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Malick A. Sarr

Data Scientist

Data Analyst

Malick A. Sarr

Data Scientist

Data Analyst

Blog Post

Top-notch Resources to Learn Python

September 9, 2024 Python
Top-notch Resources to Learn Python

Resources to Learn Python

Cracking open Python is like discovering a treasure chest filled with endless possibilities for anyone who is into programming. Whether you’re just starting out or already a code ninja, Python will probably be a good language to learn. In this post, I will go through a couple of resources, outside this website for you to start learning how to code.

Why Learn Python

So, why bother with Python? Let’s make it real simple.

  • Easy to Learn: Python reads almost like English, making it a breeze to pick up, especially if you’re just getting your feet wet. No more staring at cryptic codes, wondering what alien language you’ve stumbled into. This makes it the best for newbies (Forbes).
  • Highly Flexible: From building websites to crunching data, automating stuff, and even dabbling in AI, Python’s got you covered. It’s a one-stop-shop for all your coding needs (Forbes).
  • Top of the Pops in Job Market: Python is hot and in demand. Big names like Google, YouTube, and Netflix swear by it. If you’re looking to get hired and paid well, Python is your ticket (Forbes).
  • You’ll Never Be Alone: The Python community is like that ever-reliable buddy—always ready to help with tutorials, forums, and loads of libraries to make your life easier.

For a deeper dive into why Python rocks, check out our article on why learn Python.

Python’s Versatility

Python’s versatility is where it truly shines. Here’s the lowdown on what makes Python a game-changer:

  • Automate the Boring Stuff: With Python, you can say goodbye to repetitive tasks. Think generating reports, managing files, or controlling your web browser with a flick of the wrist.
  • Data Science Wiz: Python is the go-to for data analysis and visualization. Tools like Pandas, Matplotlib, and Seaborn make data playtime fun and effective (python in data science).
  • Web Development Made Easy: Django and Flask are Python’s wingmen when it comes to building rock-solid, scalable web apps.
  • Testing, Testing: Python makes software testing a walk in the park. It’s the go-to for writing test scripts and automation tools.
  • AI and ML for Real: Dive into the world of AI and machine learning with powerful libraries like TensorFlow, Keras, and scikit-learn.
Application AreaPopular Libraries/Frameworks
Data AnalysisPandas, NumPy
VisualizationMatplotlib, Seaborn
Web DevelopmentDjango, Flask
AutomationSelenium, PyAutoGUI
AI/MLTensorFlow, Keras

For more juicy details about Python’s many talents, swing by my article on python use cases. It has way more application than the ones presented above.

Now you’re clued in on why Python rules the roost. If you’re looking to save time on tasks, dive into data science, or whip up web apps, Python has your back. Want more? Check out my introduction to Python and history of Python articles.

Resources for Learning Python

Learning Python can feel like a thrilling adventure with its ups and downs. Thankfully, there’s a heap of resources to help everyone — from noobs to coding pros — master this flexible programming language. Here, you’ll find some of the best online tutorials and free courses to kickstart your Python journey.

Online Tutorials

Online tutorials let you cruise through learning at your own speed. Here are some of the top platforms loaded with comprehensive tutorials:

1. Python.org’s Beginner’s Guide to Downloading Python
The official Python site has an easy-to-follow guide to download and set up Python on your computer. The step-by-step instructions make it a breeze for newbies.

2. W3Schools Python Tutorial
W3Schools is a go-to for user-friendly tutorials. Their Python guide walks you through the basics, syntax, and even advanced topics. It’s like having a patient teacher for all levels.

3. DataCamp’s Introduction to Python
DataCamp zeroes in on Python for data science. It’s great for those wanting to dig into data analysis and visualization.

4. Green Chameleon Learning’s Python for Absolute Beginners on Udemy
This Udemy course hits all the right notes for total beginners. It mixes basics with practical examples and exercises to cement what you learn.

