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#Python #LearnPython #Coding #JupyterNotebooks #OpenSource #FreeLearning #DataScience #Programming #TechEducation #AllenDowney #ThinkPython
- Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects.
- Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live.
- Free & Open Source: Licensed under CC BY-NC-SAβdownload, share, and contribute!
- From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*).
- Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.
- Updated for modern Python 3 practices.
- Fully integrated Jupyter notebooks for interactive learning.
- Expanded exercises and case studies.
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#Python3 #CodeForFree #InteractiveLearning β Unlock Pythonβs power, one notebook at a time!
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80 Python Interview Questions.pdf
410.4 KB
- Covers frequently asked questions in Python interviews
#Python #DataScience #Programming #InterviewPrep #Coding #PythonInterview #TechInterview #DataScientist #PythonProgramming #LearnPython #CodeNewbie #CareerGrowth #TechJobs #PythonCode #PythonTips
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π Unlock the Power of Automation with the Google IT Automation with Python Professional Certificate! π
Are you ready to take your IT skills to the next level? This professional certificate, offered by Google, is designed to help beginners and IT professionals master the art of automation using Python. Whether you're managing systems, automating tasks, or troubleshooting complex issues, this course equips you with the tools and knowledge to excel in today's tech-driven world. π»β¨
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This program is hosted on Coursera and consists of multiple modules, making it beginner-friendly yet comprehensive enough for experienced learners. By the end of the course, you'll have a Professional Certificate from Google, a credential recognized by top employers worldwide. π
π Enroll Now: https://www.coursera.org/professional-certificates/google-it-automation
### Why Choose This Course?
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Are you ready to take your IT skills to the next level? This professional certificate, offered by Google, is designed to help beginners and IT professionals master the art of automation using Python. Whether you're managing systems, automating tasks, or troubleshooting complex issues, this course equips you with the tools and knowledge to excel in today's tech-driven world. π»β¨
### What You'll Learn:
β Python Programming: Master the fundamentals of Python, one of the most versatile programming languages.
β Automation Techniques: Automate repetitive tasks, manage system configurations, and streamline workflows.
β IT Best Practices: Learn version control with Git, debugging, and problem-solving strategies.
β Real-World Projects: Gain hands-on experience through practical projects that simulate real-world IT challenges.
β Career-Ready Skills: Prepare for in-demand roles like IT Support Specialist, Systems Administrator, and Automation Engineer.
This program is hosted on Coursera and consists of multiple modules, making it beginner-friendly yet comprehensive enough for experienced learners. By the end of the course, you'll have a Professional Certificate from Google, a credential recognized by top employers worldwide. π
π Enroll Now: https://www.coursera.org/professional-certificates/google-it-automation
### Why Choose This Course?
- Industry-Recognized Certification: Boost your resume with a credential from Google.
- Flexible Learning: Study at your own pace with online access.
- Hands-On Experience: Apply what you learn through interactive labs and projects.
- Job Opportunities: Open doors to high-paying roles in IT and tech.
Donβt miss this chance to future-proof your career with automation skills that are in demand across industries! π
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βοΈ Tags:
#PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython
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Python for Beginners%22 booklet.pdf
20 MB
βPython for Beginnersβ is a concise and well-structured booklet tailored for anyone starting their Python programming journey. Instead of relying on expensive courses or scattered online content, this PDF organizes Python fundamentals in a clear, logical manner β from variables and data types to functions, loops, and modules. It's perfect for beginners who want a solid foundation and a guided learning path without the overwhelm.
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A huge cheat sheet for Python.pdf
357.5 KB
#Python #CheatSheet #PythonTips #LearnPython #PythonProgramming #CodingResources #PythonDevelopers #PythonBasics #CodeFaster #PythonGuide
βοΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBkπ± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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https://realpython.com/replace-string-python/
#Python #StringManipulation #PythonTips #LearnPython #PythonBasics #CodeSnippets #RealPython #PythonForBeginners #PythonDev
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ππΊ Interacting With REST APIs and Python [Video]
https://realpython.com/courses/interacting-rest-apis-python/
#Python #RESTAPI #APIsWithPython #WebDevelopment #PythonTutorial #RealPython #BackendDevelopment #HTTPRequests #APIIntegration #LearnPython
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Exercises Course: Introduction to Web Scraping With Python
Web scraping is the process of collecting and parsing raw data from the Web, and the Python community has come up with some pretty powerful web scraping tools.
