Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
15 Hour(s) 17 Minute(s)
Language
English
Taught by
Dmitry Yedunov
Rating
1 views
Course Overview
Learn Python Programming. A Premium level course with over 500 examples! No prior knowledge is needed.
This course is for students that are not familiar with Python at all, NO PRIOR KNOWLEDGE is required.
And as well as for experienced programmers who are familiar with other languages, but are wishing to know Python as well.
If you are interested in becoming a Python Ninja, this course will provide you the right set of tools to program in Python as real professionals.
The course brings all core topics of Python in an perfectly ordered structured way, and as such, all topics will be broken down into these 4 parts:
Theory lecture
Example in code lecture
Homework - Going over the assignments
Homework - Resolving the assignments
Course's Unique Approach:
1) 'Python Coding Conventions' are a set of global rules of coding structure, that will be discussed deeply for each topic during the course, which will make the difference between 'Medium' and 'Professional' programmer. Naming Conventions is an important subtopic that is rarely discussed in online courses, but can easily be fail you in job interviews.
2) High Focus On Examples And Homework Across The Course:
This course is focused on what I was missing, back in the days when I took my Python Online course, EXAMPLES.
The course will bring you over 500 examples, and challenging homework assignments for each topic.
use comparison to check your answers vs instructor's attached source code at the end of every 'practice' session.
3) High Focus On Independent Programming - Observation On Every Possible Angle For Each Topic:
You will get lots of examples for each topic & sub-topic so don't be surprised if you can handle complicated assignments in programming once you complete this course. During the homework, In some cases the students will be guided to look the answers in Google and Stack-overflow, an important skill that every professional programmer should have.
The Lecturer of the course, Dmitry, is an experienced Team Leader from the IT / Fintech industry.
Join and be a part of the future, learn all Pythons core topics and become a Python Ninja.
Course's Syllabus is the following :
Installations of PyCharm - Most popular IDE (Where we write our code)
Installations of Python , step-by-step configurations
Variables - Strings
Variables - String Formatting
Variables - Integers
Variables - Float
Comparison Operators & Boolean Variables
Collections - List
Collections - Dictionary
Collections - Set
Collections - Tuple
Conditions - 'If' and 'Else' Statements
Loops - While
Loops - For
Objects Oriented Programming - Method
Objects Oriented Programming - Classes
Objects Oriented Programming - Inheritance
Exception Handling - Try / Exception
Exception Handling - Types Of Exceptions
Version Control - Github
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The recommended resolution to watch course's videos is 1080 HD
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key-words : programming,python,developer,web developer, beginner, course, udemy course, for beginners, variable, variables, collections, dictionary,set, list, tuple, string, float, integer, if statement, for loop, while loop, OOP, Objects Oriented Programming, try, except, pycharm, web developer, web development, automation developer, qa, qa engineer, debugging, debug, git, github, source-tree, sourcetree, agile, bug, jira, lifecycle,
Course Content
- 10 section(s)
- 76 lecture(s)
- Section 1 Short Introduction Before We Begin
- Section 2 Installations and Configurations
- Section 3 Variables | String
- Section 4 Variables | Integer & Float
- Section 5 Operators | Comparisson Operators & Boolean Variables
- Section 6 Collections | List
- Section 7 Collections | Dictionary
- Section 8 Collections | Set
- Section 9 Collections | Tuple
- Section 10 'if' Statement
What You’ll Learn
- Learn Python from ZERO on the latest version -> Python 3.x
- Learn how to install Python language and configure it on your computer
- Learn Python From A Real Team Lead that currently works in the IT industry
- Learn how to use Object Oriented Programming - OOP
- You will learn all questions that would be asked in interviews - It will be easy to find a job that way
- Learn how to use Data collections, variables, lists, if statements, error handling and much more
- Learn best practice implementations - Coding conventions which are global rules of programming
- Get over 3 hours of LIVE CODE sessions
- Learn to Test, Debug and Handle Errors in your Python programs
- Learn Functional Programming
- For each topic you will first learn the theoretial part -> and then you'll go through a practice part for that same topic
- Structured learning - each Topic is braken down into small indepth explanations
- BONUS : Learn how to use version control with GitHub
- Learn How to write code in the right way, Use Global Coding Conventions
Skills covered in this course
Reviews
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DDestiny Vbenosa Osadolor
Good
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AAhmed Bin Khalid
It was my first ever course on Udemy and I have made the best choice by selecting Dimitry as my instructor, he is a perfect teacher for all the leaners who want to learn how to code from zero, He is a perfect instructor, a nice personality having unique and easy teaching technique. Thanks Sir
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TThankGod Chukwuebuka Alexander
This would definitely be my go to whenever I need to refresh on some python knowledge. The instructor is very knowledgeable in python and I enjoyed every bit of the course.
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SSheri F
Excellent course! It's well-organized with a logical progression that builds upon topics previously learned. Though this is not the first Python course I have done I'm glad I took the time to go back over the basics as Dimitry gives a lot of useful industry tips often not discussed in other courses, and without rambling off topic. Theory, demo in practice, DIY, and lots of encouragement along the way. And there's a good balance of push to challenge and growth without feeling like you're being fed to the sharks. Though I don't normally like long video clips (luckily the majority aren't what I would call too long), I can stick with it because Dimitry makes it fun and relatable. I prefer watching videos at high speed with the transcript, and this is no problem as his non-native English is excellent. My only nitpick is the leaving of occasional implementation errors in execution of the code, which might throw off a detail-oriented newbie, but with understanding I come to realize they don't detract from the main point of the topic at hand. But maybe this is a good thing because it simulates the real world. I wish I had taken this course first as a Python newbie, but I still have room to grow on my journey to becoming a Python software development ninja.