5. Coursera’s Introduction to Programming with Python and Java Specialization
Teaming up with the University of Pennsylvania, this Coursera course lays down the fundamentals of programming with Python and Java, setting up fresh programmers for success.

Free Python Courses

On a budget? No worries. Plenty of free Python courses online cover different learning styles and skill levels:

1. Coursera
Coursera’s got heaps of free Python courses from top schools and companies. Look for the free audit option.

2. Microsoft Learn
Microsoft Learn offers free, self-paced Python courses. They range from basic programming to AI and machine learning.

3. Udemy
Udemy lists various free Python courses ideal for beginners. They’re mostly introductory but still pack a punch with fundamental knowledge.

4. Google IT Automation with Python
This Coursera gem by Google suits those aiming to automate tasks using Python, covering essential skills and practical applications.

5. freeCodeCamp
freeCodeCamp, a nonprofit platform, rolls out a full Python curriculum along with plenty of hands-on projects to keep things interesting.

6. Codecademy
Codecademy’s interactive Python course is free. It covers everything from basics to advanced concepts, fitting for hands-on learners.

ResourceTypeCostSuitable For
Python.org’s Beginner’s GuideTutorialFreeBeginners
W3Schools Python TutorialTutorialFreeAll levels
DataCamp’s Introduction to PythonCoursePaid/Free TrialData Analysts
Green Chameleon Learning’s Python for Absolute BeginnersCoursePaidAbsolute Beginners
Coursera’s Programming with Python and JavaCourseFree/PaidNew Programmers
CourseraCourseFree/PaidAll levels
Microsoft LearnCourseFreeAll levels
UdemyCourseFree/PaidBeginners
Google IT Automation with PythonCourseFreeAutomation
freeCodeCampCourseFreeAll levels
CodecademyCourseFree/PaidInteractive Learners

For a complete guide on python for beginners, don’t forget to explore my other articles! They’re crammed with useful info and hands-on tips to help you rock Python.

Python Bootcamps

Excited to jump into Python bootcamps? These crash courses in coding are perfect for getting you fluent in Python fast, even if you’ve never written a line of code before. When I was learning data science in university, our faculty organized a couple of BootCamps led by companies such as SAS, Facebook, etc, to teach us highly specialized skills in a couple of days. That knowledge was very valuable and really useful since it had real application in the job market.

Curriculum Snapshot

Python boot camps set you up with the basics and build your skills step-by-step. Perfect for anyone new to coding, they start with the fundamentals and grow from there. Here’s a taste of the topics you’ll be tackling:

TopicWhat You’ll Learn
Intro to PythonVariables, Data Types, Basic Math
Control FlowIf Statements, Loops, Error Handling
Functions and ModulesWriting Functions, Using Libraries
Data StructuresLists, Dictionaries, Sets, Tuples
OOP (Object-Oriented Programming)Classes, Objects, Inheritance
Web DevelopmentBasics of Flask/Django
Data ScienceLibraries like Pandas, NumPy
ProjectsReal-World Applications, Capstone Projects

You’ll get hands-on with projects that cement your understanding of theory. By the end, you’ll be solving real-world problems, feeling comfortable with Python.

Yeah, it’s intense and sets you back $2,000 to $4,000, but it usually pays off—85% of grads find jobs within six months Nucamp Blog.

Real-World Uses

Python’s not just a coding gimmick—it’s a powerhouse used everywhere. Bootcamps line up with what industries need, making them gold for your job hunt. Here’s where you might use Python:

  1. Web Development: Think Django and Flask for building solid web apps. In bootcamps, you’ll start basic and move to complex with CRUD operations and beyond.

  2. Data Science and Analytics: Here’s where the fun begins. Use Pandas to play with data, NumPy for crunching numbers, and Matplotlib/Seaborn for pretty charts. Python rules in this field.

  3. Automation and Scripting: Tired of repetitive stuff? Automate it with Python. Learn to craft scripts for web scraping, data entry, or keeping tabs on systems.