In this course, youβll practice:
- Parsing website data using string methods and regular expressions
- Parsing website data using an HTML parser
- Interacting with forms and other website components
Enroll: https://realpython.com/courses/exercises-introduction-web-scraping/
Web scraping is the process of collecting and parsing raw data from the Web, and the Python community has come up with some pretty powerful web scraping tools.
In this course, youβll practice:
- Parsing website data using string methods and regular expressions
- Parsing website data using an HTML parser
- Interacting with forms and other website components
Enroll: https://realpython.com/courses/exercises-introduction-web-scraping/
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π Python GUI Programming π
Does your Python program need a Graphical User Interface (GUI)? With this learning path you'll develop your Python GUI programming skills from scratch
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Link: https://realpython.com/learning-paths/python-gui-programming/
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Does your Python program need a Graphical User Interface (GUI)? With this learning path you'll develop your Python GUI programming skills from scratch
#python #learnpython
Link: https://realpython.com/learning-paths/python-gui-programming/
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π‘ Python Exam Cheatsheet
A quick review of core Python concepts frequently found in technical assessments and exams. This guide covers list comprehensions, dictionary methods,
β’ List Comprehension: A concise, one-line syntax for creating lists.
β’ The structure is
β’ The
β’ Dictionary
β’ The first argument is the key to look up.
β’ The optional second argument is the default value to return if the key does not exist.
β’ Using
β’ It returns a tuple
β’
β’
β’ This pattern allows a function to accept a variable number of arguments.
#Python #PythonExam #Programming #CodeCheatsheet #LearnPython
βββββββββββββββ
By: @DataScience4 β¨
A quick review of core Python concepts frequently found in technical assessments and exams. This guide covers list comprehensions, dictionary methods,
enumerate, and flexible function arguments.# Create a list of squares for even numbers from 0 to 9
squares = [x**2 for x in range(10) if x % 2 == 0]
print(squares)
# Output:
# [0, 4, 16, 36, 64]
β’ List Comprehension: A concise, one-line syntax for creating lists.
β’ The structure is
[expression for item in iterable if condition].β’ The
if condition part is optional and acts as a filter.student_scores = {'Alice': 95, 'Bob': 87}
# Safely get a score, providing a default value if the key is missing
charlie_score = student_scores.get('Charlie', 'Not Found')
alice_score = student_scores.get('Alice', 'Not Found')
print(f"Alice: {alice_score}")
print(f"Charlie: {charlie_score}")
# Output:
# Alice: 95
# Charlie: Not Foundβ’ Dictionary
.get() Method: Safely access a dictionary key without causing a KeyError.β’ The first argument is the key to look up.
β’ The optional second argument is the default value to return if the key does not exist.
colors = ['red', 'green', 'blue']
for index, value in enumerate(colors):
print(f"Index: {index}, Value: {value}")
# Output:
# Index: 0, Value: red
# Index: 1, Value: green
# Index: 2, Value: blue
β’ Using
enumerate: The Pythonic way to loop over an iterable when you need both the index and the value.β’ It returns a tuple
(index, value) for each item in the sequence.def process_data(*args, **kwargs):
print(f"Positional args (tuple): {args}")
print(f"Keyword args (dict): {kwargs}")
process_data(1, 'hello', 3.14, user='admin', status='active')
# Output:
# Positional args (tuple): (1, 'hello', 3.14)
# Keyword args (dict): {'user': 'admin', 'status': 'active'}
β’
*args: Collects all extra positional arguments into a tuple.β’
**kwargs: Collects all extra keyword arguments into a dictionary.β’ This pattern allows a function to accept a variable number of arguments.
