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

51h 19m 24s
English
Paid
July 23, 2024

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.

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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.

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# Title Duration
1 Welcome to Module 1 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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