{"id":6654,"date":"2025-08-02T07:01:19","date_gmt":"2025-08-02T07:01:19","guid":{"rendered":"https:\/\/ingeniousmindslab.com\/blogs\/?p=6654"},"modified":"2026-01-26T08:24:11","modified_gmt":"2026-01-26T08:24:11","slug":"python-for-data-science-a-complete-guide-for-beginners-in-2025","status":"publish","type":"post","link":"https:\/\/ingeniousmindslab.com\/blogs\/python-for-data-science-a-complete-guide-for-beginners-in-2025\/","title":{"rendered":"Python for Data Science: A Complete Guide for Beginners in 2025"},"content":{"rendered":"<h1 data-start=\"407\" data-end=\"476\"><strong data-start=\"409\" data-end=\"476\">Python for Data Science: A Complete Guide for Beginners in 2025<\/strong><\/h1>\n<p data-start=\"478\" data-end=\"713\">In today\u2019s data-driven world, <strong data-start=\"508\" data-end=\"535\">Python for data science<\/strong> is not just a trend\u2014it\u2019s a necessity. Whether you&#8217;re a student, data enthusiast, or business analyst, mastering Python can open doors to powerful insights and lucrative careers.<\/p>\n<p data-start=\"715\" data-end=\"1004\"><a href=\"https:\/\/ingeniousmindslab.com\/services\/python-development\/\"><strong>Python has become the most popular programming language<\/strong><\/a> in data science due to its simplicity, rich ecosystem, and vast community support. If you&#8217;re wondering where to begin or why to choose Python for data science, this blog will guide you through everything you need to know in 2025.<\/p>\n<h2 data-start=\"1011\" data-end=\"1038\">\ud83d\udd0d What is Data Science?<\/h2>\n<p data-start=\"1040\" data-end=\"1258\">Data science is the practice of using <strong data-start=\"1078\" data-end=\"1128\">data to generate insights and inform decisions<\/strong>. It involves collecting, processing, analyzing, and visualizing large sets of data to discover patterns, trends, and predictions.<\/p>\n<p data-start=\"1260\" data-end=\"1291\">Key components of data science:<\/p>\n<ul data-start=\"1292\" data-end=\"1473\">\n<li data-start=\"1292\" data-end=\"1340\">\n<p data-start=\"1294\" data-end=\"1340\"><strong data-start=\"1294\" data-end=\"1313\">Data Collection<\/strong> (e.g., web scraping, APIs)<\/p>\n<\/li>\n<li data-start=\"1341\" data-end=\"1374\">\n<p data-start=\"1343\" data-end=\"1374\"><strong data-start=\"1343\" data-end=\"1374\">Data Cleaning and Wrangling<\/strong><\/p>\n<\/li>\n<li data-start=\"1375\" data-end=\"1394\">\n<p data-start=\"1377\" data-end=\"1394\"><strong data-start=\"1377\" data-end=\"1394\">Data Analysis<\/strong><\/p>\n<\/li>\n<li data-start=\"1395\" data-end=\"1417\">\n<p data-start=\"1397\" data-end=\"1417\"><strong data-start=\"1397\" data-end=\"1417\">Machine Learning<\/strong><\/p>\n<\/li>\n<li data-start=\"1418\" data-end=\"1442\">\n<p data-start=\"1420\" data-end=\"1442\"><strong data-start=\"1420\" data-end=\"1442\">Data Visualization<\/strong><\/p>\n<\/li>\n<li data-start=\"1443\" data-end=\"1473\">\n<p data-start=\"1445\" data-end=\"1473\"><strong data-start=\"1445\" data-end=\"1473\">Communication of Results<\/strong><\/p>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2 data-start=\"1480\" data-end=\"1518\">\ud83d\udc0d Why Use Python for Data Science?<\/h2>\n<p data-start=\"1520\" data-end=\"1624\">Python has emerged as the <strong data-start=\"1546\" data-end=\"1568\">language of choice<\/strong> for data scientists due to several powerful advantages.