CF

100 Days of Code: The Complete Python Pro Bootcamp

54h 16m 30s
English
Paid

100 Days of Code: The Complete Python Pro Bootcamp is a 414-lesson 54 hours 16 minutes self-paced course by Udemy. Welcome to the 100 Days of Code: The Complete Python Pro Bootcamp , the only course you need to learn to code with Python.

Course facts

Lessons
414
Duration
54 hours 16 minutes
Level
All levels
Language
English
Updated
Instructor
Udemy
Price
Premium

Welcome to the 100 Days of Code: The Complete Python Pro Bootcamp, the only course you need to learn to code with Python. With over 100,000 reviews and an average rating of 4.8, our courses are among the highest-rated in Udemy's history!

Dedicate 1 hour per day for 100 days, and you'll master Python by building 1 project each day.

Why Choose This Python Course?

At over 56 hours, this Python course is the most comprehensive available online. Whether you're a beginner with zero programming experience or looking to elevate your skills to a professional level, this course has you covered. Here's why:

  • This course is taught by the lead instructor at the App Brewery, London's best in-person programming bootcamp.

  • Updated for 2021, you'll learn the latest tools and technologies used by companies like Apple, Google, and Netflix.

  • No corners are cut, featuring beautiful animated explanation videos and numerous real-world projects like a Tinder auto swiper and Snake game.

  • Developed over two years with student feedback, ensuring a robust curriculum.

  • With over 600,000 students taught, many have transformed their careers by becoming professional developers or starting tech startups.

  • Enroll now to save over $12,000 and gain access to the same materials as our in-person bootcamp.

  • The course is constantly updated, incorporating new content, projects, and modules based on student input.

Course Structure and Content

We provide step-by-step guidance through engaging video tutorials, covering everything you need to succeed as a Python developer.

The course includes over 56 hours of HD video content that improves your programming skills through real-world Python projects.

Key Tools and Technologies Covered

This comprehensive course covers a wide range of tools and technologies, including:

  • Python 3
  • PyCharm, Jupyter Notebook, Google Colab
  • Python Scripting and Automation
  • Python Game Development
  • Web Scraping
  • Beautiful Soup
  • Selenium Web Driver
  • Request
  • WTForms
  • Data Science
  • Pandas, NumPy, Matplotlib, Plotly
  • Scikit learn, Seaborn
  • Turtle
  • Python GUI and Desktop App Development
  • Tkinter
  • Front-End Web Development (HTML 5, CSS 3, Bootstrap 4)
  • Bash Command Line
  • Git, GitHub, and Version Control
  • Backend Web Development with Flask
  • REST, APIs, Databases (SQL, SQLite, PostgreSQL)
  • Authentication and Web Design
  • Deployment with GitHub Pages, Heroku, and GUnicorn
  • ...and much more!

Build a Professional Portfolio

By the end of this course, you'll be proficient in Python, enabling you to secure a job or utilize the language professionally.

You'll also have a portfolio of 100 projects to impress potential employers, including:

  • Blackjack
  • Snake Game
  • Pong Game
  • Auto Swipe on Tinder
  • Auto Job Applications on LinkedIn
  • Automate Birthday Emails/SMS
  • Fully Fledged Blog Website
  • Build Your Own Public API
  • Data Science Projects with Google Trends
  • Analyzing Lego Datasets
  • Google App Store Analysis
  • ...and many more!

Who teaches 100 Days of Code: The Complete Python Pro Bootcamp? Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

What lessons are included in 100 Days of Code: The Complete Python Pro Bootcamp?

