#100DaysOfCode with Python course

17h 27m 49s
English
Paid
April 22, 2024

#100DaysOfCode in Python is your perfect companion to take the 100 days of code challenge and be successful. This course is 1-part video lesson, 2-parts guided projects. You will be amazed at how many Python technologies and libraries you learn on this journey. Join the course and get started.

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Source code and course GitHub repository

 github.com/talkpython/100daysofcode-with-python-course

What's this course about and how is it different?

100 days of code is not just about the commitment. The true power and effectiveness is in having a guide and pursuing the "right-sized" projects. That’s why we have 33 deeply practical projects. Each paired with 20-40 minute lessons at the beginning of the project.

Just a small sampling of the projects you’ll work on include:

  • Understating basic Python data structures
  • Searching large text corpuses with regular expressions
  • Consume HTTP services including the Twitter and GitHub APIs among others
  • Visual data with graphs using plotly
  • Convert your Python CLI (command line interface) app to a GUI application
  • Program against Excel in Python to automate your spreadsheet data
  • Build a text-based game and learn object-oriented programming
  • Automate multi-step web processes using selenium
  • Test your code with pytest and unit testing
  • Create a basic web app with Flask
  • Create a JSON-based online game service using Flask too
  • And 22 more projects!

Who is this course for?

This course is for anyone who wants to immerse themselves in Python for 100 days worth of learning and hands-on projects.

We don’t start from absolute zero in terms of programming but if you are new to Python we have a language appendix and we start somewhat slow. By the end of the course, we get into intermediate-level Python projects.

