Advanced Python

Building complex projects with python might be challenging without a solid understanding of the python classes, objects, etc. With this course, you will be able to build real-life projects using the most demanded programming language.

Lectures: 66
Language: English

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Instructor

Timothy Owen

Timothy is an Android and Back-end software engineer, who loves working with Java and Python. He has been building tech communities since 2017, volunteering for Andela Learning Community as a program assistant for the Facebook DevC Training and Google Africa Developer Scholarship programs. While at the university, he pioneered the Google Developer Student Club and Ingressive Campus Developers Club. He loves code, tech communities, and food. He is also enthusiastic about Site Reliability Engineering and Machine Learning.

$14.99

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66 Unique Lessons
1 Quiz
Community Support
Feedback from Mentor
Lifetime Access
Mobile Friendly Content
Certificate

Instructor

Timothy Owen

Description

This entire course will take you deep into building applications using python You get to build projects in each chapter to consolidate the skills learned, not just projects but simulated real-world projects. By the end of the course, you will be able to work with the complex python libraries, build desktop applications, get started with Data analysis, interact with the operating system using the command line, work with external files, and many more real world solutions.

With python being on-demand, you will be able to compete with other experienced developers at the senior level from the experience in building simulated real world projects. We get to increase our complexity by even building more projects and adding more libraries as the course advances. With the simulated project-based learning, you will be able to launch into the market with experience and work with in-demand companies and clients running software with over 2Billion users as a python Engineer and Developer.

Example jobs on freelancing platforms:

GUI python app developer
Python expert
Python automation Engineer
Site Reliability Engineer (Python Developer)
Python Scripting Engineer
Integration python developer

With this knowledge you’ll be able to:

Work on software and desktop apps with over 2 Billion users
Become a successful freelance and independent developer
Work on cross-platform apps and software development in any company
Get started with Machine Learning, Data Science, and Automation industry just in one language - Python

Prerequisites and requirements

Understanding of the python basics (We have an intro to python course)
A computer powerful enought to run Pycharm and VS Code
Pycharm IDE Installed

Curriculum

Chapter 00: Coderstrust
0:48m
- C0.01: Welcome to your learning journey!
  Resource
- C0.02: What is Coderstrust?
  Video
- C0.03: Coderstrust & You
  Resource
- C0.04: Setting goals
  Resource
- C0.05: Join our Community
  Resource
- C0.06: How it works: Assignments
  Resource
- C0.07: How it works: Quiz
  Resource
Chapter 1 - Recap
61:57m
- C1.1 - Lists and more operations - Part 1
  Video
- C1.2 - Lists and more operations - Part 2
  Video
- C1.3 List_action_time
  Video
- C1.4 List
  Video
- C1.5- Let's talk sets
  Video
- C1.6 - Working with sets
  Video
- C1.7 - Union, intersection and symmetric difference
  Video
- C1.8 - Copying ,updating and the frozen sets
  Video
Chapter 2 - Handling errors and Interacting with Files
95:37m
- C2.1 - Strings
  Video
- C2.2 - Strings Operations
  Video
- C2.3 - Strings and iteration
  Video
- C2.4 - Strings formatting
  Video
- C2.5 - String timers
  Video
- C2.6 - Counters and Named Tuple
  Video
- C2.7 - ordered and default dictionary
  Video
- C2.8 - Deques the Python way
  Video
- C2.9 - Itertool_s comb,perm and product
  Video
- C2.10 - Accumulators and Groupby
  Video
- C2.11 - using Lambda
  Video
- C2.12 - infinite Loops
  Video
- C2.13 - Lambda and other methods
  Video
- C2.14 - Filter and Reduce
  Video
Chapter 3 - Interacting with Numbers and Expressions
90:32m
- C3.1 - Let_s start Debugging
  Video
- C3.2 - Understanding types of Errors
  Video
- C3.3 - Dealing with Specific errors
  Video
- C3.4 - Class Errors and try except
  Video
- C3.5 - Creating your own loggers
  Video
- C3.6 - Time or Traceback
  Video
- C3.7 - Logging errors in Files
  Video
- C3.8 - logging Errors and debug levels
  Video
- C3.9 - Dive into JSON
  Video
- C3.10 - Interacting with Json and Files
  Video
- C3.11 - Encoding and decoding dictiaries with JSON
  Video
- C3.12 - json encoders and classes decoders
  Video
- C3.13 - Numpy and Secrets in Python
  Video
Chapter 4 - Threading and the Managers
85:50m
- C4.1 - Generators and Decorators
  Video
- C4.2 - Decorators and Functions
  Video
- C4.3 - Decorators and arguements
  Video
- C4.4 - Simulating oders with decorators
  Video
- C4.5 - Classes and decorator Counts
  Video
- C4.6 - Time for Generators
  Video
- C4.7 - List vs gerators Space complexity
  Video
- C4.8 - Generator expression and List comprehension
  Video
- C4.9 - Space comparison in List and Generators
  Video
- C4.10 - Threads and Processes
  Video
- C4.11 - Processes and Task Manager
  Video
- C4.12 - Threading and Task Manager
  Video
- C4.13 - threads in networks
  Video
- C4.14 - Threads and Queues
  Video
Chapter 5 - Final Project
43:50m
- C5.1 Processes and Values
  Video
- C5.2 Arrays and Processes
  Video
- C5.3 Processes and Queues
  Video
- C5.4 Processes and Pooling
  Video
- C5.5 CSV Files
  Video
- C5.6 Regular Expression
  Video
- C5.6 regex and emails
  Video
- C5.7 Shortener project solution
  Video
- C5.8 Url Shortener project solution
  Video
Conclusion
0:0m
- One Last Step : Verification
  Resource

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Instructor

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