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#1: What you're going to get from this course
All Course Lessons (414)
#Lesson TitleDurationAccess
1
What you're going to get from this course Demo
03:28
2
START HERE
02:55
3
Downloadable Resources and Tips for Taking the Course
04:23
4
Day 1 Goals: what we will make by the end of the day
02:31
5
Printing to the Console in Python
09:30
6
How to Enrol for Free on Auditorium
10:13
7
[Interactive Coding Exercise] Printing
07:27
8
String Manipulation and Code Intelligence
09:47
9
[Interactive Coding Exercise] Debugging Practice
03:52
10
The Python Input Function
08:50
11
[Interactive Coding Exercise] Input Function
11:29
12
Python Variables
06:44
13
[Interactive Coding Exercise] Variables
03:01
14
Variable Naming
03:59
15
Day 1 Project: Band Name Generator
05:50
16
Congratulations! Well done!
00:53
17
Day 2 Goals: what we will make by the end of the day
01:47
18
Python Primitive Data Types
07:59
19
Type Error, Type Checking and Type Conversion
07:20
20
[Interactive Coding Exercise] Data Types
03:36
21
Mathematical Operations in Python
08:28
22
[Interactive Coding Exercise] BMI Calculator
06:15
23
Number Manipulation and F Strings in Python
08:11
24
[Interactive Coding Exercise] Life in Weeks
03:32
25
Day 2 Project: Tip Calculator
18:21
26
You are already in the top 50%
00:30
27
Day 3 Goals: what we will make by the end of the day
01:23
28
Control Flow with if / else and Conditional Operators
10:25
29
[Interactive Coding Exercise] Odd or Even? Introducing the Modulo
04:34
30
Nested if statements and elif statements
06:29
31
[Interactive Coding Exercise] BMI 2.0
04:34
32
[Interactive Coding Exercise] Leap Year
08:00
33
Multiple If Statements in Succession
09:30
34
[Interactive Coding Exercise] Pizza Order Practice
04:14
35
Logical Operators
05:59
36
[Interactive Coding Exercise] Love Calculator
07:45
37
Day 3 Project: Treasure Island
18:13
38
Share and Show off your Project!
00:44
39
Day 4 Goals: what we will make by the end of the day
01:32
40
Random Module
13:46
41
[Interactive Coding Exercise] Heads or Tails
01:32
42
Understanding the Offset and Appending Items to Lists
13:15
43
[Interactive Coding Exercise] Banker Roulette - Who will pay the bill?
03:03
44
IndexErrors and Working with Nested Lists
05:26
45
[Interactive Coding Exercise] Treasure Map
06:02
46
Day 4 Project: Rock Paper Scissors
21:28
47
Programming is like going to the Gym
01:05
48
Day 5 Goals: what we will make by the end of the day
03:14
49
Using the for loop with Python Lists
07:33
50
[Interactive Coding Exercise] Average Height
03:48
51
[Interactive Coding Exercise] High Score
02:48
52
for loops and the range() function
05:22
53
[Interactive Coding Exercise] Adding Even Numbers
05:58
54
[Interactive Coding Exercise] The FizzBuzz Job Interview Question
04:29
55
Day 5 Project: Create a Password Generator
16:11
56
Hard Work and Perseverance beats Raw Talent Every Time
01:09
57
Day 6 Goals: what we will make by the end of the day
01:02
58
Defining and Calling Python Functions
15:51
59
The Hurdles Loop Challenge
10:39
60
Indentation in Python
09:15
61
While Loops
12:43
62
Hurdles Challenge using While Loops
06:58
63
Jumping over Hurdles with Variable Heights
08:13
64
Final Project: Escaping the Maze
16:42
65
Why is this *so* Hard?! Can I really do this?
01:26
66
Day 7 Goals: what we will make by the end of the day
02:00
67
How to break a Complex Problem down into a Flow Chart
05:14
68
Challenge 1 - Picking a Random Words and Checking Answers
02:06
69
Challenge 1 Solution - How to Check the User's Answer
06:46
70
Challenge 2 - Replacing Blanks with Guesses
02:56
71
Challenge 2 Solution - How to Replace the Blanks
10:48
72
Challenge 3 - Checking if the Player has Won
03:26
73
Challenge 3 Solution - How to Check if the Player Won
03:52
74
Challenge 4 - Keeping Track of the Player's Lives
02:17
75
Challenge 4 Solution - How to Keep Track of the Player's Lives
05:48
76
Challenge 5 - Improving the User Experience
04:24
77
Challenge 5 Solution - How to Add ASCII Art and Improve the UI
06:34
78
The Benefits of Daily Practice
01:13
79
Day 8 Goals: what we will make by the end of the day
02:16
80
Functions with Inputs
09:33
81
Positional vs. Keyword Arguments
08:52
82
[Interactive Coding Exercise] Paint Area Calculator
04:48
83
[Interactive Coding Exercise] Prime Number Checker
04:16
84
Caesar Cipher Part 1 - Encryption
14:42
85