<\/p>\n<h3 data-start=\"1626\" data-end=\"1674\">\u2705 Benefits of Using Python for Data Science:<\/h3>\n<ol data-start=\"1675\" data-end=\"2365\">\n<li data-start=\"1675\" data-end=\"1794\">\n<p data-start=\"1678\" data-end=\"1794\"><strong data-start=\"1678\" data-end=\"1704\">Easy to Learn and Read<\/strong><br data-start=\"1704\" data-end=\"1707\" \/>Python\u2019s syntax is clean and beginner-friendly, making it ideal for non-programmers.<\/p>\n<\/li>\n<li data-start=\"1796\" data-end=\"1970\">\n<p data-start=\"1799\" data-end=\"1970\"><strong data-start=\"1799\" data-end=\"1828\">Massive Library Ecosystem<\/strong><br data-start=\"1828\" data-end=\"1831\" \/>Python has libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Matplotlib tailored for every stage of the data science pipeline.<\/p>\n<\/li>\n<li data-start=\"1972\" data-end=\"2094\">\n<p data-start=\"1975\" data-end=\"2094\"><strong data-start=\"1975\" data-end=\"1996\">Community Support<\/strong><br data-start=\"1996\" data-end=\"1999\" \/>A large, active community means you\u2019ll find tons of tutorials, courses, and forums for help.<\/p>\n<\/li>\n<li data-start=\"2096\" data-end=\"2222\">\n<p data-start=\"2099\" data-end=\"2222\"><strong data-start=\"2099\" data-end=\"2125\">Versatile and Scalable<\/strong><br data-start=\"2125\" data-end=\"2128\" \/>From quick analysis to building machine learning models and dashboards, Python scales well.<\/p>\n<\/li>\n<li data-start=\"2224\" data-end=\"2365\">\n<p data-start=\"2227\" data-end=\"2365\"><strong data-start=\"2227\" data-end=\"2259\">Integration with Other Tools<\/strong><br data-start=\"2259\" data-end=\"2262\" \/>Python integrates with SQL, Excel, cloud services, and visualization tools like Tableau or Power BI.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"2367\" data-end=\"2499\">\u2705 <strong data-start=\"2369\" data-end=\"2390\">Focus Keyword Use<\/strong>: Python for data science provides the flexibility, power, and ease necessary for modern analytics workflows.<\/p>\n<h2 data-start=\"2506\" data-end=\"2555\">\ud83d\udcda Essential Python Libraries for Data Science<\/h2>\n<p data-start=\"2557\" data-end=\"2620\">Here are the most widely-used Python libraries in data science:<\/p>\n<h3 data-start=\"2622\" data-end=\"2638\">\ud83d\udd39 <strong data-start=\"2629\" data-end=\"2638\">NumPy<\/strong><\/h3>\n<ul data-start=\"2639\" data-end=\"2757\">\n<li data-start=\"2639\" data-end=\"2694\">\n<p data-start=\"2641\" data-end=\"2694\">Purpose: Numerical operations and array manipulation.<\/p>\n<\/li>\n<li data-start=\"2695\" data-end=\"2757\">\n<p data-start=\"2697\" data-end=\"2757\">Why: It forms the foundation of most data science workflows.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2759\" data-end=\"2776\">\ud83d\udd39 <strong data-start=\"2766\" data-end=\"2776\">Pandas<\/strong><\/h3>\n<ul data-start=\"2777\" data-end=\"2884\">\n<li data-start=\"2777\" data-end=\"2819\">\n<p data-start=\"2779\" data-end=\"2819\">Purpose: Data manipulation and analysis.<\/p>\n<\/li>\n<li data-start=\"2820\" data-end=\"2884\">\n<p data-start=\"2822\" data-end=\"2884\">Why: It makes working with tabular data easy using DataFrames.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2886\" data-end=\"2917\">\ud83d\udd39 <strong data-start=\"2893\" data-end=\"2917\">Matplotlib &amp; Seaborn<\/strong><\/h3>\n<ul data-start=\"2918\" data-end=\"3011\">\n<li data-start=\"2918\" data-end=\"2948\">\n<p data-start=\"2920\" data-end=\"2948\">Purpose: Data visualization.