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# Title Duration
1 Welcome to the course 02:54
2 The rules of #100DaysOfCode 01:06
3 Topics covered 03:07
4 Why Python for #100DaysOfCode 02:06
5 Course flow 01:34
6 Meet your instructors 01:46
7 Need a Python primer? 00:40
8 Get the source code 02:09
9 Three devs are better than one 01:43
10 Julian's setup 02:44
11 Bob's setup 03:55
12 Michael's tool's and setup 02:47
13 PyBites code challenge platform 03:11
14 Video player: A quick feature tour 02:05
15 Lesson introduction 00:41
16 Your 3 day overview 01:33
17 Learning datetime and date 08:13
18 Datetime timedelta usage 06:08
19 Concepts: what did we learn 04:03
20 Lesson introduction 00:41
21 Namedtuples: more readable code 02:06
22 Defaultdicts: factory for data structures 03:01
23 Counter: don't reinvent the wheel 01:21
24 Deque: when lists become slow 03:28
25 Concepts: what did we learn 00:55
26 Second day: use collections on movie data 04:39
27 Third day: get more practice 01:03
28 Introduction to Data Structures 00:26
29 Your 3 day overview 02:47
30 Manipulating Lists 07:35
31 Immutability and Tuples 03:08
32 Creating and Parsing Dictionaries 07:21
33 Concepts: what did we learn 03:26
34 Lesson introduction 00:48
35 The importance of testing 02:08
36 Setup and a guessing game to test 03:21
37 Hello test world - unittest vs pytest 03:18
38 Mocking randomness / pytest-cov 05:30
39 Mocking user input and exceptions 05:07
40 Testing a program's stdout with capfd 04:51
41 Testing (simulating) the game end-to-end 07:23
42 A TDD primer writing Fizz buzz 05:06
43 Concepts: what did we learn 02:28
44 Second day: use pytest on your code 02:20
45 Third day: writing pytest fixtures 01:37
46 Introduction to the chapter 01:33
47 Modeling concepts: Inheritance, classes, and objects 03:00
48 Demo: Initial project structure 02:43
49 Demo: Building our classes 09:02
50 Demo: Implementing the game play 05:17
51 Concept: Classes 00:56
52 Your turn: Day 1 01:37
53 Your turn: Day 2 01:55
54 Your turn: Day 3 01:08
55 Lesson introduction 01:19
56 Writing a simple list comprehension 03:26
57 Cleaning data with list comprehensions 03:33
58 Generators - the basics 01:56
59 Use generators to build a sequence 01:30
60 List vs generator performance 01:38
61 Concepts: what did we learn 01:32
62 Second day: a practical exercise 00:59
63 Third day: solution and islice 05:05
64 Third day: more code challenges 01:18
65 Introduction to the lesson 00:30
66 Your 3 day overview 02:52
67 Iteration Refresher 04:53
68 Itertools - Cycle 05:34
69 Itertools - Product 04:46
70 Combinations and Permutations 03:55
71 Traffic Lights Project 08:29
72 Concepts: what did we learn? 04:48
73 Lesson introduction 00:40
74 Quick primer on decorators 02:37
75 Function argument types: args and kwargs 03:54
76 Write a timeit decorator (wraps) 02:09
77 More abstraction: stacking decorators 01:56
78 Examples of real life decorators 01:29
79 Concepts: what did we learn 02:01
80 Second day: a practical exercise 00:46
81 Third day: write your own decorator 01:35
82 Introducing Python's error handling 01:01
83 Demo: The starter app skeleton 02:36
84 Demo: try-except blocks 02:31
85 Demo: Error types 04:05
86 Concepts: Error handling and exceptions 01:42
87 Your turn: Day 1 01:19
88 Your turn: Day 2 01:01
89 Your turn: Day 3 00:52
90 Lesson introduction 00:35
91 When not to use regexes 01:55
92 Comparing re.search and re.match 01:50
93 String capturing parenthesis 02:16
94 findall is your friend 03:20
95 Compiling regexes with re.VERBOSE 05:23
96 Using re.sub for string replacing 02:54
97 Concepts: what did we learn 01:58
98 Second day: write your own regexes 02:08
99 Third day: more regex exercises 01:54
100 Introduction to logging 03:25
101 Logging with Logbook 01:18
102 Demo: Introducing our app 02:13
103 Demo: Configuring logging 04:32
104 Demo: Writing the log messages 04:45
105 Demo: Logging a the API level 02:27
106 Demo: File logging 02:31
107 Concepts: Logging 02:30
108 Your turn: Day 1 00:38
109 Your turn: Day 2 00:31
110 Your turn: Day 3 01:21
111 Lesson introduction 01:21
112 Refactoring 1: if-elif-else horror 03:01
113 Refactoring 2: loop counting == enumerate 01:30
114 Refactoring 3: with statement (context managers) 02:25
115 Refactoring 4: use built-ins / standard library 03:15
116 Refactoring 5: tuple unpacking and namedtuples 03:34
117 Refactoring 6: list comprehensions and generators 02:54
118 Refactoring 7: string formatting and concatenation 03:12
119 Refactoring 8: PEP8 and Zen of Python 00:48
120 Refactoring 9: be explicit in your exceptions 02:56
121 Refactoring 10: quality code best practices 02:35
122 Refactoring / code quality resources 02:13
123 Concepts: what did we learn 05:12
