Intermediate Python Programming

Name: Intermediate Python Programming Course
Price: 36 USD

with Martin Ganchev

4.8/5

(856)

Boost your Python programming skills: Learn advanced text manipulation and efficient coding techniques

1 hour of content 6427 students

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What you get:

1 hour of content
11 Coding exercises
12 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Intermediate Python Programming

A course by Martin Ganchev

Start for Free

What you get:

1 hour of content
11 Coding exercises
12 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

$99.00

Lifetime access

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Start for Free

What you get:

1 hour of content
11 Coding exercises
12 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

What You Learn

Acquire key Python skills that serve as stepping stones towards Python proficiency
Boost your skills when it comes to working with text data and argument specifiers
Enhance the handling efficiency of your Python code with list comprehensions
Understand and apply anonymous (Lambda) functions to simplify and improve your Python code
Take advantage of Python’s nested for loops to solve complex problems with multi-level iteration
Become a proficient Python programmer

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

This course is short yet intense. We assume you’re no stranger to Jupyter and Python fundamentals, such as conditionals, functions, sequences, and iterations. Nevertheless, a lack of experience working with text data, list comprehensions, and anonymous (Lambda) functions would immediately reveal to your data science colleagues that coding in Python hasn’t become second nature. In the following sections, we explain these intermediate programming tools in detail and provide an extensive set of exercises to ensure your ability to comply with today’s best practices in the field.

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1.1 Course Introduction

3 min

2.1 Dealing with Text Data and Argument Specifiers

9 min

2.3 Working with Python Strings at the Next Level

4 min

2.5 Exploring Python String Methods - Part I

7 min

2.7 Exploring Python String Methods - Part II

7 min

3.1 The Concept of Iterating Over Range Objects in Python

4 min

Curriculum

1. Intermediate Python Programming - Introduction

2 Lessons 5 Min

What are intermediate Python tools, and why do we need to learn and practice them?

Course Introduction
3 min
Python Refresher and Setting Up the Environment Read now
2 min
2. Working with Text Data in Python

6 Lessons 41 Min

Whether you use Python for general programming or analytics, you’ll not only manage quantitative data; you’ll also need to clean and preprocess vast amounts of text data. This section covers various tools—such as argument specifiers and string accessors—to help you manipulate text data. We’ll also work with widely-applicable Python string methods, such as .split(), .strip(), and .format().

Dealing with Text Data and Argument Specifiers
9 min
Working with Python Strings at the Next Level
4 min
Exploring Python String Methods - Part I
7 min
Exploring Python String Methods - Part II
7 min
Learning How to Use String Accessors
5 min
Working with the .format() Method
9 min
3. Nested for Loops, List Comprehensions, and Anonymous Functions

5 Lessons 32 Min

Once accustomed to manipulating text data, doors will open for you to employ several tools that will optimize the use of iterations and functions to the highest level. You’ll learn and apply iteration over range objects, nested for loops, list comprehensions, and anonymous (Lambda) functions.

The Concept of Iterating Over Range Objects in Python
4 min
Introduction to Nested For Loops
6 min
Working with Triple Nested For Loops
6 min
Using List Comprehensions
9 min
Working with Anonymous (Lambda) Functions
7 min

Topics

JupyterProgrammingList ComprehensionsNested LoopsWorking with Text DataPythonAnonymous (Lambda) FunctionsProgramming

Tools & Technologies

Course Requirements

Highly recommended to take the Intro to Python course first
You will need to install the Anaconda package, which includes Jupyter Notebook

Who Should Take This Course?

Level of difficulty: Intermediate

Aspiring data analysts, data scientists, data engineers, AI engineers
Existing data analysts, data scientists, data engineers who want to boost their Python programming skills
Graduate students who need Python for their studies
Everyone who wants to learn how to code in Python

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Martin Ganchev

Worked at

15 Courses

37657 Reviews

558426 Students

Martin began working with 365 in 2016 as the company’s second employee. Martin’s resilience, hard-working attitude, attention to detail, and excellent teaching style played an instrumental role in 365’s early days. He authored some of the firm’s most successful courses. And besides teaching, Martin dreams about becoming an actor. In September 2021, he enrolled in an acting school in Paris, France.