200+ Exercises – Practical Python Bootcamp
200+ Exercises – Practical Python Bootcamp, available at $34.99, with 422 lectures, and has 28 subscribers.
You will learn about Solve 200+ exercises in Python Work with real-world, practical problems Lists, Dictionaries, Tuples, JSON, APIs and more Guaranteed instructor support This course is ideal for individuals who are Anyone who wants to learn by doing or Anyone who wants to improve Python programming skills or Anyone who wants to prepare for a Python interview or Anyone wanting to solidify their Python 3 programming knowledge and skills using hundreds of coding exercises It is particularly useful for Anyone who wants to learn by doing or Anyone who wants to improve Python programming skills or Anyone who wants to prepare for a Python interview or Anyone wanting to solidify their Python 3 programming knowledge and skills using hundreds of coding exercises.
Enroll now: 200+ Exercises – Practical Python Bootcamp
Summary
Title: 200+ Exercises – Practical Python Bootcamp
Price: $34.99
Number of Lectures: 422
Number of Published Lectures: 422
Number of Curriculum Items: 422
Number of Published Curriculum Objects: 422
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Solve 200+ exercises in Python
- Work with real-world, practical problems
- Lists, Dictionaries, Tuples, JSON, APIs and more
- Guaranteed instructor support
Who Should Attend
- Anyone who wants to learn by doing
- Anyone who wants to improve Python programming skills
- Anyone who wants to prepare for a Python interview
- Anyone wanting to solidify their Python 3 programming knowledge and skills using hundreds of coding exercises
Target Audiences
- Anyone who wants to learn by doing
- Anyone who wants to improve Python programming skills
- Anyone who wants to prepare for a Python interview
- Anyone wanting to solidify their Python 3 programming knowledge and skills using hundreds of coding exercises
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Practice and boost your Python 3 skills with 200+ coding exercises
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Practice with real-world, practical exercises
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No slides, no boring theory, no rambling, just pure practice
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I am the BEST SELLER instructor on Udemy
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Best Python course “Python for Financial Markets Analytics”
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Ex-Bloomberg person with 17+ years of financial markets experience
Why would you take this course?
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I want to become a better Python Developer with practical hands-on experiencewithout having to spend a lot of money on books and boring theoretical courses?
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I want to expand and solidify my Python skills in an organized way, with the help of 200+ coding exercises?
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I want to prepare for an interview and upgrade your career in a 100% hands-on fashion, with instructor support available?
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The course is taught by a practical experience person. Ex-Bloomberg for 17+ years, build multiple financial markets companies
Then, Welcome to 200+ Exercises – Practical Python Bootcamp!In this course, you can test your Python programming skills and more with 200+ hands on practical, real-world examples.
Topics covered in these exercises are:
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print() function
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calculations in Python
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strings, and strmethods
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various data types
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List
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Dictionaries
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Tuples
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Sets
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Array slicing
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program flow control
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if statement
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for loops
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breakstatement
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continuestatement
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whileloops
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exception handling
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input/output
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reading files
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saving to files
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built-in functions
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defining your own functions
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Lambdaexpression
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generators
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setcomprehension
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listcomprehension
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dict comprehension
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JSON objects
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built-in modules
This course is designed for people who have basic knowledge in Python. These practical exercises will help you to improve your Python programming skills sets and even help you to be well prepare for your Python interviews and more.
Important information before you enroll!
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In case you find the course not suitable, don’t forget you are covered by a 30-day money back guarantee.
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Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).
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You will have instant and free access to any updates I’ll add to the course – additional resources, quizzes, exercises and more.
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You will benefit from my full support regarding any question you might have and your course colleagues will help you as well!
Boost your Practical Python skills and take your job and career to the next level!
