Udemy - Learn Python - The Complete Python Programming Course

Learn Python: The Complete Python Programming Course
15 Hours | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 44.1KHz 2ch | 2.71GB
Genre: Video Tutorial | Language: English



Learn A-Z everything about Python, from the basics, to advanced topics like Python GUI, Python Data Analysis, and more!

Do you want to become a programmer? Is coding your new passion?

Do you want to be able to create games, parse the web and much more?

If you need a quick brush-up, or learning Python for the first time, you've come to the right place!

Let's get started learning one of the most easiest coding languages out there right now. There's no need to fret if you haven't coded before. By the time you finish this course, you'll be a pro at Python!

Python is a great and friendly language to use and learn. It fun, and can be adapted to both small and large projects. Python will cut your development time greatly and overall, its much faster to write Python than other languages. This course will be a quick way to understand all the major concepts of Python programming. You'll be a whiz in no time.

This course is a one-stop-shop for everything you'll need to know to get started with Python, along with a few incentives. We'll begin with the basics of Python, learning about strings, variables, and getting to know the data types. We'll soon move on to the loops and conditions in Python. Once we're done with that, we'll learn about functions and modules used in Python. After that we'll start to crawl the web for data like Stocks, and last but not least create some epic games in Python, using advanced code.

I hope you're excited to dive into the World of Python with this course. Well, what are you waiting for? Let's get started!
What are the requirements?

Macintosh (OSX)/ Windows(Vista and higher) Machine
Internet Connection

What am I going to get from this course?

Over 148 lectures and 15 hours of content!
Create their own Python Programs
Become an experienced Python Programmer
Parse the Web and Create their own Games

What is the target audience?

Even if you haven't touched coding before, it won't matter. The easy step-to-step lectures will quickly guide you through everything you'll need to know about coding, mainly Python. This course is here for you to get accustomed and familiar with Python and its syntax. And above all, Python is one of the easiest coding languages to learn, and there's a lot you can do with it.


Curriculum

Section 1: Up and Running With Python

Lecture 1 Welcome! 02:29
Lecture 2 Installing Python 04:07
Lecture 3 Hello World 01:37

Section 2: The Basics (Data Types)

Lecture 4 Variables 03:01
Lecture 5 Multiple Assignment 03:44
Lecture 6 Data Types and Ints 03:57
Lecture 7 Strings 07:26
Lecture 8 Placeholders 03:49
Lecture 9 Lists/Arrays 06:03
Lecture 10 List Functions 07:18
Lecture 11 Dictionaries 06:54
Lecture 12 Dictionary Functions 05:33
Lecture 13 Tuples 05:01
Lecture 14 Exercise Files 2 pages

Section 3: Conditions and Loops

Lecture 15 If-Else Statements 03:18
Lecture 16 Relational Operators 05:57
Lecture 17 Nested If/Else 04:23
Lecture 18 Elif Statements 03:33
Lecture 19 Logical Operators 03:58
Lecture 20 For Loops 07:22
Lecture 21 While Loops 03:35
Lecture 22 Nested For Loops 03:41
Lecture 23 Prime Number Generator 08:43
Lecture 24 Pass, Break and Continue 07:44
Lecture 25 Try and Except 02:51
Lecture 26 Commenting 03:53
Lecture 27 Quick Tips 06:26
Lecture 28 Exercise Files 1 page

Section 4: Functions!

