Python Mega Course: Learn Python in 60 Days, Build 20 Apps

51h 19m 24s
English
Paid

In this intensive 60-day course, you will go from a complete beginner with no programming experience to a skilled Python developer capable of creating real applications and applying for entry-level positions in the IT industry. The curriculum, based on practical projects, will allow you to acquire the practical skills and experience that employers are looking for.

"Mega Course on Python" is designed to provide a practical, immersive learning experience. You will gain hands-on skills by creating 20 diverse applications, ranging from simple scripts to complex web applications. Each project is crafted to teach you essential programming concepts, best practices, and problem-solving methods necessary in a professional environment.

Below are the 20 applications that you will create during the course. The curriculum is designed for 60 days, but you can work through the material at your own pace:

  1. A "To-do" application (both a desktop GUI and a web application), covering all the basics of Python
  2. A website for showcasing projects, built with Python, for publishing your Python projects
  3. Task automation: creating PDF receipts with Python
  4. Extracting data from Excel and generating reports
  5. Automatic daily news email dispatch using Python
  6. Creating an API that provides historical weather data
  7. A weather forecast data dashboard
  8. Natural Language Processing (NLP) for e-books
  9. A webcam monitoring application with email alerts
  10. Web scraping sites
  11. A hotel booking application using Object-Oriented Programming (OOP) in Python
  12. Understanding programs written by others: studying the code of the Mario game
  13. A student management system - desktop application with GUI, SQLite, and PyQt
  14. A student management system - desktop application with GUI, MySQL, and PyQt
  15. An intelligent chatbot using ChatGPT and PyQt
  16. A job application web application with Flask
  17. A job application web application with Django
  18. A restaurant kitchen web application
  19. A movie recommendation system
  20. Creating and publishing a third-party Python package

These 20 applications have been carefully selected to cover all major areas of Python, including the basics of Python, task automation, data analysis and visualization, APIs, SQL databases, object-oriented programming, desktop GUIs, web development, data science and machine learning, as well as third-party package development using Python.

Additional benefits of the course:

Comprehensive learning:

This course covers both the theoretical foundations and practical aspects of programming in Python. You will gain a deep understanding of Python concepts and immediately apply them to create 20 practical applications. The course includes everything from basic syntax to advanced topics such as web development, data analysis, and machine learning.

Hands-on experience:

Learning by doing is the core principle of this course. You will start coding from day one, creating real-world applications alongside the instructor. With each project, you will strengthen your skills, experiment with different techniques, and build confidence in writing code independently.

Portfolio creation:

As you progress through the course, you will create an impressive portfolio of 20 Python applications, hosted on your GitHub account. This portfolio will serve as proof of your programming skills, showcasing your abilities to potential employers or clients.

Multimodal learning approach:

Our proven multimodal learning approach ensures complete mastery of Python concepts. You will benefit from video lectures, hands-on exercises, code reviews, quizzes, and independent projects. This comprehensive approach caters to different learning styles and ensures thorough understanding and retention of the material.

Career preparation:

Whether you want to change careers or advance to a new level in your current role, this course will prepare you for success. You will develop the skills necessary to confidently apply for junior developer positions. Additionally, you will learn important tools like Git and GitHub, which are essential for collaborating with other developers and showcasing your work to potential employers.