124 Your turn: Day 2 and 3 01:32
125 Introduction to CSV programming 00:36
126 Some amazing data sets 02:18
127 Our data 01:03
128 Demo: Getting started with CSV processing 03:39
129 Demo: Reading the CSV file contents 04:20
130 Demo: Parsing the CSV file 02:28
131 Demo: Converting our CSV data to a usable form 07:00
132 Demo: Answer the questions 06:36
133 Concepts: CSV programming 01:44
134 Your turn: Day 1 01:44
135 Your turn: Day 2 00:16
136 Your turn: Day 3 00:30
137 Introduction to JSON 01:12
138 Your 3 day overview 01:59
139 Inspecting JSON schema 02:09
140 Request JSON data from an API 05:36
141 Parsing nested dicts in JSON 08:59
142 Concepts: what did we learn 05:44
143 Introduction to HTTP APIs 01:12
144 Exploring the service 01:46
145 Introducing the Postman app 01:20
146 The requests package 00:55
147 Demo: Building the program structure 04:03
148 Demo: Downloading search results 02:20
149 Demo: Data version one: dicts 02:31
150 Demo: Data version two: Better results 05:04
151 Concepts 01:24
152 Your turn: Day 1 00:45
153 Your turn: Day 2 01:44
154 Your turn: Day 3 00:40
155 Introduction to BeautifulSoup4 00:42
156 Your 3 day overview 02:47
157 Setting up the environment 01:09
158 A quick BS4 overview 02:08
159 Building your first BS4 scraper 09:40
160 Requests best practice 01:50
161 Detailed BS4 scraping and searching 10:20
162 Concepts: what did we learn 05:31
163 Introduction to profiling 00:50
164 Intuition fail 01:11
165 Demo: Getting started 04:14
166 Demo: Focus on our code 01:52
167 Demo: Fine-tuning collection with the API 03:23
168 Demo: Even more focused collection 03:54
169 Demo: Faster with less data processed 06:20
170 PyCharm's profiling 03:04
171 Concepts: Profiling 01:38
172 A quantum warning 01:59
173 Your turn: Day 1 00:46
174 Your turn: Day 2 00:59
175 Your turn: Day 3 00:58
176 Lesson introduction 00:35
177 Your 3 day overview 01:48
178 Setting up our Feedparser environment 01:17
179 Pulling the feed with Requests 03:13
180 Parsing XML with Feedparser 05:24
181 Feedparser Sanity Check 02:45
182 Concepts: what did we learn 03:01
183 Introducing uplink 01:09
184 A glimpse at an API 02:08
185 Use the official API if available 01:02
186 Demo: Getting started 03:09
187 Demo: Exploring the service 01:41
188 Demo: Creating the client 04:22
189 Demo: Getting a individual post 03:21
190 Demo: Only success responses 02:51
191 Demo: Writing a new post 04:43
192 Demo: Better wrappers and helpers 03:21
193 Concepts: uplink 01:56
194 Your turn: Day 1 01:14
195 Your turn: Day 2 00:58
196 Your turn: Day 3 00:38
197 Lesson introduction 00:56
198 Create a Twitter app 00:43
199 Virtual environment and env variables 02:40
200 Get all tweets with tweepy.Cursor 02:59
201 Identify the most popular tweets 02:47
202 Most common hashtags and mentions 02:13
203 Build a Twitter wordcloud 03:50
204 Concepts: what did we learn 02:11
205 Second + third day: practice projects 03:37
206 Lesson introduction 00:53
207 Setup and creating a Github user object 03:30
208 Quick detour: getting help in Python 02:17
209 Ranking user's repos by popularity 04:14
210 Creating a gist with the Github API 04:44
211 Inspecting Github objects with pdb 03:50
212 Concepts: what did we learn 02:03
213 Second day: examples / get practice 02:01
214 Third day: more practice / requests-cache 01:31
215 Introduction to sending Emails 00:48
216 Your 3 day overview 01:45
217 Obtaining your Gmail App ID 02:57
218 Email Project Setup 00:56
219 Sending an Email with smtplib 06:56
220 Getting into MIME 08:27
221 Emailing with BCC 03:33
222 Concepts: what did we learn 04:32
223 Lesson introduction 00:50
224 Your 3 day overview 01:45
225 Setup: Install Pyperclip and your env 00:53
226 Pyperclip Usage 02:34
227 Demo: Affiliate script 05:26
228 Demo: Pyperclip text replacer 06:15
229 Concepts: what did we learn 03:05
230 Lesson introduction 00:39
231 Your 3 day overview 01:59
232 Setup: install openpyxl and your env 00:58
233 Understanding workbooks and worksheets in openpyxl 04:05
234 Working with cell values 06:43
235 Using maxrow 04:02
236 Inserting data into a worksheet 08:10
237 Concepts: what did we learn 06:58
238 Lesson introduction 01:08
239 Setup: install Selenium and ChromeDriver 02:04
240 Hello world Selenium: search python.org 01:12
241 Demo 1: access my Packt ebook collection 06:49
242 Demo 2: automating PyBites banner creation 06:59
243 Concepts: what did we learn 01:55
244 Your turn: Day 2 01:16
245 Your turn: Day 3 01:07
246 Flask introduction 00:43
247 Your 3 day overview 01:57
248 Setting up the environment 01:55
249 Creating your first Flask app! 06:31
250 Dict data in Flask 09:47
251 Concepts: what did we learn 02:44
252 A brief intro to SQLite3 Databases 01:04