Lecture 29 Creating our own Functions 04:45
Lecture 30 Global and Local Vars 02:46
Lecture 31 Abs and Bool 03:55
Lecture 32 Help and Dir 03:37
Lecture 33 Eval and Exec 03:11
Lecture 34 Str, Int, Float 03:33
Lecture 35 Recap and Sum 04:31

Section 5: Classes! (Object Orientated Programming)

Lecture 36 Basics of Classes 07:33
Lecture 37 Functions in Classes 04:06
Lecture 38 Class Attributes 06:19
Lecture 39 Inheritance 07:11
Lecture 40 Overriding Methods 02:54

Section 6: File Input/Output

Lecture 41 Creating a File 03:15
Lecture 42 Creating a File (Windows) Text
Lecture 43 Reading a File 08:20
Lecture 44 Writing to a File 03:39
Lecture 45 Appending to Files 04:49
Lecture 46 Copying Files 04:31

Section 7: Using Python Modules

Lecture 47 Random Module - Randint 02:35
Lecture 48 Guessing Game 09:32
Lecture 49 Guessing Game Challenge 1 page
Lecture 50 Random Module - Shuffle and Choice 04:08
Lecture 51 Sys Module 05:36
Lecture 52 Time Module 12:00
Lecture 53 Turtle Module 04:20
Lecture 54 For Loops in Turtle 04:22
Lecture 55 Up and Down Functions 03:38
Lecture 56 Coloring in Turtle 08:28
Lecture 57 Functions in Turtle 04:06
Lecture 58 Exercise Files 3 pages

Section 8: Crawling The Web

Lecture 59 Re Module 09:29
Lecture 60 Crawling The Web (Stocks) 17:14
Lecture 61 Stock Quotes (.py) 1 page
Lecture 62 Crawling The Web (Weather) 13:01
Lecture 63 Weather (.py) 1 page
Lecture 64 Crawling The Web (Definition) 12:02
Lecture 65 Definition (.py) 1 page

Section 9: Beautiful Soup HTML Parsing

Lecture 66 Intro to Beautiful Soup 01:38
Lecture 67 Installing the Beautiful Soup Module 09:21
Lecture 68 Prettify with Soup 05:44
Lecture 69 Drilling Down 07:57
Lecture 70 Functions in Soup 05:44
Lecture 71 .String and .Parent 03:55
Lecture 72 Searching in Soup 08:53
Lecture 73 Weather Parsing 11:01
Lecture 74 Antonym Parsing 06:53

Section 10: MatPlotLib - Charts, Plots and 3D Figures!

Lecture 75 Intro to MatPlotLib 03:27
Lecture 76 First Graph! 04:52
Lecture 77 Understanding the MatPlotLib Interface 03:45
Lecture 78 Graph Labels 05:18
Lecture 79 Creating a Graph from a File 10:08
Lecture 80 Understanding SubPlots and Figures 07:42
Lecture 81 Coloring of Graph 06:42
Lecture 82 Multiple Plots in a Graph 04:10
Lecture 83 Multiple Graphs in a Figure 04:19
Lecture 84 What about 3 graphs? 06:19
Lecture 85 Bar Graphs Intro 04:18
Lecture 86 Modifying our Bar Graph 07:13
Lecture 87 Pie Chart Intro 02:42
Lecture 88 Modifying our Pie Chart 03:49
Lecture 89 Adding a Legend 03:25
Lecture 90 3D Graphics Intro 07:09
Lecture 91 3D Scatter Plots 05:03
Lecture 92 Multiple 3D Scatter Plots 02:46
Lecture 93 3D Bar Graphs 09:56
Lecture 94 3D Wireframes 05:32

Section 11: Data Analysis with Pandas!

Lecture 95 Intro to Pandas 01:58
Lecture 96 Series Data Structure 08:59
Lecture 97 Series Continuation 07:56
Lecture 98 Data Frames Intro 08:30
Lecture 99 Creating a CSV 02:20
Lecture 100 Reading a CSV 05:44


This copy has all the exercise files.

Instructor Biography
Avinash Jain , Programmer, Instructor, Student

Hi there. I'm Avinash Jain, an avid programmer. My interest in coding began with HTML/CSS. I worked my way up the ladder, and created my photography website. After mastering Web Design, I moved on to Python, rapidly picking it up. I've always had a passion to learn, picking up Photography, Basketball, and Reading along the way. I love to teach others how to do the things I've learned, and have devoted most of my time to teaching others, thus creating my Udemy Courses.

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