About the Author: udemy

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#1: Welcome to Module 1
All Course Lessons (368)
#Lesson TitleDurationAccess
1
Welcome to Module 1 Demo
04:59
2
The Four Types of Computer Programs
03:26
3
Today's Goals #print #variables #functions #lists
01:08
4
Installing Python and PyCharm
11:19
5
Create and Run Your First Python Program #print #strings
07:55
6
Getting User Input #input #variables
10:20
7
Storing User Input #lists
07:45
8
Coding Experiments
07:56
9
Bonus Example
04:30
10
Programming Tool/Concept of the Day: The Python Console
06:21
11
Recap of Yesterday
01:34
12
Getting User Input Repeatedly #while-loop
06:35
13
Storing User Input Repeatedly #methods
09:36
14
Coding Experiments
06:04
15
Bonus Example
07:37
16
Programming Tool/Concept of the Day: How to Find the Code You Need
08:47
17
Recap of Yesterday
01:07
18
Todo List View and Program Exit #match-case
07:20
19
Improving the Program Output #for-loops
06:30
20
Code Experiments
06:46
21
Bonus Example
04:08
22
Programming Tool/Concept of the Day: What Surprisingly is Python
03:38
23
Recap of Yesterday
01:44
24
Add an "Edit" Feature #type-conversion #list-indexing
15:05
25
Coding Experiments
12:00
26
Bonus Example #tuples
13:13
27
Programming Tool/Concep of the Day: Text Editors, Code Editors, IDE, PyCharm
15:24
28
Recap of Yesterday
01:52
29
Numbered Todos #enumerate
04:45
30
Improving the Program Output в–¶пёЏ #f-strings #formatting-strings
03:39
31
Add a "Complete Todo" Feature
09:11
32
Code Experiments
10:27
33
Bonus Example
06:20
34
Programming Tool/Concept of the Day: How to Ask Good Programming Questions
09:50
35
Recap of Yesterday
02:41
36
Storing Items in Text Files #text-files #read #write #writelines #readlines
19:42
37
Getting Todo Items from Text Files #read-text-files
03:58
38
How Data Types are Created #types
03:05
39
Code Experiments
09:19
40
Bonus Example
12:39
41
Programming Tool/Concept of the Day: Online Python Communities
05:17
42
Recap of Yesterday
02:44
43
Improving the Program Output #list-comprehensions
10:17
44
Code Experiments
06:03
45
Bonus Example
03:22
46
Programming Tool/Concept of the Day: Usages of Python in Real Life
11:32
47
Recap of Yesterday
01:46
48
Optimising the Code #with-context-manager
04:51
49
Editing and Completing Todo Items #with-context-manager
11:20
50
Code Experiments
07:49
51
Bonus Example
07:56
52
Programming Tool/Concept of the Day: Steps of Creating and Maintaining a Program
03:55
53
Recap of Yesterday
02:52
54
Improving the "Add" Feature #if-conditionals #slicing
14:37
55
Optimising the Program #elif #else
11:03
56
Code Experiments
09:11
57
Bonus Example
24:00
58
Programming Tool/Concept of the Day: High vs. Low Level Programming Languages
04:58
59
Recap of Yesterday
03:02
60
Fixing Two Bugs in the Program #bugs
09:24
61
Anticipating Program Errors #try-except #continue
11:13
62
Code Experiments
06:09
63
Bonus Example
07:43
64
Programming Tool/Concept of the Day: Cloud IDEs
08:11
65
Recap of Yesterday
01:32
66
Avoiding Repetitive Code #custom-functions
16:52
67
Code Experiments
07:42
68
Bonus Example
09:52
69
Programming Tool/Concept of the Day: Python vs. Other Languages
03:28
70
Recap of Yesterday
01:12
71
Optimising the Code #function-arguments
09:40
72
Optimising the Code Further #multiple-arguments
14:14
73
Code Experiments
06:55
74
Bonus Example
11:54
75
Programming Tool/Concept of the Day: The Learn-to-Program Curve
03:26
76
Recap of Yesterday
01:19
77
Optimising the Code #default-arguments
12:55
78
Documenting the Code #doc-strings
07:41
79
Code Experiments
04:10
80
Bonus Example
10:07
81
Programming Tool/Concept of the Day: Python Versions Explained
07:56
82
Recap of Yesterday
01:26
83
Organising the Code in Modules #modules #import
13:04
84
