Plan what to learn for Junior Python Developer

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Hello everyone I want to share with you my training plan from beginner to Junior in Python. It is important to know that it will be effective to learn in exactly this order. Many of the self-taught may be outraged that the Python developer does not need some of this. Your opinion is worthy of attention and I take it into account, so I want to say in advance that this plan is suitable for a junior before applying for a job as a programmer. To know what I described in the tables is not just to be a Python coder, but to really have the skills to develop a project.

I saw that on dev.to there are many beginners who are looking for tips to start in programming. This plan will suit you very well. And most importantly, do not deviate from your goal! Good luck!

Version Conrol	Success criteria
Version Control Basics	Used at least one VCS Performs basic operations like Check in, check out
Common operations with Version Control	Creates new branches Merges branches
Branching strategies	Understands purpose of branching Explains Centralized (Trunk Based) approach Explains GitFlow approach

Version control is needed so that you can competently store your work and create your resume

Python General Information	Success criteria
Code execution - Novice	Interactive shell Script execution
Versions of Python - Intermediate	Differences between 2.x and 3.x in general (print, unicode, etc)

In some points, I have divided one direction by beginner or advanced level, so it is important to follow this order. The learning process of the next topic will be based on the previous one.

Python Types and Operations	Success criteria
Operators - Novice	Types: arithmetic, comparison, assignment, bitwise, logical, membership, identity.
Numbers - Novice	Definitions Decimal, hexadecimal, octal, binary number syntax
Lists - Novice	Definition and properties Basic methods and operations Indexing and slicing list vs tuple
Files - Novice	Definition and properties Basic methods and operations
Dynamic typing - Novice	Definitions
Sets - Novice	Definition and properties Basic methods and operations
Dictionaries - Novice	Definition and properties Basic methods and operations
Shared references - Novice	Equality: == vs is In-place changes
Strings - Novice	Definitions Syntax Different formats: single-, double-quoted, multiline. Special characters Basic operations and methods Indexing and slicing Formatting
Tuples - Novice	Definitions Syntax list vs tuples
Copying procedure	deepcopy, method copy, slicing, etc.
Dictionaries - Intermediate	Iteration and comprehensions
Lists -Advanced	Iteration and comprehensions
Numbers - Advanced	Numeric operations with mixed types. Comparison: normal and chained. Division: classic, floor, true.
Operators - Advanced	Precedence of operators.
Dynamic typing - Advanced	Strong and weak typing
Strings - Advanced	Raw strings Unicode and ASCII strings

Python Statements and Syntax	Success criteria
Condition statements - Novice	if-elif-else
Loop statements - Novice	for, while Control of cycle execution(break, continue, pass)
Condition statements - Intermediate	inline if, ternary operator
Generators - Novice	Definitions
Iterators - Novice	Definitions Built-In iterables.
Loop statements - Intermediate	How to use else in cycles
Generators - Intermediate	yield comprehensions vs generators gen expressions range vs xrange
Iterators - Intermediate	Manual iteration: iter() and next() Iteration protocol. Iterable, Range iterable
Loop statements - Advanced	Implementation details

Functions in Python	Success criteria
Argument-Passing - Novice	required, keyword, default
Argument-Passing - Intermediate	arbitrary argument values,keyword arguments in dictionary
Definition and calls	Syntax
Decorators - Novice	Definitions Standard class Decorators: @classmethod, @staticmethod, @property(getter, setter, deleter)
Functional programming - Novice	map, reduce, filter, zip
Lambda expressions	Definitions Syntax Usage
Argument-Passing - Advanced	When and how many times are default arguments evaluated? Partial
Decorators - Advanced	decorators for functions, decorators for classes wraps passing args to decorators

Modules in Python	Success criteria
Modules in Python - Novice	import packages __ init __ .py - __ name __ and __ main __

OOP in Python	Success criteria
Attribute access - Novice	Direct access Class and instance attributes
Definition and syntax - Novice	OOP definitions classes syntax
Inheritance - Novice	Definitions
Basic customization and Operators overloading - Novice	Definitions
Relations between classes and instances - Novice	Definitions
Abstract base class - Novice	Definition and syntax
Inheritance - Intermediate	Multiple inheritance Classic algorithm Diamond problem MRO, super Mixins
Inheritance - Advanced	C3 algorithm How to change MRO
Context managers - Advanced	Implementation details contextlib decorator with-enabled class

Troubleshooting in Python	Success criteria
Logging fundamentals	Explains purpose of logging. Understands logging levels.
Debugging in Python - Novice	Definitions

Exceptions in Python	Success criteria
Definitions and syntax - Novice	Definitions
Definitions and syntax - Intermediate	Custom exceptions try-except-else, try-finally raise, assert

and Python standard library.

In this series you will find material on all these issues

Write in private messages, in comments, on social networks. I will always try to help everyone

FAQ

I am a beginner, how should I learn Python?

Look into the following series:

Would you mentor me?

Of course I am ready to participate in the training. The big difficulty is that English is not my native language and it will be possible to communicate through a translator

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