  4. Machine Learning: Become a mini data scientist with libraries like Scikit-learn, TensorFlow, and Keras. Bootcamps let you build and train machine learning models from scratch.

Handy Table of Real-World Uses:

IndustryTools You’ll Use
Web DevelopmentDjango, Flask
Data SciencePandas, NumPy, Matplotlib, Seaborn
AutomationSelenium, BeautifulSoup
Machine LearningScikit-learn, TensorFlow, Keras

Python bootcamps make sure you’re job-ready with skills industries need. Dive deeper with my Python Use Cases and more related reads.

Joining a Python bootcamp levels up your coding game and opens doors to real-world applications. Check out my other resources on learning Python here or explore the benefits of using Python in your career.

Must-Read Python Books

If you’re eager to get a grip on Python, there’s plenty of top-notch reading material. Whether you’re just getting started or ready to dive deeper, these books got you covered.

For the Newbies

Starting with Python can feel like fighting a hydra, but picking the right book can turn it into a walk in the park. Here are some books perfect for beginners:

1. Automate the Boring Stuff with Python

  • Author: Al Sweigart
  • Overview: Simplifies the basics and teaches you how to automate tedious tasks.
  • Highlights: Engages beginners with practical applications.

2. Python Crash Course

  • Author: Eric Matthes
  • Overview: A fast-paced intro to Python, touching on basics and fun projects.
  • Highlights: Learn by building a game, making data visualizations, and creating web applications.

3. Introducing Python

  • Author: Bill Lubanovic
  • Overview: Offers a thorough introduction with a focus on modules and packages.
  • Highlights: Practical examples with organized code.

Here’s a handy table to summarize these beginner-friendly books:

Book TitleAuthorFocusAvailable at
Automate the Boring StuffAl SweigartBasics and automating tasksLink
Python Crash CourseEric MatthesBasics, projects, and practical exercisesLink
Introducing PythonBill LubanovicComprehensive intro with a focus on modules and packagesLink

Need even more beginner tips? Check my Python for beginners guide.

Level-Up Your Python Skills

Got the basics down? Time to dive into the bigger pool of advanced topics. Here’s a list of books to pump up your skills:

1. Effective Python

  • Author: Brett Slatkin
  • Overview: Contains 59 specific tips for writing better Python code.
  • Highlights: Emphasizes better coding practices.

2. Fluent Python

  • Author: Luciano Ramalho
  • Overview: A deep dive into writing idiomatic Python.
  • Highlights: Covers advanced features in depth.

3. Serious Python

  • Author: Julien Danjou
  • Overview: A guide on advanced topics like classes, metaclasses, and scaling.
  • Highlights: Practical advice for production-ready code.

4. Practices of the Python Pro

  • Author: Dane Hillard
  • Overview: Focuses on professional-level design and maintainability.
  • Highlights: Perfect for long-term project development.

5. Intuitive Python

  • Author: David Muller
  • Overview: Promotes productive and intuitive development.
  • Highlights: Enhances productivity for bigger projects.

Check out the summary table for these advanced resources:

Book TitleAuthorFocusAvailable at
Effective PythonBrett SlatkinTips for improving coding techniquesLink
Fluent PythonLuciano RamalhoIdiomatic code and Python’s sophisticated featuresLink
Serious PythonJulien DanjouAdvanced topics about classes, metaclasses, and moreLink
Practices of the Python ProDane HillardProfessional design and project maintainabilityLink
Intuitive PythonDavid MullerProductivity and intuitive coding for larger projectsLink

Dive into these books to boost your Python prowess, making complex projects a breeze. For more on Python and its vibrant community, explore Python’s community ecosystem and Python’s popular libraries.

Why Python is Your Go-To Language

Python is a versatile programming language that’s easy to pick up and packs a punch with its endless benefits. Let’s break down two areas where Python shines: automating those pesky repetitive tasks and crunching numbers with style.