Anatomy of Python
15:03
85
Code Experiments
09:59
86
Bonus Examples
08:21
87
Programming Tool/Concept of the Day: What is Version Control and Git? #git
10:22
88
Recap of Yesterday
01:57
89
Add a "Date" Feature #standard-modules #time #constants #if-name-equal-main
16:33
90
Code Experiments
22:56
91
Bonus Example
34:44
92
Programming Tool/Concept of the Day: Using Git #git #commit #checkout #reset
19:33
93
Recap of Yesterday
02:21
94
Difference Between Frontend and Backend #frontend #backend
04:34
95
Create a Desktop Graphical User Interface (GUI) #desktop-gui #freesimplegui
28:32
96
Code Experiments
05:22
97
Bonus Example
09:29
98
Programming Tool of the Day: Using Github #github
10:41
99
Recap of Yesterday
01:48
100
Implementing an "Add Todo" Button #gui-buttons
20:36
101
Implementing an "Edit" Button #gui-buttons
24:21
102
Code Experiments
07:51
103
Bonus Example
27:48
104
Programming Tool/Concept of the Day: Clone a Remote Github Repository #git-clone
13:13
105
Recap of Yesterday
01:09
106
Implement "Complete" and "Exit" Buttons #gui-buttons
07:59
107
Final Touches
15:53
108
Code Experiments
06:11
109
Bonus Example
21:37
110
Programming Tool/Concept of the Day: Creating a Standalone Executable
24:26
111
Recap of Yesterday
01:26
112
Create a Web App #streamlit #title #subheader #checkbox
16:22
113
Adding New Todo Items on the Web App
13:23
114
Completing Todo Items on the Web App
10:05
115
Deploying the Web App to the Cloud
13:42
116
Code Experiments
13:29
117
Bonus Example
12:36
118
Programming Tool/Concept of the Day: Web App Deployment - Deploy to Heroku
16:10
119
Today
01:35
120
PyCharm Review
04:32
121
Objects, Variables, Functions
13:09
122
Methods, Lists, Tuples, Dictionaries
17:51
123
Code Blocks, f-strings
06:49
124
External Files, List Comprehensions
07:26
125
Errors, Comments, Modules, Libraries, Web and Desktop GUIs
15:12
126
Programming Tool/Concept of the Day: Using the Command Line
15:19
127
Today
02:50
128
Programming Tool/Concept of the Day: Prototyping with Figma
22:52
129
Designing the App
01:43
130
Setting up the PyCharm Project and Git
07:17
131
The App Data Source
07:35
132
Create a Multi-Column Webpage
08:01
133
Student Project: Add Content to the Website
04:02
134
Student Project: Solution
03:58
135
Today
01:13
136
Add Thumbnail Titles to the Webpage
13:29
137
Add Descriptions, Images, and Links to the Webpage
08:51
138
Student Project: Create a Company Website
05:11
139
Student Project: Solution
06:33
140
Programming Tool/Concept of the Day: Coding without an IDE
11:23
141
Today
01:09
142
Multipage Web Apps
05:05
143
Webforms
09:09
144
Send Email
13:33
145
Send Email Via the Web Form
12:27
146
Student Project: Contact Us Email Form
03:59
147
Student Project: Solution
03:33
148
Programming Tool/Concept of the Day: Secure Passwords in Environment Variables
08:06
149
Today
03:47
150
Create a Multipage PDF
15:48
151
From CSV to PDF #pandas
15:34
152
Add More Pages to PDF
09:30
153
Add Footer
08:43
154
Student Project: Lined PDF
01:12
155
Student Project: Solution
04:10
156
Programming Tool/Concept of the Day: PEP 8 Style Guide
16:32
157
Today
03:38
158
Setting up the Project
06:50
159
Load a Data from Excel to Python
06:39
160
Create a PDF for Each Excel File
10:17
161
Student Project: From Text Files to PDF
02:17
162
Student Project: Solution
03:59
163
Programming Tool/Concept of the Day: Zen of Python
12:59
164
Today
00:25
165
Add Date to PDF
05:44
166
Add Table from Excel to PDF
16:49
167
Add Table Header and Total Price
07:47
168
Student Project: Adding Multiline Text to PDF
00:46
169
Student Project: Solution
02:11
170
Programming Tool/Concept of the Day: Using the PyCharm Debugger
24:19
171
Today
00:35
172
Programming Tool/Concept of the Day: API Explained
05:46
173