<\/p>\n<\/li>\n<li data-start=\"2949\" data-end=\"3011\">\n<p data-start=\"2951\" data-end=\"3011\">Why: Create charts, graphs, and statistical plots with ease.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3013\" data-end=\"3036\">\ud83d\udd39 <strong data-start=\"3020\" data-end=\"3036\">Scikit-learn<\/strong><\/h3>\n<ul data-start=\"3037\" data-end=\"3135\">\n<li data-start=\"3037\" data-end=\"3065\">\n<p data-start=\"3039\" data-end=\"3065\">Purpose: Machine learning.<\/p>\n<\/li>\n<li data-start=\"3066\" data-end=\"3135\">\n<p data-start=\"3068\" data-end=\"3135\">Why: Includes tools for classification, regression, and clustering.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3137\" data-end=\"3168\">\ud83d\udd39 <strong data-start=\"3144\" data-end=\"3168\">TensorFlow &amp; PyTorch<\/strong><\/h3>\n<ul data-start=\"3169\" data-end=\"3257\">\n<li data-start=\"3169\" data-end=\"3214\">\n<p data-start=\"3171\" data-end=\"3214\">Purpose: Deep learning and neural networks.<\/p>\n<\/li>\n<li data-start=\"3215\" data-end=\"3257\">\n<p data-start=\"3217\" data-end=\"3257\">Why: Build and train powerful AI models.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3259\" data-end=\"3286\">\ud83d\udd39 <strong data-start=\"3266\" data-end=\"3286\">Jupyter Notebook<\/strong><\/h3>\n<ul data-start=\"3287\" data-end=\"3403\">\n<li data-start=\"3287\" data-end=\"3335\">\n<p data-start=\"3289\" data-end=\"3335\">Purpose: Interactive coding and visualization.<\/p>\n<\/li>\n<li data-start=\"3336\" data-end=\"3403\">\n<p data-start=\"3338\" data-end=\"3403\">Why: Great for experimenting, sharing code, and building reports.<\/p>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2 data-start=\"3410\" data-end=\"3461\">\ud83d\udee0\ufe0f Getting Started with Python for Data Science<\/h2>\n<h3 data-start=\"3463\" data-end=\"3498\">1. <strong data-start=\"3470\" data-end=\"3498\">Install Python &amp; Jupyter<\/strong><\/h3>\n<p data-start=\"3499\" data-end=\"3552\">Use Anaconda (recommended) for an all-in-one package:<\/p>\n<ul data-start=\"3553\" data-end=\"3622\">\n<li data-start=\"3553\" data-end=\"3622\">\n<p data-start=\"3555\" data-end=\"3622\">Download from: <a class=\"\" href=\"https:\/\/www.anaconda.com\" target=\"_new\" rel=\"noopener\" data-start=\"3570\" data-end=\"3622\">https:\/\/www.anaconda.com<\/a><\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3624\" data-end=\"3658\">2. <strong data-start=\"3631\" data-end=\"3658\">Set Up Your Environment<\/strong><\/h3>\n<p data-start=\"3659\" data-end=\"3741\">Launch <strong data-start=\"3666\" data-end=\"3686\">Jupyter Notebook<\/strong> from Anaconda Navigator to begin coding interactively.<\/p>\n<h3 data-start=\"3743\" data-end=\"3777\">3. <strong data-start=\"3750\" data-end=\"3777\">Start with Basic Python<\/strong><\/h3>\n<p data-start=\"3778\" data-end=\"3789\">Understand:<\/p>\n<ul data-start=\"3790\" data-end=\"3891\">\n<li data-start=\"3790\" data-end=\"3813\">\n<p data-start=\"3792\" data-end=\"3813\">Variables, data types<\/p>\n<\/li>\n<li data-start=\"3814\" data-end=\"3835\">\n<p data-start=\"3816\" data-end=\"3835\">Loops, conditionals<\/p>\n<\/li>\n<li data-start=\"3836\" data-end=\"3859\">\n<p data-start=\"3838\" data-end=\"3859\">Functions and modules<\/p>\n<\/li>\n<li data-start=\"3860\" data-end=\"3891\">\n<p data-start=\"3862\" data-end=\"3891\">Lists, dictionaries, and sets<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3893\" data-end=\"4006\">\u2705 Tip: Python for data science doesn\u2019t require mastering everything\u2014just what you need for analysis and modeling.