Automate the Boring Stuff

Python’s clean syntax makes it a breeze for newbies and non-coders alike to take control of dull, repetitive chores. Imagine you’re a marketer swamped with generating emails, pulling data from all over, and creating reports. Python can step in and take that load off (Forbes).

Here’s a peek into how Python can come to the rescue with some must-have modules:

Job To Be DonePython ModuleWhat It Does
File shuffling and organizingos, shutilJuggle file operations — think create, read, delete etc.
Scraping info off websitesBeautifulSoup, ScrapyGather data from the web
Babysitting your datapandas, openpyxlPlay with data and handle Excel files
Sending out emails without a fusssmtplibFire off emails all coded up

Jump into more details on how Python makes coding simpler on our python simple syntax page.

Data Analysis and Visualization

Python is a beast for data analysis and visualization. The data science crowd loves its killer libraries like pandas, NumPy, matplotlib, and seaborn. These tools make it easy to tame big datasets, crunch numbers, and make data look good (Forbes).

LibraryWhat It Does
pandasManipulate and analyze data like a wizard
NumPyPerform complex numerical computations
matplotlibCreate stunning static, animated, and interactive visualizations
seabornDeliver beautiful statistical data visualizations

Researchers and analysts swear by Python for diving into intricate data analysis and churning out top-notch visuals. This knack for pictures helps folks spot trends, grab insights, and show off their findings. Python underpins the tech used by big names like Google, YouTube, Spotify, and Netflix (Forbes).

For a deeper dive into Python’s role in the data science world, check out our article on python in data science.

Using Python to automate tasks and analyze data can skyrocket your productivity. Whether you’re just starting out or you’re a seasoned pro, Python’s friendly syntax and powerful libraries make it the trusty sidekick you need to tackle a boatload of tasks with swagger. For more insights on Python’s perks, have a look at why learn python and python popular libraries.

Self-Study vs. Coding Bootcamps

Trying to master Python? You’ve got choices: self-study or coding bootcamps. Both are great but come with their own pros and cons. Let’s break it down so you can make a solid choice.

Pros and Cons

Self-Study

Pros:

  • Flexibility: You call the shots. Learn when you want, where you want. It’s perfect if you’ve got a jam-packed schedule.
  • Budget-Friendly: Loads of free or cheap resources like Coursera, HackerRank, and coding forums. Self-learners usually only spend about $1,200 on learning stuff (according to Nucamp Blog).
  • Variety of Resources: Videos, forums, interactive platforms—take your pick and find what clicks for you.

Cons:

  • No Set Path: Going solo means you might miss important topics or lose steam.
  • Little Support: Finding a mentor can be tricky, which can slow you down during tough spots.
  • Takes Time: You’ll need to invest 10-20 hours per week, and how long it takes depends on your pace and dedication (Nucamp Blog).

Coding Bootcamps

Pros:

  • Structured Learning: Bootcamps hit all the must-know skills like JavaScript, React, and MongoDB in a well-organized way.
  • Job Help: They boast an 85% job placement rate within 6 months. Career support all the way (Nucamp Blog).
  • Quick Route: It’s intense—20-30 hours a week for 3-6 months.

Cons:

  • Pricey: Anywhere from $2,000 to $4,000 on average (Nucamp Blog).
  • Tight Schedule: A big chunk of time, not flexible at all.
  • Stressful: The fast pace isn’t for everyone.
ComparisonSelf-StudyBootcamps
Cost~$1,200$2,000-$4,000
PacingFlexibleFixed
Weekly Hours10-2020-30
SupportMinimalAll-in
Completion TimeVaries3-6 months

Job Placement Rates

Job placement is a big deal when choosing between the two. Bootcamps tend to win here. They offer a clear edge with an 85% placement rate within six months, thanks to their career services (Nucamp Blog).

Self-studying? It’s tougher, but not impossible. Strong portfolios and good networking are your best friends. Utilize Python communities and platforms like LinkedIn and GitHub to find mentors and opportunities.