URL Requests with Python
08:46
174
Getting Data from an API
09:55
175
Student Project: Email the API Data
01:57
176
Student Project: Solution
07:38
177
Today
00:48
178
Five Program Refinements
09:34
179
Download a File from the Web
05:30
180
Student Project: Astronomy Image of the Day
01:39
181
Student Project: Solution
03:05
182
Programming Tool/Concept of the Day: Using PythonAnywhere PaaS
09:43
183
Today
03:04
184
Programming Tool/Concept of the Day: HTML Tutorial
13:00
185
Build a Website with Flask
12:53
186
Build a REST API
15:03
187
Running Multiple Apps
01:48
188
Student Project: Build a Dictionary API (Part 1)
03:46
189
Student Project: Solution
01:57
190
Today
02:08
191
Programming Tool of the Day: Jupyter Lab Tutorial
13:33
192
Pandas In-Depth: Exploring 200-years of European Weather Data
40:05
193
API that Returns Weather Temperature Data
15:01
194
Student Project: Build a Thesaurus API (Part 2)
01:19
195
Student Project: Solution
03:40
196
Today
00:43
197
Programming Tool/Concept of the Day: Data Analysis and Visualization Theory
05:24
198
Show Data Table on the Webpage
08:45
199
URL Endpoints for All Data and Annual Data
15:07
200
Student Project: Analyze a Wine Tasting Dataset
05:57
201
Student Project: Solution
04:26
202
Today #streamlit #webapp
03:16
203
Coding the User Interface
11:49
204
Plotting Data Dynamically
13:28
205
Student Project: Build a Happiness Data App
04:01
206
Student Project: Solution
04:52
207
Today
01:10
208
Getting Raw Forecast Data
13:34
209
Filtering Forecast Data
14:07
210
Add Sky Conditions
17:19
211
Student Project: Fix the Weather Forecast App
01:34
212
Student Project: Solution
02:36
213
Today
01:28
214
Programming Tool/Concept of the Day: Regular Expressions (Regex)
03:18
215
Get Number of Chapters
15:58
216
Extract Certain Sentences
11:19
217
Most Common Words
12:17
218
Student Project: Regular Expressions
03:19
219
Student Project: Solution
06:21
220
Today
01:02
221
Most Used Non-Stop Words
08:32
222
Most Positive/Negative Chapters
11:01
223
Student Project: Visualise Your Mood Across Days
02:30
224
Student Project: Solution
04:12
225
Programming Tool/Concept of the Day: Applications of NLP
05:26
226
Today
02:20
227
Programming Tool/Concept of the Day: Images from a Computer Science Perspective
11:02
228
Capture Webcam Video
13:47
229
Program the Webcam to Detect Moving Objects
27:29
230
Trigger Action when the Webcam Detects an Object
11:20
231
Student Project: Add Live Timestamp to Webcam Video
05:21
232
Student Project: Solution
02:21
233
Today
00:40
234
Extract Images from Webcam Video
08:40
235
Send Email with Attachment
14:11
236
Send Email Attachment when Webcam Detects an Object
05:35
237
Threading in Python
11:07
238
Programming Tool/Concept of the Day: Applications of Image Processing
02:56
239
Today
02:04
240
Programming Tool/Concept of the Day: Web Scraping
03:48
241
Scraping a Webpage
09:46
242
Extracting Data from the Scraped Content
10:37
243
Storing the Extracted Data in Text Files
12:04
244
Send Email when New Event is Found on the Website
04:55
245
Running the Program Non-Stop
02:26
246
Student Project: Scrape Temperature Data
02:49
247
Student Project: Solution
04:30
248
Today
01:08
249
Programming Tool/Concept of the Day: SQL Databases
17:24
250
Select, Add, and Delete SQL Data
12:25
251
Storing the App Data in an SQL Database
17:14
252
Student Project: Store Temperature Data in SQL Database
03:00
253
Student Project: Solution
05:05
254
Today
02:51
255
Classes and Object Oriented Programming #classes #oop
14:31
256
Class init and self
14:16
257
Today
01:16
258
Programming Tool/Concept of the Day: Class vs Instance
04:02
259
Planning the App in OOP Style
03:39
260
Code the Classes
03:43
261
Create Instances
09:24
262
Implement the Methods of the Hotel Class
