lecture 70 Python Function: Passing information to a function

Lecture 71 Python Function: Defining optional parameters with defaults

Lecture 72 Python Function: Passing multiple values to a function

Lecture 73 Using keyword arguments (kwargs)

Lecture 74 Python Function: The return Statement

Lecture 75 Python Lambda/Anonymous Function

Lecture 76 Coding Challenge

Lecture 77 Solution for the Coding Challenge

Lecture 78 Coding Challenge-Write a program to find the Volume of the Rectangular Prism

Lecture 79 Solution for Volume of the Rectangular Prism

Lecture 80 Create BMI Calculator using Python-Coding Challenge

Lecture 81 BMI Calculator Python Program with Source Code

Section 14: Python Modules

Lecture 82 Introduction about Python Module

Lecture 83 import Python User defined and Custom Modules

This course is for anyone willing to learn programming with Python, regardless your level or background.