Caesar Cipher Part 2 - Decryption
06:30
86
Caesar Cipher Part 3 - Reorganising our Code
10:37
87
Caesar Cipher Part 4 - User Experience Improvements & Final Touches
13:24
88
How You Can *Stay* Motivated
01:07
89
Day 9 Goals: what we will make by the end of the day
02:30
90
The Python Dictionary: Deep Dive
14:14
91
[Interactive Coding Exercise] Grading Program
03:54
92
Nesting Lists and Dictionaries
09:56
93
[Interactive Coding Exercise] Dictionary in List
03:52
94
The Secret Auction Program Instructions and Flow Chart
04:30
95
Solution and Complete Code for the Secret Auction Program
18:14
96
Motivation and the Accountability Trick
01:03
97
Day 10 Goals: what we will make by the end of the day
01:35
98
Functions with Outputs
12:58
99
Multiple return values
03:32
100
[Interactive Coding Exercise] Days in Month
06:17
101
Docstrings
03:43
102
Calculator Part 1: Combining Dictionaries and Functions
08:44
103
Print vs. Return
04:38
104
While Loops, Flags and Recursion
07:50
105
Calculator Finishing Touches and Bug Fixes
03:48
106
How to Get a Good Night's Sleep
01:33
107
Day 11 Goals: what we will make by the end of the day
02:16
108
Blackjack Program Requirements and Game Rules
08:35
109
Hint 4 & 5 Solution Walkthrough
06:50
110
Hint 6-8 Solution Walkthrough
05:07
111
Hint 9 Solution Walkthrough: Refactoring and calling calculate_score()
05:09
112
Hint 10-12 Solution Walkthrough
05:25
113
Hint 13 Solution Walkthrough
08:44
114
A Solid Foundation goes a Long Way
01:39
115
Namespaces: Local vs. Global Scope
07:52
116
Does Python Have Block Scope?
02:51
117
How to Modify a Global Variable
04:44
118
Python Constants and Global Scope
01:47
119
Introducing the Final Project: The Number Guessing Game
04:59
120
Solution & Walkthrough to the Number Guessing Game
23:42
121
Don't be too hard on yourself
00:45
122
Describe the Problem
04:52
123
Reproduce the Bug
03:35
124
Play Computer and Evaluate Each Line
03:52
125
Fixing Errors and Watching for Red Underlines
03:30
126
Squash bugs with a print() Statement
04:40
127
Bringing out the BIG Gun: Using a Debugger
05:53
128
Final Debugging Tips
05:10
129
[Interactive Coding Exercise] Debugging Odd or Even
02:01
130
[Interactive Coding Exercise] Debugging Leap Year
01:12
131
[Interactive Coding Exercise] Debugging FizzBuzz
04:13
132
Building Confidence
01:02
133
Introduction & Program Requirements for the Higher Lower Game
07:38
134
Solution & Walkthrough of the Higher Lower Game
30:32
135
Study Tip: Set Reminders in Your Calendar to Review
01:09
136
Installing Python Locally on Your Computer
04:39
137
Download PyCharm for Windows or Mac
02:00
138
PyCharm's Charming Features (while you wait for the download to finish)
13:05
139
How to Install PyCharm on Windows
02:39
140
Installing PyCharm on Mac
02:54
141
Introduction & Requirements for the Coffee Machine Project
10:36
142
Solution & Walkthrough for the Coffee Machine Code
28:59
143
Location, Location, Location - Pavlov's Coding Corner
01:09
144
Why do we need OOP and how does it work?
07:22
145
How to use OOP: Classes and Objects
04:10
146
Constructing Objects and Accessing their Attributes and Methods
15:57
147
How to Add Python Packages and use PyPi
05:57
148
Practice Modifying Object Attributes and Calling Methods
08:30
149
Building the Coffee Machine in OOP
07:12
150
Walkthrough and Solution for the OOP Coffee Machine
15:22
151
Don't forget to review occasionally
00:57
152
Day 17 Goals: what we will make by the end of the day
01:09
153
How to create your own Class in Python
04:45
154
Working with Attributes, Class Constructors and the __init__() Function
11:10
155
Adding Methods to a Class
04:27
156
Quiz Project Part 1: Creating the Question Class
05:48
157
Quiz Project Part 2: Creating the List of Question Objects from the Data
07:50
158
Quiz Project Part 3: The QuizBrain and the next_question() Method
07:52
159
Quiz Project Part 4: How to continue showing new Questions
04:47
160
Quiz Project Part 5: Checking Answers and Keeping Score
08:09
161
The Benefits of OOP: Use Open Trivia DB to Get New Questions
05:36
162
Run for that Bus!
01:20
163
Day 18 Goals: what we will make by the end of the day
01:04
164
Understanding Turtle Graphics and How to use the Documentation
09:57
165
Turtle Challenge 1 - Draw a Square
02:29
166
Importing Modules, Installing Packages, and Working with Aliases
12:29
167
Turtle Challenge 2 - Draw a Dashed Line
03:01
168
Turtle Challenge 3 - Drawing Different Shapes