Whether you choose self-study or a bootcamp, think about your own situation and goals. Need more info? Check out my guide on python career opportunities to zero in on what’s best for you.

Dive into our articles on introduction to python and python interactive mode to kickstart your learning adventure.

So, you wanna jump into Python programming, huh? Well, you’re in the right place. There’s a bunch of resources to learn Python, but let me cut through the noise and show you some of the hottest online courses. Here’s the lowdown on what they offer and how long they’ll take you.

Top Online Courses

Introduction to Python Programming by Udemy

    • Perfect for complete newbies. You’ll get the hang of writing scripts and functions, no coding experience needed.
    • Duration: Less than 2 hours
    • Get more details

    Introduction to Python by DataCamp

      • If “fun” learning is your jam, this one’s for you. It uses real-world datasets from MLB and FIFA to make data analysis enjoyable. Interactive exercises keep you on your toes.
      • Duration: 4 hours
      • Find out more

      Here’s a quick look at the juicy bits:

      CourseProviderBest ForDuration
      Introduction to Python ProgrammingUdemyBeginners< 2 hours
      Introduction to PythonDataCampFun Learning4 hours

      Course Breakdown: Time and Content

      Both courses are designed for all types of learners. Fast or slow, beginner or somewhat experienced, you can find your groove.

      Introduction to Python Programming by Udemy

      • Duration: Less than 2 hours
      • What’s Inside:
      • Basic Python scripting
      • Function creation
      • Syntax and structure essentials

      In just under two hours, you’ll get a speedy intro to Python. It’s your fast pass to understanding what Python is all about.

      Introduction to Python by DataCamp

      • Duration: 4 hours
      • What’s Inside:
      • Data analysis goodies
      • Hands-on exercises
      • Real-world datasets (think MLB and FIFA)

      DataCamp’s course turns learning into a game, making complex concepts engaging and fun. It’s a solid pick if you wanna see how Python plays a crucial role in data science.

      Check out these courses to kickstart your Python adventure. And if you’re still hungry for more, don’t miss our guides on Python for complete beginners and the amazing history of Python. Happy coding!

      Cost Breakdown

      Thinking about learning Python? Well, you might want to know what you’re signing up for when it comes to costs. Let’s break down the expenses for coding bootcamps and self-study options.

      Bootcamp Bills

      Bootcamps are like the express lanes of learning—fast, focused, and often pricey. They’re all about getting you from zero to hero with languages like Python, JavaScript, and more. Here’s what you’ll be shelling out:

      ExpenseAverage Cost
      Tuition$11,118
      Time Commitment20-30 hours/week for 3-6 months
      Extras (Books/Tools)Included in Tuition

      Yep, you read that right. Bootcamp tuition can set you back between $2,000 and $4,000, but the average in the US is around $11K (Nucamp Blog). On the bright side, they claim an 85% job placement rate within six months—so the return on investment might just be worth it (Nucamp Blog).

      Want to know how Python learned here can shape your career? Check out our industry applications section.

      Self-Study Savings

      Not keen on burning a hole in your pocket? Self-study could be your jam. With heaps of free and cheap resources like Coursera, HackerRank, and coding forums, you can learn at your own pace. Here’s a quick look:

      ExpenseAverage Cost
      Learning Materials/Tools$1,200
      Time Commitment10-20 hours/week (varies)
      ExtrasMinimal (Optional Courses/Certs)

      Self-studiers spend around $1,200 on materials (Nucamp Blog). It’s way cheaper and super flexible. But it’s not all sunshine and rainbows—lack of mentorship and motivation can be big hurdles.

      To mix things up, join some online forums and communities for support. Our article on the python community ecosystem is a goldmine for making connections.

      Whether you choose the bootcamp fast track or the self-study pathway, your decision should vibe with your learning style, wallet, and career dreams. For a deeper dive into this topic, head over to my section on self-study vs coding bootcamps.

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