#Python #PythonExam #Programming #CodeCheatsheet #LearnPython
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By: @DataScience4 β¨
100 Python Examples: A Step-by-Step Guide
#Python #Programming #Tutorial #LearnPython
π π π π π
#Python #Programming #Tutorial #LearnPython
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100 Python Examples: A Step-by-Step Guide
#Python #Programming #Tutorial #LearnPython
Part 1: The Basics (Examples 1-15)
#1. Print "Hello, World!"
The classic first program.
#2. Variables and Strings
Store text in a variable and print it.
#3. Integer Variable
Store a whole number.
#4. Float Variable
Store a number with a decimal point.
#5. Boolean Variable
Store a value that is either
#6. Get User Input
Use the
#7. Simple Calculation
Perform a basic arithmetic operation.
#8. Comments
Use
#9. Type Conversion (String to Integer)
Convert a user's input (which is a string) to an integer to perform math.
#10. String Concatenation
Combine multiple strings using the
#11. Multiple Assignment
Assign values to multiple variables in one line.
#12. The
Check the data type of a variable.
#13. Basic Arithmetic Operators
Demonstrates addition, subtraction, multiplication, and division.
#14. Floor Division and Modulus
#15. Exponentiation
Use
---
Part 2: String Manipulation (Examples 16-25)
#16. String Length
Use
#Python #Programming #Tutorial #LearnPython
Part 1: The Basics (Examples 1-15)
#1. Print "Hello, World!"
The classic first program.
print() is a function that outputs text to the console.print("Hello, World!")Hello, World!
#2. Variables and Strings
Store text in a variable and print it.
message = "I am learning Python."
print(message)
I am learning Python.
#3. Integer Variable
Store a whole number.
age = 30
print("My age is:", age)
My age is: 30
#4. Float Variable
Store a number with a decimal point.
price = 19.99
print("The price is:", price)
The price is: 19.99
#5. Boolean Variable
Store a value that is either
True or False.is_learning = True
print("Am I learning?", is_learning)
Am I learning? True
#6. Get User Input
Use the
input() function to get information from the user.name = input("What is your name? ")
print("Hello, " + name)What is your name? Alice
Hello, Alice
#7. Simple Calculation
Perform a basic arithmetic operation.
a = 10
b = 5
print(a + b)
15
#8. Comments
Use
# to add comments that Python will ignore.# This line calculates the area of a rectangle
length = 10
width = 5
area = length * width
print("Area is:", area)
Area is: 50
#9. Type Conversion (String to Integer)
Convert a user's input (which is a string) to an integer to perform math.
age_str = input("Enter your age: ")
age_int = int(age_str)
next_year_age = age_int + 1
print("Next year you will be:", next_year_age)Enter your age: 25
Next year you will be: 26
#10. String Concatenation
Combine multiple strings using the
+ operator.first_name = "John"
last_name = "Doe"
full_name = first_name + " " + last_name
print(full_name)
John Doe
#11. Multiple Assignment
Assign values to multiple variables in one line.
x, y, z = 10, 20, 30
print(x, y, z)
10 20 30
#12. The
type() FunctionCheck the data type of a variable.
num = 123
text = "hello"
pi = 3.14
print(type(num))
print(type(text))
print(type(pi))
<class 'int'>
<class 'str'>
<class 'float'>
#13. Basic Arithmetic Operators
Demonstrates addition, subtraction, multiplication, and division.
a = 15
b = 4
print("Addition:", a + b)
print("Subtraction:", a - b)
print("Multiplication:", a * b)
print("Division:", a / b)
Addition: 19
Subtraction: 11
Multiplication: 60
Division: 3.75
#14. Floor Division and Modulus
// for division that rounds down, and % for the remainder.a = 15
b = 4
print("Floor Division:", a // b)
print("Modulus (Remainder):", a % b)
Floor Division: 3
Modulus (Remainder): 3
#15. Exponentiation
Use
** to raise a number to a power.power = 3 ** 4 # 3 to the power of 4
print(power)
81
---
Part 2: String Manipulation (Examples 16-25)
#16. String Length
Use
len() to get the number of characters in a string.my_string = "Python is fun"
print(len(my_string))
13
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