06:44
169
Turtle Challenge 4 - Generate a Random Walk
07:22
170
Python Tuples and How to Generate Random RGB Colours
07:43
171
Turtle Challenge 5 - Draw a Spirograph
09:27
172
The Hirst Painting Project Part 1 - How to Extract RGB Values from Images
13:51
173
The Hirst Painting Project Part 2 - Drawing the Dots
12:25
174
Space out your study sessions and stay consistent
01:37
175
Day 19 Goals: what we will make by the end of the day
01:49
176
Python Higher Order Functions & Event Listeners
07:14
177
Challenge: Make an Etch-A-Sketch App
07:28
178
Object State and Instances
03:26
179
Understanding the Turtle Coordinate System
13:15
180
Aaaand, we're off to the races!
10:03
181
Expand on the Solutions
01:48
182
Day 20 Goals: what we will make by the end of the day
04:40
183
Screen Setup and Creating a Snake Body
08:00
184
Animating the Snake Segments on Screen
17:20
185
Create a Snake Class & Move to OOP
07:27
186
How to Control the Snake with a Keypress
10:55
187
Programming is not Memorising
02:15
188
Day 21 Goals: what we will make by the end of the day
01:07
189
Class Inheritance
06:48
190
Detect Collisions with Food
11:49
191
Create a Scoreboard and Keep Score
10:22
192
Detect Collisions with the Wall
03:53
193
Detect Collisions with your own Tail
06:20
194
How to Slice Lists & Tuples in Python
07:41
195
Stay motivated by remembering the reason you signed up
01:44
196
Day 22 Goals: what you will make by the end of the day
03:46
197
Set up the Main Screen
01:44
198
Create a Paddle that responds to Key Presses
06:22
199
Write the Paddle Class and Create the Second Paddle
07:38
200
Write the Ball Class and Make the Ball Move
04:45
201
Add the Ball Bouncing Logic
07:02
202
How to Detect Collisions with the Paddle
06:17
203
How to Detect when the Ball goes Out of Bounds
04:03
204
Score Keeping and Changing the Ball Speed
09:26
205
Picturing fears: even the worst-case scenario is not so scary
01:42
206
Day 23 Goals: what you will make by the end of the day
01:28
207
How to use the Starter Code
03:30
208
Solution to Step 3 - Create the Player Behaviour
04:44
209
Solution to Step 4 - Create the Car Behaviour
09:14
210
Solution to Step 5 - Detect when the Turtle collides with a Car *squish*
02:30
211
Solution to Step 6 - Detect when the Player has reached the other side
04:29
212
Solution to Step 7 - Add the Scoreboard and Game Over sequence
07:53
213
This course is not about typing out code
01:45
214
Day 24 Goals: what you will make by the end of the day
02:09
215
Add a High Score to the Snake Game
10:46
216
How to Open, Read, and Write to Files using the "with" Keyword
09:33
217
Challenge: Read and Write the High Score to a File in Snake
06:03
218
Understand Relative and Absolute File Paths
15:27
219
Introducing the Mail Merge Challenge
04:46
220
Solution & Walkthrough for the Mail Merge Project
11:29
221
What's the correct solution? What's the best answer? What's the right way?
02:59
222
Day 25 Goals: what we will make by the end of the day
01:52
223
Reading CSV Data in Python
13:21
224
DataFrames & Series: Working with Rows & Columns
17:21
225
The Great Squirrel Census Data Analysis (with Pandas!)
09:53
226
U.S. States Game Part 1: Setup
10:19
227
U.S. States Game Part 2: Challenge with .csv
17:03
228
U.S. States Game Part 3: Saving Data to .csv
05:27
229
Day 26 Goals: what you will make by the end of the day
01:25
230
How to Create Lists using List Comprehension
15:50
231
[Interactive Coding Exercise] Squaring Numbers
02:18
232
[Interactive Coding Exercise] Filtering Even Numbers
03:22
233
[Interactive Coding Exercise] Data Overlap
05:44
234
Apply List Comprehension to the U.S. States Game
02:43
235
How to use Dictionary Comprehension
08:56
236
[Interactive Coding Exercise] Dictionary Comprehension 1
04:20
237
[Interactive Coding Exercise] Dictionary Comprehension 2
05:14
238
How to Iterate over a Pandas DataFrame
04:57
239
Introducing the NATO Alphabet Project
05:30
240
Solution & Walkthrough for the NATO Alphabet Project
05:54
241
Day 27 Goals: what we will make by the end of the day
02:05
242
History of GUI and Introduction to Tkinter
05:23
243
Creating Windows and Labels with Tkinter
09:35
244
Setting Default Values for Optional Arguments inside a Function Header
05:44
245
*args: Many Positional Arguments
05:59
246
**kwargs: Many Keyword Arguments
09:51
247
Buttons, Entry, and Setting Component Options
09:49
248