<\/p>\n<h2 data-start=\"5462\" data-end=\"5515\">\ud83c\udf93 Best Resources to Learn Python for Data Science<\/h2>\n<h3 data-start=\"5517\" data-end=\"5536\">Online Courses:<\/h3>\n<ul data-start=\"5537\" data-end=\"5693\">\n<li data-start=\"5537\" data-end=\"5591\">\n<p data-start=\"5539\" data-end=\"5591\">Coursera \u2013 IBM Data Science Professional Certificate<\/p>\n<\/li>\n<li data-start=\"5592\" data-end=\"5629\">\n<p data-start=\"5594\" data-end=\"5629\">edX \u2013 Harvard\u2019s Data Science Series<\/p>\n<\/li>\n<li data-start=\"5630\" data-end=\"5693\">\n<p data-start=\"5632\" data-end=\"5693\">Udemy \u2013 Python for Data Science and Machine Learning Bootcamp<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"5695\" data-end=\"5705\">Books:<\/h3>\n<ul data-start=\"5706\" data-end=\"5798\">\n<li data-start=\"5706\" data-end=\"5750\">\n<p data-start=\"5708\" data-end=\"5750\"><em data-start=\"5708\" data-end=\"5734\">Python for Data Analysis<\/em> by Wes McKinney<\/p>\n<\/li>\n<li data-start=\"5751\" data-end=\"5798\">\n<p data-start=\"5753\" data-end=\"5798\"><em data-start=\"5753\" data-end=\"5780\">Hands-On Machine Learning<\/em> by Aur\u00e9lien G\u00e9ron<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"5800\" data-end=\"5813\">Websites:<\/h3>\n<ul data-start=\"5814\" data-end=\"5955\">\n<li data-start=\"5814\" data-end=\"5848\">\n<p data-start=\"5816\" data-end=\"5848\"><a class=\"\" href=\"https:\/\/www.kaggle.com\" target=\"_new\" rel=\"noopener\" data-start=\"5816\" data-end=\"5848\">Kaggle<\/a><\/p>\n<\/li>\n<li data-start=\"5849\" data-end=\"5888\">\n<p data-start=\"5851\" data-end=\"5888\"><a class=\"\" href=\"https:\/\/realpython.com\" target=\"_new\" rel=\"noopener\" data-start=\"5851\" data-end=\"5888\">Real Python<\/a><\/p>\n<\/li>\n<li data-start=\"5889\" data-end=\"5955\">\n<p data-start=\"5891\" data-end=\"5955\"><a class=\"\" href=\"https:\/\/towardsdatascience.com\" target=\"_new\" rel=\"noopener\" data-start=\"5891\" data-end=\"5955\">Towards Data Science on Medium<\/a><\/p>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2 data-start=\"5962\" data-end=\"6011\">\ud83e\uddd1\u200d\ud83d\udcbc Careers That Use Python for Data Science<\/h2>\n<p data-start=\"6013\" data-end=\"6068\">Python skills are in <strong data-start=\"6034\" data-end=\"6049\">high demand<\/strong> across industries.<\/p>\n<h3 data-start=\"6070\" data-end=\"6091\">Common Job Roles:<\/h3>\n<ul data-start=\"6092\" data-end=\"6198\">\n<li data-start=\"6092\" data-end=\"6106\">\n<p data-start=\"6094\" data-end=\"6106\">Data Analyst<\/p>\n<\/li>\n<li data-start=\"6107\" data-end=\"6123\">\n<p data-start=\"6109\" data-end=\"6123\">Data Scientist<\/p>\n<\/li>\n<li data-start=\"6124\" data-end=\"6151\">\n<p data-start=\"6126\" data-end=\"6151\">Machine Learning Engineer<\/p>\n<\/li>\n<li data-start=\"6152\" data-end=\"6166\">\n<p data-start=\"6154\" data-end=\"6166\">AI Developer<\/p>\n<\/li>\n<li data-start=\"6167\" data-end=\"6198\">\n<p data-start=\"6169\" data-end=\"6198\">Business Intelligence Analyst<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6200\" data-end=\"6337\">According to Glassdoor, the average salary for data scientists in the US is over <strong data-start=\"6281\" data-end=\"6298\">$120,000\/year<\/strong>\u2014and Python is often a mandatory skill.