Forwarded from Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Azure_Cloud_Security_for_Absolute_Beginners_Enabling_Cloud_Infrastructure.pdf
11.7 MB
Azure Cloud Security for Absolute Beginners Enabling Cloud Infrastructure Security with Multi-Level Security Options (Pushpa Herath)
π4
Forwarded from Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Engineers_Notebook_II_A_Handbook_Of_Integrated_Circuit_Applications.pdf
14.2 MB
Engineers Notebook II
Forrest M Mims, 1982 (scan)
Forrest M Mims, 1982 (scan)
π3
Forwarded from Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
Packt.Hands-On.Graph.Neural.Networks.Using.Python.1804617520.pdf
35.4 MB
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
ΠΠ²ΡΠΎΡ: Maxime Labonne
ΠΠ²ΡΠΎΡ: Maxime Labonne
Packt_SQL_Query_Design_Patterns_and_Best_Practices_1837633282.pdf
14.7 MB
SQL Query Design Patterns and Best Practices: A practical guide to writing readable and maintainable SQL queries using its design patterns
ΠΠ²ΡΠΎΡ: Chi Zhang
ΠΠ²ΡΠΎΡ: Chi Zhang
Introducing Blockchain with Java.pdf
4.7 MB
Introducing Blockchain with Java: Program, Implement, and Extend Blockchains with Java
ΠΠ²ΡΠΎΡ: Spiro Buzharovski
ΠΠ²ΡΠΎΡ: Spiro Buzharovski
For_Dummies_Beginning_Programming_with_Python_For_Dummies_3rd_Edition.pdf
12.7 MB
Beginning Programming with Python For Dummies, 3rd Edition
ΠΠ²ΡΠΎΡ: John Paul Mueller
ΠΠ²ΡΠΎΡ: John Paul Mueller
β€4π2π1
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4. TypeScript
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π5
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6. Go PRogramming
- go.dev
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7. Kotlin
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8. Python
- learnpython.org
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- w3schools.com/r/
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6. Go PRogramming
- go.dev
- learn-golang.org
7. Kotlin
- kotlinlang.org
- t.iss.one/codingwithsagar/327
8. Python
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9. SQL
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10. R Programming
- w3schools.com/r/
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30-day roadmap to learn Python up to an intermediate level
Week 1: Python Basics
*Day 1-2:*
- Learn about Python, its syntax, and how to install Python on your computer.
- Write your first "Hello, World!" program.
- Understand variables and data types (integers, floats, strings).
*Day 3-4:*
- Explore basic operations (arithmetic, string concatenation).
- Learn about user input and how to use the
- Practice creating and using variables.
*Day 5-7:*
- Dive into control flow with if statements, else statements, and loops (for and while).
- Work on simple programs that involve conditions and loops.
Week 2: Functions and Modules
*Day 8-9:*
- Study functions and how to define your own functions using
- Learn about function arguments and return values.
*Day 10-12:*
- Explore built-in functions and libraries (e.g.,
- Understand how to import modules and use their functions.
*Day 13-14:*
- Practice writing functions for common tasks.
- Create a small project that utilizes functions and modules.
Week 3: Data Structures
*Day 15-17:*
- Learn about lists and their operations (slicing, appending, removing).
- Understand how to work with lists of different data types.
*Day 18-19:*
- Study dictionaries and their key-value pairs.
- Practice manipulating dictionary data.
*Day 20-21:*
- Explore tuples and sets.
- Understand when and how to use each data structure.
Week 4: Intermediate Topics
*Day 22-23:*
- Study file handling and how to read/write files in Python.
- Work on projects involving file operations.
*Day 24-26:*
- Learn about exceptions and error handling.
- Explore object-oriented programming (classes and objects).
*Day 27-28:*
- Dive into more advanced topics like list comprehensions and generators.
- Study Python's built-in libraries for web development (e.g., requests).
*Day 29-30:*
- Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development).
- Work on a more complex project that combines your knowledge from the past weeks.
Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Good luck with your Python journey!
Week 1: Python Basics
*Day 1-2:*
- Learn about Python, its syntax, and how to install Python on your computer.
- Write your first "Hello, World!" program.
- Understand variables and data types (integers, floats, strings).
*Day 3-4:*
- Explore basic operations (arithmetic, string concatenation).
- Learn about user input and how to use the
input()
function.- Practice creating and using variables.
*Day 5-7:*
- Dive into control flow with if statements, else statements, and loops (for and while).
- Work on simple programs that involve conditions and loops.
Week 2: Functions and Modules
*Day 8-9:*
- Study functions and how to define your own functions using
def
.- Learn about function arguments and return values.
*Day 10-12:*
- Explore built-in functions and libraries (e.g.,
len()
, random
, math
).- Understand how to import modules and use their functions.
*Day 13-14:*
- Practice writing functions for common tasks.
- Create a small project that utilizes functions and modules.
Week 3: Data Structures
*Day 15-17:*
- Learn about lists and their operations (slicing, appending, removing).
- Understand how to work with lists of different data types.
*Day 18-19:*
- Study dictionaries and their key-value pairs.
- Practice manipulating dictionary data.
*Day 20-21:*
- Explore tuples and sets.
- Understand when and how to use each data structure.
Week 4: Intermediate Topics
*Day 22-23:*
- Study file handling and how to read/write files in Python.
- Work on projects involving file operations.
*Day 24-26:*
- Learn about exceptions and error handling.
- Explore object-oriented programming (classes and objects).
*Day 27-28:*
- Dive into more advanced topics like list comprehensions and generators.
- Study Python's built-in libraries for web development (e.g., requests).
*Day 29-30:*
- Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development).
- Work on a more complex project that combines your knowledge from the past weeks.
Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Good luck with your Python journey!
π9
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10 basic tips to consider when invited/preparing for an online interview:
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8. Prepare on the other job specifics just like you would for a face-to-face interview
9. Dress up like you would for a face-to-face interview.
10. Be all set at least 10 minutes to the start of interview.
10 basic tips to consider when invited/preparing for an online interview:
1. Get to know the online technology that the interviewer(s) will use. Is it a phone call, WhatsApp, Skype or Zoom interview? If not clear, ask.
2. Familiarize yourself with the online tools that youβll be using. Understand how Zoom/Skype works and test it well in advance. Test the sound and video quality.
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6. Mute all notifications on your computer/phone to avoid unnecessary distractions.
7. Ensure that your posture is right. Just because itβs a remote interview does not mean you slouch on your couch. Maintain an upright posture.
8. Prepare on the other job specifics just like you would for a face-to-face interview
9. Dress up like you would for a face-to-face interview.
10. Be all set at least 10 minutes to the start of interview.
π9