Видео курса

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    Welcome to the course
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    The rules of #100DaysOfCode
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    Topics covered
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    Why Python for #100DaysOfCode
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    Course flow
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    Meet your instructors
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    Need a Python primer?
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    Get the source code
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    Three devs are better than one
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    Julian's setup
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    Bob's setup
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    Michael's tool's and setup
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    PyBites code challenge platform
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    Video player: A quick feature tour
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    Lesson introduction
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    Your 3 day overview
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    Learning datetime and date
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    Datetime timedelta usage
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    Concepts: what did we learn
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    Lesson introduction
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    Namedtuples: more readable code
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    Defaultdicts: factory for data structures
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    Counter: don't reinvent the wheel
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    Deque: when lists become slow
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    Concepts: what did we learn
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    Second day: use collections on movie data
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    Third day: get more practice
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    Introduction to Data Structures
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    Your 3 day overview
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    Manipulating Lists
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    Immutability and Tuples
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    Creating and Parsing Dictionaries
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    Concepts: what did we learn
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    Lesson introduction
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    The importance of testing
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    Setup and a guessing game to test
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    Hello test world - unittest vs pytest
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    Mocking randomness / pytest-cov
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    Mocking user input and exceptions
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    Testing a program's stdout with capfd
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    Testing (simulating) the game end-to-end
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    A TDD primer writing Fizz buzz
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    Concepts: what did we learn
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    Second day: use pytest on your code
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    Third day: writing pytest fixtures
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    Introduction to the chapter
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    Modeling concepts: Inheritance, classes, and objects
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    Demo: Initial project structure
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    Demo: Building our classes
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    Demo: Implementing the game play
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    Concept: Classes
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson introduction
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    Writing a simple list comprehension
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    Cleaning data with list comprehensions
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    Generators - the basics
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    Use generators to build a sequence
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    List vs generator performance
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    Concepts: what did we learn
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    Second day: a practical exercise
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    Third day: solution and islice
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    Third day: more code challenges
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    Introduction to the lesson
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    Your 3 day overview
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    Iteration Refresher
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    Itertools - Cycle
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    Itertools - Product
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    Combinations and Permutations
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    Traffic Lights Project
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    Concepts: what did we learn?
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    Lesson introduction
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    Quick primer on decorators
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    Function argument types: args and kwargs
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    Write a timeit decorator (wraps)
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    More abstraction: stacking decorators
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    Examples of real life decorators
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    Concepts: what did we learn
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    Second day: a practical exercise
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    Third day: write your own decorator
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    Introducing Python's error handling
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    Demo: The starter app skeleton
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    Demo: try-except blocks
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    Demo: Error types
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    Concepts: Error handling and exceptions
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson introduction
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    When not to use regexes
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    Comparing re.search and re.match
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    String capturing parenthesis
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    findall is your friend
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    Compiling regexes with re.VERBOSE
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    Using re.sub for string replacing
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    Concepts: what did we learn
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    Second day: write your own regexes
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    Third day: more regex exercises
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    Introduction to logging
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    Logging with Logbook
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    Demo: Introducing our app
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    Demo: Configuring logging
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    Demo: Writing the log messages
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    Demo: Logging a the API level
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    Demo: File logging
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    Concepts: Logging
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson introduction
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    Refactoring 1: if-elif-else horror
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    Refactoring 2: loop counting == enumerate
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    Refactoring 3: with statement (context managers)
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    Refactoring 4: use built-ins / standard library
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    Refactoring 5: tuple unpacking and namedtuples
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    Refactoring 6: list comprehensions and generators
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    Refactoring 7: string formatting and concatenation
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    Refactoring 8: PEP8 and Zen of Python
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    Refactoring 9: be explicit in your exceptions
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    Refactoring 10: quality code best practices
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    Refactoring / code quality resources
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    Concepts: what did we learn
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    Your turn: Day 2 and 3
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    Introduction to CSV programming
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    Some amazing data sets
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    Our data
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    Demo: Getting started with CSV processing
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    Demo: Reading the CSV file contents
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    Demo: Parsing the CSV file
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    Demo: Converting our CSV data to a usable form
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    Demo: Answer the questions
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    Concepts: CSV programming
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Introduction to JSON
