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Python Tricks and Hacks for Productivity

By the end of this project, you are going to be an more complete Python user, and will have an better grasp of several techniques and tips which increases coding speed and conciseness. This will be useful for anyone who uses Python regularly, including data scientists, software engineers, technicians and hobbyists. Note: This course works best for learners who are based in the North America region. Weâ€™re currently working on providing the same experience in other regions.

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Strengthens Python knowledge foundation by teaching techniques, tips, and tricks for speed and conciseness

Strong fit for data scientists, software engineers, technicians, and hobbyists

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Reviews summary

Python tricks and hacks

Suitable for intermediate-level Python users, this course is full of tips to increase coding speed and conciseness for data scientists, software engineers, technicians, and hobbyists. Reviews are mixed regarding the instructor's accent, with some reviewers finding it difficult to understand. However, the course content is generally well-received.

Captions may be helpful for those who have difficulty understanding the instructor's accent.

"I had to turn on closed captioning to read along."

Course content is generally well-received.

"These tricks and hacks were right for me."

"Very good techniques showed."

"Great intermediate Python tips."

Instructor's accent may be difficult for some to understand.

"Sometimes instructor use different language which is little confusing"

"Very hard to understand instructor, I gave up after two videos."

"Instructor's accent is not very much clear but content is good"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Tricks and Hacks for Productivity with these activities:

Connect with Python developers on LinkedIn or GitHub

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Expand your network and seek guidance from experienced Python developers to enhance your learning.

Browse courses on Python Programming

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Create a professional profile on LinkedIn or GitHub.
Join Python-related groups or communities.
Identify potential mentors and reach out to them.

Review Python Crash Course: A Hands-on Project-Based Introduction to Programming

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Review this book to reinforce your understanding of Python programming concepts.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Read through Chapters 1-3 to get an overview of the basics of Python programming.
Complete the exercises in Chapters 4-6 to practice your skills.

Follow a tutorial on Python data visualization with Pandas

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Expand your Python skills by learning data visualization techniques with a guided tutorial.

Browse courses on Python Programming

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Find a reputable tutorial on Python data visualization with Pandas.
Follow the tutorial step-by-step, implementing the code and exploring the concepts.

Six other activities

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Build a Python calculator

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Build a simple Python calculator to apply your knowledge of Python programming.

Browse courses on Python Programming

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Design the calculator's user interface.
Implement the basic arithmetic operations (+, -, *, /).
Add additional features, such as memory storage or error handling (optional).

Develop a Python script to automate a task

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Apply your Python skills to automate a task, enhancing your problem-solving abilities and efficiency.

Browse courses on Python Programming

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Identify a repetitive or time-consuming task that can be automated.
Design the Python script's logic and functionality.
Implement the script and test its functionality.

Solve Python coding challenges on LeetCode

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Challenge yourself with Python coding problems on LeetCode to enhance your problem-solving skills.

Browse courses on Python Programming

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Select a problem that aligns with your skill level.
Analyze the problem statement and design an algorithm to solve it.
Implement your solution in Python and test its correctness.

Attend a Python workshop on machine learning

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Deepen your understanding of Python's applications in the field of machine learning through a hands-on workshop.

Browse courses on Python Programming

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Research and identify a reputable Python machine learning workshop.
Register for the workshop and prepare for active participation.
Attend the workshop and engage with the instructor and fellow participants.

Write a blog post about your experience learning Python

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Share your experience learning Python with others to solidify your understanding and help others.

Browse courses on Python Programming

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Reflect on your learning journey and identify key concepts and challenges.
Write a draft of your blog post, sharing your insights and tips.
Revise and edit your blog post for clarity and coherence.

Contribute to an open-source Python project on GitHub

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Gain practical experience and contribute to the wider Python community by participating in open-source projects.

Browse courses on Python Programming

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Identify Python projects on GitHub that align with your interests and skill level.
Explore the project's documentation and codebase.
Identify areas where you can make contributions and submit a pull request.

Career center

Learners who complete Python Tricks and Hacks for Productivity will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers apply programming skills to develop and maintain machine learning models. Python is a critical language in this field, so this course will teach you tricks and hacks that can improve your productivity and effectiveness. By taking this course, you can gain the skills needed to build and deploy robust machine learning models, unlocking opportunities for a successful career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. Python is among the most common programming languages used in software development, so by taking this course, you will gain valuable skills that can help you succeed in this role. The Python tricks and hacks you will learn can enhance your productivity and coding efficiency, making you a sought-after candidate for Software Engineer positions.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use programming skills to develop and implement mathematical models for financial analysis. Python is a common choice for quantitative analysis, so this course will teach you tricks and hacks that can enhance your productivity and accuracy. By taking this course, you can gain the skills needed to make informed financial decisions and drive business success, making you a more valuable asset to any financial organization.

