Python training [EN]

Intro

Intro

• 1. Intro
  • 1.1. About Python
  • 1.2. Usage
  • 1.3. Who’s using
• 2. Installation
  • 2.1. Windows
  • 2.2. Mac
  • 2.3. Linux
  • 2.4. Source code
• 3. Python run environment
  • 3.1. Virtual Environment (venv)
  • 3.2. Global environment
  • 3.3. Environment in container
  • 3.4. Creation of new environment
  • 3.5. Installation of new packages inside of environment
  • 3.6. Exercise
• 4. Ide
  • 4.1. pyCharm
  • 4.2. Visual Studio Code
  • 4.3. Eclipse
  • 4.4. Spyder
  • 4.5. IDLE
• 5. Python
  • 5.1. Structured programming
  • 5.2. Object programming
  • 5.3. Functional programming
  • 5.4. Dynamic typing
  • 5.5. Garbage collector
  • 5.6. Passing by reference instead of by value
• 6. Python shells
  • 6.1. python
  • 6.2. ipython
  • 6.3. jupyter-notebook

Basics

Basic

• 1. Strings
  • 1.1. Printing strings
  • 1.2. Defining strings
  • 1.3. Checking types
  • 1.4. Checking length of string
  • 1.5. Printing special characters
  • 1.6. String concatenation
  • 1.7. String concatenation - format
  • 1.8. Different representations - format
  • 1.9. Functions available on srings
  • 1.10. Substrings
  • 1.11. Splitting strings
  • 1.12. Operations of strings
  • 1.13. Checking if string is a digit
  • 1.14. String as uppercase
  • 1.15. String as lowercase
  • 1.16. Exercise
• 2. Integer number
  • 2.1. Defining
  • 2.2. Checking types
  • 2.3. Converting types
  • 2.4. Operations on digits
  • 2.5. Adding
  • 2.6. Integer division
  • 2.7. Modulo division
• 3. Float numbers
  • 3.1. Defining
  • 3.2. Checking type
  • 3.3. Type conversion
  • 3.4. Interesting facts
  • 3.5. Exercise
• 4. Lists
  • 4.1. Defining
  • 4.2. Checking type
  • 4.3. Operation on lists
  • 4.4. Type conversion
  • 4.5. Exercises part 1
  • 4.6. Exercised part 2
• 5. Dictionaries
  • 5.1. Defining
  • 5.2. Checking type
  • 5.3. Operations on dictionary
  • 5.4. Exercises
• 6. Set
  • 6.1. Defining
  • 6.2. Checking type
  • 6.3. Operation on sets
  • 6.4. Immutable sets
  • 6.5. Implementation
  • 6.6. Exercises - part 1
  • 6.7. Exercises - part 2

Code flow

Controling the flow

• 1. If else statements
  • 1.1. Conversion of list into boolean
  • 1.2. Checking bool values
  • 1.3. Checking ranges
  • 1.4. Exercises - part 1
    • 1.4.1. Exercises - part 2
    • 1.4.2. Exercises - part 3
• 2. Loops
  • 2.1. for loop
  • 2.2. while
  • 2.3. iterate over iterables
  • 2.4. Exercise - part 1
  • 2.5. Exercise - part 2
• 3. List/Dict/Set comprehensions
  • 3.1. Dict comprehension
  • 3.2. Set comprehension
  • 3.3. Exercise part 1
  • 3.4. Exercise part 2
  • 3.5. Exercise part 3
• 4. Functions
  • 4.1. Function with parameteres
  • 4.2. Args
  • 4.3. Kwargs
  • 4.4. Exercises part 1
  • 4.5. Exercises part 2
  • 4.6. Exercises part 3
  • 4.7. Exercises part 4
• 5. Exceptions
  • 5.1. Syntax Errors
  • 5.2. Key Errors
  • 5.3. Attribute error
  • 5.4. Indentation Error
  • 5.5. ModuleNotFoundError
  • 5.6. IndexError
  • 5.7. Exception handling
  • 5.8. Raising an exception
  • 5.9. Exercises part 1
• 6. Iterators
  • 6.1. Iterators vs lists
  • 6.2. Defining iterators
  • 6.3. Zip
  • 6.4. Exercises
• 7. Generators
  • 7.1. Expression as generator
  • 7.2. Function as generator
  • 7.3. Exercises part 1
  • 7.4. Exercises part 2

Standard library

Standard library

• 1. Stdlib
  • 1.1. Pickling
  • 1.2. Dump
  • 1.3. Load
  • 1.4. Exercise
• 2. Files operations
  • 2.1. Files reading
  • 2.2. Reading line by line
  • 2.3. Saving
  • 2.4. Context manager
• 3. Regular expressions
  • 3.1. Import
  • 3.2. Usage
  • 3.3. Functions withing re package
  • 3.4. Characters classes
  • 3.5. Exercise - part 1
  • 3.6. Exercise - part 2
  • 3.7. Exercise - part 3
  • 3.8. Exercise - part 4
  • 3.9. Resources

Object programming

Object programming

• 1. Object oriented programming
  • 1.1. Class creation
  • 1.2. Constructor
  • 1.3. Self
  • 1.4. Instance vs class
  • 1.5. Class variables
  • 1.6. Special methods
  • 1.7. Composition
  • 1.8. Aggregation
  • 1.9. Composition vs Aggregation
  • 1.10. Example
  • 1.11. Checking types
  • 1.12. Exercises - part 1
  • 1.13. Exercises - part 2
  • 1.14. Exercises - part 2

Network

Network

• 1. Paramiko
  • 1.1. Installation
  • 1.2. Connection
  • 1.3. Using sftp
• 2. Smtplib
  • 2.1. Example code
  • 2.2. Yagmail

Pandas

Pandas

• 1. Pandas
  • 1.1. Installing packages in jupyter-notebook
  • 1.2. Importing pandas and matplotlib
  • 1.3. File we will be working on
  • 1.4. Downloading using request
  • 1.5. Reading text file
  • 1.6. Simple EDA
  • 1.7. Clean up
    • 1.7.1. Check if deleted
  • 1.8. Simple EDA
  • 1.9. Exercise - report creation

Django

Django

• 1. Docker
  • 1.1. What for
  • 1.2. How it works
  • 1.3. Definition
  • 1.4. Exercise - part 1
• 2. docker-compose
  • 2.1. Why
  • 2.2. Definition
  • 2.3. Exercise 1
• 3. Web api - Django
  • 3.1. Creation of virtual env
  • 3.2. Instalation
  • 3.3. Creation of dependencies
  • 3.4. Creation of new project
  • 3.5. Create of new app
  • 3.6. Check in browser
  • 3.7. Adjust settings
  • 3.8. Tests creation
  • 3.9. Test execution
  • 3.10. Model creation
  • 3.11. Creation and execution of migations
  • 3.12. Checking of sql migrations code
  • 3.13. Execution of test after migrations
  • 3.14. Addint view test
  • 3.15. Serializer
  • 3.16. Adding view
  • 3.17. Add urls
  • 3.18. Methods
  • 3.19. HTTP codes
  • 3.20. Requests
  • 3.21. Responses
  • 3.22. Settings
  • 3.23. View
  • 3.24. Migations
  • 3.25. Orm
  • 3.26. Django extensions
  • 3.27. Practice
    • 3.27.1. Zero
    • 3.27.2. First
    • 3.27.3. Second
    • 3.27.4. Third

Contact

contact

• Contact

Indices and tables

• Index

• Module Index

• Search Page