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    Your 3 day overview
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    Inspecting JSON schema
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    Request JSON data from an API
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    Parsing nested dicts in JSON
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    Concepts: what did we learn
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    Introduction to HTTP APIs
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    Exploring the service
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    Introducing the Postman app
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    The requests package
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    Demo: Building the program structure
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    Demo: Downloading search results
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    Demo: Data version one: dicts
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    Demo: Data version two: Better results
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    Concepts
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Introduction to BeautifulSoup4
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    Your 3 day overview
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    Setting up the environment
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    A quick BS4 overview
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    Building your first BS4 scraper
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    Requests best practice
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    Detailed BS4 scraping and searching
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    Concepts: what did we learn
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    Introduction to profiling
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    Intuition fail
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    Demo: Getting started
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    Demo: Focus on our code
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    Demo: Fine-tuning collection with the API
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    Demo: Even more focused collection
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    Demo: Faster with less data processed
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    PyCharm's profiling
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    Concepts: Profiling
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    A quantum warning
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson introduction
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    Your 3 day overview
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    Setting up our Feedparser environment
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    Pulling the feed with Requests
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    Parsing XML with Feedparser
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    Feedparser Sanity Check
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    Concepts: what did we learn
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    Introducing uplink
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    A glimpse at an API
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    Use the official API if available
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    Demo: Getting started
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    Demo: Exploring the service
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    Demo: Creating the client
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    Demo: Getting a individual post
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    Demo: Only success responses
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    Demo: Writing a new post
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    Demo: Better wrappers and helpers
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    Concepts: uplink
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson introduction
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    Create a Twitter app
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    Virtual environment and env variables
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    Get all tweets with tweepy.Cursor
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    Identify the most popular tweets
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    Most common hashtags and mentions
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    Build a Twitter wordcloud
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    Concepts: what did we learn
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    Second + third day: practice projects
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    Lesson introduction
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    Setup and creating a Github user object
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    Quick detour: getting help in Python
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    Ranking user's repos by popularity
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    Creating a gist with the Github API
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    Inspecting Github objects with pdb
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    Concepts: what did we learn
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    Second day: examples / get practice
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    Third day: more practice / requests-cache
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    Introduction to sending Emails
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    Your 3 day overview
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    Obtaining your Gmail App ID
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    Email Project Setup
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    Sending an Email with smtplib
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    Getting into MIME
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    Emailing with BCC
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    Concepts: what did we learn
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    Lesson introduction
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    Your 3 day overview
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    Setup: Install Pyperclip and your env
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    Pyperclip Usage
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    Demo: Affiliate script
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    Demo: Pyperclip text replacer
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    Concepts: what did we learn
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    Lesson introduction
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    Your 3 day overview
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    Setup: install openpyxl and your env
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    Understanding workbooks and worksheets in openpyxl
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    Working with cell values
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    Using maxrow
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    Inserting data into a worksheet
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    Concepts: what did we learn
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    Lesson introduction
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    Setup: install Selenium and ChromeDriver
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    Hello world Selenium: search python.org
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    Demo 1: access my Packt ebook collection
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    Demo 2: automating PyBites banner creation
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    Concepts: what did we learn
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    Your turn: Day 2
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    Your turn: Day 3
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    Flask introduction
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    Your 3 day overview
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    Setting up the environment
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    Creating your first Flask app!
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    Dict data in Flask
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    Concepts: what did we learn
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    A brief intro to SQLite3 Databases
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    Your 3 day overview
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    Installing SQLite DB Browser
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    Creating a simple SQLite3 address book
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    Analysing the DB with SQLite DB Browser
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    Demo: Script to Generate a DB
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    Inserting data into the address book
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    Demo: Script to populate the address book
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    Pulling data with SELECT
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    Concepts: what did we learn
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    Lesson introduction
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    Installing feedparser and plotly
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    Prep 1: parse PyBites RSS feed data
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    Prep 2: useful data structures for plotting
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    Prep 3: transpose data and init Plotly
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    Creating bar and pie charts with Plotly
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    Other data visualization libraries
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    Concepts: what did we learn
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    Second day: build your own graphs
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    Third day: extra inspiration / keep coding
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    Fullstack web introduction
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    What is fullstack development?