<\/p>\n<h2 data-start=\"6344\" data-end=\"6396\">\ud83d\udd10 Challenges in Learning Python for Data Science<\/h2>\n<p data-start=\"6398\" data-end=\"6456\">While Python is beginner-friendly, common hurdles include:<\/p>\n<ul data-start=\"6457\" data-end=\"6588\">\n<li data-start=\"6457\" data-end=\"6488\">\n<p data-start=\"6459\" data-end=\"6488\">Understanding data structures<\/p>\n<\/li>\n<li data-start=\"6489\" data-end=\"6512\">\n<p data-start=\"6491\" data-end=\"6512\">Debugging code errors<\/p>\n<\/li>\n<li data-start=\"6513\" data-end=\"6551\">\n<p data-start=\"6515\" data-end=\"6551\">Interpreting machine learning output<\/p>\n<\/li>\n<li data-start=\"6552\" data-end=\"6588\">\n<p data-start=\"6554\" data-end=\"6588\">Scaling models with large datasets<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6590\" data-end=\"6676\">\u2705 Pro Tip: Start small. Focus on one project at a time and build confidence gradually.<\/p>\n<h2 data-start=\"6683\" data-end=\"6731\">\ud83e\uddea Python Projects for Data Science Beginners<\/h2>\n<p data-start=\"6733\" data-end=\"6805\">Practice is the best way to learn. Here are some beginner project ideas:<\/p>\n<ul data-start=\"6807\" data-end=\"6990\">\n<li data-start=\"6807\" data-end=\"6841\">\n<p data-start=\"6809\" data-end=\"6841\">Analyze COVID-19 or weather data<\/p>\n<\/li>\n<li data-start=\"6842\" data-end=\"6874\">\n<p data-start=\"6844\" data-end=\"6874\">Build a stock market dashboard<\/p>\n<\/li>\n<li data-start=\"6875\" data-end=\"6913\">\n<p data-start=\"6877\" data-end=\"6913\">Create a movie recommendation system<\/p>\n<\/li>\n<li data-start=\"6914\" data-end=\"6950\">\n<p data-start=\"6916\" data-end=\"6950\">Visualize global population trends<\/p>\n<\/li>\n<li data-start=\"6951\" data-end=\"6990\">\n<p data-start=\"6953\" data-end=\"6990\">Predict house prices using regression<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6992\" data-end=\"7068\">Working on projects helps you build a portfolio and apply real-world skills.<\/p>\n<h2 data-start=\"7075\" data-end=\"7117\">\ud83c\udf10 The Future of Python in Data Science<\/h2>\n<p data-start=\"7119\" data-end=\"7289\">Python continues to evolve with new tools, integrations, and performance boosts. With AI becoming more prevalent, <strong data-start=\"7233\" data-end=\"7260\">Python for data science<\/strong> will remain at the heart of:<\/p>\n<ul data-start=\"7290\" data-end=\"7431\">\n<li data-start=\"7290\" data-end=\"7312\">\n<p data-start=\"7292\" data-end=\"7312\">Healthcare analytics<\/p>\n<\/li>\n<li data-start=\"7313\" data-end=\"7333\">\n<p data-start=\"7315\" data-end=\"7333\">Financial modeling<\/p>\n<\/li>\n<li data-start=\"7334\" data-end=\"7354\">\n<p data-start=\"7336\" data-end=\"7354\">Climate prediction<\/p>\n<\/li>\n<li data-start=\"7355\" data-end=\"7397\">\n<p data-start=\"7357\" data-end=\"7397\">Retail and customer behavior forecasting<\/p>\n<\/li>\n<li data-start=\"7398\" data-end=\"7431\">\n<p data-start=\"7400\" data-end=\"7431\">Smart city and IoT applications<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7433\" data-end=\"7488\">The future is bright\u2014and <strong data-start=\"7458\" data-end=\"7487\">Python is leading the way<\/strong>.<\/p>\n<h2 data-start=\"7495\" data-end=\"7515\">\ud83d\udcdd Final Thoughts<\/h2>\n<p data-start=\"7517\" data-end=\"7712\">If you&#8217;re serious about a career in analytics, there\u2019s no better time to start learning <strong data-start=\"7605\" data-end=\"7632\">Python for data science<\/strong>. It\u2019s powerful, flexible, and essential for modern data-driven decision-making.