Other Tkinter Widgets: Radiobuttons, Scales, Checkbuttons and more
07:20
249
Tkinter Layout Managers: pack(), place() and grid()
11:05
250
Mile to Kilometers Converter Project
11:11
251
Day 28 Goals: what we will make by the end of the day
02:42
252
How to work with the Canvas Widget and Add Images to Tkinter
15:11
253
Challenge - Complete the Application's User Interface (UI)
08:46
254
Add a Count Down Mechanism
17:47
255
Dynamic Typing Explained
06:59
256
Setting Different Timer Sessions and Values
08:01
257
Adding Checkmarks and Resetting the Application
09:51
258
Day 29 Goals: what we will make by the end of the day
03:33
259
Challenge 1 - Working with Images and Setting up the Canvas
05:04
260
Challenge 2 - Use grid() and columnspan to Complete the User Interface
04:55
261
Solution to the Creating the Grid Layout
06:37
262
Challenge 3 - Saving Data to File
13:26
263
Dialog Boxes and Pop-Ups in Tkinter
09:10
264
Generate a Password & Copy it to the Clipboard
12:48
265
Day 30 Goals: what you will make by the end of the day
01:42
266
Catching Exceptions: The try catch except finally Pattern
15:33
267
Raising your own Exceptions
04:15
268
[Interactive Coding Exercise] IndexError Handling
04:29
269
[Interactive Coding Exercise] KeyError Handling
03:49
270
Code Exercise: Exception Handling in the NATO Phonetic Alphabet Project
06:32
271
Write, read and update JSON data in the Password Manager
13:21
272
Challenge 1 - Handling Exceptions in the Password Manager
06:20
273
Challenge 2 - Search for a Website in the Password Manager
17:57
274
Day 31 Goals: what you will make by the end of the day
10:07
275
Solution & Walkthrough for Creating the UI
11:49
276
Solution & Walkthrough for Creating New Flash Cards
08:08
277
Solution & Walkthrough for Flipping Cards
08:55
278
Solution & Walkthrough for Saving Progress
09:32
279
Day 32 Goals: what we will make by the end of the day
02:32
280
How to Send Emails with Python using SMTP
14:43
281
Working with the datetime Module
06:13
282
Challenge 1 - Send Motivational Quotes on Mondays via Email
08:38
283
Automated Birthday Wisher Project Challenge
05:41
284
Solution & Walkthrough for the Automated Birthday Wisher
17:29
285
Run Your Python Code in the Cloud!
06:11
286
Day 33 Goals: what you will make by the end of the day
01:06
287
What are Application Programming Interfaces (APIs)?
04:08
288
API Endpoints and Making API Calls
07:44
289
Working with Responses: HTTP Codes, Exceptions & JSON Data
08:57
290
Challenge - Build a Kanye Quotes App using the Kanye Rest API
04:41
291
Understand API Parameters: Match Sunset Times with the Current Time
15:09
292
ISS Overhead Notifier Project - Challenge & Solution
10:07
293
Day 34 Goals: what you will make by the end of the day
02:20
294
Trivia Question API Challenge
05:49
295
Solution & Walkthrough for getting Trivia Questions
03:34
296
Unescaping HTML Entities
04:03
297
Class based Tkinter UI
14:29
298
Python Typing & Showing the Next Question in the GUI
06:57
299
Python Typing: Type Hints and Arrows ->
05:14
300
Check the Answer
03:35
301
Give Feedback to the Player, Keep Score and Fix the Bugs =)
08:39
302
Day 35 Goals: what you will make by the end of the day
01:36
303
What is API Authentication and Why Do We Need to Authenticate Ourselves?
04:29
304
Using API Keys to Authenticate and Get the Weather from OpenWeatherMap
13:34
305
Challenge - Check if it Will Rain in the Next 12 Hours
16:18
306
Sending SMS via the Twilio API
09:12
307
Use PythonAnywhere to Automate the Python Script
07:37
308
Understanding Environment Variables and Hiding API Keys
10:14
309
Day 36 Goals: what you will make by the end of the day
09:31
310
Solution & Walkthrough for Step 1 - Check for Stock Price Movements
15:16
311
Solution & Walkthrough for Step 2 - Get the News Articles
06:49
312
Solution & Walkthrough for Step 3 - Send the SMS Messages
08:18
313
Day 37 Goals: what you will make by the end of the day
02:46
314
HTTP Post Requests
08:22
315
Advanced Authentication using an HTTP Header
10:53
316
Challenge: Add a Pixel to the Habit Tracker using a Post Request
05:56
317
Autofilling today's date using strftime
04:19
318
How to use HTTP Put and Delete Requests
06:35
319
Day 38 Goals: what you will make by the end of the day
03:38
320
Day 39 Goals: what you will make by the end of the day
04:38
321
Day 40 Goals: what you will make by the end of the day
02:54
322
How Does the Internet Actually Work?
