Udemy - Complete Python Bootcamp (2015)

Go from Zero to Hero with the most comprehensive Python course!

Course Description

BRAND NEW COURSE !

Become a Python Programmer!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you!

With over 100 lectures and more than 10 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes,tests, and homework assignments as well as 3 major projects to create a Python project portfolio!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures! This includes future updates covering Flask development and GUI creation!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Full details
What are the requirements?

Access to a computer with an internet connection.

What am I going to get from this course?

Over 104 lectures and 10.5 hours of content!
Use Python to automate tasks!
Use Python to solve real world problems!
Use Python to complete your own projects!
Use Python to create games!

What is the target audience?

Beginners who have never programmed before.
Programmers switching languages to Python.
Intermediate Python programmers who want to level up their skills!

Curriculum

Section 1: Course Overview

Lecture 1 Course Introduction 02:34
Lecture 2 Course Curriculum Overview 04:00
Lecture 3 Python 2 vs Python 3 06:57
Lecture 4 How to Approach This Course 02:31
Lecture 5 Course FAQs Text

Section 2: Python Setup

Lecture 6 Python Installation --- Windows 07:16
Lecture 7 Python Installation --- Mac OS and Linux 05:46
Lecture 8 IDE Selection 10:56
Lecture 9 Jupyter (iPython) Notebooks 14:57
Lecture 10 FAQ - Notebooks 01:46
Lecture 11 Additional Resources 05:59
Lecture 12 Git and Github Overview (Optional) 02:49

Section 3: Python Object and Data Structure Basics

Lecture 13 Numbers 14:59
Lecture 14 Numbers - FAQ Text
Quiz 1 Numbers Quiz 3 questions
Lecture 15 Strings 21:13
Lecture 16 Strings -FAQ Text
Quiz 2 Strings Quiz 3 questions
Lecture 17 Print Formatting 13:14
Lecture 18 Print Formatting FAQs Text
Lecture 19 Lists - FAQ Text
Lecture 20 Lists 19:48
Quiz 3 Lists Quiz 3 questions
Lecture 21 Dictionaries 16:11
Lecture 22 Dictionaries - FAQ Text
Quiz 4 Dictionaries Quiz 3 questions
Lecture 23 Tuples 06:29
Quiz 5 Tuples Quiz 3 questions
Lecture 24 Files 07:02
Lecture 25 Sets and Booleans 06:06
Quiz 6 Sets and Booleans Quiz 3 questions
Lecture 26 Objects and Data Structures Assessment Test 05:13
Lecture 27 Objects and Data Structures Assessment - Solutions 06:09

Section 4: Python Comparison Operators

Lecture 28 Comparison Operators 04:59
Lecture 29 Chained Comparison Operators 04:02
Quiz 7 Comparison Operators Quiz 5 questions

Section 5: Python Statements

Lecture 30 Introduction to Python Statements 04:29
Lecture 31 if, elif, and elif Statements 10:29
Lecture 32 for Loops 20:03
Lecture 33 while Loops 11:59
Lecture 34 range() 11:25
Lecture 35 List Comprehensions 13:10
Lecture 36 Python Statements FAQ Text
Lecture 37 Statements Assessment Test 01:50
Lecture 38 Statements Assessment Solutions 02:24

Section 6: Methods and Functions

Lecture 39 Methods 06:14
Lecture 40 Functions 20:37
Lecture 41 lambda expressions 14:17
Lecture 42 Nested Statements and Scope 11:19
Lecture 43 Methods and Functions FAQ Text
Lecture 44 Functions and Methods - Homework Assignment 03:32
Lecture 45 Functions and Methods Homework - Solutions 04:09

Section 7: Milestone Project - 1

Lecture 46 Project Assignment Overview 03:18
Lecture 47 Project Solution 08:09

Section 8: Object Oriented Programming

Lecture 48 OOP - Part 1 - Objects 05:36
Lecture 49 OOP - Part 2 - Classes 16:08
Lecture 50 OOP - Part 3 -Methods 14:35
Lecture 51 OOP - Part 4 - Inheritance 06:47
Lecture 52 OOP - Part 5 - Special Methods 07:18
Lecture 53 OOP FAQ Text
Lecture 54 OOP Homework Assignment 02:25
Lecture 55 OOP Homework Solution 02:32

Section 9: Errors and Exceptions Handling

Lecture 56 Errors and Exceptions 04:03
Lecture 57 Exception Handling: try, except, finally 18:24
Lecture 58 Errors and Exception Handling FAQ Text
Lecture 59 Errors and Exceptions Homework 01:51
Lecture 60 Errors and Exceptions - Solutions 01:23

Section 10: Milestone Project - 2

Lecture 61 Project Overview 05:15
Lecture 62 Project 2 Solution 04:10

Section 11: Modules and Packages

Lecture 63 Modules, Packages, and Imports 10:27
Lecture 64 Modules and Packages Assignment 02:02
Lecture 65 Create your own Python modules. Text

Section 12: Built-in Functions

Lecture 66 Map 07:12
Lecture 67 Reduce 06:53
Lecture 68 Filter 04:14
Lecture 69 Zip 07:35
Lecture 70 Enumerate 05:01
Lecture 71 all() and any() 02:56
Lecture 72 Complex 02:26
Lecture 73 Built-in Functions Assessment Test 03:49
Lecture 74 Built-in Functions Assessment Test Solutions 02:14

Section 13: Python Decorators

Lecture 75 Decorators - Part 1 07:21
Lecture 76 Decorators - Part 2 08:03
Lecture 77 Decorators - Part 3 09:41
Lecture 78 Decorators Homework 02:05

Section 14: Python Generators

Lecture 79 Iteration vs Generation 02:42
Lecture 80 Creating Generators 11:49
Lecture 81 Iterators and Generators Homework 01:57
Lecture 82 Iterators and Generators Homework - Solutions 02:04

Section 15: Final Capstone Python Project

Lecture 83 Final Capstone Project 03:15

Section 16: Advanced Python Modules

Lecture 84 Collections Module - counter 05:49
Lecture 85 Collections Module - defaultdict 03:53
Lecture 86 Collections Module - OrderedDict 04:14
Lecture 87 Collections Module - namedtuple 05:52
Lecture 88 Datetime 08:10
Lecture 89 Python Debugger - pdb 05:01
Lecture 90 Timing your code - timeit 07:31
Lecture 91 Regular Expressions -re 19:52
Lecture 92 StringIO 02:17
Lecture 93 Advanced Python Modules FAQ Text

Section 17: Advanced Python Objects and Data Structures

Lecture 94 Advanced Numbers 04:33
Lecture 95 Advanced Strings 08:30
Lecture 96 Advanced Sets 11:25
Lecture 97 Advanced Dictionaries 05:02
Lecture 98 Advanced Lists 08:20
Lecture 99 Advanced Python Objects Assessment Test 01:46
Lecture 100 Advanced Python Objects Test - Solutions 01:10


Includes all code and quizzes. The links to "FAQs" don't work, so you will need to use search engines to find answers to frequently asked questions.


Average Rating: 4.9 (16 ratings)


Instructor Biography
Jose Portilla , Data Scientist

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and over 3 years experience as a teaching assistant for various engineering classes. He has publications and patents in various fields such as microfluidics and materials science. Over the course of his career he has developed a skill set in analyzing data, specifically using Python and a variety of modules and libraries. He hopes to use his experience in teaching and data science to help other people learn the power of the Python programming language and its ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as a Data Science consultant for U.S. companies.