<\/p>\n<p data-start=\"7714\" data-end=\"7956\">Start by learning Python basics, then explore libraries like Pandas and Scikit-learn. Practice with real datasets and build small projects. With consistency and curiosity, you&#8217;ll gain the skills needed to solve real-world problems using data.<\/p>\n<p data-start=\"7958\" data-end=\"8036\">So, are you ready to harness the power of <strong data-start=\"8000\" data-end=\"8027\">Python for data science<\/strong> in 2025?<\/p>\n<h3 data-start=\"8043\" data-end=\"8083\">\ud83d\ude4b Frequently Asked Questions (FAQs)<\/h3>\n<p data-start=\"8085\" data-end=\"8279\"><strong data-start=\"8085\" data-end=\"8153\">Q1: Do I need to be good at math to use Python for data science?<\/strong><br data-start=\"8153\" data-end=\"8156\" \/>A basic understanding of statistics is helpful, but most tasks can be done with libraries that handle complex math for you.<\/p>\n<p data-start=\"8281\" data-end=\"8423\"><strong data-start=\"8281\" data-end=\"8360\">Q2: Can I learn Python for data science without any programming background?<\/strong><br data-start=\"8360\" data-end=\"8363\" \/>Yes! Python\u2019s simplicity makes it ideal for non-programmers.<\/p>\n<p data-start=\"8425\" data-end=\"8596\"><strong data-start=\"8425\" data-end=\"8477\">Q3: What\u2019s better: Python or R for data science?<\/strong><br data-start=\"8477\" data-end=\"8480\" \/>Python is more versatile and widely used in real-world applications, though R is excellent for statistical research.<\/p>\n<p data-start=\"8598\" data-end=\"8725\"><strong data-start=\"8598\" data-end=\"8661\">Q4: How long does it take to learn Python for data science?<\/strong><br data-start=\"8661\" data-end=\"8664\" \/>With regular practice, you can get comfortable in 2\u20133 months.<\/p>\n<p data-start=\"8598\" data-end=\"8725\">\n","protected":false},"excerpt":{"rendered":"<p>Python for Data Science: A Complete Guide for Beginners in 2025 In today\u2019s data-driven world, Python for data science is not just a trend\u2014it\u2019s a necessity. Whether you&#8217;re a student, data enthusiast, or business analyst, mastering Python can open doors to powerful insights and lucrative careers. Python has become the most popular programming language in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":6838,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[103,108],"tags":[223],"class_list":["post-6654","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-custom-system","category-trends","tag-python"],"acf":[],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/posts\/6654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/comments?post=6654"}],"version-history":[{"count":3,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/posts\/6654\/revisions"}],"predecessor-version":[{"id":6839,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/posts\/6654\/revisions\/6839"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/media\/6838"}],"wp:attachment":[{"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/media?parent=6654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/categories?post=6654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ingeniousmindslab.com\/blogs\/wp-json\/wp\/v2\/tags?post=6654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}