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    What app will we build?
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    Introducing Anvil
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    Anvil building blocks
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    Creating a new project in Anvil
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    Adding navigation
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    Subforms
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    Linking the forms
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    Building the Add new document form
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    Processing add new document
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    Data tables
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    Anvil server code
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    Creating the document
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    Add document finale
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    All docs
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    A refactoring
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    Adding filtering
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    Document details form
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    Publishing our web app
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    Anvil concepts
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Lesson Introduction
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    Your 3 day overview
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    Writing and working the main menu
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    SQLite3 database usage
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    Scrub function - SQLite3 workaround
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    Home Inventory app run through
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    Bug and functionality fixes
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    Your Turn! - Fix the app
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    Introducing SQLAlchemy
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    Demo: Introducing our app
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    Demo: The app skeleton
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    Demo: Defining database classes
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    Demo: Defining columns (via classes)
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    Demo: Connecting to the database
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    Demo: Using the data access layer (DAL)
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    Demo: The final game
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    Demo: Seeing the database
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    Concepts: SQLAlchemy
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Introduction to Python UIs
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    Demo: Where we are starting
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    Demo: Refactoring to isolate user input
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    Demo: Adding Gooey to our app
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    Demo: Packaging our app for redistribution
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    Concepts: Gooey
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    Introducing our online game server
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    What API operations are required?
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    Getting started: Program structures
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    Adding the Flask basics
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    Defining JSON methods in Flask
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    Migrating our SQLAlchemy models
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    Ensuring starter data
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    Defining the API methods in Flask
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    Exercising the API
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    Implementing the all-rolls method
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    Implementing the create-game method
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    Implementing the find-user method
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    Implementing the create-user method
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    Implementing the game-status method
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    Implementing the top-scores method
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    Implementing the play-round method
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    Refactoring our web code for single responsibility
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    Implementing the client
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    Making the client self-validating
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    Writing the full client
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    Implementing the game (client-side)
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    Your turn: Day 1
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    Your turn: Day 2
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    Your turn: Day 3
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    The final day
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    You've done it!
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    What you've learned
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    Make sure you have the source
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    Stay immersed in Python
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    Continue to challenge yourself with PyBites
  • Урок 356. 00:01:12
    Thanks and goodbye
  • Урок 357. 00:01:26
    Concept: The shape of a program
  • Урок 358. 00:00:51
    Concept: Variables
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    Concept: Truthiness
  • Урок 360. 00:01:25
    Concept: If else
  • Урок 361. 00:01:32
    Concept: Complex conditionals
  • Урок 362. 00:01:41
    Concept: for-in
  • Урок 363. 00:01:00
    Concept: Calling functions
  • Урок 364. 00:01:34
    Concept: Creating functions
  • Урок 365. 00:01:20
    Concept: File I/O
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    Concept: Imports and importing modules
  • Урок 367. 00:01:54
    Concept: Python package index
  • Урок 368. 00:02:26
    Concept: pip
  • Урок 369. 00:03:54
    Concept: Virtual environments
  • Урок 370. 00:02:54
    Concept: Slicing
  • Урок 371. 00:01:44
    Concept: Tuples
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    Concept: Named tuples
  • Урок 373. 00:02:01
    Concept: Classes
  • Урок 374. 00:01:45
    Concept: objects vs. classes
  • Урок 375. 00:01:50
    Concept: Inheritance
  • Урок 376. 00:00:54
    Concept: Polymorphism
  • Урок 377. 00:02:31
    Concept: Dictionaries
  • Урок 378. 00:02:39
    Concept: Error handling
  • Урок 379. 00:02:09
    Concept: lambdas
  • Урок 380. 00:02:58
    Concept: list comprehensions
  • Урок 381. 00:00:47
    Concept: Want more foundational Python?