11:39
263
Implement the Methods of the Reservation Ticket Class
08:35
264
Student Project
02:50
265
Student Project: Solution
04:20
266
Today
01:29
267
Credit Card feature #extending #new-feature
17:26
268
Secure Credit Card feature #inheritance #new-feature
13:40
269
Overwriting Parent Methods
03:51
270
Student Project - Spa Hotel Class
03:43
271
Student Project: Solution
02:53
272
Today
01:00
273
Instance Variables Vs. Class Variables
07:23
274
Instance Methods Vs. Class Methods
06:11
275
Properties
06:36
276
Static Methods
03:13
277
Magic Methods
12:41
278
Abstract Classes and Abstract Methods
07:32
279
Today
01:44
280
пёЏ Programming Tool of the Day - Collaborating #github #fork #pull-request
10:56
281
Setting up the Project Locally
05:22
282
Inspecting the Project Structure
09:32
283
Inspecting the Code
15:29
284
Today
02:53
285
Project Requirements
02:14
286
Sketching a Prototype
05:17
287
Introduction to PyQt6
31:22
288
Student Project - Speed Calculator GUI
01:33
289
Solution
02:58
290
Today
00:34
291
Add a Menu Bar
08:42
292
Creating a Table Structure
04:20
293
Populate Table with Data
12:43
294
Inserting New Records
19:20
295
Student Project - Implement the Search Functionality
01:34
296
Solution
08:04
297
Today
00:52
298
Add the Toolbar
07:52
299
Add the Status Bar
11:44
300
Create an Edit Dialog
20:39
301
Create a Delete Dialog
12:28
302
Create an About Dialog
04:41
303
Programming Skill of the Day - Refactoring
09:44
304
Today
01:20
305
MySQL vs SQLite
06:00
306
Installing MySQL on Windows
08:07
307
Installing MySQL on Mac
09:13
308
Installing MySQL on Linux
04:18
309
пёЏ Programming Skill of the Day - MySQL Command Line Tutorial
11:57
310
Implement MySQL in Python
12:03
311
Today #chatbot #chatgpt
01:28
312
Creating the Chatbot GUI
11:48
313
Create the GPT Chatbot
08:51
314
Connect the Chatbot to the GUI
15:22
315
Today
02:32
316
Creating the App Structure
06:14
317
Connecting the Python Backend to the HTML Part
05:24
318
в–¶Building the Form
16:32
319
Bootstrap Style
13:12
320
Today
00:50
321
Getting the User Data
14:31
322
Creating a Database
11:04
323
Storing the User Data in the Database
07:26
324
Showing Submission Notification
07:03
325
Sending a Confirmation Email
09:54
326
Today
01:35
327
Setting up a Django Project and an App
09:24
328
Setting up Database Models
12:58
329
Creating a View and a Template
10:35
330
Today
01:27
331
Code the HTML of the Application Form
08:10
332
Creating a Form Model
12:28
333
Store the Data in the Database
04:58
334
Send an Email with Django
09:09
335
Today
00:36
336
Creating an Admin Interface
07:09
337
Customizing the Admin Interface
06:31
338
Creating a Base Template
11:54
339
Adding the Navigation Bar
06:54
340
Today
03:37
341
Creating the App QR Code
03:45
342
Setup a Django Project and App
04:07
343
Creating the Database Model
19:01
344
Today
01:23
345
Creating Class-Based Views
22:40
346
Context in Django
05:54
347
Today
00:40
348
Creating an Admin Interface and Adding Data
09:38
349
Jinja For Loops
12:49
350
Jinja If Conditionals
08:53
351
Adding Dynamic Links
10:25
352
Adding Bootstrap
12:40
353
Today
01:39
354
Three Types of Recommendation Systems
04:04
355
The Movies Dataset
05:33
356
Project Setup on Deepnote
07:30
357
Popularity-Based Recommendation Model
19:50
358
Today
00:56
359
Term Frequency and Inverse Document Frequency
16:49
360
Similarity Matrix
07:25
361
Extracting Most Similar Movies
19:07
362
Collaborative Filtering with Machine Learning
04:04
363
Training and Using the Model to Predict
14:17
364
Today
01:13
365
Description of the Package
02:17
366
Preparing the Code of the Package
11:11
367
Testing the Package
12:15
368
Uploading the Package to PyPi
13:01
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