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

Name: Python Mega Course: Learn Python in 60 Days, Build 20 Apps
Price: 9 USD
Availability: InStock

51h 19m 24s

English

Paid

July 23, 2024

Course description

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.

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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0:00

#1: Welcome to Module 1

All Course Lessons (368)

#	Lesson Title	Duration
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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