See salaries and explore the career path for Quantitative Analyst

Data Scientist

Data Scientists leverage programming skills like Python to collect, analyze, and interpret data to draw valuable insights. This course will teach you Python tricks and hacks for productivity, skills that are critical to be an effective Data Scientist. Mastering Python can significantly enhance your competitiveness in the job market and open doors to exciting career opportunities. As a result, this course may be beneficial for you if you are seeking a role as a Data Scientist.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use programming skills to analyze and interpret data. Python is a widely used language in statistics, so this course will teach you tricks and hacks to enhance your productivity and accuracy. By taking this course, you can gain the skills needed to extract valuable insights from data, making you a valuable asset to any research or analytics team.

See salaries and explore the career path for Statistician

Web Developer

Web Developers are responsible for designing and developing websites. Python is a popular choice for web development, so this course will teach you tricks and hacks that can enhance your productivity and efficiency. By taking this course, you can gain skills that will make you a more competitive candidate for Web Developer positions.

See salaries and explore the career path for Web Developer

Data Analyst

Data Analysts use programming skills to gather, clean, and analyze data to identify trends and patterns. This course will teach you Python tricks and hacks for productivity, skills that will enable you to work with data more efficiently. Data Analysts with strong Python skills are highly sought after in various industries, and this course will provide you with an edge in the job market.

See salaries and explore the career path for Data Analyst

Actuary

Actuaries use programming skills to assess and manage financial risks. Python is a commonly used language in actuarial science, so this course will teach you tricks and hacks to enhance your efficiency and accuracy. By taking this course, you can gain the skills needed to quantify and manage financial risks, making you a valuable asset to any insurance or financial organization.

See salaries and explore the career path for Actuary

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. Python is an important language in this field, so this course will teach you tricks and hacks to enhance your productivity and collaboration. By taking this course, you can gain the skills needed to streamline software delivery and improve operational efficiency, making you a valuable DevOps Engineer.

See salaries and explore the career path for DevOps Engineer

Operations Research Analyst

Operations Research Analysts use programming skills to develop and implement mathematical models to optimize decision-making. Python is a common choice for operations research, so this course will teach you tricks and hacks that can enhance your productivity and effectiveness. By taking this course, you can gain the skills needed to solve complex business problems and make informed decisions, making you a valuable asset to any organization.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use programming skills to analyze financial data and make investment recommendations. Python is a popular choice for financial analysis, so this course will teach you tricks and hacks that can improve your productivity and accuracy. By taking this course, you can gain the skills needed to make sound investment decisions and contribute to the success of your organization.

See salaries and explore the career path for Financial Analyst

Data Engineer

Data Engineers are responsible for designing and managing data pipelines. Python is widely used in data engineering, so this course will teach you tricks and hacks to enhance your productivity and efficiency. By taking this course, you can gain the skills needed to build and maintain reliable data pipelines, making you a valuable asset to any organization.

See salaries and explore the career path for Data Engineer

Cybersecurity Analyst

Cybersecurity Analysts use programming skills to protect organizations from cyber threats. Python is a commonly used language in cybersecurity, so this course will teach you tricks and hacks to enhance your effectiveness. By taking this course, you can gain the skills needed to identify and mitigate cyber threats, making you a more valuable asset to any organization.

See salaries and explore the career path for Cybersecurity Analyst

Technical Writer

Technical Writers are responsible for creating user guides, documentation, and other materials that explain complex technical concepts. This course will teach you Python tricks and hacks for productivity, skills that can be useful for organizing and presenting technical information. By taking this course, you can enhance your ability to write clear and concise technical documentation, making you a more effective Technical Writer.

See salaries and explore the career path for Technical Writer

Business Analyst

Business Analysts use data and technology to help organizations improve their operations. This course will teach you Python tricks and hacks for productivity, skills that can be valuable for analyzing data and identifying inefficiencies. By taking this course, you can enhance your ability to provide valuable insights and recommendations to businesses, making you a more effective Business Analyst.

See salaries and explore the career path for Business Analyst

Reading list

We've selected 18 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Tricks and Hacks for Productivity.

Python in a Nutshell

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This comprehensive reference guide to Python programming language, providing detailed information on syntax, functions, modules, and libraries. It can serve as a valuable resource for both beginner and experienced Python programmers.

Python Tricks and Hacks for Productivity

Three deals to help you save

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Save this course

Reviews summary

Python tricks and hacks

Activities

Career center

Reading list

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