253 Your 3 day overview 02:08
254 Installing SQLite DB Browser 01:13
255 Creating a simple SQLite3 address book 07:13
256 Analysing the DB with SQLite DB Browser 00:48
257 Demo: Script to Generate a DB 04:28
258 Inserting data into the address book 02:48
259 Demo: Script to populate the address book 06:22
260 Pulling data with SELECT 02:26
261 Concepts: what did we learn 03:44
262 Lesson introduction 00:59
263 Installing feedparser and plotly 02:18
264 Prep 1: parse PyBites RSS feed data 05:54
265 Prep 2: useful data structures for plotting 04:29
266 Prep 3: transpose data and init Plotly 02:23
267 Creating bar and pie charts with Plotly 03:11
268 Other data visualization libraries 01:54
269 Concepts: what did we learn 03:30
270 Second day: build your own graphs 01:57
271 Third day: extra inspiration / keep coding 01:02
272 Fullstack web introduction 00:46
273 What is fullstack development? 02:21
274 What app will we build? 01:01
275 Introducing Anvil 00:54
276 Anvil building blocks 02:42
277 Creating a new project in Anvil 02:09
278 Adding navigation 02:28
279 Subforms 02:07
280 Linking the forms 04:20
281 Building the Add new document form 02:09
282 Processing add new document 04:45
283 Data tables 02:32
284 Anvil server code 03:27
285 Creating the document 02:54
286 Add document finale 04:52
287 All docs 06:55
288 A refactoring 01:32
289 Adding filtering 03:05
290 Document details form 02:48
291 Publishing our web app 01:56
292 Anvil concepts 02:56
293 Your turn: Day 1 01:50
294 Your turn: Day 2 01:07
295 Your turn: Day 3 01:07
296 Lesson Introduction 00:48
297 Your 3 day overview 02:37
298 Writing and working the main menu 06:07
299 SQLite3 database usage 04:38
300 Scrub function - SQLite3 workaround 05:46
301 Home Inventory app run through 05:02
302 Bug and functionality fixes 05:40
303 Your Turn! - Fix the app 01:06
304 Introducing SQLAlchemy 01:19
305 Demo: Introducing our app 02:38
306 Demo: The app skeleton 02:18
307 Demo: Defining database classes 03:02
308 Demo: Defining columns (via classes) 04:57
309 Demo: Connecting to the database 06:24
310 Demo: Using the data access layer (DAL) 07:34
311 Demo: The final game 00:56
312 Demo: Seeing the database 01:25
313 Concepts: SQLAlchemy 03:18
314 Your turn: Day 1 00:56
315 Your turn: Day 2 01:46
316 Your turn: Day 3 00:40
317 Introduction to Python UIs 02:51
318 Demo: Where we are starting 02:48
319 Demo: Refactoring to isolate user input 02:16
320 Demo: Adding Gooey to our app 05:26
321 Demo: Packaging our app for redistribution 04:48
322 Concepts: Gooey 01:25
323 Your turn: Day 1 01:59
324 Your turn: Day 2 01:03
325 Your turn: Day 3 01:04
326 Introducing our online game server 03:41
327 What API operations are required? 02:45
328 Getting started: Program structures 03:06
329 Adding the Flask basics 02:05
330 Defining JSON methods in Flask 02:58
331 Migrating our SQLAlchemy models 01:48
332 Ensuring starter data 04:24
333 Defining the API methods in Flask 04:56
334 Exercising the API 01:36
335 Implementing the all-rolls method 01:26
336 Implementing the create-game method 01:24
337 Implementing the find-user method 02:58
338 Implementing the create-user method 04:07
339 Implementing the game-status method 02:38
340 Implementing the top-scores method 01:32
341 Implementing the play-round method 04:15
342 Refactoring our web code for single responsibility 04:18
343 Implementing the client 02:36
344 Making the client self-validating 01:25
345 Writing the full client 00:46
346 Implementing the game (client-side) 03:09
347 Your turn: Day 1 01:45
348 Your turn: Day 2 00:46
349 Your turn: Day 3 01:19
350 The final day 00:46
351 You've done it! 00:31
352 What you've learned 01:22
353 Make sure you have the source 00:29
354 Stay immersed in Python 01:08
355 Continue to challenge yourself with PyBites 01:12
356 Thanks and goodbye 01:12
357 Concept: The shape of a program 01:26
358 Concept: Variables 00:51
359 Concept: Truthiness 01:47
360 Concept: If else 01:25
361 Concept: Complex conditionals 01:32
362 Concept: for-in 01:41
363 Concept: Calling functions 01:00
364 Concept: Creating functions 01:34
365 Concept: File I/O 01:20
366 Concept: Imports and importing modules 02:00
367 Concept: Python package index 01:54
368 Concept: pip 02:26
369 Concept: Virtual environments 03:54
370 Concept: Slicing 02:54
371 Concept: Tuples 01:44
372 Concept: Named tuples 01:44
373 Concept: Classes 02:01
374 Concept: objects vs. classes 01:45
375 Concept: Inheritance 01:50
376 Concept: Polymorphism 00:54
377 Concept: Dictionaries 02:31
378 Concept: Error handling 02:39
379 Concept: lambdas 02:09
380 Concept: list comprehensions 02:58
381 Concept: Want more foundational Python? 00:47

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