06:06
323
How Do Websites Actually Work?
06:21
324
What is HTML?
04:19
325
HTML Heading Elements
14:25
326
HTML Paragraph Elements
08:42
327
Self Closing Tags
11:42
328
Day 41 Project - Movie Ranking
05:44
329
HTML Boilerplate
12:54
330
The List Element
10:33
331
Nesting and Indentation
14:10
332
Anchor Elements
10:46
333
Image Elements
08:18
334
Day 42 Project - Birthday Invite Website
04:02
335
Why do we need CSS?
08:45
336
How to add CSS
15:21
337
CSS Selectors
22:57
338
Day 43 Project - Colour Vocab Website
09:09
339
CSS Colours
07:06
340
Font Properties
21:27
341
Inspecting CSS
11:53
342
The CSS Box Model - Margin, Padding and Border
20:47
343
Day 44 Project - Motivational Poster Website
07:38
344
Day 45 Goals: what you will make by the end of the day
02:27
345
Parsing HTML and Making Soup
10:04
346
Finding and Selecting Particular Elements with BeautifulSoup
11:52
347
Scraping a Live Website
17:11
348
Is Web Scraping Legal?
11:26
349
100 Movies that You Must Watch
11:07
350
Day 46 Goals: what you will make by the end of the day
04:12
351
Day 47 Goals: what you will make by the end of the day
05:32
352
Day 48 Goals: what you will make by the end of the day
02:51
353
How to Install & Set Up Selenium
06:54
354
How to Find and Select Elements on a Website with Selenium
16:21
355
Challenge: Use Selenium to Scrape Website Data
08:17
356
Challenge: Use Selenium in a Blank Project & Scrape a Different Piece of Data
04:23
357
How to Automate Filling Out Forms and Clicking Buttons with Selenium
10:41
358
The Cookie Clicker Project
03:39
359
Day 49 Goals: what you will make by the end of the day
03:13
360
Day 50 Goals: what you will make by the end of the day
06:44
361
Day 51 Goals: what you will make by the end of the day
05:40
362
Day 52 Goals: what you will make by the end of the day
03:28
363
Day 53 Goals: what you will make by the end of the day
07:38
364
Understanding Backend Web Development with Python
07:57
365
Create your First Web Server with Flask
12:32
366
Understand the Command Line on Windows and Mac
13:11
367
__name__ and __main__ : Special Attributes built into Python
03:59
368
Python Functions as First Class Objects: Passing & Nesting Functions
09:57
369
Understanding Python Decorator Functions and the @ Syntax
09:08
370
[Interactive Coding Exercise] Create your own Python Decorator
03:49
371
Day 55 Goals: what you will make by the end of the day
01:33
372
Working Flask URL Paths and the Flask Debugger
13:20
373
Rendering HTML Elements with Flask
06:57
374
Challenge: Use Python Decorators to Style HTML Tags
03:00
375
Advanced Decorators with *args and **kwargs
07:13
376
[Interactive Coding Exercise] Advanced Decorators
03:24
377
Day 56 Goals: what you will make by the end of the day
01:20
378
Rendering HTML Files with Flask
09:06
379
Serving Static Files using Flask
08:58
380
How to Use Website Templates to Speed Up Web Development
12:45
381
Solution and Walkthrough for the Name Card Final Project
07:36
382
Day 57 Goals: what you will make by the end of the day
01:49
383
Using Jinja to Produce Dynamic HTML Pages
11:32
384
Challenge: Combining Jinja Templating with APIs
11:54
385
Multiline Statements with Jinja
07:23
386
URL Building with Flask
04:39
387
What is Bootstrap?
15:36
388
Bootstrap Layout
21:15
389
Bootstrap Components
31:40
390
Day 58 Project - A Startup Website for TinDog
31:23
391
Introduction to Web Design
03:56
392
Understanding Color Theory
09:05
393
Understanding Typography and How to Choose Fonts
10:29
394
Manage ATTENTION with effective User Interface (UI) Design
10:28
395
User Experience (UX) Design
13:40
396
Web Design in Practice - Let's apply what we've learnt!
18:21
397
What is REST?
13:23
398
HTTP PUT vs. PATCH
01:45
399
What is Authentication?
03:39
400
Encryption and Hashing
15:20
401
How to Hack Passwords 101
12:29
402
Salting Passwords
07:11
403
Install Git Bash on Windows
02:31
404
Introduction to Version Control and Git
02:00
405
Version Control using Git and the Command Line
14:19
406
Github and Remote Repositories
10:23
407
Gitignore
11:07
408
Cloning
08:56
409
Branching and Merging
10:30
410
Forking and Pull Requests
15:19
411
Day 71 Goals - Learn to Deploy Your Website
01:33
412
Where are the Videos and the Solution Code?
02:45
413
Recording of our Live AMA (aka AAA - Ask Angela Anything)
59:53
414
Study With Me
01:41:24
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Frequently asked questions