Let’s get started! Enroll now and I’ll see you in the first lecture!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: —– GETTING STARTED —–
Lecture 1: Intro
Chapter 3: print() function
Lecture 1: The print() function
Lecture 2: Print your python version
Lecture 3: Solution – Print your Python version
Lecture 4: Print text string
Lecture 5: Solution – Print text string
Lecture 6: Assign variable and print variable
Lecture 7: Solution – Assign variable and print variable
Lecture 8: Print with dynamic variables
Lecture 9: Solution – Print with dynamic variables
Lecture 10: Supply variables as arguments
Lecture 11: Solution – Supply variables as arguments
Lecture 12: Formatting decimal places
Lecture 13: Solution – Formatting decimal places
Lecture 14: Print characters multiple times
Lecture 15: Solution – Print characters multiple times
Lecture 16: Using sep arguments to separate strings
Lecture 17: Solution – Using sep arguments to separate strings
Chapter 4: Data Types
Lecture 1: Value to float
Lecture 2: Solution – Value to float
Lecture 3: Value to a list
Lecture 4: Solution – Value to a list
Lecture 5: Value to a frozenset
Lecture 6: Solution – Value to a frozenset
Lecture 7: Value to a binary representation
Lecture 8: Solution – Value to a binary representation
Chapter 5: Strings
Lecture 1: Get index of a character
Lecture 2: Solution – Get index of a character
Lecture 3: # of occurrences
Lecture 4: Solution – # of occurrences
Chapter 6: Tuples
Lecture 1: Using range()
Lecture 2: Solution – Using range()
Lecture 3: Selective range
Lecture 4: Solution – Selective range
Lecture 5: Inverse range
Lecture 6: Solution – Inverse range
Lecture 7: Using step
Lecture 8: Solution – Using step
Lecture 9: Split list into all possible tuple pairs
Lecture 10: Solution – Split list into all possible tuple pairs
Lecture 11: Multiply adjacent elements
Lecture 12: Solution – Multiply adjacent elements
Lecture 13: All pair combinations of tuples
Lecture 14: Solution – All pair combinations of tuples
Lecture 15: Test if tuple is distinct
Lecture 16: Solution – Test if tuple is distinct
Lecture 17: Sort a list of tuples by second Item
Lecture 18: Solution – Sort a list of tuples by second Item
Lecture 19: Elements frequency in tuple
Lecture 20: Solution – Elements frequency in tuple
Lecture 21: Count tuples occurrence
Lecture 22: Solution – Count tuples occurrence
Lecture 23: Remove duplicate lists in tuples but preserving order
Lecture 24: Solution – Remove duplicate lists in tuples but preserving order
Lecture 25: Skew nested tuple summation
Lecture 26: Solution – Skew nested tuple summation
Lecture 27: Perform AND operation between tuples
Lecture 28: Solution – Perform AND operation between tuples
Lecture 29: Cross pairing in tuple list
Lecture 30: Solution – Cross pairing in tuple list
Chapter 7: Dictionaries
Lecture 1: What is dictionaries
Lecture 2: Getting value from an index
Lecture 3: Solution – Getting value from an index
Lecture 4: Check size of the dictionary
Lecture 5: Solution – Check size of the dictionary
Lecture 6: Check key existence
Lecture 7: Solution – Check key existence
Lecture 8: Dictionaries to tuples
Lecture 9: Solution – Dictionaries to tuples
Lecture 10: Get smallest key
Lecture 11: Solution – Get smallest key
Lecture 12: Favorite numbers
Lecture 13: Solution – Favorite numbers
Lecture 14: Sum of all items
Lecture 15: Solution – Sum of all items
Lecture 16: Sort list of dictionaries by values
Lecture 17: Solution – Sort list of dictionaries by values
Lecture 18: Merge dictionaries together
Lecture 19: Solution – Merge dictionaries together
Lecture 20: Calculate mean value
Lecture 21: Solution – Calculate mean value
Lecture 22: Maximum record value key in dictionary
Lecture 23: Solution – Maximum record value key in dictionary
Lecture 24: Find all duplicates in a string
Lecture 25: Solution – Find all duplicates in a string
Lecture 26: Group similar items
Lecture 27: Solution – Group similar items
Lecture 28: Remove duplicate values across dictionary values
Lecture 29: Solution – Remove duplicate values across dictionary values
Lecture 30: Extract values of particular key in nested values
Lecture 31: Solution – Extract values of particular key in nested values
Lecture 32: Key with maximum unique values
Instructors
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Adnan Waheed
Founder KlickAnalytics and ex-Bloomberg employee
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Frequently Asked Questions
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