What are the prerequisites for enrolling in this Python course?
This course is designed for all levels. Whether you have zero programming experience or are looking to elevate your skills to a professional level, you can enroll. The course starts with basic concepts like printing to the console and progresses to more advanced topics. No prior knowledge of Python is required, but dedication to spend about 1 hour each day for 100 days is necessary.
What projects will I build during the course?
The course includes 100 projects, one for each day. Examples from the early stages include a Band Name Generator, Tip Calculator, and Treasure Island game. These projects are designed to reinforce daily lessons and help you apply concepts like string manipulation, control flow, and data types through practical coding exercises.
Who is the target audience for this Python course?
The course is suitable for beginners with no prior programming experience, as well as those who want to advance their Python skills to a professional level. It's particularly beneficial for individuals aiming to start a career in tech, become developers, or even launch tech startups. The structured approach of one project per day ensures consistent progress.
How does the depth of this course compare to other Python courses?
With over 56 hours of content and 414 lessons, this course is one of the most comprehensive Python courses available online. It covers a broad range of topics from basic programming concepts to advanced tools used by companies like Apple and Google. The curriculum is updated regularly based on student feedback, maintaining its depth and relevance.
Does the course cover web development or data science tools?
While the course provides a solid foundation in Python, specific topics like web development frameworks (e.g., Django, Flask) or data science libraries (e.g., Pandas, NumPy) are not explicitly mentioned in the first 60 lessons. The focus is on building a strong understanding of Python through various projects and exercises.
What is the estimated time commitment for completing the course?
The course is structured to be completed over 100 days, with a recommended time commitment of 1 hour per day. This structure facilitates steady learning and retention of concepts, allowing students to build a new project each day while mastering Python.
How can the skills learned in this course be applied to other areas or careers?
The skills acquired in this Python course are foundational for many areas in tech. Understanding Python is essential for careers in software development, data analysis, and automation. The logical and problem-solving skills developed can also be applied to learning other programming languages and frameworks, contributing to career advancement in the tech industry.